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Changes in Athletes' Anxiety, Anger, and Impulsiveness following : Changes in Athletes' Anxiety, Anger, and Impulsiveness following
Concussion
Megan Byrd
Follow this and additional works at: https://researchrepository.wvu.edu/etd
Recommended Citation
Byrd, Megan, "Changes in Athletes' Anxiety, Anger, and Impulsiveness following Concussion" (2017).
Graduate Theses, Dissertations, and Problem Reports. 5294.
https://researchrepository.wvu.edu/etd/5294
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Changes in Athletes’ Anxiety, Anger, and Impulsiveness following Concussion
Megan Byrd, M.S.
Dissertation submitted to the College of Physical Activity
and Sport Sciences at West Virginia University
in partial fulfillment of the requirements for the degree of
Doctor of Philosophy
In
Kinesiology
With an emphasis in Sport and Exercise Psychology
Sam Zizzi, Ed.D, Chair.
Anthony Kontos, Ph.D.
Edward Etzel, Ed.D
Damien Clement, Ph.D., ATC
College of Physical Activity and Sport Sciences
Morgantown, West Virginia
2017
Keywords: Concussion, Sport, Anger, Anxiety, Impulsivity, Mental Health, Athletes
Copyright 2017 Megan Byrd
ABSTRACT
Changes in Athletes’ Anxiety, Anger, and Impulsiveness Following Concussion
Megan Byrd
The impacts and effects of sport-related concussion have been considered a major health concern
as early as 1999 (Kelly, 1999) and have continued to be a prominent topic of controversy among
all levels of sport. Amidst this concern and controversy, the emotional impacts of sport-related
concussion, particularly anxiety, anger, and impulsivity are still relatively unknown. The
primary purpose of this study was to examine the relationship between sport concussions and
anger, anxiety, and impulsivity in collegiate athletes. The secondary purpose of this study was to
determine if there is a subset of athletes who are more likely to exhibit certain emotions based on
pre-existing risk factors, or the manner in which the concussion was sustained. The study utilized
a multi-method, longitudinal design and was sequential in nature. Participants were male and
female collegiate athletes and completed the study during three time points: (a) 1 to 10 days post
diagnosis (n = 30) (b) 11 to 21 days post-concussion (n = 12), and (c) 30 days post-concussion (n
= 10). Slightly more than half (n =16) of athletes reported self or others noticing a difference in
their behavior or mood since sustaining a concussion and the mean on all measures were above
norms for college aged men and women during time point a. Most notably, 11 out of 30 athletes
scored above a 10 on the clinical anxiety measure, indicating a diagnosable level of anxiety for
Generalized Anxiety Disorder. Overall, the results indicated that the athletes were experiencing
anxiety, anger, and impulsivity following concussion and anxiety seemed to be the mediating
factor. The more anxious athletes felt regarding their symptoms and symptomology, the more it
seemed to influence their frustration and behavior. Results indicated that the athletes believed
they would benefit from education regarding the affective symptoms of concussions and that
rehabilitation of concussions should be tailored to each athletes’ symptomology.
iii
Acknowledgments
To say completing a dissertation takes a village would be a vast understatement. Luckily, I have
found myself among incredible people who didn’t give up on me, even when I was ready to give
up on myself. This dissertation journey began five years ago during my PhD interview with Dr.
Sam Zizzi when he asked me what it meant to lose the forest among the trees. So, it’s only fitting
that it ends (or starts a new beginning) in a similar fashion. The magnitude of guidance and
support provided by Dr. Zizzi is unmeasurable and difficult to convey in words. Thank you for
trekking through the literature forest with me and serving as a beacon of light when I found
myself traveling too far. You lead by an example I can only hope to follow and are the type of
advisor I strive to be. You remind me not to take myself too seriously and to always engage in
karmic cleansing. Thank you.
I would like to thank Dr. Anthony Kontos for agreeing to meet me in a coffee shop two years
ago, and even more so for listening to what I assumed were grandiose ideas for a dissertation.
Without your willingness to share your breadth of knowledge and resources, this dissertation
does not happen. Thank you for your honest and genuine feedback and suggestions during this
process. Your work in concussions is inspiring and I’m grateful to play a small part in
improving recovery and rehabilitation for athletes. Thank you.
Dr. Etzel is the source of big picture thinking. Thank you for reminding my why the work we do
is important and how small gestures can make a huge difference. From sending articles about
concussions or baseball to allowing me to sit in your office in the comfy blue chairs when I
needed a minute to myself, thank you for showing me what reaching out looks like. Thank you.
I’m grateful to Dr. Damien Clement for agreeing to be involved in this project even after the self
proclamation, “I don’t mess with concussions.” Thank you for being a stable voice among the
instability that has been this project. You provided information in an area I knew very little about
and did so with patience. Thank you.
To all the help along the way: thank you Trevor Jones, Danielle Funk, Adam Hansell, Brandon
Lucke-Wold, Cindy Holland, Valerie Reeves, Jake Manumalo, Alison Pope-Rhodius, and rest
the staff, faculty, and students at John F. Kennedy University.
When you join a PhD program, you join a family. At WVU, we have a great one. Thank you to
all the SPAFers who came before me, who experienced it with me, and who will come after me.
Ashley, Chelsea, Pete, and Jesse; thank you for always answering my texts and showing me the
way. MegHan, Stefanee, and Tammy; thank you for being my tribe and a source of unwavering
love and support. Sharing in the highs and lows along the way makes everything worth it.
Thank you to all of my friends near and far, and Drew for keeping me sane during an
inconceivably insane situation.
Thank you to my exceptional family. Dad, Mom, Adam, Stephen, and everyone else I’m lucky to
call part of me. You have provided me the opportunity to grow through and never doubted my
abilities. Love you.
v

Table of Contents
Introduction . . . . . . . . . . 01
Concussion Symptoms. . . . . . . . 04
Emotional and Behavioral Responses Following Concussion. . . 04
A New Approach: Concussion Profiles. . . . . . 08
Methods . . . . . . . . . . 09
Research Design . . . . . . . . 09
Participants . . . . . . . . . 10
Instrumentation. . . . . . . . . 12
Procedure . . . . . . . . . 15
Data Analysis: Quantitative Phase. . . . . . . 16
Data Analysis: Qualitative Phase. . . . . . . 17
Results . . . . . . . . . . 18
Quantitative Phase . . . . . . . . 18
Qualitative Phase . . . . . . . . 23
Discussion . . . . . . . . . . 33
Conclusion . . . . . . . . . 53
References . . . . . . . . . . 54
Appendix A – Extended Literature Review . . . . . . 72
Appendix B – Tables and Figures . . . . . . . 148
Appendix C – Consent Form . . . . . . . 150
Appendix D – Assessments . . . . . . . 153
Appendix E – Interview Guide . . . . . . 160
vi
List of Tables and Figures
Figure 1 – Using Concussions Clinical Trajectories ..
.
.
Table 1 – Athlete Pseudonyms and Demographics Phase 3 Participants.
Table 2- Mean Differences on Paried Samples T-Test
Table 3- Descriptive Data Time Point 1 and 2.
.
.
.
Table 4 – Bivariate Correlations of Significant Symptoms . .
Table 5- Demographics for Phase 1 and 2 Participants
.
.
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.
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.
.
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.
66
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67
67
68
69
72
1
Introduction
In the 10-year period from 2000 to 2010, emergency room visits for sports- and
recreation-related head injuries among adults and adolescents have increased by 60% (Centers
for Disease Control, 2010). In sport, incidence rates per athletic exposure (number of practices
and competitions in which an individual actively participates) of all high school sports is 4.9 per
10,000 athletic exposures and collegiate sports is 3.4 per 10,000 athletic exposures (Gessel et al.,
2007; Hootman, Dick, & Agel, 2007; Lincoln et al., 2011). A concussion, as defined in the
Zurich consensus statement, is a pathophysiological process resulting in functional neurological
impairments, as a consequence of forceful biomechanical impacts directly on or transmitted to
the head, neck, or face (McCroy et al., 2013). In a retrospective study of 328 collegiate football
and soccer players using self-reported symptoms of concussion, Delaney and colleagues (2002)
found that 62.7% of soccer players and 70.4% of football players experienced symptoms of a
concussion during their previous athletic season. Headache was the most commonly experienced
symptom (71%) followed by confusion and disorientation (56%). A history of concussions have
been shown to be a significant risk factor for repeat concussions (McCrory et al., 2013) and other
neurological conditions, including early-onset Alzheimer’s disease (Graves et al., 1990;
Rasmusson, Brandt, Martin, & Folstein, 1995), chronic depression (Holsinger et al., 2002),
epilepsy (Langlois, Rultand-Brown, & Wald, 2006) and chronic traumatic encephalopathy (CTE;
McCrory, Zazryn, & Cameron, 2007; Omalu et al., 2005).
Unfortunately, stories of athletes who have taken their lives are becoming increasingly
more common. Many of these athletes who have taken their lives have shown signs of brain
injury sustained from concussions in post-mortem brain scans in the form of CTE, a degenerative
2
disease typically caused by multiple hits to the head. CTE can only be diagnosed after death, but
patients with CTE often display symptoms such as impulsivity, forgetfulness, depression, and
sometimes suicidal ideation (Omalu et al., 2005). While the link between CTE and sport
concussion is still being investigated and there are conflicting views on the relationship, it is
clear that athletes are experiencing emotional symptoms following concussion. For example,
qualitative studies with former professional hockey players detailed suicidal ideations in those
who sustained repeated concussions during their career (Caron, Bloom, Johnston, & Sabiston,
2013; Gulli, 2011). In 2014, 22-year-old Kosta Karageorge, an Ohio State football player, and
former collegiate wrestler, was found dead from a self-inflicted gunshot wound. He sustained
numerous concussions throughout his playing career and in a text to his mother prior to his death
Kosta referenced his concussions saying they had his head “all messed up” (Thamel, 2014).
While the link between CTE and sport concussion is still being investigated, and there are
conflicting views on the relationship, tragedies such as this can be prevented with proper medical
attention following concussion.
Concussions are a type of traumatic brain injury (TBI) and while the phrases
“concussion” and “mild TBI” are often used interchangeably this paper will use the term
concussion as a subset of TBI. Concussions may occur from a direct hit to the head, face, neck or
elsewhere that results in a force to the head. Rapid functional neurological impairments are often
a consequence of concussion that may be short-lived or protracted. Concussion severity ranges
from “mild” (i.e., a brief change in mental status or consciousness) to “severe” (i.e., an extended
period of unconsciousness or memory loss after the injury), however all brain injuries are serious
and may occur without loss of consciousness.
3
Due to the nature and the mechanism of concussion, combined with the physical and
psychological symptoms, athletes may be more vulnerable to negative mood states such as
depression, isolation, and anxiety, as compared to athletes suffering from musculoskeletal
injuries (Chen, Johnston, Petfies, & Pitio, 2008; Hutchison et al., 2009). Therefore, the emotional
sequelae following concussion is an area for continued research as a preventative measure
against suicide and other mental health issues. By better understanding the manifestation of
symptoms following concussion, more specific individualized treatment plans can be developed
to aid athletes in their recovery and future health.
Collegiate and professional leagues have reformed rules regarding legality of plays,
equipment, and return to play protocols to enhance athlete safety. However, even with better
detection and stricter rules it has been estimated that as high as 50% of concussions go
undiagnosed (McCrea et al., 2004) due to athletes’ unwillingness to report symptoms, and
delayed symptom onset (Beckwith et al., 2013; Delaney et al., 2002; Duhaime, et al., 2012).
These incident rates do not account for subconcussive impacts, which are characterized as hits to
the head that do not cause a concussion to occur, but repeated exposure has been found to be as
detrimental as concussions (McKee et al., 2009).
Following concussion, and during symptom recovery, an athlete is more susceptible to
future head injury, so return to play decisions should be made carefully and with proper testing
and screening (Baugh, 2014; McCrory et al., 2013). The American Academy of Neurology has
recommended the use of neurological assessment to measure severity and assess treatment,
specifically return to play guidelines (Giza et al., 2013). Neuropsychological assessments, such
as the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT 2.0; Lovell,
4
Collins, Podell, Powell, & Maroon, 2000), test memory function, reaction time, and speed of
cognitive processing.
Concussion Symptoms
Signs and symptoms following concussion are often characterized into four discrete
system clusters: somatic, cognitive, emotional, and sleep-related (Pardini et al., 2004). In 80% of
athletes, these symptoms typically resolve in less than three weeks (Iverson, Brooks, Collins, &
Lovell, 2006) with 20% of athletes experiencing lingering symptoms. Little is known about how
a concussion changes the brain on either a structural or a neurochemical level (Henry, Tremblay,
Boulanger, Ellemberg, & Lassonde, 2010) and so it is difficult to determine if athletes’
psychological symptoms are purely emotional, or if they are caused by change within the brain.
This unknown factor can lead to difficulties in studying athletes with concussions, specifically
the cluster of emotional responses. There is research to suggest that neurobiological and
pathophysiological changes associated with brain injury, regardless of severity level, may be
directly related to the onset of psychological symptoms (Chen et al., 2008; Hudak et al., 2011;
Reger et al., 2012). Concussions and head injuries often damage the prefrontal cortex, ventral
frontal lobe and the anterior temporal lobe, which are implicated in recognizing, regulating, and
reacting to emotionally relevant stimuli (Etkin, 2010; Etkin, 2012; Kennedy et al., 2007).
Emotional and Behavioral Responses Following Concussion
There is substantial research documenting the emotional and behavioral responses
following injury that include depression, tension, anger, anxiety, frustration, and boredom (e.g.,
Brewer, Van Raalte, & Linder, 1991; Leddy, Lambert, & Ogles, 1994). With the combination of
physical and psychological symptoms of concussions, athletes who sustain concussions may
5
experience different emotional responses to injury compared to athletes who have sustained
musculoskeletal injuries (Hutchison et al., 2009). Furthermore, concussions have no outward
visibility, so concussed athletes may present different responses during rehabilitation and
recovery than an athlete who has a visible injury with specific physical limitations.
The most frequently cited and studied emotional symptom following concussion is
depression (Guskiewicz et al., 2007; Rutherford, 1977). Given the high degree of comorbidity
between depression and anxiety (Stavrakaki & Vargo, 1986) and non-concussed injured athletes’
endorsement of anxiety during the rehabilitation process (e.g., Mainwaring et al., 2010; Tracey,
2003) athletes with concussion may be prone to both anxiety and depression after injury. General
anxiety disorder (GAD) in persons following a TBI has been reported at rates that are double
those found in the general population (Hiott & Labbate, 2002). A retired professional hockey
player once described his experience with anxiety following a concussion as, “Anxiety.
Absolutely. That year was the worst I’ve ever felt…use the comparison of having your foot on a
gas pedal and everything is going too fast. Everything was going too fast for me” (Caron, Bloom,
Johnston, & Sabiston, 2013, p. 172).
In a prospective cohort study by Yang, Peek-Asa, Covassin, & Tomer (2015), the authors
found that among 67 male and female Division I collegiate athletes who sustained a concussion
within the 2007-2008 to 2011-2012 seasons, one-fifth of concussed athletes (n = 14, 19.8%)
reported experiencing symptoms of depression, and one-third of concussed athletes (n = 24;
33.8%) reported symptoms of anxiety. Post-concussion symptoms of depression significantly co
occurred with post-concussion state anxiety (OR = 8.35; 95% CI = 2.09, 33.34). Similarly,
Bailey et al. (2010) found that in 47 concussed college football players, 13% of the athletes had
6
elevated anxiety levels as compared to their baseline scores. Additionally, 4% of the athletes had
clinically significant levels of anxiety compared to their baseline scores and met the diagnostic
criteria for an anxiety disorder. These studies demonstrate that athletes do experience feelings of
anxiety following concussion and the findings should be replicated to further understand when in
the recovery process athletes feel anxious and how long the feelings linger.
Athletes with head injury history who have taken their lives may have done so due to
depressive feelings they cannot seem to overcome, although another reason may be due to
increased impulsive behavior while feeling anxious or depressed. Impulsivity is a construct that
encompasses a multitude of behaviors or responses that frequently result in unwanted or
damaging outcomes (Daruna & Barnes, 1993). Impulsivity is a common consequence following
head injury (Rochat, Ammann, Mayer, Annoni, & van der Liden, 2009; Starkstein & Robinson,
1997), and is also related to difficulties with emotional regulation, such as irritability and poor
temper control (Cattran, Oddy, & Wood, 2011). The prefrontal cortex, a commonly injured
region, plays an important role in emotional and behavioral regulation, as well as social
awareness. Grafman and colleagues (1996) suggested that the inability to control one’s behavior
may result from a loss of frontal lobe inhibition due to damage to the subcortical limbic
structures in the brain that are involved in the facilitation of aggression and impulses to act. In
athletes, these impulses may lead to risk-taking behaviors after concussion. Research shows that
male athletes are more likely to engage in risk-taking behaviors, such as substance abuse, alcohol
use, and injurious behavior, than males who are non-athletes (Kokoatlio, Henry, Koscik,
Fleming, & Landry, 1996). Thus, impulse control problems and poor emotion regulation after
concussion could put athletes at greater risk for additional problems such as re-injury (i.e.,
7
returning to sport too soon), self-injury (i.e., suicidal ideation), or dysfunctional behaviors
outside of sport. This risk may be greater given the prevalence of irritability following
concussion.
Eames and Wood (2003) have described a cluster of symptoms characterized by
intermittent states of altered affect or behavior called temporolimbic disorders in patients with
TBI. They have noted that the change in often sudden, unpredictable, and typically “out of
character” for that individual. This type of behavior has been termed an intermittent form of
anger following head trauma, and that is closely related to impulse control disorders. Anger has
been recognized as a prevalent emotion in sport (Brunelle, Janelle, & Tennant, 1999) and has
been endorsed by athletes following sports injury (e.g., Brewer et al., 1991; Leddy et al., 1994).
There are theories as to why anger is experienced after sport injury, many centered on frustration
that accompanies sport injury.
Compared to athletes with musculoskeletal injuries, athletes with concussions have
higher reported levels of anger one and two weeks post injury (Hutchison et al., 2009), but this
research is limited because it did not follow athletes through return to play. Research has yet to
determine if the change in anger was due to removal from play or the concussion itself. Using the
State-Trait Anger Expression Inventory-2 (STAXI-2; Spielberger, 1999), Bailie and colleagues
(2015) examined the impact of TBI on the experience and expression of anger in a military
population. Compared to participants without history of TBI, participants with TBI were four
times more likely to have three or more atypical STAXI-2 scale scores than the control group,
with the largest difference on the state anger scale (η2 = 0.10). This effect indicates that TBI does
8
have a moderate influence on a person’s anger levels, but these findings have not been replicated
in an athlete population.
As a way to illustrate the differences in emotions between athletes with concussion and
other injuries, Mainwaring (2008) presented the concussion crevice profile using data the short
form Profile of Mood States Assessment (Morgan, 1980). It was found that athletes with
concussion had elevated levels of fatigue, low vigor, elevated depression, and confusion scores.
Likewise, as compared to athletes with other types of injury (Hutchison et al., 2009) and non
injured athletes (Mainwaring et al., 2004) concussed athletes had greater mood disturbance,
decreased energy, and increased levels of fatigue and confusion. Based on their research of the
emotional sequelae of concussion, Mainwaring and colleagues (2012) have advocated for more
comprehensive concussion management approaches that include the assessment and
management for emotional symptoms.
A New Approach: Concussion Profiles
As a way for research to unite practice and inform rehabilitation programs, Collins,
Kontos, Reynolds, Murawski, and Fu (2014) have developed a conceptual approach to
developing clinical profiles to inform the treatment of sport-related concussion (Figure 1). The
model suggests using assessment information including a clinical interview and
neuropsychological data from athletes to gauge the trajectory of the concussion and to inform the
treatment plan. Based on empirical data and clinical experience, the model postulates that
symptoms are indicative of the treatment and rehabilitation pathway that would be most
beneficial to an athlete’s recovery. For instance, if an athlete presents with cognitive symptoms
such as confusion and emotional symptoms, such as sadness, the athlete would likely be on the
9
mood and anxiety profile. To determine the concussion profile, athletes would be assessed within
the first seven days of injury when they experience the highest manifestation of symptoms, then
reassessed one to two weeks later. If clinicians can better gauge the trajectory the concussion
may take, the rehabilitation and treatment can be geared toward those specific symptoms.
Based on the existing literature on the emotional sequelae of concussions, particularly the
gaps in understanding of athletes’ experiences over time, the purpose of this study was to explore
the relationship between sport concussions and impulsivity, anger, and anxiety in collegiate
athletes. The study also seeks to determine if there is a subset of athletes who are more likely to
exhibit certain emotions based on pre-existing risk factors, or the manner in which the
concussion was sustained. The study’s repeated measures, multi-method design with multiple
dependent variables will allow the researcher to track emotional responses over time in an athlete
population.
Research Design
Methods
A multi-method, longitudinal design was used to explore the emotional sequelae post
concussion in collegiate athletes. The study was sequential in nature as first the participants were
given the quantitative assessments, which informed the follow-up interviews. The study was
conducted over three time points: (a) 1 to 10 days post-diagnosis, (b) 11 to 21 days post
concussion, and (c) 30 days post-concussion. Time points “a” and “b” reflected the quantitative
portion of the study and the qualitative interviews took place 30 days post-concussion. In
additional to demographic and injury-related items, the participants filled out measures of
concussion symptoms, anxiety, anger, and impulsiveness.
10
The benefit of conducting a multi-method study is the opportunity to follow up on
quantitative scores, or capture differences that are not represented by the measures (Greene &
McClintock, 1985). Furthermore, researchers (e.g., Brewer, 1993; Johnston & Carroll, 1998;
Udry et al., 1997) have recommended the need for using qualitative methods early in the injury
process and collecting several data points in injury recovery. The data from both sources was
used in combination to create a more holistic and detailed description of the experiences of the
participants. The data was not combined for analysis, but to aid in making sense of both sets of
data. As Denzin and Lincoln (2000) stated, triangulation in this perspective, “is best understood
as a strategy that adds rigor, breadth, complexity, richness, and depth to any inquiry’ (p. 5). By
simultaneously tracking multiple emotions in one study over time, this study improves upon
previous research designs regarding the emotional sequelae of concussions.
Participants
Participants were recruited through multiple NCAA institutions, a sports medicine center
and snowball sampling. Thirty-seven athletes were recruited during the course of two years to
participate. Of those 37, a total of 30 collegiate athletes completed the quantitative surveys (81%
response rate) 1 to 10 days post-concussion and 12 of 30 athletes completed surveys (40%
response rate) 11-21 days post-concussion. Ten of 12 volunteered to complete the qualitative
portion of the study 30 days post-concussion (83% response rate). There are two potential
reasons as to why the response rate of athletes declined between 1 to days post-concussion and
11 to 21 days post-concussion. First, athletes may have been cleared to play and no longer
experiencing concussion symptoms, thus no longer interested in completing a survey on their
concussion symptoms. Secondly, participation in all three phases of this study were time
11
consuming and athletes were not compensated for their time. Demographics for athletes who
completed Phase 1 or Phase 2, including scores on the Post-Concussion Symptom Scale, can be
found in Table 5.
Athletes met the inclusion criteria if they were at least 18 years of age and diagnosed with
a sport-related concussion by a medical professional. According to the National Collegiate
Athletic Association (NCAA) concussion policy (NCAA, 2013) the concussion must be
diagnosed by a “physician or physician’s designee.” Concussion diagnosis was based on the
following criteria:
(1) observed or reported acceleration/deceleration of the head (2) any observable
alteration in mental status; and/or (3) observable signs such as confusion, vacant stare,
poor coordination, difficulty concentrating, poor balance; and/or (4) any self-reported
symptoms such as headache, loss of consciousness, nausea, balance problems, or
difficulty reading or concentrating.
Participants were male (n = 23) and female (n = 7) collegiate athletes from soccer (n = 3),
volleyball (n = 2), football (n = 22), lacrosse (n = 1), diving (n=1), and basketball (n = 1) who
sustained a sport-related concussion during the fall 2015 through fall 2016 athletic seasons.
Athletes ranged in year in school from freshman to graduate student, with the highest number of
participants in their senior year (n = 19). The mean age of participants was 20.47 (SD = 2.01).
One fifth (n = 6) of athletes had been diagnosed with more than one concussion during the year.
The range of number of concussions sustained during their collegiate careers thus far was 1 to 4,
with a mean of 1.6 (SD = .95). Slightly more than half (n =16) of athletes reported self or others
noticing a difference in their behavior or mood since sustaining a concussion. Four athletes
disclosed being previously diagnosed with a mental illness. Two athletes indicated they had been
previously diagnosed with anxiety, one athlete reported having a learning disability, and the
12
fourth athlete did not disclose their mental illness. Only 1 athlete who completed all three phases
of the study disclosed previously having a mental illness (anxiety). De
Demographic data for the 10 athletes who participated in all three data collections periods
differed slightly from the athletes who participated in solely the quantitative portion. Participants
mean years of age was similar (M = 20.10, SD = 2.92) to the larger sample. Athletes were male
(n = 4) and female (n = 6) collegiate athletes from football (n = 4), soccer (n = 2), volleyball (n =
2), lacrosse (n = 1), and basketball (n =1). The biggest difference in the samples were the number
of concussions in their college careers (M = 2.3, SD = 1.16) and 80% of the athletes reported self
or others noticing a difference in mood or behavior since their concussion, and one athlete
reported having previously been diagnosed with a mental illness (anxiety disorder). The athletes’
pseudonyms and demographics, including scores on the Post-Concussion Symptom Checklist
can be found in Table 1.
Instrumentation
During time periods 1 (1–10 days post-concussion) and 2 (11-21 days post-concussion),
athletes were given the following quantitative assessments to assess reported levels of anxiety,
anger, and impulse during their recovery period.
(1) Demographic questionnaire (time point 1 only) assessing athletic sport history, age,
sport type, concussion history, how the concussion occurred, and mental health history.
(2) Post-concussion Symptom Scale. Concussion symptoms were measured using the
Post-Concussion Symptom Scale (PCSS; Lovell & Collins, 1998) of the Immediate Post
Concussion Assessment and Cognitive Test (ImPACT Version 2.0; Lovell, Collins, Podell,
Powell, & Maroon, 2000). It is a 21-symptom checklist to document and track concussion
13
symptoms on a 7-point Likert scale (0 = no experience of a symptom to 6 = severe symptom).
The items on the scale were developed to represent player report symptoms as opposed to
medical verbiage (i.e., feeling “slow”). Iverson, Lovell, and Collins (2003) found evidence of
moderate test-retest reliability (r = .65) and pre-to post-season intraclass correlation (r = .55).
Internal consistency reliability on the PCSS in samples of non-concussed high school and college
students has ranged from .88 to .94 (Lovell et al., 2006). In high school and college athletes with
concussions, Cronbach alphas for men and women were .93 and .92, respectively (Lovell et al.,
2006). Symptoms are classified into five categories based on normative data for healthy men and
women and categorized by severity (low-normal, broadly normal, borderline, very high, and
extremely high).
(3) Barratt Impulsiveness Scale-version II. Impulsivity was measured using the Barratt
Impulsiveness Scale–II (BIS-II; Patton, Stanford, & Barratt, 1995). The original scale was
developed to relate impulsiveness, along with anxiety, to psychomotor efficiency (Barratt, 1959).
Through several factor analytic studies (e.g., Barratt, 1965; Barratt, 1985) it was concluded that
impulsiveness was not unidimensional and three sub-trait factors were identified, motor
impulsiveness, non-planning, and attentional impulsiveness. However, the majority of studies
using this scale have reported only the total score, ignoring both the first-and second-factor
subscales (Stanford et al., 2009).
The scale has 30 questions that are ranked on a 4-point Likert scale (1 = rarely/never to 4
= almost always/always), with 4 indicating the most impulsive response. The higher the summed
score for all items, the higher level of impulsiveness. Example items from the questionnaire are
“I plan tasks carefully; I say things without thinking; I am restless at lectures or talks.” This
14
questionnaire has shown good internal consistency in college undergraduates (α = .84, Hatfield
& Dula, 2014) and test-retest reliability (Stanford, et al., 2009). Total score means for men and
women in an adult sample (N = 1577; n = 1178 college students) are 62.8 (SD = 9.2) for men,
and 62.1 (SD = 10.6) for women. Previous studies (e.g., Patton et al., 1995) have used a BIS-11
score of one standard deviation above the mean to designate high impulsiveness.
(4) State-Trait Anger Inventory-2. Perceptions of anger were assessed using the State
Trait Anger Inventory (STAXI-2; Spielberger, 1999). The inventory consists of six major scales
and five subscales measuring the experience, expression, and control of anger. The STAXI-2 is
comprised of 57-items measured on a 4-point Likert type scale (1 = not at all/almost never, 4 =
very much so/almost always). For the purpose of this study, only the State-Anger subscale will
be used. State-Anger (S-Anger; 15 items) refers to an emotional state consisting of subjective
feelings that vary in intensity from mild annoyance to intense fury, accompanied by muscular
tension and arousal of the automatic nervous system. This subscale was chosen for two reasons.
First trait anger, as a personality measure, would not likely be effected in a short period of time.
Second, research by Bailie et al. (2015) found the largest statistically significant effect on the
State Anger subscale when comparing military personnel who had a history of at least one TBI
as compared to a control group of persons with no TBI history (η2 = 0.10). Internal consistency
reliability has a Cronbach alpha value ranging from .73 to .95 for the total scale and .91 for the
S-Anger subscale (Spielberger, 1999).
(5) Generalized Anxiety Disorder 7-item. Anxiety was assessed on the generalized
anxiety disorder 7-item screening measure (GAD-7; Spitzer, Kroenke, Williams, & Lowe, 2006).
It has 7 items answered on a 4-point Likert Scale (0 = not at all sure; 3 = nearly every day). The
15
GAD-7 is a clinical anxiety assessment, with a score above 10 indicating a probable diagnosis of
anxiety, and a score above 15 indicating severe anxiety. This measure was developed based on
the anxiety disorder diagnosing criteria in the Diagnostic and Statistical Manual of Mental
Disorders, Fourth Edition (DSM-IV). In the construction of the assessment, patients who were
diagnosed with GAD had a mean score of 14.8 (M = 14.8; SD = 4.7), compared to a mean score
of 4.9 (M = 4.9; SD = 4.8) of people without GAD. Participants are prompted with “Over the last
2 weeks, how often have you been bothered by the following problems?” Example problems are
“feeling nervous, anxious, or on edge” and “trouble relaxing.” Internal consistency was reported
as Cronbach alpha α = .92, and test-retest reliability has shown good intraclass correlation of .83.
This measure was chosen because it is brief and can be used as a screening tool for athletes. All
participants were provided with information to counseling services, in addition athletes who
scored above 10 on this measure were followed up with by the PI and encouraged to seek
counseling services.
Procedure
Institutional Review Board approval was obtained at two institutions, a large Mid
Atlantic Division I university and a Regional Medical Center. Participants were recruited for
voluntary participation via team doctors, head athletic trainers, or through snowball sampling
from other participants. Once recruited, athletes gave informed consent via signature or online
acceptance prior to taking part in the study (Appendix C). All athletes were assigned a code
number and identifier kept separately from the data to protect confidentiality. Athletes completed
the surveys in-person or using Qualtrics online software. All data was stored in a password
16
protected computer inside a locked office and on a secure online database (Qualtrics Research
Suite, 2014).
After athletes completed the questionnaires at time point 2, an interview time was
scheduled. At time point 3, the athletes participated in a semi-structured interview with the head
researcher via synchronous computer-mediated interviewing on Skype (n = 1), face-to-face (n =
1), or telephone (n = 8). The purpose of the interviews were to capture the athletes’ experiences
with their emotional changes that could not be assessed via the quantitative measures. Semi
structured interviews were used to provide participants “flexibility to express their opinions,
ideas, feelings, and attitudes” (Smith & Sparkes, 2016, p. 103). The majority of interviews lasted
approximately 35-40 minutes, were audio recorded and then transcribed verbatim. The interview
modality was chosen by the participant depending on travel and their convenience. Non-verbal
communication from the two athletes who participated in the Skype and face-to-face interviews
were noted. Although phone interviews can lose the physical information provided by face-to
face interviews, Hanna (2012) argues that telephone interviews provide safety for participants
that may lead to the disclosure of sensitive information they might be hesitant to share in face-to
face interviews. The interview guide asked athletes to explain their experiences with the
emotional impacts of concussion, by prompting them with their survey scores (e.g., “You scored
X on the anxiety measure. Can you tell me more about the anxiety you were feeling regarding
your sport concussion?; Where do you think these emotional changes come from?”).
Data Analysis: Quantitative Phase
Descriptive statistics. Descriptive statistics were used to determine the characteristics of
the sample based on (a) gender; (b) age; (c) sport (e) concussion (g) range of scores on
17
instruments, including means, medians, modes, and standard deviation per item and overall
scores at 1 to 10 days post-concussion and 11 to 21 days post-concussion. Descriptive data for
each time point can be found in Table 3.
Inferential Statistics. Three, one way repeated measures ANOVAs were calculated
used to answer the first research question: “Do athletes’ measured levels of impulsivity, anger,
and anxiety change after sustaining a concussion during their sport season?” It was hypothesized
that the athletes will score highest out of the three time points on impulsivity, anger, and anxiety
after an athlete has been cleared to play.
To determine if there is a subset of athletes who are more likely to exhibit certain
emotions based on pre-existing risk factors, Pearson correlation coefficients were calculated to
show the bivariate relationship between each of the symptoms assessed (i.e., headache, dizziness,
fatigue, balance problems, sadness, nervousness) and emotional responses (i.e., anger, anxiety,
and impulsiveness).
Data Analysis: Qualitative Phase
Qualitative data was analyzed using thematic analysis (Grbich, 1999; Braun & Clarke,
2006). Thematic analysis allows for patterns to emerge and be described across an entire data set
(Braun, Clarke, & Weate, 2016). First, the researcher familiarized self with the qualitative data
by transcribing or reviewing the transcriptions of the interview and then generated initial codes
throughout the data set. Initial codes were generated using abductive coding to establish three
higher themes based on pre-determined dependent variables of (1) anxiety, (2) anger, and (3)
impulsivity. Next, themes were searched for and organized in lower order themes that were
coded using InVivo Coding (Strauss, 1987). This type of coding is used to ensure that themes
18
and concepts are as representative of the participants’ words as possible. Themes were then
reviewed in relation to the dataset and checked for examples that did not fit within the themes.
The code of impulsivity required extensive example checking as the athletes talked about a range
of items within this topic. Lastly, themes were refined and links between the themes were
created.
Reliability of the interviews was established by audio-recording all interviews and
transcribing the interviews verbatim. Additionally, quotes have been presented in length with the
question that prompted the response included where applicable. Data trustworthiness was
established through using specific questions to capture significant experiences related to
concussion (Denzin & Lincoln, 2015). Another way to ensure the trustworthiness of findings is
through methodological integrity (Levitt, Motulsky, Wertz, Morrow, & Ponterotto, 2017). Levitt
and colleagues (2017) describe methodological integrity as a context-driven approach where the
research design and procedures support the research goals. As the purpose of this study was to
understand how athletes experience emotional effects after concussion, using a sequential design
of quantitative assessments to influence qualitative interviews fits this approach.
Results
Quantitative Phase
Descriptive Data. Assessment means were higher during 1 to 10 days post-concussion
than 11 to 21 days post-concussion, with the exception of the BIS-II. The athletes mean score on
the STAXI-2 was 22.9 (SD = 10). The mean on the STAXI-2 decreased to 19.33 (SD = 6.7) 11 to
21 days post-concussion. The mean score on the BIS-II 1 to 10 days post-concussion was 66.53
(SD = 10.8) and 67.5 (SD = 10) 11 to 21 days post-concussion. On the GAD-7, the mean score
19
was 7.4 (SD = 5.6) 1 to 10 days post-concussion and decreased to 6.25 (SD = 6.6). Eleven
athletes scored above a 10 on the GAD-7 1 to 10 days post-concussion, indicating a probable
diagnosis of anxiety. Athletes scored a mean of 47.7 (SD = 30.2) on the PCSS 1 to 10 days post
concussion and substantially lower 11 to 21 days post-concussion with a mean of 16.0 (SD =
16.3). By gender, women average symptoms were 45.14 (SD = 35) and men scored an average of
16.3 (SD = 19.6) at 1 to 10 days post-concussion. At 11 to 21 days post-concussion, women had
an average of 16.3 (SD = 19.6) and men had an average of 15.2 (SD = 15.9). Mean scores and
standard deviations for all variables can be found in Table 3.
Effect of Time on Outcome Measures. Mean differences in scores on the assessments
were only significant on the Post-Concussion Symptom Checklist (PCSS). On the PCSS, athletes
selected significantly more concussion symptoms (M = 53.7, SE = 8.26) t(11) = 5.55 p < .05, r=
.83 1 to 10 days post-concussion that 11 to 21 days post-concussion. The range of scores 1 to 10
days post-concussion was 1 to 92 (M = 47, SD = 30.1), and the range of scores 11 to 21 days
post-concussion was 0 to 42 (M = 16, SD = 16.3). At 1 to 10 days post-concussion, headache was
the symptom selected the most often (n = 28) and with the highest intensity (M = 3.2, SD = 1.8).
The next most frequently endorsed symptoms were fatigue (n = 23), feeling fogging (n = 23),
and difficulty remembering (n = 23) and irritability (n = 21). At 11 to 21 days post-concussion,
fatigue (M = 1.3, SD = 2.2, n = 4), excessive sleep (M = 1.8, SD = 2.3, n = 5), irritability (M =
1.8, SD = 2, n = 6), feeling foggy (M = 1.3, SD = 1.8, n = 5), and difficultly concentrating (M =
1.5, SD = 2.1, n = 6), and difficulty remembering (M = 1.2, SD = 1.9, n = 4) were the only
symptoms with means above 1.0.
20
When only including the 10 participants who completed all three phases, significant
differences were found on the GAD-7. All participants indicated some feelings of anxiety (M =
10, SD = 3.68) 1 to 10 days post-concussion with five of the ten participants scored above a 10
on the GAD-7, a screening tool for anxiety. A score above 10 on this tool is indicates a probable
diagnosis of anxiety and of those, one scored 17, indicating severe anxiety. All athletes who
scored above a 10 were referred to counseling services. AT 11 to 21 days post-concussion
athletes scored an average of 5.5 (SD = 5.7). Athletes endorsed significantly higher feelings of
anxiety (M = .2, SD = 3.12) t(9) = 2.32, p < .05, , r = .57 during 1 to 10 days than 11 to 21 days
post-concussion. Nine of 10 athletes scored lower at the second point (M = 5.5, SD = 5.68), with
the exception being the athlete who indicated previously being diagnosed with an anxiety
disorder.
Mean differences between 1 to 10 days and 11-21 days post-concussion on the anger and
impulsivity measures were not significant with all participants who completed both quantitative
phases (n = 12) or with the athletes who completed all three phases (n = 10). All mean
differences can be found in Table 3.
Correlational Analyses. To determine if there was a relationship between reported
symptoms, concussion history, and scores on the three assessments, several point-biserial and
bivariate correlations were conducted. Point-biserial correlations were conducted on the
dichotomous variables where a response of no was equal to zero, and yes was equal to 1. There
was a significant relationship between the variable “Have you or others noticed a difference in
your behavior or mood since sustaining a concussion?” and the variable “How many concussions
have you been diagnosed with in your college career?”, rpb (28) = .52, (all p<.05. The
21
concussion history variable “Have you been diagnosed with more than one concussion during
this year?” was positively correlated with scores on the BIS-II during 11 to 21 days post
concussion, rpb (10) = .66 The only other demographic variable with significant correlations was
“Have friends or family noticed a difference in your mood or behavior since sustaining a
concussion.” This variable was negatively correlated with scores on the STAXI-2 1 to 10 days
post-concussion, r pb (28)= -.46 and negatively correlated with scores on the GAD-7 during 1 to
10 days post concussion rpb (28)= -.42.
Bivariate correlations supported a significant relationship (all p<.05) between scores on
the PCSS and scores on the STAXI-2 r (28) = .72, and GAD-7 r(28) = 64 at 1 to 10 days post
concussion. At the 11-21 days post-concussion, scores on the PCSS were significantly correlated
to scores on the GAD-7, r (10) = .72. Symptom scores on the PCSS were not correlated with the
BIS-II at either time point. To determine which symptoms on the PCSS were related to scores on
the GAD-7 and the STAXI-2, follow up analyses were conducted. All significant correlation
coefficients are reported in Table 4. The highest correlated symptom with the STAXI-2 was
balance problems, r (28) = .7, and loss of sleep, r. = .76. At 1 to 10 days post=concussion, the
highest correlated symptoms with the GAD-7 were feeling “foggy,” r (28) = .63 and balance
problems, r (28)= .6. During 11 to 21 days post- concussion, there was a significant relationship
(all p<.05) between scores on the GAD-7 and most symptoms on the PCSS and the four with the
highest correlation were visual problems r (10) = .8, sadness r (10)= .76, excessive sleep r (10) =
.75, and irritability, r (10)= .7.
22
Qualitative Phase
Codes were developed based on a thematic analysis and an abductive approach (a
combination of inductive and deductive coding). The semi-structured interview guide was
influenced by the quantitative results, such as asking about their reported concussion history and
athletes were provided scores on the quantitative assessments when applicable (i.e. “You scored
x on this anxiety measure, which decreased between time points”).
Theme 1: Anxiety
“The unknown.” A theme emerged around the notion that each athlete was experiencing
something unique and different from other athletes and how many facets of concussions are still
unknown. They talked about how they tried to make sense of their anxious feelings surrounding
the unknown factors of being able to complete school work, their recovery, and most concerning
was not being able to regulate their own emotions. Snow White talked extensively about feeling
alone and wondering how other athletes felt after their concussions, “Was I different? Did
everyone else feel this weird? Why couldn’t I stop crying and just…chill out.” Ariel had a
similar experience and discussed being alone on campus as her concussion occurred shortly
before holiday break and also wondering how others with similar injuries dealt with their
feelings:
Knowing how other people can relate is always helpful because um, like now it’s winter
break at (school) and only the basketball teams and uh hockey teams are here…I’m
always alone it feels like and sometimes I have those nights where I just feel I don’t want
to say almost depressed, but almost lonely and emotional and like, why is this going on?
So it would be nice to have an outlet to go to someone and be like hey, have you had this
23
feeling before? I don’t know how to get out of this, can you suggest anything? Do you
have any recommendations or advice?
Many athletes talked about the anxiety associated with not knowing when they would
feel “normal” again or the severity of their injury. Belle commented on the interplay of her
injury, her school work, and the process of returning to sport, “I was pretty anxious because it
was also exam period and didn’t really know, um, the severity of it either, and then additional to
that, you know, just the daily symptom check reminder like, ‘Oh, do I really feel better?’ or ‘Is it
just the same?” you know, like trying to identify with the numbers as well as possible.” Naveen
expressed his anxiety surrounding the severity of his concussion:
Now when you hear concussion you think about all your friends who have trouble
remembering things and the stories on ESPN or whatever on CTE. I just wanted to know
when I could play again and it seemed like no one could tell me. I thought that meant I
was bad off, but I guess it just meant they didn’t know.
Cinderella shared, “Who’s going to say I’m not going to have headaches for the rest of
my life?” Jasmine had a similar thought as Naveen and Cinderella, “One night before I went to
bed I was begging my headache to go away so I could sleep. I just wanted it to go away and I
was so anxious that I would have a headache for the rest of my life.” She was emotional when
recalling this memory, specifically how scared she was about lingering symptoms. Like Naveen,
Jasmine mentioned previous teammates and their battles with post-concussion symptoms. Belle
had a comparable experience, “you’re getting anxiety in the middle of the night and it’s like, “Oh
24
my god,” and “I can’t sleep” and I have, you know, to be at training in the morning. Stuff like
that, and going on just an emotional roller coaster, to say the least.”
Mulan seemed to have the most difficulty understanding her spike in anxiety scores
during her first 20 days of concussions recovery. For her, it led to frustration with her mental
health provider as well as her athletic training staff:
I am already an anxious person. I know that about myself and take medication regularly
because I have anxiety. But, when I talked to my doctor he didn’t say anything about how
my concussion may have made it worse. It felt way worse. Like, I remember, I remember
when I filled out the survey the second time, I think, I felt really bad so that makes sense
it was higher. I couldn’t concentrate on anything because I felt so anxious all day. My
headaches didn’t really go away for a while so maybe that’s why I was anxious? That
kinda makes me mad, why wouldn’t my doctor think to ask me about my concussion
when I complained my anxiety was worse? Or maybe it was my fault for not bringing it
up.
In Mulan’s case, she had a pre-existing anxiety disorder that may have been exacerbated
by her concussion symptoms, particularly her headaches. In terms of her medical staff,
Cinderella introduced the idea of lasting impacts and her fear surrounding her length of recovery
that led her to feel anxious:
I was pretty concerned that I was taking a long time to recover...I was concerned that
there might be something that might show up on the CT. I was concerned about going to
see a neurologist. I was concerned about what the doctors would say about my head and
what I’m always concerned about: doctor’s telling me I couldn’t play sports anymore but
25
I kinda make that decision for myself...I was concerned about my cognitive functioning
for, for a long time like not being able to remember things, not being able to keep up in
conversations, um yeah, and then that was definitely very noticeable after this last
concussion and I started to notice it after the previous one as well so that was very scary
for me.
For some athletes this unknown factor was so intense that it resulted in the lack of sleep
or other negative mental health outcomes. They expressed how having more education on both
the emotional symptoms and recovery of concussion would likely help lessen the feelings of
anxiety they experienced.
“Fear of not being able to play again.” The second theme to emerge under anxious
feeling was directly related to their sport. This was the only theme in which all ten athletes had
something to discuss regarding their fears around not being able to return to their sport for the
remainder of the season and two participants discussed not being able to play their sport again.
Eric was a senior when he sustained two concussions, with the second one occurring eight days
after he was cleared to return. He stated:
After that second one there was a lot more emotion and knowing that I wasn’t sure that
I’d play again like my senior year or more in terms of the concussion itself, but like
definitely felt more emotional after that second one…I guess I was just clouded by that
kind of thought like it was just at the end, you know. If I could have the opportunity to
like do what I wanted you know and sat on the bench for a couple of years and it’s finally
my turn and it’s just the fear of not being to play again.
26
Three athletes discussed their conversations with coaches and trainers about their ability
to return to sport. Aladdin sustained his concussion during his sophomore year and questioned if
he should red shirt his junior year in order to fully recover, but a position coach said that he
would “have to fight really hard” for his spot back, so ultimately decided not to sit out. Jasmine
had a different experience, and explained, “my assistant coach told me my health was more
important than the season and to take a break, but I was too anxious to take off the rest of the
season. I know we are bringing in a good freshman who also plays keeper and so I needed to
play as soon as I could.” Mulan feared that her captain status could be taken away if she stayed
out of the lineup for too long, “I knew I needed to come back, my team needed me whether my
head was ready or not!” Simba talked about his realization with concussions when it impacted
his playing time:
I felt fine. I was ready to go, and then (athletic trainer) told me I probably wasn’t going to
play. If I felt fine, but my scores on that test weren’t good enough, when was I going to
get to play? It didn’t seem fair. I also didn’t think concussions were a big deal until I
couldn’t play. It really just wasn’t fair that I missed two games for something I couldn’t
even feel… I was worried that I would be out even longer and there wasn’t nothing I
could do about it.
There was a general theme surrounding losing their position but also how their health
could impact their future and so the athletes were left in a place of dissonance between their
recovery and their future. The unknown aspect of when they could return seemed to lead to
anxiety, which often stirred feelings of anger or frustration.
27
Theme 2: Anger
“Frustration towards myself and irritability towards others.” Feelings of anger were
described mostly through frustration with self and others and irritability. Athletes discussed their
frustrations in explaining their symptoms and recovery to peers, professors, coaches, and
teammates. They felt like most of their support system generally wanted to help, but the athletes
did not know how to explain how they were feeling or what help they needed. This inability to
explain led to frustration and a halt to asking for help from others. Jasmine explains:
My friends would ask if I was okay, but I don’t think they really understood, you know? I
would say that I felt weird, cause I didn’t know how else to explain it, and they would
just nod. I kinda wanted them to stop asking… I felt frustrated because I know I needed
help. I would get irritated with little things, but just couldn’t explain it. So them asking to
help frustrated me, and then I got frustrated with myself and how I felt. It was like, never
ending.
Although concussions have received more attention in the last five years in terms of
medical advancements and the seriousness of the injury, some athletes still felt as if they had to
justify their injury to others which led to frustration. Eric states, “I’m not like limping around and
stuff and I’d say that was the hardest part, trying to get people to understand.” Cinderella had a
similar experience. Her concussion happened with such force that she was left with a visible
mark on her face:
It was swollen a little bit and there was a little bit of um bruising but I think the next day I
was kinda like happy. Kinda like showing off my war wound… once the bruising and the
28
swelling kinda went down, the way people usually view concussions kinda took over I
guess like people kinda forgot cause it wasn’t visible.
Belle also spoke about her frustrating encounters with teammates and other athletes who
did not seem to understand her recovery, “People are like, ‘oh, you’re just babying it.’ But they’ll
be like, ‘it’s been already so long,’ like, ‘you should be fine.” So I mean there was just a lot of
questioning, or and a lot of, you know, and, ‘you’re just trying to get out of it,’ and so that was
kind of hard to hear.”
Attempting to complete school work and explain to professors that they may need extra
time to for assignments and exams was another source of frustration for the athletes. Many
athletes talked about the difficulty balancing their recovery with keeping up with school
demands. Additionally, they spoke about the added obstacle of completing homework while
experiencing symptoms such as headache, dizziness, or nausea. Cinderella stated, “I was having
trouble just like reading a paragraph in a text book. I got really, like I said, angry, upset,
frustrated, irritated. I got really nervous like, if I can’t do this, then like what’s going to happen
to my school.” Similarly, Belle discussed her difficulties with school and how to navigate exams
period, “It was more difficult because I was entering exam period, so trying to get my professors
to understand the situation was frustrating.” When asked how this injury differed from other
injuries sustained in sport, Simba discussed his difficulty going to class based on his restriction:
[Team doctor] told me not to be in front of screens for at least 5 days. I was taking a
computer class. How was I supposed to do that? (Professor) said I could miss, but I don’t
think he believed me. They always think athletes are trying to get out of class for like this
thing or the other. But I couldn’t sit in front of a screen. So I couldn’t do the assignment
29
and missed class. It just isn’t like that with other injuries, you know? If my leg was broke
I could go to class.
Some athletes had experienced injuries previously in sport that kept them out of playing
or practicing with their team, but discussed how the concussion was different. It was explained
that the concussion was not only different in terms of recovery, but also in how others treated
them as their injuries were not visible. In the above quote Simba highlights the difference
between his concussion and if he had a musculoskeletal injury. Other injuries experienced by the
athletes were hip, knee, and back injuries and no athlete recalled being as frustrated or irritable
with those injuries.
All seven athletes who sustained more than one concussion in their college careers
discussed their anger with the injury itself. This led to anger over the recovery period, not being
able to play, and their future health problems. Naveen discussed his anger about sustaining his
second concussion of his career:
I knew as soon as stood up that I had a concussion. And all I could think was [expletive]
not again. I was mad that it was happening again. I was mad that I got hit from a helmet.
I was mad that he wasn’t ejected for hitting me. I was just mad. I stayed mad, too. I told
[head coach] as I walked off the field, ‘it’s a concussion. I won’t be back’ and didn’t even
bother with [athletic trainer].
His anger was related to the injury as well as knowing what the recovery process would
look like. He appeared to be agitated as he relived the experience and thinking about what it
meant moving forward. He was a sophomore, but discussed how taking time out of sport or
being labeled as “concussion prone” could impact his future playing time at his position. Mulan
mentioned that she “at least felt better prepared” for this concussion since she had one during her
senior year of high school, but also felt like this one was worse even though the hit seemed “way
30
less severe than the last time. That was annoying, if I’m going to get a concussion at least let it
happen on a big play.” Cinderella also mentioned her anger with sustaining another concussion,
particularly because this was her 4th concussion. She stated, “I was just really angry that I got a
concussion again…I think I was partially sad and angry about the fact that I probably won’t be
playing soccer for a very long time if ever again and I mean I’ve been playing soccer my entire
life.”
The second part of this theme that emerged under anger was the endorsement of feeling
irritable. Participants discussed being irritated by stimuli that normally would not have bothered
them as well as feeling a general sense of irritability. When asked where her irritability may have
stemmed from Belle said, “I think just not feeling

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Examining the Impact of a Short-Term Psychological Skills Training Program
on Dancers’ Coping Skills, Pain Appraisals, and Injuries
Leigh A. Bryant, MS, MA
Dissertation submitted to
the College of Physical Activity and Sport Sciences
at West Virginia University
in partial fulfillment of the requirements for the degree of
Doctorate of Philosophy in
Sport and Exercise Psychology
Damien Clement, PhD, ATC, Chair
Edward F. Etzel, EdD
Kelly Knox, MFA
Monica Leppma, PhD
Sam Zizzi, EdD
College of Physical Activity and Sport Sciences
Morgantown, West Virginia
2017
Keywords: intervention, injury, psychological skills training, dance, pain appraisal, coping
Copyright 2017 Leigh A. Bryant
ABSTRACT
Examining the Impact of a Short-Term Psychological Skills Training Program
on Dancers’ Coping Skills, Pain Appraisals, and Injuries
Leigh A. Bryant
Psychological skills interventions are often conducted with individual athletes and sports teams
in an effort to build mental toughness, prevent injury, or enhance performance. Dancers remain
an underserved population in the delivery of sport/performance psychology services, with
extremely limited literature addressing college dance students. The dance community has several
inherent physical and psychosocial demands, which can promote resilience. However, dancers
may also strive to meet these demands by employing unhealthy coping strategies that could be
linked to maladaptive appraisals and increased injury risk. The present study examined the
impact of a psychological skills intervention program on college dance students’ (N = 30) coping
skills, pain appraisals, and injuries over a six-week period. A two-group pre-test/post-test quasi
experimental methodology was used to capture the potential influence of the intervention
program. At the end of the six-week period, there were no significant differences observed
between the treatment and control groups on the three major constructs. In particular, the results
demonstrated the need for a single, operational definition of injury within the dance context. A
focus group discussion led to several recommendations for future research and improvements for
mental skills and life skills intervention programs. Best practices for scholars, applied
practitioners, and dance educators are also discussed.
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ACKNOWLEDGEMENTS
I would like to thank my Committee Chair, Dr. Damien Clement, for your thorough feedback
and encouragement throughout the dissertation process.
I would also like to thank the other members of my committee—Dr. Ed Etzel, Dr. Monica
Leppma, Professor Kelly Knox, and Dr. Sam Zizzi—for the time and energy that you put into
helping me complete this project.
A big “thanks” to all of the faculty, staff, and students in the Sport & Exercise Psychology and
Counseling programs at West Virginia University.
Another big “thanks” to the dancers who took part in this study, and the instructors and
administrators who supported their participation.
Special thanks to Alison Coates, Jana Fogaça, Stefanee Maurice, and Anna Onderik for your
interest in and contributions to this project.
Finally, thank you to my parents—Neil and Jennifer Bryant—and to my husband—Kurt
Skvarla—for your love and support.
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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TABLE OF CONTENTS
Page
Introduction …………………………………………………………...……………….……….. 1
Methodology ………………………………………………………………...……………......... 8
Research Design ………………………………………………………...……….……... 8
Participants ………………………………………………………...……………..…...... 8
Dance Program Characteristics and Setting ……………………………………...…….. 9
Instrumentation …………………………………………………….……………...…... 12
Basic Demographics Survey …...………………………….…………………….…...... 12
Athletic Coping Skills Inventory-28 ……………………….…………...…….….…..... 12
Pain Appraisal Inventory .……...………………………….………………....……....... 15
Injury Tracking Survey ……………………………………………………...……..….. 17
Dance Experiences Survey ……………………………………………..….………….. 18
Intervention Program …………………………………………………..…….………... 19
Adherence Journal ……………………………………………………..….………...… 21
Procedure …………………………………………………….……………..…………. 21
Data Analyses ……………………………….…………………………..…………...... 25
Results …………………………………………………….……………………..…………..... 27
Descriptive Statistics ………………………………….……………………..……...… 27
Quantitative Results ..……………………………………………………..………..…. 28
Qualitative Results ……...…………………………………………….…..…...……… 29
Exploratory Findings ….…………………………………………………..………..… 33
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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Discussion ……………………………………………………………………….……..……... 36
Limitations ……………………………………………………………….…….…..…. 53
Future Recommendations …………………………………………….….…...….…… 57
Implications for Practice ……………………………………………………….…..… 62
Concluding Thoughts ……………………..……………………………….……….… 66
References ……………………………………………………………………….………..….. 67
Tables ………………………………………………………………………………....……… 77
Appendices ……….………………………………………………………………….....…...... 88
Appendix A: Extended Review of Literature ….……………………………….…….. 88
Appendix B: Basic Demographics Survey ………………………………………...…138
Appendix C: Athletic Coping Skills Inventory-28 ………………………………….. 141
Appendix D: Pain Appraisal Inventory …………………………………...…..…….. 144
Appendix E: Injury Tracking Survey………………………………………….…….. 146
Appendix F: Dance Experiences Survey …………………………………....………. 149
Appendix G: Intervention Protocol Outline ……………………………...…………. 155
Appendix H: Intervention Program Exercises and Activities …………..……...…… 157
Appendix I: Adherence Journal …………………………………………………….. 167
Appendix J: Participant Contact Information Form………...………………..…...… 168
Appendix K: Semi-Structured Interview Guide for Focus Group Discussion ….….. 169
Appendix L: Stakeholder Interview Findings …………………………………..….. 170
Appendix M: Sample Self-Talk Statements and Associated Bible Verses ……..….. 173
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Introduction
Dancers are considered to be both artists and athletes, given the rigor of their physical
training, the necessity of self-expression, and the emphasis on the mind-body connection (Dick
et al., 2013). A dancer’s body is trained to move in complex, highly-technical ways and to stand
in atypical positions (e.g., on the tips of one’s toes). For this reason, dancers often have time
limited careers, with very few individuals performing beyond their thirties (Kelman, 2000;
Turner & Wainwright, 2003; Watson, 2013). Additionally, the path to artistic perfection is a
never-ending process, because one’s performance cannot be objectively measured by a judge or
audience member (Dick et al., 2013; Estanol, Shepherd, & MacDonald, 2013). Many dancers
spend the entirety of their careers making technical and aesthetic improvements. They strive to
maintain a slim and athletic physique, endure long rehearsal hours, and execute advanced
technical requirements (Grove, Main, & Sharp, 2013; Hamilton & Robson, 2006; Shah, 2008).
With no final score to use as a measure of success, dancers often need to engage in self-reflection
to assess their strengths and areas for growth.
As Kelman (2000) has stated, “dancers must be physically strong and have a high
tolerance for pain. The performing artist’s instrument is their body” (p. 431). The mentality of
“no pain, no gain” that is often used to characterize an intense sport climate may also be an
appropriate description of a passionate dancer’s assessment of pain or injury (Anderson &
Hanrahan, 2008). When adopted and reinforced, this “push through it” mindset can be one that is
self-motivating and temporarily adaptive. Nevertheless, it is also possible that this mindset can
contribute to injury risk if the pain is not properly identified and addressed (Anderson &
Hanrahan, 2008; Rip, Fortin, & Vallerand, 2006). In other words, dancers who conceal or ignore
physical pain in order to keep training and performing (Krasnow, 2005; Noh & Morris, 2004)
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may be doing more damage to their body, and negatively influencing the environment in which
they want to thrive (Anderson & Hanrahan, 2008).
The physical demands and the socio-cultural climate of many schools and studios (Dick
et al., 2013; Grove, Main, & Sharp, 2013) may lead dancers to a metaphorical tipping point. In
some cases, dancers demonstrate resilience in the face of such pressures and engage in strategies
that can enhance performance and well-being (e.g., Rivers, 2014). However, a lack of coping
skills can lead to disruptions in dancers’ ambitions, or the adoption of destructive behaviors
(Kelman, 2000; van Staden, Myburgh, & Poggenpoel, 2009). For instance, obsessive passion can
lead to inattentiveness to pain and injury (Rip, Fortin, & Vallerand, 2006). Similarly, low levels
of self-awareness about how to properly manage pain or recognize injuries that require medical
attention might put dancers’ short- and long-term health at risk (Nordin-Bates et al., 2011).
Therefore, it is critical to understand dancers’ appraisals of pain, how these appraisals
relate to the desire to keep improving, and what factors influence dancers who engage in positive
or adaptive coping strategies, such as those that might be introduced in a prevention or
intervention program. As stated by Noh, Morris, and Andersen (2007), “the focus on enhancing
coping skills…[may] help dancers cope more effectively with the demands of the dance
environment and reduce injury incidence” (p. 28). To date, very little research has examined the
delivery of psychological skills training programs to dancers (Noh, Morris, & Andersen, 2007).
Historically, these programs have focused on repairing—rather than preventing—dysfunctional
coping strategies, unhelpful cognitive habits, and injuries (Hays, 2002).
The literature shows that in an eight-month period, up to 97% of university dance majors
may experience an injury (Kerr, Krasnow, & Mainwaring, 1992). Other researchers have also
reported high rates of injury, with one sample of pre-professional dancers sustaining an average
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of 1.42 injuries per dancer over the course of a year (Ekegren et al., 2013). Dancers deal with
both acute and chronic injuries such as ankle sprains, anterior cruciate ligament tears, tendonitis,
and stress fractures (Bauman, Gallagher, & Hamilton, 1996; Dick et al., 2013). As such, they are
likely to cope with injury related pain in addition to generalized pain that may stem from training
and performing.
Sustaining an injury may have several consequences for a dancer (Mainwaring, Krasnow,
& Kerr, 2001). More specifically, being injured may necessitate taking time off from dancing,
which may equate to missed opportunities to advance one’s development. Dancers who have a
strong athletic identity (Brewer, Van Raalte, & Linder, 1993) and/or contingent self-worth (Hall
& Hill, 2012) may experience decreases in self-esteem should they become injured or have to
manage chronic pain. Moreover, for dancers who are employed or seeking employment, the
inability to work can result in financial strain (Kelman, 2000; Wainwright, Williams, & Turner,
2005). Financial pressures could lead to additional stress, and possibly the need to pursue a
different career.
These potential consequences may serve as motivation for dancers to keep injuries
hidden. Dancers may self-medicate in an effort to treat or cover-up injuries and/or pain without
interfering with regular training and performances (e.g., Wozny, 2016). While researchers have
noted that some dancers do inform a teacher or director that something is bothering them, they
will nevertheless continue to dance (Nordin-Bates et al., 2011). Nordin-Bates and colleagues
(2011) have further suggested that dancers may view rest as a form of “non-constructive
passivity” that could have consequences for their fitness, technical training, and/or status, as
previously described (p. 82). Therefore, although missteps or improper technique can lead to
physical injury in dance, sometimes injuries may occur due to one or more psychological and/or
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psychosocial factors (e.g., Noh & Morris, 2004; Noh, Morris, & Andersen, 2005; Nordin-Bates,
Quested, Walker, & Redding, 2012; Smith, Ptacek, & Patterson, 2000).
Coping skills, pain appraisals, and injury status may be important to a dancer’s mental
well-being and performance-related outcomes. To characterize dancers’ perceived stressors,
Noh, Morris, and Andersen (2002) conducted a qualitative investigation with a sample of
professional ballet dancers. The researchers found that fear of injury, dance directors’ criticism,
and competition for roles were prevalent. Additionally, over 60% of the dancers in their sample
reported engaging in dysfunctional coping behaviors (e.g., drinking alcohol) as a means of
dealing with perceived stress. Consistent with literature focused on stress and coping, researchers
have identified several factors that may make individuals more susceptible to injury in a stressful
situation. These factors include low levels of coping skills, high state-trait anxiety, and a history
of several negative life events (e.g., Yatabe et al., 2014).
Consequently, it is important for dancers, and those who work with them, to be equipped
with accurate, evidence-based knowledge about healthy coping skills, adaptive pain appraisals,
and injury risk. Andersen and Williams (1988) have developed and revised a model that explores
the relationship between stress and injury in sport (Williams & Andersen, 1998). The model
emphasizes personality, coping skills, and history of stressors as antecedents to injury risk
(Andersen & Williams, 1988; Noh, Morris, & Andersen, 2005). Researchers have previously
used this model with dancers to target coping skills as a protective factor for injury (e.g., Noh,
Morris, & Andersen, 2007).
In the present study, Williams and Andersen’s model (1998) was used as a lens through
which to view the role of interventions focused on coping skills, cognitive appraisals of pain, and
injury risk in a collegiate environment. In particular, the impact that intervention content may
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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have on cognitive appraisal was of interest to the primary researcher. While the model is often
said to be linked to acute injury prediction, it was used in the present study to understand the
relationship between intervention programming and cognitive appraisal of situations that could
lead to or include dance-related pain and/or injury.
The model also highlights the potentially meaningful role of coping skills when
managing perceived stress. Thus, learning skills to identify and manage stress has implications
not only for dancers’ performance-related outcomes, but also for their other life pursuits. A life
skills approach to the intervention content may help dancers to better recognize the applicability
of psychological skills training to their academics, social situations, and/or personal development
(e.g., Danish, Petitpas, & Hale, 1993). Accordingly, the primary researcher developed and
selected instruments and program content tailored to a dance population, and, more specifically,
for university-level dance students. The psychological skills training program was ultimately
aimed at dancers’ coping skills, appraisals of physical pain, and self-reported injuries over a six
week time frame.
The present study sought to contribute to the current applied research literature in the
field of sport/performance psychology. Noh and Morris (2004) previously used Williams and
Andersen’s (1998) model to design injury prevention programs with a sample of Korean dancers
(N = 105). The authors examined the predictive power of coping skills, stress, social support, and
anxiety on injury frequency and duration, further testing the veracity of the stress-injury model to
the dance population. Building on this work, Noh, Morris, and Andersen (2007) published the
findings of two intervention programs used with a sample of dancers (N = 35) for the purpose of
injury prevention across a 24-week period. The first 12 weeks of the intervention program
consisted of the delivery of coping skills content, and the subsequent 12 weeks were used to
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collect follow-up data as dancers practiced these skills. Their results suggested that teaching
broad-based coping skills could in fact influence the duration of dancers’ injuries. Noh and
colleagues (2007) reported that dancers who were assigned to a treatment group spent less time
injured than dancers who were assigned to a control group.
While some research focused on coping skills and injury has been conducted within the
dance population, the current literature contains few intervention programs delivered to dancers
in a group context. Consequently, the present study’s methodology is rooted in literature from
psychology, counseling, and family systems, which all, to some extent, utilize group sessions,
cognitive-behavioral approaches, and brief interventions. Researchers have suggested that, in just
a few sessions, individuals have the capacity to learn new material and make long-term
behavioral changes (e.g., Bell, Skinner, & Fisher, 2009; Meichenbaum, 1993). In this way, the
present study allowed dancers to learn and then apply psychological skills into their training and
performances.
It was hoped that these skills and strategies might positively influence dancers’ stress
management and injury susceptibility, and also translate to other life pursuits such as social
situations or academics. Hamilton and Robson (2006) have stated that consultants who work
with performing artists have the opportunity to teach “constructive strategies that enhance
performance” while helping dancers to recognize and change self-destructive behaviors or
coping methods (p. 257). The constructive strategies that they discussed included diaphragmatic
breathing, relaxation exercises, positive self-talk, and imagery (Hamilton & Robson, 2006).
These strategies have previously been taught to non-elite and collegiate athletes across a
variety of sports, including gymnastics and rowing. For instance, over the course of a
competition season, Kerr and Goss (1996) conducted individualized sessions with young adult
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gymnasts (N = 24) that focused on thought control, imagery, and self-talk. While no statistically
significant findings were reported, the researchers found that the gymnasts who had participated
in the intervention program had lower levels of negative athletic stress at the end of the season.
Furthermore, Perna, Antoni, Baum, Gordon, and Schneiderman (2003) conducted a three
week intervention program that focused on stress management for college rowers (N = 34). Two
practitioners taught athletes assigned to a treatment group a variety of skills for performance
enhancement and personal development. These skills included deep breathing, progressive
muscle relaxation, and imagery. At the conclusion of the intervention program, the researchers
found that athletes who had been assigned to the treatment group had fewer reported injuries and
illnesses compared to the athletes who were assigned to a control group. The results of these
studies, in combination with their limitations and future recommendations, suggest that
interventions focused on psychological skills and life skills development can have an important
impact on young adult athletes with respect to performance and overall well-being.
Therefore, the purpose of the present study was to examine the impact of a short-term
psychological skills training program on college dancers’ self-reported coping skills, pain
appraisal, and injuries. This psychological skills training program was rooted in the stress
management and performance enhancement literature, and adopted a cognitive-behavioral
approach. In accordance with the study’s purpose, the four main research questions were: (1) Is
there a difference in self-reported coping skills between dancers who participate in the
intervention program and those who do not? (2) Is there a difference in self-reported pain
appraisals between dancers who participate in the intervention program and those who do not?
(3) Is the rate and severity of injuries affected by the intervention program? (4) What are the
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dancers’ reactions to this intervention program, and, more specifically, what aspects of the
program were useful and not useful, and why?
Methodology
Research Design
The present study utilized a two-group pre-test/post-test quasi-experimental design (Gay
& Airasian, 2003). Participants were assigned to a condition, as a group, based on the dance
course in which they were enrolled for the spring 2016 semester. One class was assigned to be
the treatment group; this group completed study-related instruments and received a short-term
psychological skills intervention program on a weekly basis. The other class was assigned to be
the control group; this group also completed study-related instruments without participating in
the intervention program. This type of research design is commonly utilized in educational
settings, where purely random assignment of participants to groups is not feasible or practical
(Gay & Airasian, 2003). The treatment group participants were currently enrolled in a modern
dance course, and the control group participants were currently taking a dance conditioning
course. These classes were part of the dance program curriculum and led by full-time faculty
members at the institution.
Participants
Participants were male (n = 4) and female (n = 26) dance students (N = 30) studying at
the same institution in the Mid-Atlantic region of the United States. Students were encouraged to
participate by their instructors, but ultimately the decision to participate was their own. One
student was deemed ineligible to participate due to age (less than 18 years), and one student in
the control group asked to be removed from the study.
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Participants’ ages ranged from 18 to 22 years (M = 19.77, SD = 1.45). On average,
dancers reported a range of 3 to 19 years of dance training (M = 13.30, SD = 4.50). Participants
represented all four class years, namely freshman or first year (n = 13), sophomore (n = 2), junior
(n = 12), and senior (n = 3). Prior to their participation in this study, few dance students had
experience working with a sport psychology consultant (n = 3). The remaining students (n = 27)
indicated no prior experience with a sport psychology consultant in an individual or group
setting. At the start of the study (i.e., during the first week), almost half of the participants (n =
13) indicated that they were currently suffering from one or more injuries; four injured dancers
were in the control group, and the other nine were in the treatment group.
On average, dancers in the treatment group were 2.4 years older than dancers in the
control group. Dancers in the control group were slightly younger (Mage = 18.60, SD = 0.91) than
dancers in the treatment group (Mage = 20.93, SD = 0.80). Members of the control group reported
a range of 14 to 25 hours of dance training per week. Members of the treatment group reported a
range of 11 to 28 hours of dance training (see Table 1 for basic demographic information).
The sampling procedure used in this study was both convenient and purposive (Patton,
2002). An appropriate sample size was determined prior to the start of the study. A sample of 28
participants was deemed suitable by the primary researcher in consultation with a statistician and
G*power software (Faul, Erdfelder, Lang, & Buchner, 2007) by adopting a moderate effect size
of 0.56 (Cohen, 1988) with a desired power of 0.80.
Dance Program Characteristics and Setting
Based on self-reported data from the participants, their dance program was somewhat
rigorous, requiring a number of hours of class, rehearsal, and/or performance that is comparable
to the 20 countable hours put forth by the National Collegiate Athletic Association (NCAA) for
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college student-athletes. Of the 30 participants, 29 reported that they had to audition in order to
be admitted into the program. When asked to describe the technical focus of their program, 77%
of dancers (n = 23) described their program as ballet-based, and the other 23% of dancers (n = 7)
described the program as either mixed-repertoire or consisting of more than one technical
discipline (e.g., ballet, modern). Dance majors at this liberal arts institution could receive either a
Bachelor of Arts degree in Dance or a Bachelor of Fine Arts degree in Dance, with the latter
degree traditionally requiring additional studio work to prepare students for a professional career
in the dance industry.
The program is housed in an on-campus building, which consists of several dance studio
spaces, dressing rooms, and faculty/staff offices. There were pianos in the studios for times when
live accompaniment was offered for class. The studios were well-lit, clean, and had flooring that
was appropriate for dance conditioning and performance. Outside of the studios, there was a
lounge where dancers could stretch, eat, socialize, use their phones or iPods, and complete
written homework between classes. Based on the primary researcher’s observations, this lounge
area encouraged a sense of “community,” such that multiple conversations could be held at once,
and people would make the space their own by spreading out textbooks, lunch boxes, or their
own bodies when they needed to recover from or prepare for a technique class. The lounge area
also housed resources for students, such as exercise DVDs, stretching equipment, and dance
program photo albums.
When the primary researcher arrived to the site each week to meet with the dancers in the
treatment group, the lounge area served as the “home base” for the project. It was here that
dancers could seek out the primary researcher for questions and concerns. One dancer used this
space for a few brief individual consultations with the primary researcher about managing stress
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and expectations. Another dancer approached the researcher in the studio space to inquire about
an approach to stress management that a family member had utilized. A third dancer asked the
researcher for more information on health/wellness careers such as performance psychology, and
the researcher shared resources in a brief in-person meeting and via email correspondence. It
should be noted that many dancers in the treatment and control groups acknowledged the
primary researcher’s (and research assistant’s) presence in the lounge, but very few asked for
advice or consultation over the six-week period, particularly when in the presence of other dance
students.
The primary researcher and research assistant observed that classes seemed to
consistently begin a few minutes late, either due to students still transitioning from a previous
class, or the faculty member needing to take a few minutes to switch focus from a meeting and/or
to finalize content. The most commonly observed dance class was the one that the treatment
group participants were taking (i.e., modern dance). This class was fairly structured, and it was
clear from observing that the students were accustomed to this structure. Sometimes the students
faced the front of the studio so that they could pay attention to the instructor and/or see
themselves reflected in the wall-length mirror. Other times they faced different directions for
individual or small group exercises, or stood in a circle to do community-focused dance work.
Despite the program having an emphasis on classical ballet technique, dancers did not
look uniform in appearance and dress code. The dance students represented many body types and
wore a range of dancewear, including leotards, tights, sauna pants, t-shirts, sweat pants, and
leggings. Women’s hair was typically pulled back in a loose or tight bun or ponytail. Both the
primary researcher and research assistant noted the presence of coffee, tea, and water bottles
placed around the borders of the dance studio, which dancers would visit during short breaks.
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Although a somewhat casual tone was established, there were clear classroom norms as well. For
instance, dancers would never re-enter a studio space during an exercise or dance number. They
would wait until the music stopped and a combination or section of dancing was complete.
Additionally, dancers clapped for the pianist at the end of each class. They also thanked any
person of authority, including the primary researcher and research assistant, before leaving.
Instrumentation
Basic demographics survey. The primary researcher developed a basic demographics
survey specifically for this study in an effort to contextualize the sample (see Appendix B).
Survey items included participants’ age, gender, year in school, total number of years dancing,
total number of hours dancing per week, and current injury status. The demographics survey also
asked participants to rate their level of familiarity with the skills to be introduced during the
intervention program (i.e., diaphragmatic breathing, progressive muscle relaxation, imagery,
self-talk, and mindfulness). Information gathered via this instrument was intended to help
describe the sample’s characteristics, rather than to answer a particular research question.
Athletic Coping Skills Inventory-28. The Athletic Coping Skills Inventory-28 (ACSI
28; Smith, Schutz, Smoll, & Ptacek, 1995) is a multi-dimensional measure of self-reported
psychological skills utilized in sport (see Appendix C). Seven sport-specific subscales make up
the full measure, each subscale having four items answered on a 4-point Likert scale from 0
(almost never) to 3 (almost always). A total score, combining all 28 items, is used to assess
overall coping skills, with a possible range of 0 to 84. The primary researcher chose to use this
survey due to its multi-dimensional measure and the fact that it had previously been used with a
dance population.
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Researchers Estanol, Shepherd, and MacDonald (2013) have previously reported a mean
total score of 49.34 and a standard deviation of 10.14 on the ACSI-28 for their sample of dancers
(N = 205). Their sample consisted of collegiate-level ballet and modern dancers, professional
dancers, and contemporary dancers. The researchers’ descriptives are comparable to the present
study’s sample for both week one (M = 48.83, SD = 9.79) and week six (M = 48.72, SD = 10.66).
The reliability and validity of the ACSI-28 has been tested with multiple samples and has
been used to study coping skills and behaviors in the sport context (e.g., Mummery, Schofield, &
Perry, 2004; Omar-Fauzee, Daud, Abdullah, & Rashid, 2009; Smith et al., 1995). Researchers
have indicated questionable to acceptable reliability for the concentration subscale, with a
Cronbach’s alpha of 0.62, and good reliability for the peaking under pressure subscale, with a
Cronbach’s alpha of 0.78. These statistics represent the lowest and highest measures of internal
consistency across all subscales of the instrument (Noh, Morris, & Andersen, 2007; Smith et al.,
1995). Additionally, researchers reported that one-week test-retest coefficients from a sample of
90 college students and athletes had a median of 0.82 (Noh, Morris, & Andersen, 2007; Smith et
al., 1995).
In the present study, the primary researcher examined five-week test-retest reliability of
the ACSI-28. The correlation between ACSI-28 total scores collected during the first and sixth
weeks of the study was strong, r = 0.756, p = 0.000. Additionally, the primary researcher
observed the relationship between pre- and post-intervention total scores on this instrument by
group condition. There was a strong relationship between pre- and post-intervention ACSI-28
total scores for the treatment group, r = 0.870, p = 0.000. There was also a statistically
significant correlation between these scores for the control group, r = 0.555, p = 0.039. These
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correlations are relatively consistent with the reliability statistics reported by the instrument’s
developers (Smith, Schutz, Smoll, & Ptacek, 1995).
As for convergent and discriminant validity, the developers reported moderate
correlations between the ACSI-28 and other similar instruments. These instruments included the
Self-Control Schedule (Rosenbaum, 1980) (r = 0.44), Sport Anxiety Scale (Smith, Smoll, &
Schutz, 1990) (r = -.43), and Self-Efficacy Scale (Coppel, 1980) (r = 0.58). In contrast to other
coping questionnaires that are non-specific to sport (e.g., COPE; Carver, Scheier, & Weintraub,
1989), the ACSI-28 was developed specifically for use with athletes. However, it should be
noted that the instrument is not grounded in one or more theories of stress and coping (Croker,
Kowalski, & Graham, 1998), but may be considered as having originated from a cognitive
behavioral approach (Estanol, Shepherd, & MacDonald, 2013).
For the purpose of this study, some of the items were modified to reflect a dance-specific
context. The words “coach” or “manager” were replaced with “instructor” or “choreographer.”
Similar changes have been made to the ACSI-28 by others in their research with dancers (e.g.,
Estanol, Shepherd, & MacDonald, 2013; Noh, Morris, & Andersen, 2007). Estanol and
colleagues (2013) reported a Cronbach’s alpha of 0.84 for the ACSI-28 when modified and used
with their sample. Noh and colleagues (2007) reported slightly lower reliability with these
modifications. However, the ACSI-28 had been translated into Korean, and so the translation
could also have influenced their reliability estimates.
In the present study, a Cronbach’s alpha of 0.727 was observed for week one across 30
participants, and a Cronbach’s alpha of 0.741 was observed for week six across 29 participants.
As for the subscales, internal consistency coefficients ranged from a low of 0.508 for the
confidence and achievement motivation subscale, to a high of 0.861 for the peaking under
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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pressure subscale (see Table 2 for internal consistency at week one compared to the developers’
alphas). These numbers are fairly consistent with the findings of Estanol, Shepherd, and
MacDonald (2013). They reported low internal consistency for one subscale (i.e., coachability),
with all other subscales having a Cronbach’s alpha greater than 0.65. This was also the case in
the present study, although the subscale below this 0.65 cut-off point was confidence and
achievement motivation, instead of coachability.
Pain Appraisal Inventory. The Pain Appraisal Inventory (PAI; Unruh & Ritchie, 1998)
is a self-report instrument comprised of 16 items that quantifies and classifies individuals’ beliefs
about physical pain. The PAI also helps to evaluate what respondents think about their pain, and
how these thoughts make them feel (see Appendix D). Based on literature in stress and coping
research, the developers of the PAI included two scales within this instrument: threat appraisal
and challenge appraisal. Threat was defined as “anticipated or actual physical or psychological
harm, loss, injury or damage associated with a pain event,” while challenge was defined as “a
test of strength, endurance or abilities, with the potential for growth, mastery or gain associated
with a pain event” (Unruh & Ritchie, 1998, p. 106). One might expect these two subscales to be
negatively related. However, researcher Anderson and Hanrahan (2008) reported the relationship
between threat and challenge to be weak to moderate (r = 0.41) in a sample of dancers (N = 51)
who represented a variety of styles and training levels.
Each subscale contains eight items that are scored on a six-point Likert scale from 1
(strongly disagree) to 6 (strongly agree). A total composite score for pain appraisal can be
calculated by summing the 16 items, with a possible range of 16 to 96. The sum of each subscale
can also be calculated, with a possible range of 8 to 48. However, it should be noted that the
developers stated that they initially considered a rating of “3” or higher to indicate an appraisal
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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of pain (Unruh & Ritchie, 1998), and so the total scores and possible ranges for this instrument
and its subscales may be highly dependent on the severity and duration of pain that participants
are experiencing when this survey is administered.
Previously, Anderson and Hanrahan (2008) have reported a range of 8 to 43 for the threat
subscale, and a range of 8 to 41 for the challenge subscale. No total scale psychometrics were
reported in their study. Compared to Anderson and Hanrahan’s (2008) sample, the present
study’s participants reported a similar range of scores on the PAI subscales. The threat subscale
had a range of 8 to 37 for week one (M = 18.31, SD = 9.35) and a range of 8 to 32 for week six
(M = 18.68, SD = 7.94). Similarly, the challenge subscale had a range of 8 to 42 for week one (M
= 20.62, SD = 10.27) and a range of 8 to 43 for week six (M = 21.03, SD = 9.52).
The instruments’ developers reported evidence of good validity and reliability.
Concurrent criterion validity was determined by comparing the PAI’s properties to other pain
instruments, including the McGill Pain Questionnaire (MPQ; Melzachk, 1987) and the Pain
Disability Index (PDI; Tait, Chibnall, & Krause, 1990). Using data collected from a sample (N =
46) of college students, health professionals, and community members, the developers reported
that the threat subscale yielded a Cronbach’s alpha of 0.86 and the challenge subscale yielded a
Cronbach’s alpha of 0.81. In the present study, internal consistency was also strong. Cronbach’s
alpha for the PAI at week one was 0.881. At week six, Cronbach’s alpha was 0.886. When
observing the two subscales separately, the threat subscale had a Cronbach’s alpha of 0.914, and
the challenge subscale had a Cronbach’s alpha of 0.904.
The developers of the PAI have discussed some of the instruments’ limitations. Among
these limitations is the unexplored relationship between appraisals, and chronic versus acute
pain; the developers have suggested that differences in type of pain and their direct or indirect
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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effects on appraisal is unknown. The instrument’s developers have also reported a lack of test
retest reliability. Given this fact, the primary researcher in the present study decided to run
correlations on the PAI total scores as well as both subscales across all participants. The
correlation coefficient for the PAI total scores was moderate, r = 0.399, p = 0.035. When
observing PAI threat subscale scores, no meaningful relationship was observed between the first
and second set of scores, r = 0.111, p = 0.575. In contrast, the PAI challenge subscale scores
were strongly correlated, r = 0.527, p = 0.004 (see Table 3).
When examining test-retest reliability by group condition, there were slightly different
findings. The relationship between pre- and post-intervention PAI total scores in the control
group was weak, r = 0.229, p = 0.430. The threat subscale showed no relationship, r = -0.196, p
= 0.502, and the challenge subscale showed a moderate relationship, r = 0.497, p = 0.071 (see
Table 4). In contrast, the pre- and post-intervention PAI total scores for the treatment group
showed a strong relationship, r = 0.702, p = 0.005. The threat subscale data showed a weak
relationship, r = 0.336, p = 0.240, and the challenge subscale data showed a moderate
relationship, r = 0.664, p = 0.010 (see Table 5).
Injury tracking survey. The primary researcher developed an injury tracking survey
specifically for this study (see Appendix E). The content of this survey was inspired by several
sources, including an injury tracking form developed by members of the Dance/USA Task Force
on Dancer Health, and researchers Noh, Morris, and Andersen (2007). Previous research
suggests that “dancers may under report injuries on surveys,” and, therefore, multiple questions
about injury were presented (Thomas & Tarr, 2009, p. 51). Dancers were asked to report their
current injury status; where their injury or injuries occurred on the body; if the injury or injuries
caused them to miss or modify any training, rehearsals, or performances; whether they sought
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
BRYANT 18
medical attention; and the presence and severity of pain they may have experienced. Participants
in the present study were incentivized to submit their injury reports every week throughout the
study in order to be eligible to receive a $100 Visa gift card via a raffle system.
The National Collegiate Athletic Association (NCAA) has defined a physical injury by
focusing on three specific criteria. First, the injury must occur within the training or competition
setting, and not in a different environment. Second, the injury must require the attention of an
athletic trainer or physician affiliated with the particular group/team. Third and finally, the injury
must restrict or prevent the athlete’s participation in sport for at least one day subsequent to the
day in which the injury occurred (Dick, Agel, & Marshall, 2007). Due to the fact that dancers
may be inclined to keep their injuries hidden, the primary researcher adopted a modified version
of the NCAA’s third criterion. Specifically, any self-reported time lost was considered an
instance of injury, rather than having dancers wait until the following day to “start the clock” on
minutes or hours of dancing missed.
Dance Experiences Survey. The Dance Experiences Survey (Krasnow & Mainwaring,
1990) was used in the present study to capture stressors that individuals may experience as a
result of their role as dancers (see Appendix F). The instrument consists of 48 items, and asks
participants to use “Yes” or “No” to indicate if each item applies to them at the present time. For
those items that do apply, participants indicate the impact that these stressors have on them from -3 (extremely negative) to +3 (extremely positive). The instrument begins with an example so that
participants are clear on the instructions and the format of the survey. At the end of the 48 items,
participants are provided space to write-in any other stressors that they are experiencing, and to
report the perceived impact of these stressors. The developers did not provide psychometric data
via personal correspondence with the primary researcher, and there is a lack of psychometric
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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data available in the literature that uses this survey. As such, the information gathered via this
instrument was intended only to describe the sample.
Intervention program. The short-term psychological skills intervention program
consisted of six sessions, with one session being conducted each week for the treatment group.
This six-week time frame was determined through a search of the literature focused on short
term behavior change and psychological skills interventions in sport (e.g., Bell, Skinner, &
Fisher, 2009; Johnson, 2000; Meichenbaum, 1993). The primary researcher developed the
intervention program content in collaboration with other sport psychology and counseling
professionals, and from the content presented in the existing research literature. Face and content
validity was confirmed by meeting with a licensed counselor and counselor educator to review
all materials (see Appendix G for an overview of the intervention program protocol).
Additionally, pilot testing was completed on all activities and handouts with two
volunteer undergraduate students who reported a background in dance. During pilot testing, these
two students provided verbal and written feedback about the aspects of the program’s content
that they liked and did not like, and what they thought could be improved upon before its
delivery to treatment group participants. The primary researcher compiled this feedback in
written format and used it as a guideline for finalizing all intervention program materials. The
primary researcher also asked these two students to complete all self-report surveys so that an
estimated time period could be established for the data collection packets to be administered
during the first and sixth weeks of the study.
All sessions followed a similar outline, with exception of the first and last, which focused
on data collection procedures. For the second through fifth weeks, the primary researcher’s
routine for each session consisted of: (1) having the participants review what they had learned or
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
BRYANT 20
practiced in the previous week, (2) introducing the new skill to be learned or practiced, and then
(3) providing an experiential learning activity focused on the week’s topic. After each skill was
introduced and practiced, participants reflected on their experiences. For instance, participants
were encouraged to pose questions or concerns about the topic or activity and to share their
thoughts on how to use the skills(s) in dance class or other life pursuits.
The first skills introduced were diaphragmatic breathing and progressive muscle
relaxation. Participants were led through a deep breathing script and then through a progressive
muscle relaxation exercise (in either an active or passive manner). The next skill introduced was
imagery. Participants were led through a relaxation and coping imagery script based on Jon
Kabat Zinn’s Mountain Meditation, and also led through a performance imagery script intended
to help them prepare for dance class. The fourth week’s focus was on cognitive reframing and
self-talk. Participants were given a handout that contained many negative, maladaptive, or
irrational statements related to dancing. In small groups, they came up with more positive,
adaptive, and truthful statements to use when they are dancing. The final skill introduced was
mindfulness. Participants were led through a mindfulness-based stress management script that
asked them to focus on their breath, a small item in their hand (a rock, provided by the primary
researcher), and the present moment (see Appendix H for all of the exercises and activities used
in the intervention program).
Throughout the intervention program, the dancers’ class instructor remained present in
the dance studio for all discussion, exercises, and activities. The instructor did not observe the
sessions, but rather participated in the same way as the treatment group participants. However,
the instructor did not participate in any data collection procedures during weeks one and six, and
did not take part in the post-intervention focus group discussion.
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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For each week of the intervention program, the primary researcher sent the course
instructor the written scripts used for each session, as well as audio-recordings of the respective
exercises or activities. The instructor offered to post these files in an online portal, to which the
treatment group participants had access throughout the semester. Audio-files were created via
QuickTime software and could be downloaded and listened to with an iTunes account.
Adherence journal. A weekly adherence journal was developed by the primary
researcher and loosely based on the journal that Noh, Morris, and Andersen (2007) used in their
study with Korean dancers (see Appendix I). Participants received a link to a secure, online
survey so that they could complete the items on their own time following weeks two through five
of the program (i.e., dance students were asked to submit an adherence report four times
throughout the study). The survey asked participants to indicate which skill(s) they were
practicing, and for what amount of time they were practicing them. Participants were also
prompted to rate their efforts to practice the skill(s) on a 4-point Likert scale from 1 (no effort) to
4 (excellent effort). This particular item was intended to capture their perceived level of
investment in the program. Findings from this instrument are reported as exploratory analyses
following the results of the main research questions.
Procedure
The primary researcher contacted several dance program chairpersons in the Mid-Atlantic
region of the United States by email. The email to these chairpersons contained a brief proposal
of the research study and its anticipated timeline. Once a dance professor expressed interest in
the study, a phone call was scheduled to talk to this professor one-on-one to further explore
his/her interest. Then, the primary researcher and the interested professor assessed the feasibility
of recruiting another professor from the same department who might also be interested in the
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
BRYANT 22
study. Once this second person was identified, the two professors and the primary researcher
developed a schedule that worked for all parties involved.
The primary researcher obtained Institutional Review Board (IRB) approval from the
primary institution and completed supplemental documents for the approval of the institution at
which data collection procedures occurred. These latter documents included an IRB
Authorization Agreement and letters of permission from each classroom instructor. The research
team—which consisted of the primary researcher, an advisor, and two research assistants—then
finalized all instrumentation and the intervention program content.
For six consecutive weeks, the primary researcher traveled from her primary institution to
the data collection site. During weeks one and six, data collection was the main focus. At the
start of the first week, the primary researcher briefly explained the research design to all
participants so that they understood how group assignments were made. Participants completed
the Athletic Coping Skills Inventory (ACSI-28; Smith, Schutz, Smoll, & Ptacek, 1995), the Pain
Appraisal Inventory (PAI; Unruh & Ritchie, 1998), and an injury tracking measure developed
specifically for this study for the first and sixth weeks. In addition, two instruments were used to
contextualize the sample, and were collected during week one. These included a basic
demographics survey and the Dance Experiences Survey (Krasnow & Mainwaring, 1990), the
latter of which was intended to capture perceived levels of stress in dance-specific situations. A
research assistant accompanied the primary researcher for weeks one and six so that the data
collection procedures could be viewed by participants as a somewhat separate process from the
delivery of the intervention program itself.
To ensure confidentiality throughout the study, participants who volunteered to take part
in data collection procedures used code names. These code names were developed during week
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
BRYANT 23
one of the study with both groups, and consisted of two letters and four numbers. The creation of
code names was necessary given the repeated measures nature of some of the surveys. The
participants’ contact information (i.e., phone numbers and email addresses) was also voluntarily
provided during the first week of the study, and these details were stored as a separate file on a
password-protected computer throughout the course of the study. Participants’ contact
information was necessary in order to collect data for weeks two through five (see Appendix J).
Emails were sent through Gmail and text messages were sent using EZ Text, a messaging service
that allows recipients to opt-in or opt-out of correspondence at any time.
For weeks two through five, the control group did not meet with the primary researcher.
Participants in this group were sent the injury tracking survey via email or text message. The
treatment group also received the injury tracking survey via email or text message during this
same time frame. In contrast to the control group, the treatment group met weekly with the
primary researcher to learn and practice the psychological skills previously described.
While at the site, the primary researcher took field notes to capture the overall context of
the dance program and the setting in which the participants were learning and training. The
primary researcher also arrived early to each session to observe other classes and to be available
to answer participants’ questions. After each session with the treatment group, the primary
researcher remained on-site to address questions and/or comments. In addition to receiving the
injury tracking survey on a weekly basis, participants in the treatment group received an email or
text message that contained a secure link to the weekly adherence journal. The purpose of the
adherence journal was to capture participants’ efforts to practice the skills introduced throughout
the intervention program.
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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At the end of the intervention program—and once data collection procedures for week six
were complete—the research assistant conducted a focus group discussion with participants in
the treatment group (see Appendix K for semi-structured interview guide). This discussion was
audio-recorded so that all responses could be fully transcribed. Focus group participants were
incentivized with the offer of a chance to receive a $50 Visa gift card via a raffle system.
Participants were asked to describe: (1) what went well, (2) what didn’t go well, (3) what was
surprising or new, (4) how participants could use information provided in the intervention in
their lives, and (5) what about the delivery (and/or the deliverer) would they change.
Following the focus group discussion, the primary researcher conducted two exploratory
interviews (i.e., stakeholder interviews) with each of the course instructors who allowed the
researcher access to their classrooms. The instructors were interviewed via phone, and the
interviews were audio-recorded so that they could be subsequently transcribed. Both instructors
were informed that their names and titles would not be affiliated with the results and that any
identifying information would be removed from the transcriptions. These interviews focused on
gathering the instructors’ thoughts on their institution, program and teaching philosophies, and
investment in the research topics and/or process. Interviews ranged from approximately 30 to 50
minutes and followed a semi-structured interview guide (see Appendix L for a summary of
findings from these interviews).
Following the conclusion of the study, the primary researcher remained available to
participants and their instructors for follow-up questions or concerns. A basic summary of results
was also provided. Finally, the primary researcher worked with the instructors to make the
intervention program content available to those dancers who were initially assigned to the
control group.
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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Data Analyses
Before any analyses were conducted, the researcher cleaned the data set by looking for
impossible values, missing data, and cases of attrition. A few issues were found. The weekly
injury reports had the highest response rate at the start of and end of the study, and the lowest
response rate for the weeks in between. Two inconsistent or not plausible cases were identified
within the injury data. Three participants reported their injury status either twice in the same day
or twice in the same week. Given the timing of these submissions, the primary researcher made
the decision to interpret the first of the two submissions as the report for the previous week, and
the second of the two submissions as the report for the current or upcoming week. No impossible
values were discovered within the data, and no other major issues were discovered.
Multiple statistical analyses were used to answer the proposed research questions. Basic
descriptive and frequency statistics were run to contextualize the sample used in the present
study. Then, to answer the first research question, an ANCOVA was run on the post-test data
from the ACSI-28, using pre-test ACSI-28 scores as the covariate. This analysis was run on the
total scores for the ACSI-28 as well as for the seven subscales of the instrument. The
significance level was set to p = 0.05, with the goal of observing a small to moderate effect size.
The second research question was answered by running a second ANCOVA on the post
test data from the PAI, using pre-test PAI scores as the covariate. This analysis was run on the
PAI total scores, as well as for the two subscales of the instrument. The significance level was
again set to p = 0.05. The primary researcher chose these statistical analyses based on the fact
that ANCOVA may be used to increase statistical power and may potentially help with adjusting
pre-test differences between the non-random groups used in the present study (Harlow, 2014). It
should be noted that the use of ANCOVA to statistically control for a covariate is a somewhat
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
BRYANT 26
controversial approach, and therefore statisticians recommend that results be interpreted with
caution (Harlow, 2014; Miller & Chapman, 2001)
The primary researcher planned to run repeated measures analysis of variance (ANOVA)
to answer the third research question. This specific test could allow for the examination of the
average frequency and duration of self-reported injuries throughout the intervention program.
However, this analysis could not be run for two primary reasons. First, the number of dancers
who reported their injury status (and injury details) varied by week. Most or all participants
reported their injuries for weeks one and six. However, during the weeks in between, the number
of reports decreased. Given that repeated measures ANOVA requires information to be observed
or collected on the same participants at each time-point, the missing data greatly affected the
ability to conduct this analysis. Additionally, there were very few dancers (n = 3) who reported
any time lost due to injury. Time lost could have served as the continuous dependent variable in
this analysis had more injury reports, and the details within them, been submitted each week. In
the absence of this analysis, basic descriptive statistics were run in an effort to report other
informative findings.
As for the fourth and final research question, the primary researcher utilized qualitative
analyses. The primary researcher and two graduate students followed open coding procedures
(Creswell, 2007; Patton, 2002), and utilized a typological approach to identify themes and
categories from the focus group discussion. This same protocol was used to analyze the two
exploratory stakeholder interviews. The coding team also engaged in data triangulation (Patton,
2002) so as to determine similar and different perspectives.
IMPACT OF A PSYCHOLOGICAL SKILLS TRAINING PROGRAM
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Results
Descriptive Statistics
At the start of the research study, participants in the control group had a slightly lower
average score (M = 38.47, SD = 15.84) on the Pain Appraisal Inventory (PAI) than did
participants in the treatment group (M = 39.42, SD = 14.77). In contrast, control group
participants reported slightly higher coping skills (M = 52.00, SD = 8.26) as measured by the
Athletic Coping Skills Inventory-28 (ACSI-28) when compared to treatment group participants
(M = 45.67, SD = 10.42) at the start of the study.
At the conclusion of the study, participants in the control group reported lower scores on
the PAI (M = 36.14, SD = 16.27) when compared to treatment group participants (M = 43.07, SD
= 11.49). For the ACSI-28, control group participants

5/5

Players' Responses to and Primary Caregivers' Perceptions of Authoritarian and Authoritative Coaching in the Inner-City : Players' Responses to and Primary Caregivers' Perceptions of Authoritarian and Authoritative Coaching in the Inner-City
Renee Brown
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Authoritative Coaching in the Inner-City" (2017). Graduate Theses, Dissertations, and Problem Reports.
5269.
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Players’ Responses to and Primary Caregivers’ Perceptions of Authoritarian and
Authoritative Coaching in the Inner-City
Reneé Brown
Dissertation submitted to the College of Physical Activity and Sport Sciences at West
Virginia University
in Partial fulfillment of the requirements for the degree of Doctor of Philosophy in
Coaching and Teaching Studies/ Positive Youth Dynamics
Ryan Flett, Ph.D., Chair
Sean Bulger, Ph.D.
Andrea Taliaferro, Ph.D.
Suzanne Hartman, Ph.D.
Department of Coaching and Teaching Studies
Morgantown, West Virginia
2017
Keywords: Positive youth development, inner-city, coaching styles, coaching
Copyright 2017 Reneé Brown
Abstract
Players’ Responses to and Primary Caregivers’ Perceptions of Authoritarian and
Authoritative Coaching in the Inner-City
Reneé Brown
An abundance of research in sport-based positive youth development (PYD)
indicates that coaches should be positive, promote autonomy-supportive and authoritative
coaching styles, and caution the use of authoritarian leadership, while too often ignoring
elements of authoritarian leadership such as discipline and structure. However, most of
the studies conducted targeted middle-upper socioeconomic status (SES) suburban, White
populations, with little emphasis on the inner-city underserved context. Parenting and
teaching literature provides strong support for authoritarian styles in the underserved
setting (Hartman & Manfa, 2015; Smetana, 2011). Similarly, the few studies conducted
in the underserved sport settings show support of authoritarian styles (Brown et al., in
preparation; Cowan et al., 2012; Flett et al., 2012; Flett et al., 2013; Richardson, 2012).
The purpose of this study is to extend the previous year’s season-long qualitative study of
a single girl’s basketball team (Brown et al., in preparation) to include perspectives from
parents of that team and quantitative surveys from players across the league.
Participants included five head coaches with 14.2 years of experience and 80
players from the five teams in the league. The study incorporated interviews with six
parental/primary caregivers from Team C; and quantitative surveys for players in the
league. An abductive approach was used to develop thematic categories from the
interview data (Miles, Huberman, & Saldana, 2014).
Quantitative results revealed that players are improving life skill development
over time. Additionally, in order for coaches to have the biggest impact, they must use
authoritative coaching styles and foster a caring and mastery climate. More importantly,
results indicated that authoritarian coaching was a unique predictor of life skills
development, however, it did not affect life skill development in a negative or positive
manner. Qualitative results revealed that parents/primary caregivers relied on the coach
as a unique source of support and guidance to supplement, complement or compensate
their adolescent’s home life. Additionally, parents/primary caregivers strongly preferred
authoritarian coaching combined with authoritative components to instill values and
positively influence life skill development.
iii
Acknowledgements
First and foremost, I would like to give the praise, honor and glory to God for
allowing me this opportunity to grow as a person, mentally, physically, spiritually,
emotionally, and giving me the strength to endure through all odds. I am forever grateful
and thankful for my advisor, Dr. Ryan Flett, because without your commitment, intuitive
feedback, and immeasurable help, I would not have been able to complete this process
without you. Throughout the years, you have been in my corner supporting me with
everything whether it was academics, personal life, and exposed me to different
opportunities to help develop me into the person that I am today. Dr. Flett, I want you to
know that I sincerely appreciate and respect all that you do, because you go above and
beyond the traditional role of a chair and I think more professors should strive to be more
student-centered like you. To Dr. Hartman, I am so grateful that you were a part of the
entire process. Your positive reinforcement, encouragement, and open-door policy helped
motivate me through my dark times. I will forever remember the words you said to me,
“If it was easy, then everyone would do it.” To Dr. Taliaferro, I am so happy that you
were willing to be a part of the committee because the thing I valued most was that you
were straight-forward and did not sugar coat anything and it was from a place of love,
which reminded me of my mother. To Dr. Bulger, thank you for having a listening ear
and reminding me that everyone has breakdowns at one point in time, but the most
important thing is that you get back up and little did you know; it was those very words
that kept picking me up. I would also like to acknowledge Stephanie McWilliams for her
assistance in the qualitative analysis and all participants in the study. I am grateful that
you all allowed me your time to help me complete the study, given all the other
iv
tasks and responsibilities you had going on. Without you all, none of this would be
possible.
There is an old African proverb which states “it takes a village to raise a child”
little did you know, you were all that village and an extension of my family. If I could do
everything over again, without changing one thing, I would; because I value each of you
and because of your ideas and feedback made this a stronger dissertation.
To my parents, Cardell Nino Brown Sr., and Reneé Bernice Drummond-Brown,
WVU has made me understand without a shadow of a doubt that none of my
accomplishments would have been possible without parents like you. Your patience,
trainings and beliefs helped shaped me into the person I am today. I know it has been
rough over the years, and we did not always see eye to eye, but you never gave up on me
because you both seen something greater in my future. Thank you for making sacrifices
that you did and I hope that I have made you proud.
To my grandfather, Peter Charles Drummond, thank you pap-pap for loving me
unconditionally, and being present at all of my presentations.
To my siblings, Cardell Nino Brown Jr. and Raven Chardell Brown, although,
you could not be there at times physically, because of jobs and travel; you were always
there with me in spirit.
To Anthony Antonelli and Family, thank you for the love, support and kindness
you have shown me throughout the years. The Antonelli family will forever hold a
special place in my heart.
v
To my late grandmother, Barbara Ann Drummond, this degree is for you. I cannot
thank you enough because it was you and mom who both challenged and inspired me to
pursue a PhD. While at WVU as you both requested, I held on to this scripture, 2Timothy
2:15 “Study to shew thyself approved unto God, a workman that needeth not to be
ashamed rightly dividing the word of truth,” I hope I made you proud! I love you!
To all my extended family and supportive friends (too numerous to mention)
please know, that I am grateful for your love, support and prayers throughout the
education process, you also hold a special place in my heart. To God be the glory for the
things He has done in my life.
vi
Table of Contents
Acknowledgements ...............................................................................................................................iii
CHAPTER I ................................................................................................................................................. 1
Introduction .............................................................................................................................................. 1
Inner-City Context and Issues ........................................................................................................................ 2
PYD, Sport, and Underserved Inner-City Youth ...................................................................................... 4
The Coach’s Role in Inner-City Underserved Settings ......................................................................... 5
Statement of Purpose...................................................................................................................................... 10
Statement of Significance .............................................................................................................................. 11
Research Questions ......................................................................................................................................... 11
Key Terminology .............................................................................................................................................. 13
CHAPTER II............................................................................................................................................. 16
Extended Literature Review ............................................................................................................ 16
Positive Youth Development ....................................................................................................................... 17
Framing Key Literature in Theory............................................................................................................. 23
Effective Coaching, Mentorship, and Sport Issues .............................................................................. 30
Coaches’ Roles and Responsibilities ......................................................................................................... 39
Underserved Context and Sport ................................................................................................................. 45
Purpose ................................................................................................................................................................. 51
Hypothesis ........................................................................................................................................................... 53
CHAPTER III ........................................................................................................................................... 57
Method ..................................................................................................................................................... 57
vii

Design .................................................................................................................................................................... 57
Setting ................................................................................................................................................................... 58
Participants ......................................................................................................................................................... 59
Measures .............................................................................................................................................................. 61
Pilot Testing ........................................................................................................................................................ 66
Procedure ............................................................................................................................................................ 68
Data Analysis ...................................................................................................................................................... 72
CHAPTER IV ........................................................................................................................................... 79
Results ...................................................................................................................................................... 79
Participant Numbers, Measurement Reliabilities, and Assumptions ......................................... 79
Descriptive Data and Correlations ............................................................................................................ 82
Research Question 1: Developmental Outcomes and Related Factors ..................................... 85
Research Questions 2: Common and Comparison of Coaching Style in Context .................. 92
Research Question 3: How Parents View Sport and/or Coaches ................................................ 93
Summary of qualitative findings ............................................................................................................. 106
CHAPTER V ........................................................................................................................................... 108
Discussion ............................................................................................................................................. 108
Summary of Findings ................................................................................................................................... 108
Limitations ....................................................................................................................................................... 113
Recommendations for Future Research .............................................................................................. 115
References ............................................................................................................................................ 117
Appendix A ........................................................................................................................................... 135
viii

APPENDIX B ......................................................................................................................................... 139
Appendix C ............................................................................................................................................ 142
Appendix D ........................................................................................................................................... 147
Appendix E............................................................................................................................................ 156


AUTHORITARIAN AND AUTHORITATIVE COACHING
1
CHAPTER I
Introduction
The current dissertation is grounded in the ecological systems theory (EST) and
expands Brown, Hayes, Goodson, Hartman, and Flett’s (in preparation) season-long
ethnography and interview study to include parental/primary caregiver perspectives and
the other high school girls’ basketball teams within the same city league. The purpose of
this study is four-fold. First, it will inform the reader of the coaching styles used in the
underserved setting. Second, it will explore the impact of the coaching style and
objectively track developmental outcomes throughout the season. Third, it will explore
the use of authoritarian strategies in the underserved setting, which is under-represented
in the sport literature. Lastly, it will investigate parental/primary caregivers’ perceptions
of the coaching style used in the underserved setting, the intentionality of the coach,
whether life skills (LS) are transferred from the sport setting to other domains of life, and
how the coach supplements or augments parental/primary caregivers’ efforts in this
context. In summary, the purpose of this study is to expand the previous year’s season
long qualitative study of a single girls’ basketball team to include perspectives from
parents of that team and quantitative surveys from players across the league.
Positive youth development (PYD) is especially important in underserved
communities because youth are less likely to have positive emotional, social, and
cognitive developmental experiences (Flett, Gould, & Lauer, 2013; Smetana, 2011).
Sport is an avenue for youth to engage in PYD; however, PYD occurs from positive
experiences and coaching, not from sport alone (Thomas-Fraser, Côté, & Deakin, 2005).
AUTHORITARIAN AND AUTHORITATIVE COACHING
2
The sport-based PYD literature encourages coaches to create autonomy-supportive
climates, be “positive” with their players, and cautions the use of authoritarian,
controlling coaching styles (Cowan, Taylor, McEwan, & Baker, 2012). PYD research
typically focuses primarily on white, middle- to high-class populations with limited
research on coaches in underserved urban settings. Based on strong support from
parenting literature—and to a lesser extent, the teaching literature—authoritarian styles
may be the most developmentally effective approach in underserved settings. This
chapter will provide a basic overview of the literature and issues in inner-city contexts,
PYD in sport, and the coach’s role in the underserved setting, and will conclude with
definitions of key terminology.
Inner-City Context and Issues
The underserved setting can be defined as those individuals that are provided with
low levels of access, inadequate services (i.e. health services, low rates of insurance, etc.)
and face a multitude of barriers in everyday life (Walsh, 2008). This context can be
characterized by high-risk factors such as poverty, high crime rates, and lack of support.
Youth who grow up in this setting are more likely to be at a developmental disadvantage
socially, emotionally, and cognitively because they are not afforded the same
opportunities as higher socioeconomic (SES) communities (Smetana, 2011). Underserved
youth are more likely to face challenges such as broken homes, racism, poverty, lower
quality health care, poor education, gang violence, crime, and limited extracurricular
activities (Martinek & Hellison, 1997; Martinek & Schilling, 2003; Walsh, 2008).
Experts have argued that youth living in the underserved settings are in the greatest need
AUTHORITARIAN AND AUTHORITATIVE COACHING
3
of PYD-support because they are more likely to lack developmental experiences and
support systems (Flett et al. 2013; Walsh, 2008).
Parents and primary caregivers are responsible for socializing and teaching their
children the socially desirable behaviors of the culture. However, parenting styles differ
from home to home. Furthermore, Coakley (2002) indicated that upper-middle income,
predominately White families place emphasis on upward mobility, as compared to an
underserved minority family which emphasizes control and discipline. Research in
parenting literature shows strong support for Coakley’s claim and revealed that parents in
the underserved setting are more likely to use authoritarian parenting styles because they
are developmentally effective and serve as a protective factor to underserved youth
(Eamon, 2002, Smetana, 2011). For example, Eamon’s two-year longitudinal study with
participants living in poverty found that the use of physical punishment prevented anti
social behavior. In a similar study, Dearing (2004) found that authoritarian parenting
served as a protective factor for youth living in a neighborhood characterized by rape,
robbery, burglary, larceny, and aggravated assault. The authors also found that the
authoritarian parenting style had a positive effect on academic performance.
Research in teaching literature describes that the utilization of an authoritarian
approach by staff and teachers toward youth living in poverty is associated with fewer
child-behavior concerns (Hartman & Manfra, 2015; Higgins & Moule, 2009). For
example, Hartman and Manfra conducted a year-long study to explore the relation
between the quality of childcare and behavioral development with low-income
underserved Latino children. The findings revealed that a controlling and strict (i.e.
authoritarian) approach improved child behavior and decreased behavior concerns. In
AUTHORITARIAN AND AUTHORITATIVE COACHING
4
sum, some research indicates that authoritarian styles are developmentally effective for
youth living in the underserved settings.
PYD, Sport, and Underserved Inner-City Youth
PYD is a holistic strength-based approach that focuses on enhancing pro-social
norms and optimizing personal development, and engaging youth within their family,
school, and community contexts. This leads to involvement in extracurricular activities
and develops and refine youth skills (Coakley, 2011). Experts emphasize that organized
sport participation could be beneficial and aid in PYD (Deakin, 2005).
Sport is considered the most popular and time-consuming activity in high schools
(Hansen & Larson, 2007), and is typically available to underserved populations. Many
believe that sport is an appropriate activity for enabling PYD because it can serve as a
protective factor, enhance personal and interpersonal development, and provide
opportunities for youth to build rapport with adults, such as coaches (Cowan et al., 2012;
Flett, Gould, Griffes, & Lauer, 2012; Flett et al., 2013; Gould, Flett, & Lauer, 2012;
Richardson, 2012). Research shows that sport can have positive outcomes such as
physical health (Côté & Fraser-Thomas, 2007), teamwork/cooperation opportunities
(Gould et al.), positive relationships with adults (Fry & Gano-Overway, 2010) and
positive self-esteem (Smith, Smoll, & Curtis, 1979). However, other researchers found
sport to have negative outcomes on youth such as increased stress (Merkel, 2013),
emotional abuse (Stirling & Kerr, 2013), poor cooperation, and negative peer influence
(Dworking & Larson, 2006). In other words, PYD does not occur from sport participation
alone; other social contextual factors (i.e. coaches) contribute to the fostering of PYD
(Petipas, Cornelius, Van Raalte & Jones, 2005; Holt, 2008).
AUTHORITARIAN AND AUTHORITATIVE COACHING
5
The Coach’s Role in Inner-City Underserved Settings
As stated earlier, PYD does not occur from sport alone; coaches play a pivotal
role in player development through their coach-athlete relationship (Jowett & Ntoumanis,
2004; Petipas et al., 2005; Smith & Smoll, 2011) motivational climate, coaching style,
and coaching behavior, especially in the underserved settings.
Coach-Athlete Relationship. In underserved settings, interpersonal relationships
within non-familial adults (such as coaches) are important (Levine & Munsch, 2016). The
coach-athlete relationship is essential because coaches have the ability to become role
models and mentors to their athletes due to the consistency and time spent in games,
practices, and off-court activities (Jaime et al., 2015). Furthermore, research shows that
athletes’ perceptions of strong coach-athlete relationships are linked to positive
developmental experiences (Jowett, 2008). Richardson’s (2010) study in the underserved
context of New York City showed that caring and trust was built between players and
coaches through consistent interactions during practices and off-court activities. As a
result, the coach was able to reduce risk, promote resiliency, and provide safety to players
through mentorship. In addition, the coach kept players occupied with various activities
and talked to players about their actions and choices. Experts emphasized the importance
of the caring element when it comes to working with underserved youth.
Motivational Climate and Caring Climate. Another important factor that has a
direct impact on player experience is the motivational climate. Coaches are responsible
for creating and structuring an environment that is beneficial to PYD. Research strongly
supports the idea of using a mastery climate because success is based on personal
improvement, effort, helping others, learning through cooperation, and hard work (Cox,
AUTHORITARIAN AND AUTHORITATIVE COACHING
6
2002). Furthermore, studies have shown that mastery climates increased positive attitudes
towards sport and coach (Fry & Newton, 2003), decreased burnout (Vitali et al., 2015),
decreased athlete anxiety (Fry & Newton, 2003), and increased personal and social
development. Gould et al. (2012) found that a mastery-oriented climate has the most
positive impact on underserved youth.
However, Gould et al. (2012) also found that “kids don’t care what you know,
unless they know you care,” (p.86) and hypothesized that the caring climate defined by
Newton et al. (2007, p.70) as "the extent to which individuals perceive a particular setting
to be interpersonally inviting, safe, supportive, and capable of providing the experience
of being valued and respected” is more important than a motivational climate and is more
likely to influence PYD. The caring climate is an important factor in PYD because if
players perceive the feelings of being cared for (feelings of support, safety, value, and
respect) then they are more likely to value the perspective of their coach (Gano-Overway
et al., 2009). In other words, coaches who create a caring climate can impact their
players’ beliefs and foster prosocial behaviors. Similar to Richardson’s (2010) study,
Gould et al. found that building rapport, caring, and supporting the athletes allowed the
coach to be more effective in their personal and social development (e.g. teamwork,
physical skills, initiative, cooperation). Additionally, Fry and Gano-Overway (2010)
found that players who perceived a caring climate reported having higher enjoyment and
more positive attitudes towards the coach and teammates.
Coaching style. Coaches in urban, underserved settings are believed to be more
authoritarian, controlling and militaristic towards their athletes because they want to
protect and prepare their players for the ways of the world as opposed to creating an
AUTHORITARIAN AND AUTHORITATIVE COACHING
7
autonomy-supportive climate (Flett et al., 2013). For example, Flett et al. (2012)
conducted a qualitative comparison study in inner-city Detroit with 12 youth coaches
from six different sports. The authors used ethnographic methods and interviews to
observe the coaches 14 times in practice and game settings before conducting in-depth
interviews with each coach. Findings indicated that coaches who utilized an authoritarian,
militaristic coaching style were invested in their athletes lives and knew the personal
struggles the athletes faced (e.g. gang violence, crime, abuse, uninvolved parents,
dangerous neighborhoods, etc.). Furthermore, coaches wanted to prepare players for the
ways of the world with “tough-love.” The coaches who utilized this approach disciplined
the players out of love and went to the extremes to protect their athletes from negative
outcomes. In addition, the authors found that discipline may be effective in the urban
underserved settings, which is consistent with the parental literature.
However, the same sample of coaches tended to use authoritarian styles in overly
harsh, ineffective ways. Discipline and toughness used by these coaches were
understandable and justified, but extreme anger, harsh verbal attacks and emotional
manipulations were unjustifiable. The study did not investigate the coaches’ behavior
over a long period of time, did not interview parents, and this particular study did not
incorporate quantitative measures or a more generalizable sample size.
Cowan et al. (2012) conducted a case study in the underserved setting of Scotland
to explore coaching behaviors and the common assumption that autonomy-supportive
coaching is adaptive, versus controlling coaching which is considered to be maladaptive.
The sample included two male head coaches and 18 athletes from two teams between the
ages of 16 to 19 years. The authors found that the coaches were considered to be
AUTHORITARIAN AND AUTHORITATIVE COACHING
8
controlling and militaristic. However, the coach used humor to help buffer the negative
outcomes associated with his authoritarian, controlling coaching style. In addition, the
authors found that the provision of choice to the players was maladaptive in this setting
because players lacked confidence and self-esteem. The study was limited because the
authors were not immersed into the culture of the team but instead relied on non
participant observations. This underserved setting may also differ from North American
high school sport. Although the context may differ, the fact remains that an authoritarian
coaching style was effectively used in an underserved setting. Based on the few studies
published about underserved sport-based PYD, results suggest that authoritarian coaching
styles play a significant role in underserved PYD (Cowan et al., 2012; Flett et al., 2012;
Flett et al., 2013; Gould et al., 2012; Richardson, 2012).
Brown et al. (in preparation) conducted a season-long in-depth ethnographic study
to observe a coach’s style and impact on players in the underserved setting. In addition,
the study included interviews to assess the coach and players’ perceptions of the
developmental environment, the coach’s perceived role/responsibilities, and the rationale
for coaching style/strategies. In an effort to address multiple gaps in the literature, this
study focused on a high school girls’ basketball team, was conducted over an entire year,
and the primary investigator was embedded within the team as a volunteer coach (and
had already coached with that team for a full season before this research study). As such,
the data collected in this dissertation represents the author’s third year with the team and
second year researching them and the city-league.
The results of Brown et al. (in preparation) indicated that the coach was
characterized as highly authoritarian and controlling, but also highly caring and sensitive
AUTHORITARIAN AND AUTHORITATIVE COACHING
9
to the needs of the players. Together, these attributes are indicative of what the authors
term a “tough-love” approach: caring, understanding, and supportive, yet disciplined,
demanding, and lacking autonomy support. The coach consumed and controlled much of
the player’s time in order to develop academics, life skills, and character while keeping
them from threats in the community. Player and coach-interviews revealed that the coach
had high expectations for the players and disciplined them out of love. The coach used
physical tactics such as Charlie Horsing (light jabs in the arm), “popping” (i.e. slapping
players in the head), and “socking” (i.e. punching) to get players back on task, to
motivate, and to keep their attention. All players believed the coach used physical contact
in a positive and humorous manner, never in a negative manner, because the coach cared
for the players. Critical to the literature, results indicated that players generally supported
the coach’s use of an authoritarian approach, and expressed a desire for even more
disciplinary, controlling, and strict leadership (in order to manage newer and more unruly
girls). However, the study was limited in its design because the authors focused on one
team in the league and did not make comparisons to other teams. In addition, they did not
obtain quantitative assessments of developmental outcomes or perceived coaching style.
Parents of the players also expressed an interest in being interviewed so that they could
share their perspectives on the coach, context, and their daughter’s development.
What works for one context may be maladaptive in another context. Authoritarian
styles used in underserved, high-crime/-violence, and disadvantaged settings are more
likely to facilitate resilience and positive outcomes in youth (Cowan et al., 2012; Flett et
al., 2012; Flett et al., 2013; Gould et al., 2012; Hartman & Manfra, 2015; Richardson,
2012). Additionally, authoritative styles in these settings may be considered harmful and
AUTHORITARIAN AND AUTHORITATIVE COACHING
10
maladaptive. Coaching styles should be context-specific and focus on players’ needs
(Flett et al., 2016).
After reviewing the foundational articles related to coaching in the underserved
settings, future research needs to explore parental/caregiver views on the coaching style
and how it impacts child development, the transfer of life skills, and the use of
authoritarian strategies. The current sport-PYD literature is not representative of the
underserved context and the unique challenges they face in everyday life. As stated
earlier, parenting literature and to an extent, some teaching literature shows strong
support for authoritarian (controlling, monitoring, and strict) styles in the underserved
setting. However, coaching literature typically cautions the use of authoritarian styles and
supports the use of positive, choice-based, autonomy-supportive (i.e. authoritative) styles
for PYD—but may be overgeneralizing their findings.
Furthermore, the current sport-PYD literature needs to expand and become more
culturally and socioeconomically diverse. Additionally, the literature must progress and
change from streamlining and stating that the use of authoritarian coaching and parenting
is wrong. More importantly, the most valuable question that needs to be answered is:
How can authoritarian styles of coaching be used most effectively, especially in the
underserved settings?
Statement of Purpose
In summary, the purpose of this dissertation will address the lack of underserved
PYD research; address the need for more longitudinal mixed-method studies; objectively
measure and track developmental outcomes throughout a season; and better understand
coaching styles used and how they impact PYD in the underserved setting (Cowan et al.
AUTHORITARIAN AND AUTHORITATIVE COACHING
11
2012; Flett et al. 2012 and 2013). In addition, the dissertation will answer the question
“what combination of coaching style factors has the strongest influence for PYD in the
underserved setting?” Lastly, it will look at parental/caregiver perceptions and
preferences of coaching styles, the intentionality of the coach, and transferable life skills.
Statement of Significance
The following dissertation contributes to the existing sport-based PYD literature
by exploring a multitude of coaching styles used in the underserved settings of the inner
city. To the knowledge of the primary investigator (PI), this study is the first to
objectively measure authoritarian and authoritative coaching in sport (in the underserved
or any other setting). Additionally, the current study will assess life skill outcomes at two
time periods, which differs from the current sport-based literature utilizing one time of
data collection. This study is informed by not only the sport literature but also parental
and teaching literature.
Research Questions
This study will use quantitative measures to survey teams across the city league
located in an urban underserved setting in the North East United States, and in-depth
interviews with parents/primary caregivers from one team (Team C) within this league.
The research questions and sub-questions guiding the study are as follows:
1. Do life skills (LS) improve from participation, and what coaching style factors
influence those LS outcomes?
1.1 Do quantitative measures of life skills show improvement for players across
the season (Do scores change over time)?
AUTHORITARIAN AND AUTHORITATIVE COACHING
12
1.2 Do quantitative measures of coaching style change over the basketball season
(between Time 1 and Time 2)?
1.3 Are certain coaching styles greater for LS development (i.e. authoritarian,
authoritative, caring, mastery, ego)?
1.4 If you were to combine all coaching style factors, which have the strongest
influence on LS?
1.5 What influence does authoritarian coaching have on LS when combined with
each of the other three coaching style factors (i.e. caring, mastery, ego), one at
a time (i.e. authoritarian + caring; authoritarian + mastery; and authoritarian +
ego).
1.6 What influence does authoritative coaching have on LS when combined with
each of the other three coaching style factors (i.e. caring, mastery, ego), one at
a time (i.e. authoritative + caring; authoritative + mastery; and authoritative +
ego).
2. What is the common style of coaching in the city league?
2.1 What is the common coaching style in the city league?
2.2 How does Coach DD’s (Team C) style compare to other coaches’ styles in the
city league?
3. Is this coach (Coach DD, Team C) developing LS through basketball, and if so, what
skills and how does she develop them?
3.1 What developmental outcomes do parents think occur from participation with
this coach and team (i.e. life skills development, intentionality, and
transferability)?
AUTHORITARIAN AND AUTHORITATIVE COACHING
13
3.2 Does the coach foster youth development intentionally? If so, how does she
intentionally develop LS?
3.3 Do parents feel they can provide concrete examples of transferrable LS? If so,
how are they being transferred?
3.4 Do parents think the sport or coach supplement psychosocial development in
the players’ home lives? If so, how does the coach or sport supplement
psychosocial development in the players’ home lives?
Key Terminology
Adolescents. Youth who are in the transitional stage concerning childhood and
adulthood between the ages of 13 to 19 years.
Authoritarian. A person who is characterized as highly demanding, less
responsive, controlling, and rarely provide rationales (Baumrind, 2013). Authoritarians
tend to create a disciplined environment with clear rules, and monitor behaviors, and
activities of youth (Holt, Tamminen, Black, Mandigo & Fox, 2009).
Authoritative. A person who is characterized as highly demanding, responsive,
consistent, and provides rationales (Baumrind, 2013). In addition, authoritative people are
assertive, and use supportive rather than disciplinary actions (Holt et al. 2009).
Autonomy-supportive. “A style that actively supports self-initiated strivings and
creates conditions for athletes to experience a sense of volition, choice, and self
endorsement (Bartholomew, Ntoumanis, Thøgersen-Ntoumani 2010).” In addition, an
autonomy-supportive style allows youth to feel that they initiate their actions rather than
feeling coerced to act in a certain manner (Grolnick, 2003).
AUTHORITARIAN AND AUTHORITATIVE COACHING
14
Caring climate. “The extent to which individuals perceive a particular setting to
be interpersonally inviting, safe, supportive and capable of providing the experience of
being valued and respected” (Newton et al., p.70).
Positive youth development. A holistic intentional approach that engages youth
in all contexts (i.e. school, home, work, etc.) while enhancing pro-social norms and
helping youth reach their full potential (Holt, 2008; U.S. Department of Health and
Human Services, 2007).
Sport. Structured physical activity governed by a set of rules and facilitated by a
coach or instructor that is implemented in an individual or group setting.
Tough-love. A formal, established definition for this term is not available from
the literature, but because the term is frequently used in this dissertation, it is important to
provide clarity it. The term has emerged from research by Flett et al. (2013) and Brown et
al. (in preparation). Tough-love is meant to describe a highly caring and respectful
approach to authoritarian, or more controlling, coaching. Such an approach would not be
“entirely” authoritarian in that there could be elements of autonomy-supportive and
authoritative behaviors. Finally, based on Flett et al.’s work, it is important to clarify that
a tough-love approach is not angry, unregulated, out of control coaching. A tough-love
coach is able to model life skills and positive psychosocial attributes.
Underserved. According to the American Journal of Managed Care (2013),
underserved populations are defined as vulnerable populations that include the
economically disadvantaged, racial and ethnic minorities, the uninsured, low-income
children, the elderly, the homeless, those with human immunodeficiency virus (HIV), and
those with other chronic health conditions, including severe mental illness. It may also
AUTHORITARIAN AND AUTHORITATIVE COACHING
15
include individuals who often encounter barriers to accessing healthcare services. The
vulnerability of these individuals is enhanced by race, ethnicity, age, sex, and factors
such as income, insurance coverage (or lack thereof), and absence of a usual source of
care. Their health and healthcare problems intersect with social factors, including
housing, poverty, and inadequate education. For the purpose of the dissertation,
underserved will be characterized as those who are socially disadvantaged, living in
poverty, and face many unique challenges such as racial discrimination, gang violence,
substance abuse, and cultural barriers (see, Flett, Gould, & Lauer, 2013; Richardson,
2012; Walsh, 2008).
AUTHORITARIAN AND AUTHORITATIVE COACHING
16
CHAPTER II
Extended Literature Review
This dissertation addresses the need for research on sport coaches and positive
youth development (PYD) in the underserved setting. The study will explore inner-city
coaching styles throughout the season and their impact on developmental outcomes. In
addition, the study will examine parents’/primary caregivers’ perceptions of the coaching
style in the city league, and intentionality and transferability of life skills.
While an authoritative style and positive coaching strategies (e.g., autonomy
support) are staples of a PYD approach to coaching, authoritarian parenting and teaching
styles are more developmentally effective in underserved settings. Bartholomew,
Ntoumanis, and Thøgersen-Ntoumani (2010) argued that coaches can use a mixture of
both autonomy-supportive and controlling strategies simultaneously and still be
considered adaptive. Youth from underserved settings are in the greatest need of PYD
because of the unique challenges they face in their everyday life (Walsh, 2008).
Researchers believe that underserved youth may also be less likely to have positive
developmental experiences in sport (Flett, Gould & Lauer, 2012; Flett, Gould, Griffes, &
Lauer 2013; Richardson, 2012). Sport is a popular activity in high school and many
perceive it to be an effective activity to enhance personal development and serve as a
protective factor for underserved youth (Coakley, 2011). Sport provides underserved
youth the opportunity to develop interpersonal relationships and build rapport with peers
and non-familial adults, such as coaches.
AUTHORITARIAN AND AUTHORITATIVE COACHING
17
The purpose of this chapter is to explain the importance of PYD and how it relates
to this study. Additionally, this chapter will discuss the context needed for PYD to occur
in sport and explain the importance of girls’ participation in sport. The chapter will then
focus on the ecological systems theory (EST), which will help explain the importance of
interpersonal relationships throughout different contexts, and how they play an enormous
role in player psychosocial development. Furthermore, it will then focus in depth on
effective coaches, with specific emphasis on the coaches’ role, style, and the created
motivational and caring climate. Lastly, the chapter will review the scant literature in
sport and the underserved setting, address gaps, and discuss future directions.
Positive Youth Development
In the past, traditional youth development was reactive and focused on
minimizing and reducing problems such as teen pregnancy, sexual involvement,
substance abuse, problem behaviors and delinquency during adolescence in targeted
populations (Holt, 2008). This traditional approach provided intervention programming
and treated youth as beneficiaries as opposed critical resources and solutions. Pittman et
al. (2011) noted that problem-free youth are not fully prepared to be productive members
of society. Larson (2000) argued that healthy development involves more than reducing
and minimizing problem behaviors. In addition, Holt (2008) and others argued that a
comprehensive, holistic approach is more beneficial and would achieve long lasting
results for youth. As a result, a shift has been made from a traditional deficit reduction
approach to a humanistic positive youth development approach.
PYD is a holistic, strength-based approach that engages all youth within their
families, school, and community context. PYD has no singular definition. It concentrates
AUTHORITARIAN AND AUTHORITATIVE COACHING
18
on enhancing pro-social norms, helping youth reach their full potential (U.S Department
of Health and Human Services, 2007), fostering positive relationships (Strachan, Côté, &
Deakin, 2009), and viewing youth as contributing members of society and critical
resources to be developed as opposed to problems to be solved (Holt, 2008; Roth &
Brooks-Gunn, 2003).
Within the PYD field, several researchers have outlined key components needed
for optimal development. Larson (2000) believed that there needs to be a match between
experiences of adolescents and requirements of the adult word. He argued that youth need
three important characteristics to function as healthy adults: initiative, empowerment and
leadership opportunities. Damon (2009) believed youth need to have a “purpose” in life,
which, in turn, helps adolescents cope and allow them to be optimistic no matter the
situation. The Five C’s Model of PYD created by Lerner and colleagues (2005) address
psychological, behavioral, and social characteristics in youth including: competence,
confidence, connection, character and caring. Youth who acquire the Five C’s are
considered to be thriving and will develop a sixth C, described as contribution to self,
family, and community (Zarrett & Lerner, 2008).
Similarly, the Search Institute identified 40 developmental assets, also known as
“building blocks” for human development. These assets help youth to become more
healthy, caring, and responsible adults. The developmental assets are organized into two
components, internal assets and external assets, with eight domains. Internal Assets are
sets of skills, links to the personal development, competencies, and values within a
person and are grouped into four categories: 1) positive identity, 2) positive values, 3)
social competencies, and 4) commitment to learning (Benson et al., 2011). External
AUTHORITARIAN AND AUTHORITATIVE COACHING
19
assets describe the environmental, contextual and relational assets (formation of strong
bonds and relationships with the developing person), and are likewise grouped into four
categories: 1) empowerment, 2) support, 3) constructive use of time, and 4) boundaries
and expectations (Benson et al., 2011; Brofenbrenner, 2009). In order to develop these
assets, youth must positively and effectively interact within various contexts (family,
school, and community) to build important relationships and foster opportunities to
enhance their skills (Strachan et al., 2009). Research shows that adolescents who acquire
multiple assets have a greater chance of developing in a healthy manner (Benson et al.,
2006; Strachan, Fraser-Thomas, & Nelson-Ferguson, 2016). Fraser-Thomas, Côté and
Deakin (2005) implied that organized sport participation could benefit youth and help
them grow into caring and responsible adults.
Sport and PYD. PYD engages youth through multiple contexts (family, school,
and community) and provides youth the opportunity to get involved in various
extracurricular activities, like sport, to develop and refine their skills. In almost every
school, sport is the most popular and time-consuming activity (Hansen & Larson, 2007).
In the United States, approximately 21.5 million youth between the ages of 6 to 17
participate in organized team sports annually (Kelley & Carchia, 2013). The late Nelson
Mandela stated:
Sport has the power to change the world. It has the power to inspire, it has the
power to unit people in a way that little else does. It speaks to youth in a language
they understand. Sport can create hope, where once there was only despair
(Laureus World Sports Awards, Monaco 2000).
AUTHORITARIAN AND AUTHORITATIVE COACHING
20
Organized sport enhances personal development more so than informal activities
such as hanging out with friends (Mahoney & Stattin, 2000), or hanging out at the mall
(Osgood & Anderson, 2004). According to Perkins et al. (2007), “Time spent in youth
programs is the most consistent predictor of youth thriving,” and research supports that
youth participating in organized sport are more likely to experience positive
developmental outcomes in comparison to those who do not participate in organized sport
(Larson, 2000). Empirical findings have shown that organized sport can lead to healthy
social, psychological, and physical developmental outcomes such as an increase in
physical health (Bailey, 2006; Côté & Fraser-Thomas, 2007), self-esteem (Bailey, 2006;
Smith, Smoll & Curtis, 1979), decreased stress (Smith, Smoll, & Cumming, 2007),
leadership opportunities (Gould & Carson, 2008), teamwork/cooperation opportunities
(Gould et al., 2012), increased academic achievement (Bailey), character development
(Donnelly & Coakley, 2007; Gould, Collins, Lauer, & Chung, 2007), responsibility
(Hellison & Cutforth, 1997) and the establishment of positive relationships with adults
(Fry & Gano-Overway, 2010; Strachan et. al, 2009).
The cultural and structural context of sport influences personal and social
development (Theokas, Danish, Forneris, Hodge, & Heke, 2008). Factors such as
personal characteristics of the athletes and coach (Peterson, 2004), actions of the coaches
(Smith& Smoll, 2002), and the environmental context (Fry & Gano-Overway, 2010;
Holt, Sehn, Spence, Newton & Ball, 2012; Martinek & Hellison, 1997) play a role in
developmental outcomes in sport. Larson, Hansen, and Montea (2006) contend that
positive outcomes of sport will likely occur when it is intentional, structured, and
systematic because sport is more likely to enhance external and internal assets in
AUTHORITARIAN AND AUTHORITATIVE COACHING
21
adolescents (Hodge, 1989; Petipas, Cornelius, Van Raalte, & Jones, 2005). However,
sport participation alone is not the “magic ingredient” to enhance PYD.
Negative outcomes and best-practices. Although many studies show that sport
can be beneficial to PYD, negative outcomes can occur if PYD is not intentional. If sport
is not conducted in the right manner, it has the potential to deter youth from personal and
social development and result in eating disorders (Reel, SooHoo, Petrie, Greenleaf, &
Carter, 2010), elevated use of alcohol (Lisha, Crano, & Delucchi, 2014; Veliz, Boyd, &
McCable, 2015), sport injuries (Vitali, Bortoli, Bertinato, Robazza, & Schena, 2015),
decrease in self-esteem and confidence (Stirling & Kerr, 2013), athlete burnout (Vitali et
al.), increased stress (Gould & Carson, 2010), poor sportsmanship (LaVoi, & Stellino,
2008), emotional abuse (Stirling & Kerr), and/or poor cooperation and negative peer
influence (Dworkin & Larson, 2006). These negative outcomes are believed to occur
because of parents, youth, and coaches placing too much emphasis on sport outcomes
(i.e. winning, losing, and playing time), lack of formal education for coaches, and sport
susceptibility to adult domination (Gould & Carson, 2008).
The research presented shows empirical support for both positive and negative
outcomes that may result from sport participation. As stated earlier, sport participation
alone is not the “magic ingredient” to enhance PYD. Coakley (2011) argued that, “By
itself, the act of sport participation among young people leads to no regularly identifiable
developmental outcomes” (p. 309).
In an effort to reduce negative experiences, Petipas et al. (2005) created a PYD
sport framework grounded in research findings and best practices in the field of youth
development (Larson, 2000; Smith & Smoll, 2002). Petipas et al. indicated that PYD will
AUTHORITARIAN AND AUTHORITATIVE COACHING
22
occur when youth a) are engaged in a desired activity within the appropriate context, b)
are surrounded by positive, caring external assets, and c) have the opportunity to learn
and acquire internal assets. In addition, Lerner and Lerner (2006) indicated that structure
and physical/psychological safety of athletes are critical factors to instilling PYD. In the
teaching personal and social responsibility (TPSR) framework, Martinek and Hellison
(1997) suggested that youth development programs should develop a sense of values,
purpose, and empowerment; respect diversity; promote safety; and develop resiliency. In
other words, youth programs need to create and maintain a physically, psychologically,
emotionally, and socially safe setting where coaches provide opportunities to teach youth
the necessary skills and instill positive values needed for sport and other domains (i.e.
school life, home life, and work life). The current study looks at how coaching styles,
sport participation, and intentionality of the coach may promote PYD.
Girls in sport. This study will look at PYD in the context of high school girls’
basketball teams. A generation ago, sport literature focused primarily on male
involvement because girls participating in sport were not culturally accepted nor
acknowledged. Within the past 40 years, there has been an increase in girls participating
in sports in America due to Title IX of the Educational Act of 1972, which prohibits
gender discrimination in any federally funded education program or activity (Paule-Koba,
Harris, & Freysinger, 2013). Title IX states, “No person in the United States shall, on the
basis of sex, be excluded from participation in, be denied the benefits of, or be subjected
to discrimination under any education program or activity receiving financial assistance”
(Title IX and Sex Discrimination, 2015). As a result, Title IX increased athletic
opportunities for girls and women. Women participating in sports has become more
AUTHORITARIAN AND AUTHORITATIVE COACHING
23
culturally accepted and celebrated (Cooky, 2010). Research shows that sport and physical
activity positively impact the physical and psychosocial well-being of girls and women
(Staurowksy et al. 2009). Sport can potentially increase girls’ self-confidence, prevent
eating disorders, and enhance their physical health (Kane et al., 2007). In addition, sport
participation is associated with a positive body image (Hausenblas & Fallon, 2006;
Huang et al. 2007), an increase in educational achievement (Coakley, 2011), and a
decrease in teen pregnancy and substance abuse (Staurowsky et al.). Allen (2003) implies
that a sense of belongingness and enjoyment is the motivator for girls in sport.
Furthermore, Allen (2003) also provided support that girls prefer social, “fun” activities,
and opportunities to learn concepts and skills as motivators for their participation
(Passmore & French, 2001; Perkins et al., 2007).
Despite Title IX and increased athletic opportunities, sport participation gaps for
underserved African American girls still exist in urban and rural communities (Sabo &
Veliz, 2008). Sabo (2009) suggested that the lack of participation in urban and rural
communities can be explained by multiple contextual factors that include family income,
race and ethnicity, and the type of community. Sport may be helpful to achieve PYD for
underserved girls, but as stated earlier it is not the only ingredient (Coakley, 2011;
Hartmann & Kwauk 2011). Coakley (2011) argued that other factors within and outside
the sport program help to foster developmental benefits.
Framing Key Literature in Theory
Multiple theories have been used in sport PYD literature to explain the positive
and negative outcomes of sport. Due to the pragmatic approach for this dissertation, the
theory used for the current study is grounded in the ecological systems theory (EST). The
AUTHORITARIAN AND AUTHORITATIVE COACHING
24
current study uses the EST (Brofenbrenner, 2009) to organize the review of literature and
as the rationale for including parents and other teams from this league as participants in
this study. EST allows the researcher to look at a broader picture of how an inner-city
girls’ basketball team functions in relation to the entire league and the parents’/primary
caregivers’ point of view.
Ecological System Theory. Brofenbrenner’s (1977; 2009) EST suggests that
human development and human behavior occur from person to context interactions. EST
provides a framework to understand the significance of social interactions within and
between various contexts, such as the home, school, and work environments. EST has
been used across several research domains (e.g. sport, public health, psychology, child
development, sport, etc.) to understand the bidirectional influence between youth and
their context (Lerner et al., 2011).
Within the EST framework, the ecological systems model is organized into four
nested systems that include: microsystem, mesosystem, exosystem and macrosystem. The
microsystem represents one’s immediate context that directly impacts development (e.g.
home, school, church, team). The mesosystem represents regular social interactions and
interconnectedness between the microsystems (i.e. the relationship between a coach and
player). The exosystem represents the relation between a social setting and one’s
immediate context, which the individual does not have an active role in (i.e. the coach’s
relationship with the player’s parents). Lastly, the macrosystem represents the cultural
context, such where one lives (e.g., neighborhood), SES, poverty and ethnicity. EST is
relevant to the sport domain because it takes into account the bidirectional influence of
individual, environmental, and program characteristics, rather than studying the
AUTHORITARIAN AND AUTHORITATIVE COACHING
25
individual in isolation. Integrating EST into the design of this study reinforces the PYD
perspective, because PYD is grounded in an ecological systems approach to youth
development (Holt, 2008). The family, school, and community contexts of PYD are
considered below.
Family context. Within the family context (microsystem), parenting strategies
and techniques are used to socialize and teach their children appropriate behaviors of the
culture. Parenting styles differ throughout cultures and vary from home to home. Coakley
(2002) emphasized that upper- middle income, predominantly White families have
different ideas about PYD and believe that outcomes should emphasize achievement and
upward mobility, in comparison to underserved minority families who emphasize control
and discipline.
Baumrind (2013) created a typology that described four different parenting styles
grounded in research findings: authoritarian, authoritative, permissive and disengaged.
For the purpose of this paper, authoritarian and authoritative parenting styles will be
defined and emphasized as they relate to coaching in the inner-city. Authoritarian
parenting styles are described as highly structured with clear stated rules, high control,
and militaristic with the use of physical discipline such as spanking (Deater-Deckard,
Lansford, Dodge, Pettit & Bates, 2003; McLoyd, Kaplan, Hardaway & Wood, 2007).
Parents who utilize this style are considered to be high in demand and low in acceptance
and responsiveness to their child. These types of parents often have a large number of
rules that they expect their children to obey and rarely provide rationales for their rules
and expectations. On the other hand, authoritative parenting styles are described as
parents being highly demanding and highly accepting/responsive to their children. Unlike
AUTHORITARIAN AND AUTHORITATIVE COACHING
26
authoritarian parenting styles, authoritative parents tend to provide rationales for their
rules/expectations and listen to their child more (Baumrind, 2013). Experts suggest that
authoritative parenting styles are linked to positive PYD outcomes; however, these
findings may not be generalizable to other contexts because the majority of these studies
examined white, middle-class populations.
Coll and Pachter (2002) advised researchers studying African American or other
minority populations to use a historical and cultural lens to try to account for their
experiences (i.e. slavery, racism, and poverty). Similar to EST, sociocultural theorist
Vygotsky believed “development occurs over time within the context of the culture”
(Gardiner & Kosmitzki, 2008, p. 302). In other words, learning and development occurs
through context and social events, and cannot be separated from cultural, historical, and
social contexts in which they are situated (Wang, Bruce, & Hughes, 2011). This
paradigm looks at how social interaction and participation in organized activity play a
role in psychological development (Scott & Palinscar, 2009). According to Thompson
(2004), “African Americans in urban communities are socialized very differently from
Whites from middle-class communities” (p. 72). Research has shown that authoritarian
parenting practices used in low-income families correlate with lower levels of child
behavior problems. For example, Eamon (2002) conducted a two-year longitudinal study
with a sample of 963 participants between the ages 10 to 12 years old. Results showed
that poverty was strongly related to neighborhood problems more than parental and peer
influences. In addition, Eamon found that authoritarian parenting styles and the use of
physical punishment for kids living in poverty buffered anti-social behavior. Similarly,
Dearing (2004) conducted a longitudinal study in Massachusetts with three ethnic groups
AUTHORITARIAN AND AUTHORITATIVE COACHING
27
(i.e. African American, Latino American, and European American) living in an
underserved setting plagued by rape, robbery, burglary, larceny, and aggravated assault.
The purpose of the study was to examine how neighborhood characteristics moderated
associations between parenting and child outcomes. Results showed that
restrictive/controlling (authoritarian) parenting styles were a protective factor and had a
positive effect on academic performance for African American and Latino American
children, but had a negative effect on European American children. Furthermore, research
shows that minority parents living in dangerous and imp

5/5

Psychosocial Development of Junior Hockey Players : Psychosocial Development of Junior Hockey Players
Alexander John Sturges
Follow this and additional works at: https://researchrepository.wvu.edu/etd
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Psychosocial Development of Junior Hockey Players
Alexander John Sturges
Dissertation submitted
to the College of Physical Activity and Sport Sciences
at West Virginia University
in partial fulfillment of the requirements for the degree of
Doctor of Philosophy in
Sport & Exercise Psychology
Edward Etzel, Ed.D., Chair
Kristen Dieffenbach, Ph.D.
Larry Lauer, Ph.D.
Scott Barnicle, Ph.D.
Department of Sport & Exercise Psychology
Morgantown, West Virginia
2018
Keywords:
Psychosocial development; adolescence; elite sport development; athletic identity
Copyright 2018 Alexander John Sturges
ABSTRACT
Psychosocial Development of Junior Hockey Players
Alexander John Sturges
Junior hockey is an elite sport development model that impacts over twenty thousand adolescent
male athletes each year. Participation in junior hockey commonly requires adolescents, 16 to 21
years of age, to move away from home, disrupt academic plans, and participate in an intense elite
sport development model during critical developmental years. The influence of junior hockey on
long-term psychosocial development is widely unknown. The present research measured
developmental outcomes of college-enrolled former junior hockey player utilizing the Student
Development Task and Lifestyle Assessment (SDTLA) and the Athlete Identity Measurement
Scale (AIMS). Statistical analyses examined the impact of various measures of the junior hockey
experience on measures of athletic identity and psychosocial development, with comparisons
also being made to a representative population of male college students. Findings indicate junior
hockey’s potential contribution to increased measures of athletic identity as well as delays in
specific aspects of adolescent psychosocial development when compared to a normative
population of male college students. Recommendations are provided for junior hockey
shareholders towards improving the developmental outcomes associated with a junior hockey
experience.
iii

Table of Contents
Abstract ............................................................................................................................... ii
Introduction ..........................................................................................................................1
Statement of Purpose .................................................................................................6
Primary Research Questions ......................................................................................7
Hypotheses .................................................................................................................7
Methods................................................................................................................................8
Introduction ................................................................................................................8
Theoretical Orientation ..............................................................................................8
Previous Research ......................................................................................................9
Research Design.......................................................................................................10
Sample inclusion criteria.....................................................................................10
Sampling procedure ............................................................................................10
Electronic surveys ...............................................................................................12
Data collection procedures ..................................................................................12
Sample size .........................................................................................................13
Statistical Analyses ..................................................................................................13
Research question 1 variables .............................................................................14
Research question 1: Junior hockey and athletic identity ...................................14
Research question 2 variables .............................................................................15
Research question 2: Psychosocial development compared to normative population
................................................................................................................................15
Research question 3 variables .............................................................................15
Research question 3: Athletic identity and psychosocial development ..............15
Summary ..................................................................................................................16
Results ................................................................................................................................17
Data Preparation.......................................................................................................17
Overview of Data Analysis ......................................................................................18
Demographic Characteristics of the Participants .....................................................19
iv

Table 1: Number of participants by ethnicity .....................................................19
Table 2: Number of participants by age ..............................................................20
Table 3: Number of participants by class rank ...................................................20
Table 4: Number of participants by international student status ........................20
Table 5: Number of participants by current hockey status .................................21
Table 6: Number of participants by junior hockey years ....................................21
Table 7: Number of participants by number of JH teams played for ..................21
Table 8: Number of participants by school changes due to JH ...........................22
Table 9: Number of participants by residence changes due to JH ......................22
Table 10: Participant rating of “enjoyment” of junior hockey experience .........22
Table 11: Participant rating of “benefit” of junior hockey experience ...............23
Table 12: Descriptive statistics for participant AIMS scores .............................23
Table 13: Frequency distribution of participant AIMS scores............................23
Analysis of Research Question 1 .............................................................................23
Table 14: Bivariate correlation of AIMS and JH experience .............................24
Analysis of Research Question 2 .............................................................................24
Table 15: SDTLA subtask standard T scores by class ........................................25
Table 16: SDTLA task standard T scores by class .............................................26
Analysis: Research Question 3 ................................................................................26
Table 17: Multivariate analysis of the variance (AIMS and SDTLA)................26
Table 18: Test of between-subject effects ..........................................................26
Discussion .....................................................................................................................27
Introduction .........................................................................................................27
Research Question 1 Discussion .........................................................................28
Research Question 2 Discussion .........................................................................31
Academic autonomy subtask ........................................................................32
Instrumental autonomy subtask .....................................................................34
Salubrious lifestyle scale ................................................................................36
v

Research Question 3 Discussion .........................................................................39
Summary of findings...........................................................................................40
Recommendations ...............................................................................................41
Limitations ..........................................................................................................43
Future Directions ................................................................................................45
Conclusion ..........................................................................................................47
Appendix A: Extended Review of the Literature ..............................................................48
Junior Hockey ..........................................................................................................49
Introduction to Junior Hockey ............................................................................49
Junior hockey history .....................................................................................49
Fundamental Experiences ........................................................................................53
Athlete relocation ................................................................................................53
Academic disruptions..........................................................................................54
New primary support system ..............................................................................58
Junior hockey structure .......................................................................................58
Junior hockey player rights ............................................................................60
Junior Hockey Culture .............................................................................................62
Deviance .............................................................................................................63
Alcohol and Substance use .................................................................................64
Positive junior hockey outcomes ........................................................................65
Enjoyment ......................................................................................................65
Junior Hockey Development System .......................................................................66
Long-term athlete development ..........................................................................66
Youth sport.....................................................................................................68
Elite sport development .................................................................................69
Sport mastery .................................................................................................70
Relative age effect..........................................................................................71
Perceptions of junior hockey ..............................................................................73
vi

Summary of the Junior Hockey Experience ............................................................74
Adolescence .............................................................................................................76
Introduction to adolescence ................................................................................76
Problem behavior theory .....................................................................................78
Adolescent risk behaviors ...................................................................................79
Adolescent development .....................................................................................81
Athletic identity ..................................................................................................83
Adolescent transition ..........................................................................................84
Adolescent mobility ............................................................................................86
Educational mobility ......................................................................................88
Residential mobility .......................................................................................89
Homesickness ...........................................................................................90
Adolescent adjustment ...................................................................................91
Late adolescence .................................................................................................91
Developmental tasks ...........................................................................................93
Adolescent psychosocial development ...............................................................94
Psychosocial development in college .................................................................95
Non-traditional college students .........................................................................96
Student Development Task & Lifestyle Assessment ...............................................99
Uses of the SDTLA ...........................................................................................103
Athletic Identity Measurement Scale .....................................................................104
Uses of the AIMS..............................................................................................105
Research with the SDTLA and AIMS ...................................................................106
Summary ................................................................................................................107
Appendix B: Definition of Key Terms ............................................................................109
Appendix C: Basic Demographic Questions ...................................................................112
Appendix D: Athletic Identity Measurement Scale (AIMS) ...........................................114
Appendix E: Student Development Task and Lifestyle Assessment (SDTLA) ..............116
vii

Appendix F: Participant Cover Letter ..............................................................................142
Appendix G: Participant Recruitment Email Templates .................................................144
Appendix H: Participant Follow-up Email Templates.....................................................146
Appendix I: Academic Autonomy Subtask Questions ....................................................149
Appendix J: Instrumental Autonomy Subtask Questions ................................................151
Appendix K: Salubrious Lifestyle Scale Questions ........................................................153
References ........................................................................................................................156
Introduction
1
Junior hockey is an elite sport development system providing athletic opportunities for
over 20,000 participants annually. Selection to join a junior hockey team represents a watershed
moment in a player’s career, as they are following in the footsteps of the many thousands of
great professional players who taken the same path. The junior hockey system is widely
celebrated across Canada and the United States as it is viewed as a shaper of men, a molder of
professionals, and as a symbol of community prosperity and opportunity. However, despite its
prominent role in advancing the careers of talented hockey players, little is known about the
influence of this experience on adolescent psychosocial development. Junior hockey is unique
compared with other mainstream North American sports in that it systematically challenges
traditional academic, family, and social institutions. Furthermore, success in junior hockey is
measured primarily through athletic outcomes (e.g. achieving a college scholarship or being
drafted into the National Hockey League) and professionalized competitive forces hold
substantial influence over the structuring of the system and therefore the experience for
participants. Because of this, little attention is paid to the intricate process of adolescent
development taking place throughout and after the junior hockey experience. To date, research
on junior hockey has focused primarily on team and individual performance variables, and little
work has been done to consider the potential impact of junior hockey on athletes moving through
the system or transitioning to advanced developmental stages.
The modern junior hockey system is rooted in the growth and professionalization of
Canadian ice hockey throughout the 20th century (Kidd & MacFarlane, 1972). Junior hockey’s
earliest form involved regional sponsors hosting local senior league teams that would compete
for distinction across Canada and some Northern sections of the United States. Through the
initial years of organized ice hockey, teams were stocked with local talent and embraced the
2
ideology of amateur competition (viewing sport as leisure instead of a legitimate vocational
option). However, as the popularity of ice hockey grew, so did opportunities for money to be
made by sponsors, promoters, and organizers. The introduction of new revenue streams and
financial sponsorship led to private and community investments in larger, more spectator
friendly arenas, as well as the recruitment and payment of hockey talent brought in to help teams
win (Whitson & Gruneau, 2006). As the sport of ice hockey grew and elite professional leagues
began to organize, top franchises needed a system of identifying and developing young talent to
eventually play for their elite teams, and therefore began sponsoring junior organizations.
Conceived as a stepping stone to the pro ranks, junior hockey embodies characteristics of
professionalized sport, emphasizing performance and athletic advancement to serve the interests
of professional sport organizers. From small-town beginnings, junior hockey expanded
exponentially, evolving to ideally suit the needs of higher level programs making selections from
the junior hockey talent pool. Through this growth, junior hockey has become a major financial
and social institution, as well as a source of pride for many communities across the United States
and Canada.
The junior hockey landscape is diverse, involving over 600 registered teams in 60
different leagues. Although most leagues and teams are affiliated with national governing bodies
of sport for either Canada or the United States, very little oversight or standardized regulation
exists. Most of the operational and cultural norms of junior hockey are guided by traditions that
have been passed down through generations of the sport, making junior hockey a unique but
unifying experience for those who participate in the system. Despite diversity in locations,
competitive levels, and offered resources of junior hockey teams and leagues, four fundamental
components can be identified that encapsulate the lived experience for participants within the
3
junior hockey system. For the purposes of this study, these common factors have been
established to conceptualize junior hockey and its key developmental influences. The four
identified fundamental factors of junior hockey included: 1) athlete relocation, 2) new primary
support systems, 3) academic disruption, and 4) the professionalized nature of the junior hockey
environment.
First, the full-time relocation of junior hockey participants is a long-accepted practice of
junior hockey. Junior hockey relocation involves moving adolescents away from their immediate
families, established peer groups, and familiar community support systems, and placing them in
unfamiliar environments subject to forces of highly competitive sport. Advocates for junior
hockey have historically embraced the process of athlete relocation and see it as a benefit to the
cultural integration of the athlete to the sport (Mason, Duquette, & Sherer, 2005). However, the
impact of youth athlete relocation and the environments participants are being asked to integrate
into have not been critically examined. Junior hockey often represents an individual’s first
experience living away from home. While relocation has long been viewed as a necessary step
towards maturity, junior hockey’s lack of oversight, and inconsistent policy regarding relocation
and housing make this fundamental process worthy of further examination.
Second, physically relocating for junior hockey introduces personal challenges for
participants as they are introduced to new towns and teammates to which they have limited if any
social or emotional connection. This period of transition can have a range of behavioral and
developmental consequences, including the formation of a strong emotional attachment with
teammates, team personnel, and overall junior hockey culture (Finn & McKenna, 2010).
Traditionally, the process for relocating junior hockey players involves the assignment of billet,
4
or host families (local families willing to house junior hockey players, often compensated by the
team). Players live in their billet’s home, share meals and experiences, and even take
responsibility for chores and helping around the house. Familiarizing with a billet’s rules and
values can be a very impactful experience for junior hockey participants, especially because this
may be their first experience living away from their own families (Dubé & Schinke, 2008).
Junior hockey and its relocation practices have the potential to significantly impact an
individual’s development by means of exposure to unique social and interpersonal challenges.
The third feature of a junior hockey experience is the regular feature of academic
disruption. Junior hockey participation typically occurs during the transition between high school
and college. While many junior hockey players are required to maintain high school academic
progress, players who have completed high school may not be enrolled in any schooling at all.
While most current junior hockey teams and leagues encourage the continuation of academic
progress, no enforceable guidelines exist, and no public data is available regarding individual or
team academic progress. Furthermore, junior hockey requires a commitment to strenuous
training and competition schedules, often conflicting with classes and/ or participation in the
school environment (Koshan, 2004). Overall, the fundamental structure of junior hockey lacks
congruency with the academic goals and interests of participants, and long-term consequences of
this process remain widely unknown.
The fourth fundamental experience of junior hockey is the professionalized approach in
structuring this elite sport development system. Franchises and leagues are privately funded, and
their primary purpose is to serve the financial interests of management and ownership groups,
who yield substantial power and influence (Whitson & Gruneau, 2006). Teams are not required
to make long-term commitments to players, despite holding considerable control over their
hockey careers. Players can be cut or traded at any time based on subjective performance
5
standards, and franchises that fail to produce financial viability can fold or relocate, even after a
single season. This instability contributes to a competitive, high-pressure environment that is
found consistently throughout junior hockey’s varying levels. Overall, junior hockey’s
competitive structure, together with required relocation, and social and academic disruptions
represent four foundational factors that are found at all levels of junior hockey and have strong
developmental implications.
Junior hockey occurs during the developmentally dynamic stage of adolescence.
Adolescence is a period of intense change and identity exploration in which numerous
meaningful developmental challenges must be overcome (Steinberg & Morris, 2001). Along
with the challenge of establishing a stable and authentic sense of self-identity, adolescents also
must navigate social interactions of ever-increasing complexity and significance. Normative
adolescent development also calls for the healthy formation of career ambitions, ability to form
proper interpersonal relationships, and to solidify oneself as an autonomous feature of the
environment (Demos & Demos, 1969; Eccles et al., 1993). Taking into consideration the timing
and potential intrusiveness of the junior hockey experience, an established understanding of the
influence of junior hockey on adolescent development is crucial.
The transition from high school to college is a well-documented developmental process
that has a significant impact on the lifespan trajectory of individuals. Development within the
college environment is seen as constant, cumulative, and occurs on a continuum that can provide
insight as to potential developmental outcomes (Winston, Miller, & Cooper, 1999). Research in
this domain has identified specific developmental tasks associated with proper psychosocial
development. Chickering and Reisser’s (1993) seven developmental vectors (which include
developing competence, interdependence, mature interpersonal relationships, emotional
6
management, sense of purpose, and integrity) have played a major role in shaping the accepted
notion of appropriate college student development. The unique demands placed by junior hockey
on academic progress produces many non-traditional college students, a population known to
adapt differently to the college environment, and therefore may require specialized programming
and accommodations (Macari, 2003). Given the long-term developmental significance of the
college and university, factors that influence this experience are worthy of inquiry. Overall, the
presence of junior hockey in key transitional periods of adolescence, as well as its potential
influence on the transition to the college setting, emphasizes the importance of research on the
development of individuals participating in this system.
Statement of Purpose
The present study explored the psychosocial development of college-enrolled former
junior hockey players. The study also examined long-term developmental implications of junior
hockey and offers recommendations to improve programming and participant experiences.
Junior hockey is unique from other major sport development structures in North America in its
scale (over 20,000 annual participants) and its cultural norms, (e.g., expected participant
relocation) which actively disrupt sources of adolescent stability and support. Junior hockey’s
intense and professionalized system influences participants lives during a developmentally
sensitive period in which the formation of a stable and secure identity is a primary feature.
Furthermore, the role of junior hockey in normalizing the delay of college enrollment as well as
its potential influence on college selection may play a role in altering the college experience and
potentially in subsequent development. Overall, the present study examined the influence of
junior hockey on identity formation and subsequent psychosocial development in the college
7
setting.
Primary research questions
The following three research questions were developed to address the primary purpose of
the study and to guide the methodology:
1. What is the relationship between measures of junior hockey participation and measures of
athletic identity in college-enrolled former junior hockey players?
2. In what ways does junior hockey participation influence measures of psychosocial
development when compared to the normative sample population of male college
students?
3. Are measures of athletic identity predictive of measures of psychosocial development in a
population of college-enrolled former junior hockey players?
Hypotheses
The following represent the three primary research hypotheses, although methodology tested
null hypotheses.
1. Measurements of junior hockey participation are related to measurements of athletic
identity in college-enrolled former junior hockey players.
2. Junior hockey participation influences measurements of psychosocial development when
compared to a normative sample population of college students.
3. Measurements of athletic identity are predictive of measurements of psychosocial
development in college-enrolled former junior hockey players.
Methods
8
Introduction
The selected methodology examined the relationship between the junior hockey
experience and developmental processes in a sample of college-aged, former junior hockey
participants utilizing the collection and analysis of data from validated measurements of athletic
identity and psychosocial development. Two primary measurement instruments were featured:
The Athletic Identity Measurement Scale (Brewer, Van Raalte & Linder, 1993) to measure
participant athletic identity, and the Student Development Task and Lifestyle Assessment
(Winston, Miller, & Cooper, 1999) to measure aspects of psychosocial development within the
college setting. The following chapter outlines the selected research parameters and methods of
statistical analysis applied to address the primary research questions pertaining to the
developmental impact of junior hockey. Theoretical underpinnings, data collection procedures,
and aspects of research integrity are also discussed.
Theoretical Orientation
The present research adopted a positivist theoretical stance. A positivist perspective aims
to test a theory or describe a unique experience through observation and measurement to
establish the ability to predict and/ or control a phenomenon (Campbell & Stanley, 1963;
Mackenzie & Knipe, 2006). A positivist perspective also assumes that observable phenomena are
knowable through empirical and reductionist scientific inquiry, and that methodology should be
constructed with precision and detail so that experimental conditions can be replicated by other
researchers (O’Leary, 2004). Concepts of psychosocial development and athletic identity have
generally agreed upon definitions previously established through the literature. However,
concrete understanding of these topics is an ongoing and fluid process, as evidenced by the
9
varied theoretical positions and continued empirical work expanding to new and emerging
contexts (Shutte & McNeil, 2015; Gucciardi, 2017; Hardy et al., 2017). The present research
contributes to the literature by focusing on a specific realm of elite sport development system
(junior hockey) and its potential impact on aspects of adolescent psychosocial development.
Previous Research
A pilot study utilizing an electronic version of the SDTLA on a sample of college
enrolled former junior hockey players was conducted by the principal investigator, testing the
appropriateness of this methodology. SDTLA and demographic data was collected from a
convenience sample of 45 male college students with varying levels of junior hockey experience.
Participant scores were compared to the normative population of male college students on each
developmental task. Results showed that standard scores produced by former junior hockey
players were significantly lower on tasks of developing mature interpersonal relationships and
establishing autonomy. Results were consistent with developmental principles proposed by
Chickering and Reisser (1993) that college students display psychosocial development through
time spent in college (scores for freshman were typically lower than seniors). Furthermore, the
pilot study results suggested that junior hockey has a potential impact on former participants’
ability to successfully transition and display appropriate psychosocial development in the college
setting. Results of the pilot study generally supported the need for more research on the topic of
psychosocial development on this population.
Research Design
The present study utilized a descriptive, correlational research design to address the
10
research questions. Descriptive correlational design refers to research in which the size and
direction of a relationship between variables is observed, however no direct attempt is made to
control for or randomize participant experience (Shadish, Cook & Campbell, 2002). Descriptive
correlational research evaluates connections between various behavioral outcomes and
illuminates potential paths of inquiry that may provide a deeper understanding of the observed
phenomenon (Lappe, 2000). Correlational designs are well-suited for studies that apply validated
measures to novel contexts, especially when the observed behaviors are social and exploratory in
nature. Furthermore, descriptive data collection can help formulate new research questions or
guide future research (Anderson, 1998).
Sample inclusion criteria. College-enrolled males with experience playing junior hockey,
whether they are still competing in the sport or not, were eligible to participate. The construct of
junior hockey experience was defined (for this study) as time spent within any level of junior
hockey for any duration of time. Participants were required to be currently enrolled in a college
or university continuously for at least four weeks to ensure adequate acclimation to the
environment (Winston, Cooper, Miller, 1999). Participants also had to be at least 18 years of age.
No additional participant exclusion criteria regarding race, ethnicity, or nationality were featured.
Sampling procedure. The present study utilized non-probability purposive sampling. Purposive
sampling, the deliberate choice of participants based on inherent characteristics, best meets the
goals of the study in understanding a specific population through a theoretical framework
(Tongco, 2007). Presently, no collective database of former junior hockey players exists, and
therefore purposive sampling allows for data to be collected from the desired population in a
timely manner (Battaglia, 2008).
Participant contact information was accessed by networking with hockey shareholders
11
willing to provide contact information of potential participants. Current and former junior and
collegiate hockey coaches/ organizers were contacted through email and phone to discuss
possible inclusion of former junior hockey player contacts. Snowball sampling was also used in
limited cases in which participants were willing to connect other individuals within their network
to the research study (Goodman, 1961). Electronic correspondence in the form of email was
established directly with potential participants, or indirectly through a coach/ organizer. This
initial contact was followed by delivery of an anonymous and unique access code for the testing
instrument (See Appendix F, G, & H for email correspondence templates). One initial email, and
two follow-up emails were distributed individually to all participants to maximize survey
completion (McPeake, Batterson & O’Neill, 2014).
Limitations to this method of participant recruitment included: a) potential selection bias
(Ahern, 2005) towards successful junior hockey players (indicated by actualized opportunities to
continue competing after junior hockey), b) surveying of a potentially non-representative sample
(Jones, Murphy & Edwards, 2008) through exclusion of junior hockey participants who do not
continue on to college, c) non-randomized participant sampling (Reeves, Deeks, Higgins &
Wells, 2008) and d) potential for lower response rates (Robson, 2011) due to the format of the
survey instrument. To counteract bias and establish trustworthiness, connections were
established with as large and diverse a population of former junior hockey participants as
possible, and specific inclusion/ exclusion criteria were followed to increase the generalizability
of findings (McPeake, Batterson & O’Neill, 2014; Higgins et al., 2013; Hopkins, Marshall,
Batterham & Hannin, 2008).
12
Electronic surveys. Electronic surveys were utilized for data collection. Online surveys can be
an effective data collection tool that yield meaningful responses regarding a phenomenon within
a specific target population with near universal internet access (Crawford, Couper & Lamias,
2001; Aldridge & Levine, 2001; Creswell, 2003). Electronic surveying has been found to be a
reliable and efficient way to reach a large proportion of the sample population and is considered
a valid form of data collection (Schleyer & Forest, 2000). For the present study, use of electronic
surveying allowed for the most convenient data collection procedure, reaching the maximum
possible sample population.
Both the SDTLA and the AIMS are approved and validated for use in electronic form by
their authors (Winston, Milller & Cooper, 1999; Brewer, Van Raalte & Linder, 1993).
Furthermore, both the SDTLA and AIMS have been successfully utilized in online versions in
research settings with similarly aged populations (Coe-Meade, 2015; Turton, Goodwin, &
Mayer, 2017; Wisdom, 2006). Benefits of employing these measures in an online format include
ordered presentation of questions, reduction of non-responses, increased convenience for
participants, lower cost, and faster data analysis (Aldridge & Levine, 2001; Granello & Wheaton,
2004).
Data collection procedures. Prior to data collection, approval was obtained from the West
Virginia University Institutional Review Board for the Protection of Human Subjects to ensure
ethical protection of all participants. Study procedures, outline of participant rights, and informed
consent were presented to participants for approval prior to accessing the survey instrument. The
full survey instrument (see Appendices B, C, & D) was administered to participants utilizing the
Qualtrics software platform (Qualtrics, Provo, UT). Each participant received a unique and
anonymous link to the instrument that was accessed at their convenience. All possible efforts
13
were made to ensure confidentiality and minimize collection of identifying information through
the survey instrument, and no identifying information as included in data analysis proceedings.
Data was secured and accessible through one password protected account, only accessible to the
researcher. Downloaded data sets were stored on a password protected computer.
Sample size. Data collection remained open until desired sample size was reached. Estimates
utilizing the GPower software suite (Faul, Erdfelder, Lang & Buchner, 2007) indicated that for a
low-to-medium effect size, with power set at .95, and a .05 Pearson’s coefficient, that
approximately 210 participant responses would be required to obtain significant results. Desired
sample size has further been determined through recommendations from similar studies as well
as parameters in the literature regarding appropriate sampling procedures (Bartlett, Kotrlik &
Higgins, 2001).
Statistical Analyses
Statistical analysis of the data was conducted in three separate steps and addressed each
research question individually. All data analyses were conducted through the SPSS statistical
software suite (SPSS Inc.) and Microsoft Excel. First, participant scores on the AIMS and
SDTLA were calculated as defined by official assessment manuals and published data
calculation procedures. Prior to conducting any statistical analyses, the data set was examined for
missing/ incomplete responses, and multicollinearity (Schroeder, Lander & Levine-Silverman,
1990). Cook’s distance measure was conducted to test for and remove unduly influential outliers
in the data set. In addition, SDTLA task and subtask data missing more than 12% of responses
were not included in the data analysis, as recommended by the authors (Winston, Miller, &
Cooper 1999). AIMS measures missing any of the seven question responses were also excluded
(Brewer, Van Raalte & Linder, 1993). Participant total scores on the AIMS were reflected by a
14
cumulative score of the seven answered questions, ranging from a minimum of 7 to a maximum
of 49. Scores on each of the SDTLA’s five tasks/scales were converted to standard scores,
allowing individual scores to be compared to the normative population.
Research question 1 variables. Research question one examined the relationship between junior
hockey experience and athletic identity. To address this question, two demographic variables and
two questions related to perceived enjoyment and benefit of the junior hockey experience were
collected through the survey instrument and served as independent variables. The four
independent variables included: a) number of years of junior hockey participation, b) number of
junior hockey teams played for, c) “I enjoyed my junior hockey experience”, and d) “junior
hockey was beneficial to my college experience”. The two questions regarding perceived
enjoyment and benefit of the junior hockey experience were scored on five-point Likert scales.
The dependent variable was represented by cumulative athletic identity scores assessed by the
AIMS, ranging from 7 to 49 (Brewer, Van Raalte & Linder, 1993).
Research question 1: Junior hockey experience and athletic identity. Research question one
addressed the relationship between measures of junior hockey participation and the athletic
identity measurement scale (Brewer, Van Raalte & Linder, 1993). Junior hockey experience was
measured by four variables; number of years played, number of teams played for, and rating of
perceived enjoyment and benefit. Pearson product correlation coefficient, r, was calculated to
determine the relationship between two key demographic variables (i.e., years in junior hockey
and number of teams played for) and athletic identity. Bivariate correlations are used to assess
the degree of relationship between two continuous variables (Tabachnick & Fidell, 2001).
Results of this test are intended to assess the relationship between athletic identity and factors
associated with junior hockey experience, including years played, and number of teams played
15
for, and ratings of perceived enjoyment and benefit.
Research question 2 variables. Research question two examined the relationship between
college-aged former junior hockey players and non-junior hockey playing college students on
measures of psychosocial development through the SDTLA (Winston, Cooper, & Miller, 1999).
Comparisons were drawn between former junior hockey players and a normative population of
male college students categorized by academic class standing. Between each academic class
standing (freshman, sophomore, junior, and senior), four developmental measures of
psychosocial development were assessed. The four SDTLA tasks/ scales included; a) academic
autonomy, b) mature interpersonal relationships, c) clarifying sense of purpose, d) salubrious
lifestyle scale.
Research question 2: Psychosocial development compared to normative population.
Research question two examined the relationship between psychosocial development in former
junior hockey players in comparison to normative scores for male college students. Participant
SDTLA data was stratified based on academic class standing to allow for comparison to
normative data. Comparisons of converted T-scores were conducted between participant SDTLA
task and subtask scores with normative sample population scores provided by the authors. This
comparison determined if mean score on specific tasks for the research sample were significantly
different than established norms for male college students (Tambachnick & Fidell, 2001).
Research question 3 variables. Research question three examined the relationship between
psychosocial development and levels of athletic identity in former junior hockey players. To
address this question, participants were stratified according to their AIMS scores into low,
medium, and high athletic identity groups. The middle group was formed based on +/- 0.5
16
standard deviation from the sample mean. High athletic identity was represented by scores more
than 0.5 standard deviations above the sample mean, and low athletic identity was represented by
scores more than .05 standard deviations below the sample mean. The research question was
addressed by comparing the stratified groups of athletic identity (measured through the AIMS),
with participant aggregate scores on the Student Development Task & Lifestyle Assessment
(SDTLA) for the established primary developmental tasks.
Research question 3: Athletic identity and psychosocial development. Participants were
stratified according to their AIMS scores into low, medium, and high athletic identity groups.
The middle group was formed based on +/- 0.5 standard deviation from the sample mean. High
athletic identity was characterized by scores more than 0.5 standard deviations above the sample
mean, and low athletic identity was characterized by less than scores more than .05 standard
deviations below the sample mean. The stratified groups of AIMS scores were used as
independent variables and run in a one-way Multivariate Analysis of Variance (MANOVA),
testing mean differences between athletic identity and the four scales/ task measures of the
SDTLA (Tabachnick & Fidell, 2001). This test explored the predictive value of athletic identity
scores and specific aspects of psychosocial development in college-enrolled former junior
hockey players.
Summary
The present methodology was determined to be the best means to address the primary research
questions based on a thorough empirical review of the literature. The methodology addressed the
examined relationships between junior hockey experience, athletic identity, and psychosocial
development in a college-aged population. The sample population was defined as college
enrolled former junior hockey players, having been in college for at least four weeks. The
electronic survey instrument for this study included demographic questions, the AIMS, and the
17
SDTLA. Data analyses was conducted to make comparisons between the data sets and to address
the three primary research questions outlined previously. Responsible and ethical research
practices were observed as defined by the Institutional Review Board, and participant rights to
confidentiality were enforced throughout the data collection and analysis process.
Results
Data Preparation
Data collection conducted through the Qualtrics online platform was closed when pre
determined sampling thresholds were reached. From a potential audience size of 563
participants, 344 participants accessed the survey and 258 surveys were submitted (75%
completion rate for surveys opened by participants). Collected data was converted and
downloaded through Qualtrics to SPSS v.25 for analysis. All remaining identifying information
was removed from the data set in preparation for analysis. In addition, score adjustments for
individual items were entered according to the published SDTLA scoring key before scale,
subtask, and task scores were calculated.
Following a preliminary review of participant data, specific factors were determined to be
grounds for removing cases from the data set. Total sample size progressed through three
adjustments based on the requirements of each of the three research questions. For research
question one, participants were removed if they did not indicate having any junior hockey
experience (based on years played or teams played for). Graduate students (N=10) were also
removed from the sample prior to analysis. A final exclusion criterion implemented prior to
analysis for research question one involved the SDTLA response bias scale. The SDTLA
includes a six-item response bias scale within the instrument, through which the authors
recommend removal of participant scores on this scale equal to or exceeding 3 of a possible 6
18
(Winston, Miller, & Cooper, 1999). Although research question one did not involve the SDTLA
instrument, the indication of a high participant social desirability rating was determined to be a
threat to AIMS and demographic measurements, both administered at the same time as the
SDTLA. Analysis for research question one included N=215 participants.
The data set from research question one was established then adjusted in preparation for
analysis with research question two. Exclusion criteria for this question included participant
responses that fell below 75% completion due to their inability to provide complete SDTLA task
or subtask scores. Although the authors of the SDTLA provide instructions for customized
scoring of assessments with missing data, it was determined that all participants would be scored
the same. If a participant’s subtask or subsequent task score was incomplete, that measure was
excluded in the final analysis. Surveys with 75%-100% completion were retained for analysis
only on task/ subtasks where all required items were completed, and scores were able to be
calculated. Analysis for research question two included N=203 participants.
One final exclusion criterium was utilized for research question three. Incomplete
participant responses (below 100%) were not included in the MANOVA analysis, which reduced
the sample to N=199 participants.
Overview of Data Analysis
The purpose of the study was to investigate the impact of junior hockey participation on
identity formation and psychosocial development in a population of college-enrolled former
junior hockey players. Research question one was examined by running bivariate correlations
between junior hockey experience (as measured by years of junior hockey played, number of
junior hockey teams played for, and personal ratings of enjoyment and benefit) and athletic
19
identity (as measured by the seven item AIMS). Research question two was addressed by
comparing differences on standardized scores between former junior hockey players and the
norm sample population on task and subtask measures of the SDTLA. Research question three
was addressed through mean score comparisons of task measures of psychosocial development
through the SDTLA and athletic identity scores as measured by the AIMS.
The following results are presented in this chapter: (a) description of participants, (b)
description of AIMS scores, (c) description of SDTLA task and subtask scores, and (d) the
results of a one-way multivariate analysis of variance (MANOVA).
Demographic Characteristics of the Participants
The utilized sample population was comprised of 215 college-enrolled former junior
hockey players. All participants were male and over the age of 18. The average participant was
22 years old. Demographic summaries of ethnicity, age, class rank, and international status are
provided in tables 1-4.
Table 1
Number of Participants by Ethnicity
Ethnicity Label
White
Black
American Indian or Alaskan Native
Asian
Native Hawaiian or Pacific Islander
Hispanic
RQ1
207
1
0
5
1
1
RQ2
196
0
0
5
1
1
RQ3
192
0
0
5
1
1
Totals (N)
215
203
199
20

Table 2

Number of Participants by Age

Age RQ1 RQ2 RQ3
19 5 4 4
20 29 27 27
21 43 41 39
22 57 55 54
23 41 39 38
24 24 23 23
25 9 8 8
26 1 1 1
27 1 1 1
Totals (N) 215 203 199
Mean age = 22
*Five participants did not register age information

Table 3


Number of Participants by Class Rank
Class Rank RQ1 RQ2 RQ3
Freshman 42 40 38
Sophomore 57 51 51
Junior 61 59 58
Senior 55 53 52
Totals (N) 215 203 199

Table 4

Number of Participants by International Student Status
Classification RQ1 RQ2 RQ3
International Student 36 35 35
Not International Student 179 168 164
Totals (N) 215 203 199

Hockey Experience. Demographic information pertaining to experience within the sport
of hockey was measured through self-reported current hockey status (level of participation),
number of years spent playing junior hockey, number of junior hockey teams played for, number
of school changes due to junior hockey, and number of residence changes due to junior hockey.
21

Two additional questions were included regarding participant perception of enjoyment and
benefits of their junior hockey experience (“I enjoyed my junior hockey experience”, and “junior
hockey was beneficial to my college experience”). These questions were scored on five-point
Likert scales ranging from “strongly disagree” to “strongly agree”. Frequency and mean scores
for these questions are provided in Tables 5-11.
Table 5

Number of Participants by “Current Hockey Status”
Status RQ1 RQ2 RQ3
Competing in college (NCAA/ CCAA level) 114 113 112
Competing in college (Club level) 94 84 82
Participating in college (rec./ intramural) 3 2 1
Not participating in hockey 4 4 4
Totals (N) 215 203 199

Table 6

Number of Participants by “Junior Hockey Years”
Years RQ1 RQ2 RQ3
0-1 22 19 19
1-2 74 71 69
2-3 54 49 49
3-4 42 41 39
4-5 23 23 23
Totals (N) 215 203 199
Mean years = 2.9

Table 7

Number of Participants by “Number of JH Teams Played For”
Teams RQ1 RQ2 RQ3
1 76 71 70
2 64 60 60
3 38 36 34
4 20 20 20
5 17 16 15
Totals (N) 215 203 199
Mean number of teams = 2
22


Table 8


Number of Participants by “School Changes Due to JH”
Changes RQ1 RQ2 RQ3
0 7 6 6
1 97 92 91
2 64 61 60
3 24 23 23
4 18 16 14
5 5 5 5
Totals (N) 215 203 199
Mean school changes = 1.8

Table 9


Number of Participants by “Residence Changes Due to JH”
School Changes RQ1 RQ2 RQ3
0 1 1 1
1 51 47 46
2 38 36 36
3 44 42 42
4 37 34 33
5 44 43 41
Totals (N) 215 203 199
Mean residence changes =2.9

Table 10


Participant Rating of “Enjoyment” of Junior Hockey Experience
RQ1 RQ2 RQ3
Strongly disagree 2 2 1
Somewhat disagree 5 5 5
Neither agree nor disagree 10 9 9
Somewhat agree 55 49 48
Strongly agree 143 138 136
Totals (N) 215 203 199

Table 11

Participant Rating of “Benefit” of Junior Hockey Experience
RQ1 RQ2 RQ3
23

Strongly disagree 2 2 1
Somewhat disagree 5 4 4
Neither agree nor disagree 17 15 15
Somewhat agree 44 43 42
Strongly agree 147 139 137
Totals (N) 215 203 199

Participant frequency scores and descriptive statistics for the AIMS are provided in
Tables 12-13.

Table 12

Descriptive Statistics for Participant AIMS Scores
N Min Max Mean SD
RQ1 215 18 49 40 5.4
RQ2 203 18 49 40 5.4
RQ3 199 21 49 40 5.2

Table 13

Frequency Distribution of Participant AIMS Scores
AIMS Score RQ1 RQ2 RQ3
18-21 2 2 1
22-25 1 1 1
26-29 8 6 6
30-33 18 13 13
34-37 32 28 27
38-41 76 61 60
42-45 65 60 59
46-49 37 32 32
Totals (N) 215 203 199

Analysis: Research Question One
Research question one addressed the relationship between the athletic identify (measured
by the AIMS) and junior hockey experience (measured by years spent in junior hockey, number
of teams played for, and personal perception of benefit and enjoyment of the experience).
Because junior hockey experience was a requirement for participation in this study, the lowest
value for participation was one year (i.e., participant years included time spent up to or equaling
that number). Significant positive correlations were observed between AIMS score and the
24
variables representing time, perceived enjoyment, and perceived benefit. Bi-variate correlation
results are presented in Table 14.
Table 14
Bivariate Correlation: AIMS and Junior Hockey Experience
Time (years)
AIMS
.2*
Pearson
Correlation
Sig. (2-tailed)
Sum of Squares
and Cross
products
.004*
260.2
# of teams
“Enjoyable”
.083
.228
117.7
.2*
.003*
176.1
“Beneficial”
.18*
.009*
166
N = 215
Significance marked at the .05 level.
Analysis: Research Question Two
Data collected for the SDTLA was sorted by current academic standing and then
converted into standard scores according to the published scoring instrument provided by the
SDTLA authors. Means and standard deviations derived from the normative sample population
were used to compute individual standard T scores for each participant for each sub-scale and
scale of the SDTLA. The purpose of converting participant raw scores to T scores was for
comparison to the normative sample population, represented as 50 for each category. Participant
scores .5 standard deviations above or below the published norm (+/- 5) are considered
significant findings according to the SDTLA technical manual (Winston, Brewer, & Cooper,
1999). Average scores for each academic class standing are presented below (See Table 15).
Analyses revealed significant differences between the sample population and the norm in
two subtask categories and on the Salubrious Lifestyle Scale. On the Academic Autonomy
subtask, sophomores, juniors, and seniors scored below the published norms. For the
25
Instrumental Autonomy subtask, scores for sophomores also fell below the expected range, while
scores for the other three class ranks neared falling significantly below. Both subtasks containing
significantly lower participant scores fell within the Developing Autonomy Task.
Table 15
SDTLA Subtask Standard T Scores by Class
Class Career
Purpose
Tolerance
Peer
Relationships
Lifestyle
Planning
Cultural
Participation
Educational
Involvement
Academic
Autonomy
Interdepende
nce
Instrumental
Autonomy
Emotional
Autonomy
FR 48.1 51.4 46.5 49.1 54.8 45.2 46.4 48.8 45.3 50.9
SO 46.3 47.1 46.7 46.4 53.9 46.3 43.9* 48.9 44.3* 48.3
JU 46.5 49.7 46.3 50.0 52.1 45.7 43.4* 49.1 45.1 52.0
SR 46.1 50.6 46.0 47.2 53.4 48.2 44.5* 47.7 45.7 51.7
* Indicates score >.5 +/- standard deviations from the normative sample
Significant differences were also found in the Salubrious Lifestyle Scale, one of the
instruments primary measurements (See Table 16). Cumulative scores from Freshman and
Seniors on this measure fell below the expected range.
Table 16
SDTLA Task Standard T Scores by Class
Class
FR
SO
JU
SR
Salubrious Lifestyle
Scale
43.1*
48.2
48.3
44.7*
Establishing and
Clarifying Purpose Task
47.9
47.7
46.9
48.1
Mature Interpersonal
Relationships Task
50.1
45.8
49.6
48.2
Developing Autonomy
Task
47.3
45.9
47.3
47.1
* Indicates score >.5 +/- standard deviations from the normative sample
26

Analysis: Research Question Three
AIMS scores were categorized to “high”, “medium” and “low” according to +/- 0.5
standard deviation from the mean to test variance of the SDTLA model in relation to athletic
identity. Table 17 shows the results of the one-way MANOVA conducted. Wilks’ Lambda and F
values were not found to be significant. A subsequent between-subjects test of the AIMS
categories and the SDTLA tasks did not yield significant values. F scores for the Clarifying
Purpose and Salubrious Lifestyle Scale neared significance (See Table 18). However, these
findings were not maintained when controlling for differences attributed to class rank within the
model.
Table 17

Multivariate Analysis of the Variance (AIMS and SDTLA)
Value F df Error Sig. Power
AIMS
Rank
Wilks'
Lambda
.96 1.2 8 386 .39 .5
N=199

Table 18
Test of Between-Subject Effects
DV SS df F Sig. Power
AIMS AUT 23.9 2 .514 .599 .13
SAL 153.1 2 1.617 .201 .34
PUR 392.9 2 3.25* .041* .62
MIR 10.7 2 .420 .658 .12
N=199



Discussion
27
Introduction
Junior hockey is an influential sport development system that impacts thousands of
adolescent hockey players prior to their developmental transition to college and early adulthood.
Despite the size of this system (approximately 20,000 annual participants in 250 teams in 40
leagues across North America), very little work has been done to understand the effect of a
junior hockey experience on participants. Unique from other sport development models, junior
hockey embraces a series of non-traditional organizational norms, including the requirement of
participants to move away from home, change schools, and alter educational trajectory. Thus, the
purpose of the present research was to better understand developmental outcomes of a junior
hockey experience through measurements of athletic identity and psychosocial development in a
population of college-enrolled former junior hockey players.
Research Question One Discussion
Research question one hypothesized that the junior hockey experience would influence
the amount of athletic identity reported by former junior hockey participants. Junior hockey
experience was represented by time spent (in years) within the system, number of teams played
for, as well as personal reflection on enjoyment and benefits of the junior hockey experience.
The hypothesis was partially supported, as significant positive correlations were found in self
reported “time spent” (r = .2), ratings of personal enjoyment (r = .2), and ratings of perceived
benefit of junior hockey (r = .18) yielded a significant correlation of at the .01 level. Number of
teams played for was not significantly correlated with scoring on the AIMS. These findings
indicated that more time spent in junior hockey is associated with the greate

5/5

Coaching life skills through sport: An application of the teaching personal and social responsibility model to youth sport in eSwatini : Coaching life skills through sport: An application of the teaching personal and social responsibility model to youth sport in eSwatini
Zenzi Huysmans
zehuysmans@mix.wvu.edu
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Coaching life skills through sport: An application of the teaching personal and social
responsibility model to youth sport in eSwatini
Zenzi Huysmans, M.S.
Dissertation submitted
to the College of Physical Activity and Sport Sciences
at West Virginia University
in partial fulfillment of the requirements for the degree of
Doctorate of Philosophy in Kinesiology with a Major in Sport, Exercise, and Performance
Psychology
Sport and Exercise Psychology
Damien Clement, Ph.D., Chair
Sam Zizzi, Ed.D.
Christiaan Abildso, Ph.D., MPH
Meredith Whitley Ph.D., Adelphi University
Department of Sport Sciences
Morgantown, West Virginia
2018
Keywords: youth development, life skills, coaching, teaching personal and social responsibility
model, eSwatini
Copyright 2018 Zenzi Huysmans
Abstract
Coaching life skills through sport: An application of the teaching personal and social
responsibility model to youth sport in eSwatini
Zenzi Huysmans
Adolescence is a formative developmental period where youth learn the life skills and values
needed to become compassionate and civically-engaged young people and navigate increasingly
challenging global environments. Youth in eSwatini face major context-specific challenges that
impede their healthy development as well as limited engagement with government initiatives
intended to support their development. This feasibility study aimed to employ youth sport as a
creative and engaging context to facilitate life skills development in underprivileged youth in
eSwatini. Specifically, this study explored the youth participation experiences, positive youth
outcomes, and implementation successes and challenges of a sport program for underprivileged
youth in a community in eSwatini. The sport program was designed using the teaching personal
and social responsibility (TPSR) model, which is a well-established instructional model for life
skills education through sport. Although this model had been widely applied in Western
contexts, the current study explored how the model might operate differently in a non-Western
context where youth face different developmental challenges. An intervention design was
employed to implement a three-week sport program for youth in a small community in the
Lobamba region of eSwatini. Local coaches were the primary implementers of the program and
participants were youth (N=33), aged 11-15 years old, who attended the grade six and seven
literacy development afternoon club at a community-based children’s organization. Findings
from the current feasibility study provided further support for the value of using the TPSR
framework in the design and implementation of sport-based life skills education programming in
a novel youth context in eSwatini. The focus of the model on building caring coach-youth
relationships, creating an enjoyable sport experience, fostering small successes, and providing
intentional opportunities for youth to actively practice and engage in their own learning were the
most meaningful elements of the model in the current youth context. The developmental
outcomes and changes in life skills associated with participation in the current program may also
be highly pertinent to helping youth navigate the most salient health and resource challenges in
the community. Notably, the current study also identified culture and context-specific
considerations that should be made when implementing TPSR-based youth programming in
eSwatini. These included, but are not limited to, adaptations to the awareness talk and self
reflection time, the use of active learning strategies and behavioral management techniques, and
the provision of fruit and food to meet basic survival needs. Continued future explorations of the
program design elements and coaching strategies that most meaningfully contribute to a holistic
youth development and a positive sport participation experience in eSwatini is warranted.
Acknowledgements
iii
Traveler, the path is your tracks
And nothing more
Traveler, there is no path
The path is made by walking - Antonio Machado –
It takes a village to raise a child and I have had so many supporting hands help me get to this
point. To the family, friends, and community in eSwatini who believed in me from the very
beginning, “I am because we are”. What a beautiful thing to have been shaped by so many kind
hearts over the years. Siyabonga kakhulu!
To the children of the Moya Center, the staff, and the coaches who helped me bring this
dissertation to life. It was an immense privilege to develop this program alongside you all. You
are the reason why I do what I do. To the community members, key informants, coaches, and
students who participated in the needs assessment that grounded this dissertation, thank you!
Your voices are present in every chapter of this dissertation story!
To my wonderful SEP colleagues. As the African proverb says, “If you want to go fast, go alone,
if you want to go far, go together.” We have journeyed far together…and what an adventure it
has been! Over the years we have shared so many moments of laughter and joy, and also
experiences of sadness and challenge. In those difficult times, your support and kindness have
meant everything to me. I will cherish both; the deep belly laughter and also the compassion you
have shown me! Thank you! Matt and Tammy…not all heroes wear capes! Thank you for
investing yourselves so fully in the coding process of my dissertation. Your enthusiasm and
dedication to my work was a beautiful thing to witness.
To the SEP and Counseling faculty members and my dissertation committee. I have been lucky
to grow both personally and professionally under the wings of such compassionate, dedicated,
and pioneering people. Dr. Clement: over the years you have pushed me to become the best
possible version of me. You have supported my independence while also reaching out a helping
hand when I needed it. Dr. Zizzi: You have helped me trust my way of being and enjoy the
journey as it unfolds. Your kindness has been so appreciated. Dr. Etzel: it has meant more than
you know to journey around the world with you through our chats about music, books, recipes,
and life experiences. Thank you for trusting and nurturing my vision for consulting when I was
still searching for my professional identity. Dr. Whitley: You have dedicated your life’s work to
using sport as a platform for the positive and holistic development of youth all over the world.
Your passion and work ethic is truly an inspiration. I hope to emulate that in my own
professional journey. Dr. Abildso: Thank you for taking a leap with me. I look forward to
continuing to explore the intersection of sport and community-based public health programming
under your mentorship.
To my dearest friends, you are my heart and soul connections for life! The greatest gifts of life
are friendships, and I have been blessed with some truly beautiful ones. See you in eSwatini one
day! Killeen, it’s hard to describe how you have impacted my life. In some of my most difficult
iv
moments of challenge, you were an unwavering presence. You give to everyone around you so
selflessly. I feel privileged to have shared this chapter with you, to have watched your continued
growth into a strong, compassionate, and balanced woman. Aaron. Morgantown will always be
synonymous with you. Your way with people is something that will stick with me. You have an
incredible ability to connect with others and make everyone you meet feel valued. Thank you for
giving me a space to share the contents of my heart. Sofia, in you I have found a kindred spirit. A
playful, optimistic, and deeply values-oriented soul. Thank you for the light you have brought to
my life! Jay. Your determination and resilience have been pillars for me. Challenge upon
challenge has been thrown your way and you have stepped up to the plate every time. Please
know that even when you feel alone in those experiences, you are shaping the lives of those who
are watching your fighting spirit. Thank you for all the laughter and roasts. I have met my
match…but never underestimate the slow roast!  Bobby. We have truly adventured far and
wide together…through the depths of some personal sorrows, through the dark but also beautiful
caves of consulting and counseling internship, all the way to the humor and authentic connection
that characterizes our friendship. Thank you! August…our journey did not go the direction we
imagined it. But you were my pillar and biggest supporter for a very long time. Thank you for
growing with me and loving me. I will forever cherish the depth of the love we shared.
Most of all, thank you to my family, klavertje vier – AZRA – for showing me how to put love,
kindness, and compassion at the center of all things. To my sister, Aissa…my moon spirit…my
life companion – for journeying through life with me and showing me what the purest form of
love feels like. “Both sun and moon blissfully call the tune. The one at midnight, the other at
noon.” Rolf Huysmans. “You are imperfect, you are wired for struggle, but you are worthy of
love and belonging.” Brené Brown. To my mammsy, Ann…my pillar of strength – for
grounding me so firmly in optimism, kindness, and determination. “The way we talk to our
children becomes their inner voice.” Peggy O’Mara. To my wonderful dad, Rolfinho – your
presence is eternally missed. Not a day goes by that I don’t reflect on how incredibly fortunate I
was to have your light of integrity, beauty, and vision guiding me. You were truly an exceptional
human. You and mammsy showed me what love really means…when it is unconditional, when it
is reflected in our everyday choices of how we treat others. Merci beaucoup!
Quand on n’a que l’amour
Pour unique raison
Pour unique chanson
Et unique secours…
Quand on n’a que l’amour
Pour tracer un chemin
Et forcer le destin
A chaque carrefour…
Alors sans avoir rien
Que la force d’aimer
Nous aurons dans nos mains
Amis le monde entire. - Jacques Brel –
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI v

Table of Contents
Chapter 1: Introduction ................................................................................................................... 1
Chapter 2: Methods ....................................................................................................................... 11
Paradigm .................................................................................................................................... 11
Positionality ............................................................................................................................... 12
Setting........................................................................................................................................ 13
Needs assessment/pilot phase .................................................................................................... 13
Participants ................................................................................................................................ 15
Sport Program Design ............................................................................................................... 17
Sport Program Implementation ................................................................................................. 22
Instrumentation/Measures ......................................................................................................... 26
Procedures ................................................................................................................................. 32
Pre-program data collection procedures .................................................................................... 35
During-program data collection procedures .............................................................................. 36
Post-program data collection procedures .................................................................................. 37
Data Analyses ............................................................................................................................ 39
Chapter 3: Results ......................................................................................................................... 43
Preliminary results ..................................................................................................................... 44
Program implementation ........................................................................................................... 44
RQ1: What is the youth participation experience in a TPSR-based youth sport program in
eSwatini? ............................................................................................................................... 44
RQ2: What are the coaching strategies and program design elements (strengths and
weaknesses of coach training and sport program) that contribute most strongly to life skills
learning in a TPSR-based youth sport program in eSwatini? ................................................ 54
RQ3: To what extent was fidelity to the TPSR model achieved in terms of daily structure,
youth responsibility behaviors, and coaching strategies? ...................................................... 82
Program impact ......................................................................................................................... 92
RQ4: What positive developmental outcomes and changes in life skills are associated with
youth participation in a TPSR-based youth sport program in eSwatini? .............................. 92
Researcher reflexivity ............................................................................................................... 99
Youth experiences ................................................................................................................. 99
Program design .................................................................................................................... 102
Chapter 4: Discussion ................................................................................................................. 105
Program implementation ......................................................................................................... 106
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI vi

Research question one: youth participation experiences ..................................................... 106
Research question two: coaching strategies and program design elements ........................ 112
Research question three: fidelity to the TPSR model .......................................................... 131
Program impact ....................................................................................................................... 140
Research question four: youth positive developmental outcomes and life skills ................ 140
Limitations .............................................................................................................................. 146
Practical Implications and Future Directions .......................................................................... 148
Conclusions ............................................................................................................................. 152
References ................................................................................................................................... 154
Tables and Figures ...................................................................................................................... 177
Appendix: Extended Introduction ............................................................................................... 194
Scope of the Study................................................................................................................... 194
Basic Assumptions .................................................................................................................. 195
Limitations of the Study .......................................................................................................... 196
Definition of Terms ................................................................................................................. 197
Significance of the Study ........................................................................................................ 198
Appendix: Extended Literature Review ...................................................................................... 200
Youth, development, and sport: eSwatini context ................................................................... 201
Sport for development and peace ............................................................................................ 211
Sport for development in South Africa and eSwatini ............................................................. 223
Youth coaching in Southern Africa and eSwatini ................................................................... 232
Role of coaches in positive youth development and sport for development ........................... 240
Teaching personal and social responsibility through sport ..................................................... 248
Application of the TPSR model .............................................................................................. 253
Theoretical framework ............................................................................................................ 280
Precede-Proceed model ....................................................................................................... 281
Needs assessment/pilot phase (PRECEDE) to inform dissertation feasibility study .......... 283
Youth sport program: Theoretical framework ..................................................................... 290
Summary of Literature Review ............................................................................................... 296
Appendix A: Sport Program Outline .......................................................................................... 299
Appendix B: Coach Training Manual ......................................................................................... 329
Appendix C: Demographics Survey ........................................................................................... 351
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI vii

Appendix D: Demographics and Personal and Social Responsibility Questionnaire (PSRQ) ... 352
Appendix E: Multidimensional Scales of Perceived Self-Efficacy (MSPSE) ............................ 353
Appendix F: Student Learning Quiz ........................................................................................... 357
Appendix G: Coach Focus Group Guide .................................................................................... 358
Appendix H: Youth Focus Group Guide .................................................................................... 359
Appendix I: Teacher Interview Guide ........................................................................................ 360
Appendix J: Tool for Assessing Responsibility-Based Education (TARE) – Post-Teaching
Reflection .................................................................................................................................... 361
Appendix K: TPSR Implementation Checklist ........................................................................... 365
Appendix L: Coach Consent Form ............................................................................................. 366
Appendix M: Youth Assent Form .............................................................................................. 368
Appendix N: Parental Consent Form .......................................................................................... 370
Appendix O: Teacher Consent Form .......................................................................................... 372














COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
1
Chapter 1: Introduction
Adolescence is a formative period in the healthy development of youth and lays the
foundation for future well-being and fulfillment (Holt, 2008; Fatusi & Hindin, 2010). In
developing countries, this age demographic makes up the largest proportion of the population
(UNFPA, 2015). However, young people in these areas are facing significant health-related
challenges as well as limited resources to support their development (Fatusi & Hindin, 2010). In
the Kingdom of eSwatini (formerly known as Swaziland), a small country in Southern Africa,
36% of the population is between the ages of 10-24 years (WHO 2013; Mavundla, Dlamini,
Nyoni, & Mac-Ikemenjima, 2015). While youth in eSwatini struggle with the more universal
challenges associated with adolescence such as social identity development and peer pressure,
emaSwati youth are also faced with major context-specific challenges. These include but are not
limited to economic and resources concerns such as unemployment, low school attendance, and
high poverty rates as well as health challenges such as risk for HIV/AIDS (Huysmans, Clement,
Hilliard, & Hansell, 2017). Specifically, the population-level poverty rate in eSwatini is 63%,
unemployment for youth aged 15-24 is 42.6%, and only about half of youth attend school
(Mavundla et al., 2015; Ministry of Sports, Culture and Youth Affairs, 2015).
Of even more concern is the fact that eSwatini has the highest global prevalence of
HIV/AIDS; almost 30% of adults (15-49 years old) are infected (UNAIDS, 2016). The high
prevalence of HIV/AIDS in eSwatini has not only put youth at significantly higher risk for
infection (AVERT, 2014), but it has also had psychological, social, and economic effects on the
lives of young emaSwati (Foster & Williamson, 2000). These include, but are not limited to,
becoming the caretaker of a sick parent, experiencing increased financial pressure in already
poor living situations, having to drop out of school to earn a living, and experiencing the death of
one or both parents (AVERT, 2014; Foster & Williamson, 2000). This is consequential given the
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
2
significant body of research that indicates that exposure to adverse childhood experiences
(ACEs) such as neglect or chronic illness and the death of a parent put children at greater risk for
future cognitive, emotional, social and health impairments (Anda, Butchart, Felitti, & Brown,
2010; Felitti et al., 1998). Furthermore, the high adult mortality rates due to the HIV epidemic in
eSwatini has resulted in a youth population (under 18 years of age) composed of almost 50%
orphans and vulnerable children (AVERT, 2014). This is concerning because emaSwati (Swazi)
youth are therefore not only exposed to adverse childhood experiences alongside health and
resources challenges, but they are also lacking guidance and mentorship from adult role models
to support their healthy development. Investing in youth development and mentorship initiatives
in eSwatini should therefore be prioritized.
Although there are government-led policies, and initiatives, for youth development operating
at the national and community level in eSwatini, youth buy-in to these systems is limited
(Mavundla et al., 2015; Ministry of Sports, Culture and Youth Affairs, 2015). Moreover, the gap
between provision, and adoption, of youth services may suggest that there is a need to find ways
to engage young people in their own development through creative, fun, and intentional
programming. Sport-based youth development programming may be one avenue through which
to achieve this goal (Beutler, 2008). Sport is seen as an appropriate vehicle through which to
deliver youth development initiatives because it is an engaging and well-liked avenue for health
promotion and behavior change in adolescents (Kaufman, Spencer, & Ross, 2013). It is also
valued as an innovative, practical, and cost-effective tool for development (Beutler, 2008). On a
global scale, a multitude of research supports the role of sport as a vehicle for youth development
(Schulenkorf, Sherry, & Rowe, 2016; Svensson & Woods, 2017).
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
3
The role of sport in youth development is conceptualized as a fertilizer (Coakley, 2011) that
can create the right environment to help cultivate socially desirable skills that all young people
have the innate potential to develop (Coakley, 2011). Positive youth sport experiences have been
found to not only meaningfully contribute to performance outcomes and future sport
participation, but also personal development (Côté & Hancock, 2016). It also exposes youth to
positive role models, social connections, and constructive environments that may buffer the
negative impacts of ACEs and developmental trauma (Hughes, Ford, Davies, Homolova, &
Bellis, 2018; Whitley, Massey, & Wilkison, 2018), build resilience (Bellis et al., 2018), and help
them grow into civically engaged and conscientious adults (Beutler, 2008; Coakley, 2011). For
socially vulnerable populations, sport participation can also help youth develop the life skills
needed to overcome the challenges of everyday life and “succeed in the different environments
in which they live, such as school, home and in their neighborhoods” (Danish, Forneris, Hodge,
& Heke, 2004, p.40). Life skills may be important for socially vulnerable youth to develop due to
the increased likelihood that they face stressors, mental health issues, and social isolation
(Hermens, Super, Verkooijen, & Koelen, 2017). Sport-based life skills development
programming may therefore be a potential vehicle through which to support the healthy
development of emaSwati youth.
Several studies in eSwatini indicate a large percentage of youth hold positive attitudes toward
sport and its benefits on health and well-being (Huysmans et al., 2017; Ndlangamandla, Burnett,
& Roux, 2012; Toriola, 2010). Both male and female youth have indicated that sport helps them
develop life skills including but not limited to discipline, respect, team work, and managing
emotions (Huysmans et al., 2017). Youth also reported that sport has the potential to help them
overcome some of their developmental and community challenges by serving as a positive
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
4
distraction and teaching them helpful skills. In addition, youth expressed that sport may help
them interact with peers who share similar struggles, and support them in building the
confidence and self-esteem to progress through adversity (Huysmans et al., 2017).
However, only a small percentage of youth actually participate in sport or physical education
at school (Huysmans et al., 2017; Ndlangamandla et al., 2012; Toriola, 2010). Further, female
perceptions of competence and participation in sport is generally much lower than for males and
decreases significantly from primary school to secondary school (Toriola, 2010). This is partly
affected by a culture of male dominance combined with a lack of female role models in sport
(Toriola, 2010). In addition, financial, structural, and equipment barriers also limit higher youth
sport participation levels (Huysmans et al., 2017; Ndlangamandla et al., 2012; Toriola, 2010).
Therefore, despite youth enjoyment of sport and awareness of its positive benefits, there are
significant systemic and cultural barriers that limit youth sport participation, especially for girls.
Further, there is negligible programming that utilizes sport as a context for youth life skills
development in eSwatini.
Although there is limited sport for development programming in eSwatini, successful
implementation of sport-based life skills initiatives in South Africa suggests there is potential for
these programs to create meaningful developmental outcomes for emaSwati youth. South Africa
is a comparable context to eSwatini given that 66% of the population is below the age of 35 and
youth face similar developmental challenges (UNFPA South Africa, 2011). These include high
unemployment, teenage pregnancy, poverty, HIV, and youth-led households (UNFPA South
Africa, 2011). In the Kayamandi township of South Africa, research indicates that sport
participation helped youth develop valuable intrapersonal, and interpersonal, life skills as well as
overcome significant community challenges (Whitley, Hayden, & Gould, 2016). Sport
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
5
participation helped youth overcome community challenges by creating an environment of
positive peer influences and support, keeping youth out of trouble, and giving them a reason not
to make bad decisions (Whitley, Hayden, & Gould, 2013).
These findings are further supported in the Buffalo Soccer Coaching Club (BSCC) in the
Eastern Cape province of South Africa (Draper & Coalter, 2016). That is, youth experienced
personal development across several life skills and also reported positive experiences in the
program including social connection with peers and a sense of safety and belonging (Draper &
Coalter, 2016). Burnett’s (2014) work with Might Metres in South Africa also emphasizes the
positive impact of sport-based programming on youth pro-social behavior and building teacher
learner relationships built on trust and enjoyment (Burnett, 2014). These findings from South
Africa are consistent with studies from North America that support the role of youth sport
participation in facilitating cognitive, emotional, and social life skills outcomes for normal
adolescent development as well as for socially vulnerable or at-risk youth (Camiré, Trudel, &
Bernard, 2013; Danish, Forneris, & Wallace, 2005; Gould, Collins, Lauer, & Chung, 2007;
Hermens et al., 2017; Holt et al., 2017; Martinek & Hellison, 2016).
The work of sport for development (SFD) and life skills programming in South Africa
(Burnett, 2014; Whitley et al., 2013; Whitley, Wright, & Gould, 2016) and in Western contexts
such as the USA and Canada (Hermens et al., 2017; Martinek & Hellison, 2016) support the
value of investing in sport-based youth development programs in under-privileged contexts.
However, sport participation does not automatically result in life skills outcomes (Coakley,
2011). Positive development outcomes associated with sport are contingent upon a wide range of
factors. These include the culture of the sport environment, the social connections established
during sport participation, the meaning and values associated with sport participation, and the
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
6
coach-athlete relationship (Coakley, 2011; Holt et al., 2017). Therefore, the people in charge of
establishing the sport climate such as the coach become especially important in ensuring life
skills learning (Gould et al., 2007).
Coaches are the gatekeepers of the youth sport experience and are also often viewed by
athletes as important mentors in their development (Bean & Forneris, 2016; Giges, Petitpas, &
Vernacchia, 2004; Gould et al., 2007; Holt et al., 2017; Vella, Oades, & Crowe, 2011). Coaches are
therefore in a unique position to be facilitating life skills development through sport (Gould et
al., 2007). Specifically, when the coach is able to foster a caring and supporting sporting
environment, personal development and positive developmental outcomes are more likely to
occur (Spaaij, 2009; Vella et al., 2011). This is consistent with the positive youth development
(PYD) framework that states that every adolescent is capable of positive developmental change
but that the interaction between the individual and their sport context will heavily influence their
personal development (Holt & Neely, 2011). This means that the extent to which coaches
carefully craft a nurturing sport environment and include intentional life skills building activities
will determine the resultant life skills outcomes (Bean & Forneris, 2016; Gould et al., 2007; Holt
et al., 2017; Vella et al., 2011).
In South Africa, coaching effectiveness frameworks explicitly outline the role of coaches in
engendering outcomes in youth participants that are more holistic than just sport-specific
outcomes (International Council for Coaching Excellence, Association of Summer Olympic
International Federations, & Leeds Metropolitan University, 2013). Several studies have
explored the role of youth coaches in intentionally facilitating life skills learning and positive
youth development in South Africa (Meir, 2017; Whitley et al., 2013; Whitley, Wright, & Gould,
2016). These studies have found that coaches were cognizant of the challenges facing youth in
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
7
the community and therefore intentionally employed strategies to build life skills (Whitley et al.,
2013). These strategies included building close relationships with youth, creating safe and caring
sport climates, engaging youth in discussion, and providing opportunities to practice skills.
Further strategies identified were encouraging self-reflection, modeling behavior, and
empowering youth to problem-solve. (Whitley et al., 2013; Whitley, Wright, & Gould, 2016).
These findings support empirical and review research in North America that emphasize the two
fold role of coaches in creating a caring and positive sport climate and using explicit life skills
building strategies (Collins, Gould, Lauer, & Chung, 2009; Gould & Carson, 2008; Gould et al.,
2007; Holt et al., 2017; Santos, Camiré, & Campos, 2016).
Despite the valuable role of coaches in facilitating life skills outcomes for youth sport
participants, coaches often struggle to articulate the explicit strategies that they employ to build
life skills (Camiré et al., 2013; Gould et al., 2007; Santos et al., 2016) or they face significant
barriers to emphasizing life skills in their coaching (Whitley, Gould, Wright, & Hayden, 2017).
Coaches have voiced concerns over the incompatibility of performance and life skills foci and
the pressure to teach tactical and technical sport skills over life skills (Santos et al., 2016;
Whitley et al., 2017). Further, coaches have expressed that coaching education curricula are
lacking in PYD emphases and do not effectively communicate how to facilitate personal
development outcomes (Santos et al., 2016). In addition, life skills development is often absent
from coaching philosophies to begin with (Whitley et al., 2017). Therefore, although there is
justification for the use of coaches as implementers of youth life skills programming, there is a
need to first identify the barriers that prevent coaches from adequately emphasizing life skills in
their coaching (Whitley et al., 2017) as well as for further coach education on the successful
integration of life skills and performance foci (Santos et al., 2016). Coaches may also benefit
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
8
from training that develop teaching strategies to facilitate youth life skills learning and provides
opportunities to practice those strategies (Santos et al., 2016; Whitley et al., 2013). In addition,
there is limited research on this topic in non-Western contexts where youth could benefit from
positive coach mentors and sport-based life skills programs. One possible solution to equipping
coaches with the skills they need to deliver youth development programming would be to train
them in the use of a more structured model that integrates physical and life skills objectives.
One of the most well-known instructional models for life skills education through sport in
North America is Hellison’s (2011) Teaching Personal and Social Responsibility model (TPSR;
Hellison, 2011). The TPSR model is designed to help youth develop the necessary skills to take
more responsibility for their well-being and for the welfare of others (Hellison, 2011; Martinek
& Hellison, 2016). It is an intentionally structured model that employs active learning strategies
to help youth achieve small successes that build confidence and self-efficacy to engage in their
own development. The TPSR framework includes five responsibility levels, or goals, that youth
need to take ownership of along their developmental journey: 1) respecting the rights and
feelings of others; 2) effort and cooperation; 3) self-direction; 4) helping others and leadership;
and 5) transfer. In helping youth attain these responsibility goals, program instructors are
expected to use the following strategies: empowerment, self-reflection, integration of physical
activity and life skills, being relational with kids, and transfer to life outside sport. In addition,
there is a standard daily structure for TPSR sessions that allow for relationship building, group
and individual reflection, life skills awareness-building, and physical activity time (Hellison,
2011; Martinek & Helison, 2016).
The TPSR model has been used as the guiding framework in a multitude of youth
development programs (Gordon & Doyle, 2015; Hellison, 2011; Martinek & Hellison, 2016).
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
9
These programs have primarily targeted underprivileged or at-risk youth and have been
implemented in numerous settings ranging from in-school physical education classes to
community-based programs (Caballero-Blanco, Delgado-Noguera, & Escartí Carbonell, 2013;
Gordon & Doyle, 2015; Martinek & Hellison, 2016). The effectiveness of TPSR programs in
engendering positive developmental outcomes is supported by significant literature. Multiple
studies have demonstrated improvements in self-control, effort, reaching goals, leadership, and
helping or cooperative behaviors (Bean, Kendellen, & Forneris, 2016; Caballero-Blanco et al.
2013; Cryan & Martinek, 2017; Escarti, Gutiérrez, Pascual, & Marín., 2010). Further, qualitative
accounts of participant experiences during TPSR programs indicate high levels of enjoyment,
experiencing caring adult relationships, developing a sense of belonging, and feeling safe
(Caballero-Blanco et al. 2013; Escarti et al., 2010; Hellison & Walsh, 2002; Whitley, Coble &
Jewell, 2016). In addition, studies also support the transfer of intrapersonal and interpersonal
skills such as self-control, emotion regulation, effort, respect, and social skills to domains such as
school, home, and peer groups (Bean et al., 2016; Caballero-Blanco et al. 2013; Hellison &
Walsh, 2002; Hemphill & Richards, 2016; Whitley, Coble, & Jewell, 2016).
Two noteworthy TPSR programs are the ‘Girls Just Wanna Have Fun’ (GJWHF) program in
Ontario, Canada (Bean, Forneris, & Halsall, 2014; Bean et al., 2016) and the Refugee Sport Club
(RSC) in Lansing, Michigan (Whitley & Gould, 2010; Whitley, Coble, & Jewell, 2016). Both
programs successfully created safe, empathetic and supportive youth environments for sport
participation and contributed to the holistic development of youth participants. These programs
provided key lessons for future TPSR programming including useful program design elements
and coaching strategies that contribute to positive youth development outcomes. Further, the
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
10
RSC program illustrated the value in adapting the program to the cultural context of the
participants through taking a collaborative approach to program design.
The aforementioned research indicates that the TPSR model may be a useful guiding
framework to help coaches deliver life skills-focused sport programming across multiple youth
contexts. In eSwatini, the TPSR model could provide the foundation for the design of sport
based youth development initiatives that use coaches as primary program implementers.
Moreover, there is justification for exploring this type of programming given the significant need
to find more creative and effective platforms to address the developmental challenges facing
emaSwati youth. In addition, there is evidence for the success of sport-based youth life skills
development programs in South Africa where youth face similar developmental challenges.
However, any further explorations of sport-based youth life skills programming should be
theory-driven and need to employ more rigorous monitoring and program evaluation as weak
methodologies have been over-relied on (Coalter, 2015; Levermore, 2011; Spaaij, 2009). In
addition, although the TPSR model has demonstrated significant success in fostering life skills
with at-risk youth, the majority of TPSR programs have been implemented in Western contexts
where youth challenges are culture-specific (Caballero-Blanco et al., 2013; Gordon & Doyle,
2015; Whitley, Coble, & Jewell, 2016). An exploration of TPSR programming in eSwatini
would therefore provide an opportunity to explore how the model might operate differently in a
distinct youth context (Wright, Jacobs, Ressler, & Jung, 2016).
The multitude of research in North America supporting the value of the TPSR model in
cultivating positive developmental outcomes for underprivileged youth suggests that it would be
an appropriate framework for sport-based youth life skills programming in eSwatini. The main
aim of this feasibility study was therefore to explore the youth participation experiences and
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
11
successes/challenges associated with implementing a TPSR sport program for underprivileged
youth in a community in eSwatini. A secondary aim of the study was to examine the positive
youth outcomes and changes in life skills associated with participating in a TPSR sport program.
The specific research questions were as follows: RQ1: What is the youth participation experience
in a TPSR-based youth sport program in eSwatini?; RQ2: What are the coaching strategies and
program design elements (strengths, weaknesses, and improvements of program and coach
training) that contribute most strongly to life skills learning in a TPSR-based youth sport
program in eSwatini?; RQ3: To what extent was fidelity to the TPSR model achieved in terms of
daily structure, youth responsibility behaviors, and coaching strategies?; and RQ4: What positive
developmental outcomes and changes in life skills are associated with youth participation in a
TPSR-based youth sport program in eSwatini?
Chapter 2: Methods
Paradigm
The current study was guided by a social constructionist paradigm (Crotty, 1998). Social
constructionism is grounded in the belief that there is no singular objective truth. Rather, we
create and construct meaning through our interactions with our social and cultural context. This
means that individuals may experience the same phenomenon differently and construct varying,
and equally valid, “truths” related to those experiences (Crotty, 1998; Ponterotto, 2005). One of
the central aims of constructionist research is therefore to understand the lived experience of the
research participant as expressed from their viewpoint (Ponterotto, 2005). This epistemological
stance was chosen because the author posited that the youth experience in the sport program, and
the successes and challenges encountered in implementing the program, would be influenced by
the social and cultural context of the community.
Positionality
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
12
The emphasis on co-construction of meaning in social constructionism makes it
necessary to examine the background of the primary researcher that may influence the
interpretations made along the research journey (Creswell, 2007; Ponterotto, 2005). I was born
and raised in eSwatini, Southern Africa, but my ethnic heritage is European, as my parents grew
up in Belgium. Consequently, I was raised with a mixture of Swati and Belgian cultural
influences, in a home environment that subscribed to European belief systems and a school and
social environment that was rooted in Swati culture and beliefs. From a young age I experienced
life in eSwatini both as an insider as well as an outsider. That is, I grew up in eSwatini, I
attended a public primary school and had majority emaSwati (Swazi) friends, but I was also
White in a nation where 97% of the population is Black.
After attending a local public primary school in eSwatini, I attended a United World
College (UWC) for high school. Waterford Kamhlaba, a UWC located in eSwatini, is an
international high school that attracts students of over 60 nationalities. Being surrounded by
students from all over the world was a pivotal experience in shaping what I consider to be a
multicultural worldview. However, this worldview is sometimes at odds with the more
traditional beliefs in Swati culture. Waterford was then the stepping stone to gain a scholarship to
attend college in the United States, at Duke University.
At 19, I left eSwatini to start my tertiary education in the United States. My educational
experiences at Duke, and then at West Virginia University as a doctoral student, have
significantly shaped my identity as an academic and a scholar. However, throughout my
undergraduate, and graduate, educational experiences, I have made strong efforts to connect the
material I was learning to life in eSwatini, and to the belief systems that are valued there.
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
13
Nonetheless, I am aware that the majority of my higher education was experienced in a culture
different from my home country, where I conducted my doctoral research. These experiences
were likely to influence how I interacted with the research process; from choice of methodology,
to program implementation and data analysis. From the participants’ perspective, it was also
likely that I was considered an outsider (ethnicity and identity as a researcher). However, my
ability to speak conversational SiSwati and the fact that I was born and raised in eSwatini may
have given me, somewhat of, an insider status.
Setting
The feasibility study took place at a community-based children’s organization that
operates in the Lobamba region of eSwatini. The children’s organization is a non-profit that
provides psychosocial services and school funding support for underprivileged youth in the
community including orphans and vulnerable children (OVC’s). In addition, the organization
offers parenting skills programs for members of the community and infrastructure support for
local schools. The organization also facilitates skill-building workshops in local schools on
topics surrounding school administration, HIV/AIDS, abuse, grief, health, and basic counseling
interventions. On a daily basis, the organization also provides pre-school education for OVC’s in
the community and afternoon clubs (i.e. classes) to assist primary school-aged children with
literacy development. During these afternoon clubs, children are provided with a light meal
(mahewu – a maize-based drink). The grounds of the children’s organization have a vegetable
garden, a sheltered outdoor play area as well as a soccer field.
Needs assessment/pilot phase
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
14
Based on the preliminary results from the needs assessment/pilot phase, several decisions
were made to guide the development of the feasibility study (current dissertation). First, sport is
a beloved and creative context through which to engage emaSwati (Swazi) youth in positive
development. Using sport as the platform for youth programming in the feasibility study was
therefore an appropriate path forward. Second, HIV/AIDS prevention is an immensely complex
issue that requires long-term investment, strong community connections, and a multidisciplinary
approach. The feasibility study therefore took out the HIV/AIDS component and instead focused
on developing the life skills that HIV/AIDS experts identified as most valuable for HIV/AIDS
prevention i.e. the PRE factors from phase 3. These included: self-belief, social & personal
responsibility, goal-setting, decision-making, self-efficacy, and emotional expression. Third,
youth within the 15-24 years old demographic have already developed a strong set of beliefs
related to relationships, gender roles, sexual intimacy etc. It would therefore be more effective to
engage younger age demographics in youth development programming.
Fourth, emaSwati youth are lacking caring and empathetic adult mentors. Given that
coaches believed in their role as mentors and educators for youth athletes, they were an
appropriate population to engage with to implement sport-based positive youth development
feasibility programming. Fifth, coaches were keen to learn strategies and approaches to
strengthen their ability to facilitate life skills learning for their athletes. Using the Teaching
Personal and Social Responsibility (TPSR) model to guide coach education for the feasibility
study was therefore a viable option. Sixth, emaSwati youth were interested in engaging in mixed
gender sport-based programming where they could learn multiple sports. The feasibility study
was therefore designed to include these elements. Last, social cognitive theory and the positive
youth development (PYD) framework were used as the theoretical foundation of the feasibility
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
15
study. The emphasis of PYD on creating positive sporting environments and treating youth as
inherently capable of becoming successful complemented the emphasis of social cognitive
theory on human agency and the active role that youth may play in their development. The use of
both implicit and explicit PYD learning pathways also provided the right social environment for
self-efficacy beliefs to emerge in youth sport participants.
Participants
Youth participants were thirty-three students (N=33, 22 females and 11 males) aged 11
15 years old (M=12.6 years old, range=11-15) who attended the grades 6 and 7 afternoon club
(grade 6 (n=24), grade 7 (n=9)) at the community-based children’s organization. Sample size at
the outset was intended to be 15 youth participants as this has been found to be optimal for group
activities and to create a caring climate (Cryan & Martinek; Whitley & Gould, 2010). However,
all youth who attended the afternoon class at the time were keen to participate so the primary
researcher decided not to deny participation to any youth given the ethos of the program.
Eligibility criteria for participation included: 1) current enrollment in a primary school in the
Lobamba area of eSwatini; 2) current attendance at the afternoon club at the children’s
organization; 3) conversational English language proficiency; 4) aged 10-15 years old; and 5)
signed parental consent and youth assent to participate in the study. Although all youth who
attended the organization were either single or double orphans, they all lived in a household
where there was an adult guardian who could sign a consent form. Youth were recruited through
convenience sampling from an afternoon club at the community-based children’s organization
that they attended.
Coach participants in the study were three (N=3) male youth coaches (2 emaSwati, 1
Zimbabwean; M=27.3 years old) from the Lobamba region of eSwatini. This sample size was
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
16
chosen given recommendations that the ratio of coaches to youth participants should not exceed
1:5 to provide the opportunity for quality one-on-one interaction (Cryan & Martinek; Whitley &
Gould, 2010). Evidently this coach to youth ratio could not be retained given the significant
increase in the number of youth participants. In addition, after one week of the sport program a
coach had to drop out because he finally got a full-time job after two years of unemployment.
The remaining two coaches ran the last 2 weeks of the program on their own. Coach eligibility
criteria included: 1) at least two years of experience coaching a youth or adolescent sport team;
2) at least 18 years old; 3) English language proficiency; and 4) SiSwati language proficiency.
The coaches included in the study had an average of 5.5 years of coaching experience and
previous expertise coaching a range of sporting codes including basketball, soccer, volleyball,
athletics, badminton, and aerobics. All coaches had a background coaching a similar age-group
(U12 and U14) to the youth participants in the sport program. Two of the coaches had grown up
in the same community as the youth participants while the third coach shared a similar socio
economic background to the youth although he had grown up in a different country. Two of the
three coaches had no prior training in positive youth development while the third coach had
partially completed a training course in positive youth development.
Initial contact with coaches began via phone and email while the primary researcher was
still in the United States. This was reasonable given the connections that were established
through the researcher’s study the previous summer on youth coaches in eSwatini. Every effort
was made to recruit at least one male and female coach, but this was not possible given the
limited number of female coaches in the country. The primary researcher also aimed to recruit
coaches who were relatable (i.e. similar ethnicity and gender, and less than 20 years older than
youth) to the youth and could be viewed as mentors. Relatability and the mentorship role of
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
17
coaches has been found to be an important predictor of positive youth development outcomes
through sport participation (Gould, Collins, Lauer, & Chung, 2007). Moreover, during
recruitment, the primary researcher emphasized the youth participant demographics with the
coaches to highlight the privileged role they would be in as role models and trusted adults in the
lives of the youth participants. Only coaches who seemed invested in that mentorship and
educator role were asked to participate in the study. Coaches received a financial incentive and
certificate for participating in the program, which they were informed of during the consent
process.
Sport Program Design
The overall research objectives of the sport program (intervention) were to: 1) explore the
youth participation experiences and successes/challenges associated with implementing a
Teaching Personal and Social Responsibility (TPSR) sport program in eSwatini; and 2) examine
the positive youth outcomes and life skills associated with participating in a TPSR-based sport
program. Separate from these research objectives, the goals of the sport program for the youth
and coach participants were to: 1) provide youth with opportunities to be physically active; 2)
provide youth with opportunities to participate in a range of different sports and physical
activity-based games; 3) provide youth with opportunities to have fun; 4) facilitate youth life
skills development through sport; and 5) provide coaches with the opportunity to learn new
coaching strategies to promote life skills development through sport. The sport program was
named “Talabasha - Temidlalo Nemfundvo”, which means “Youth time - Of sports and
education/learning” in SiSwati. This name was chosen together with the coaches during the
coach training.
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
18
The sport program took place for 75-100 min every week day for three weeks with a total
of 15 sessions. This was consistent with recommendations from prior TPSR programs that sport
sessions occur at least two to three times per week for 60 minutes (Cryan & Martinek, 2017;
Whitley & Gould, 2010). Although three weeks was a short amount of time to achieve
sustainable program outcomes (Bean, Kendellen, & Forneris, 2016), the current program was
intended to be a feasibility study. The successes and challenges of implementing this type of
youth sport programming will be used to inform more long-term programming in eSwatini.
Sessions took place either on the soccer field or in the outdoor play area of the children’s
organization during the afternoon club slot between 2:30 and 4:10 pm every day. Sport
equipment was purchased for use in the program thanks to the Association for Applied Sport
Psychology (AASP) Gualberto Cremades International Research Grant. This included
volleyballs, basketballs, soccer balls, netballs, frisbees, pinnies, cones, a volleyball net, and a
video camera. This equipment was gifted to the children’s organization after the end of the sport
program.
The sport program was designed, and implemented, according to the key programmatic
features of the TPSR model as well as using the information gathered during the needs
assessment/pilot phase. The program was therefore grounded in the foundational TPSR
principles of holistic youth positive development, youth centered approaches, and fostering
human decency (Hellison, 2011; Martinek & Hellison, 2016). The TPSR model was chosen over
other life skills education through sport models for the following reasons: 1) the option to tailor
the life skills focus to values and skills that are appropriate to the cultural and youth context that
the program operated in; 2) the focus on teaching coaches how to use intentional strategies to
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
19
facilitate the learning of life skills; and 3) the emphasis on transfer of life skills learning in the
sport setting to domains outside of sport (Hellison, 2011; Martinek & Hellsion, 2016).
As a brief overview, the sport program was designed using the standard TPSR daily
structure (relational time, awareness talk, physical activity, group reflection, and individual
reflection) and responsibility levels/goals (respecting others, effort and cooperation, self
direction, helping and leadership, and transfer). Specific design elements from several successful
TPSR-based youth sport programs also informed the development of the program. These TPSR
based programs included the ‘Girls Just Wanna Have Fun’ (GJWHF) program in Ontario,
Canada (Bean, Forneris, & Halsall, 2014; Bean et al., 2016), the ‘Refugee Sport Club’ in
Lansing, Michigan (Whitley & Gould, 2010; Whitley, Coble, & Jewell, 2016), and the Soccer
Coaching Club in central North Carolina (Cryan & Martinek, 2016). Each day of the program
followed the same TPSR daily structure except for session one. Session one was used for ice
breakers and to briefly introduce youth to all the responsibility levels and the expectations for the
program. The remaining 14 sessions used the same daily structure: 1) relational time (10
minutes); 2) awareness talk (20-45 minutes); 3) physical activity (30 minutes); 4) group
reflection (10 minutes); and 5) individual reflection (5 minutes). Details of the program design
will now be described.
Each day started with a brief period dedicated to building the relationship between the
coaches and the youth i.e. relational time. Coaches made an effort to briefly chat with as many
youths as possible and build a caring and meaningful coach-youth relationship. Various pieces of
sport equipment were available for the youth to play around with as they relaxed and refocused
after their day at school. To encourage timeliness, youth were given a small piece of candy for
arriving on time. A local maize-based drink (emahewu) was also made available for the youth to
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
20
consume as this was something that was normally provided by the children’s organization for
their afternoon club classes.
The awareness talk followed the relational time and was an opportunity for the coaches
to teach the youth a life skill or responsibility that is valuable to develop. Awareness talks took
place under a large tree on the sport field as it is customary in Swati culture to have group
discussions under the shade of a tree. Although the awareness talks were intended to be
facilitated in a mixture of English and SiSwati, it became apparent very quickly that youth
confidence was very low in English so SiSwati was used as the primary means of
communication. This decision ultimately promoted higher youth participation in discussion.
Each day of the program focused on a specific responsibility level and main life skill. As the
weeks progressed, the responsibility level foci shifted to the more complex responsibility
behaviors i.e. moving from respect (level 1) to effort (level 2) to self-direction (level 3) and to
caring and leadership (level 4). The final level, transfer (level 5), was included in every session
given that this is an integral component of the TPSR model and previous programs have
recommended integrating transfer into as many sessions as possible (Bean et al., 2016; Whitley,
Coble, Jewell, 2016; Walsh, Ozaeta, & Wright, 2010). Transfer was operationally defined as any
individual conversations, reflection opportunities or discussions related to applying life skills and
responsibility concepts learned in the program to other domains of life such as school. Visual
posters defining each life skill in English and siSwati were hung on and around the tree to aid
learning. Using visual aids is an effective teaching strategy that accommodates for differences in
the developmental needs and learning styles of youth (Allison & Rehm, 2007). A whiteboard
was also used in most sessions where the poster for the life skill focus of that day was placed for
easy reference. Although the sport program was delivered primarily in SiSwati, the use of the
COACHING LIFE SKILLS THROUGH SPORT IN ESWATINI
21
visual aids that translated each SiSwati concept into English nonetheless helped youth learn
about how the concepts could be referred to in English.
In an effort to make the awareness talk an interactive and engaging component of the
daily structure, there was always an activity integrated into the awareness talk that focused on the
responsibility level and life skills of the day. These structured life skills learning activities were
drawn from the Sports United to Promote Education and Recreation (SUPER) model (Danish,
Forneris, Hodge, & Heke, 2004) of life skills education through sport (e.g. Dare to Dream
activity) as well as sport psychology literature (e.g. deep breathing and muscle relaxation). An
extended version of the awareness talk was used to provide time for the integration of those
activities into the awareness talk. However, although the awareness talk was intended to be 20
minutes, most days had awareness talks that lasted between 30 and 45 min

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