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Coach and Athlete Burnout: The Role of Coaches’ Decision-Making Style
Brandonn S. Harris, B.S.
Thesis submitted to the School of Physical Education
at West Virginia University in partial fulfillment of the requirements
for the degree of
Master of Science in
Sport and Exercise Psychology
Andrew C. Ostrow, Ph.D., Chair Jack C. Watson, II, Ph.D.
Roy H. Tunick, Ed.D.
Department of Sport and Exercise Psychology
Morgantown, WV 2005
Keywords: Coach and Athlete Burnout, Decision-Making, Leadership
ABSTRACT
Coach and Athlete Burnout: The Role of Coaches’ Decision-Making Style
Brandonn S. Harris
Recent burnout research has examined coaches and athletes collectively to determine the influence of coach behaviors on coach and athlete burnout. Results revealed a potential incongruity between decision-making behaviors and their influence on coach and athlete burnout. Therefore, the purpose of this study was to examine the relationships between decision-making styles of coaches and burnout among coaches and athletes; gender influence on burnout was also examined. Collegiate swimmers and coaches completed questionnaires assessing burnout and decision-making behaviors. Results revealed a significant relationship between athlete burnout and autocratic coaching behaviors. A significant inverse relationship emerged between athlete burnout and democratic behaviors. ANOVAs revealed no significant interactions between gender and decision-making on burnout scores. Significant main effects were found for democratic behaviors on exhaustion and depersonalization subscales; swimmers classified as perceiving fewer democratic behaviors scored higher on these subscales. No significant relationships or gender differences were found with in the coaches.
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DEDICATION This entire work is dedicated to my Mom, Dad, Lindsey, and Meghan, whose continuous
love and support has been my impetus in completing this project and my graduate education. I love you all very much.
-Brandonn
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ACKNOWLEDGMENTS
A project of this magnitude involves the work and guidance of others in order to be successful. There are several people who played a significant role with this thesis, without whom this endeavor would not have been possible.
I would like to thank my chair and advisor Dr. Andrew Ostrow for his guidance and wisdom throughout this entire process. The time and effort you have given over the past two years with this research has allowed me the opportunity to take an interest and idea and turn it into a terrific learning experience. I am very grateful for the knowledge you have imparted upon me and for the support you gave me, particularly when things were not going as planned.
I would also like to thank Dr. Jack Watson for serving on my committee and providing me with support and feedback with this project and life outside of the master’s thesis. I feel very fortunate to have you as a resource and future colleague. I cannot thank you enough for always making time for me when there is someone else in line waiting for your guidance. You have set a positive example for us future professionals to follow.
I am also grateful to Dr. Roy Tunick for his help, feedback, and support with my thesis. I am very appreciative to you for making the time to serve as one of my committee members and for the helpful comments and guidance you have provided me while completing this project.
I would also like to thank the personnel at the World Swimming Championships and World Coaching Clinic for their willingness to allow me the opportunity to collect my data at their venues. I would also like to acknowledge those collegiate swimmers and swimming coaches who took the time to complete my inventories and for providing me with such a crucial component to a project of this nature. Without your help, none of this would have evolved to the point it is at today.
I would also like to thank my friends and colleagues in the Sport and Exercise Psychology Program. It often takes the support and encouragement of folks who have been in your shoes before to help you endure the ups and downs that come with a thesis. In particular, I would like to thank Age for her constant support, kind words of encouragement, and wisdom over the past year. I would also like to thank Liz for sharing this experience with me. It has been a bumpy road for the both of us but we managed to pick each other up during the process.
A very big thank you to Lindsey Blom and her family, the Grossmans, for providing me with a place to stay while on the road collecting my data. Not having to worry about housing accommodations made this project financially feasible for me to take on. I am very grateful for your hospitality and generosity.
Finally, I would like to thank West Virginia University and the School of Physical Education for the funding they provided me to help finance this project. I appreciate the university and school’s financial support for graduate students taking on such endeavors.
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TABLE OF CONTENTS
Page
Introduction . . . . . . . . . 1
Theory and Research Regarding Leadership Style in Sport . . 2
Research Regarding Decision-Making Style in Sport . . 4
Research Regarding Decision-Making Style and Burnout . . 7
Study Purposes, Hypotheses, and Significance . . . 9
Methods . . . . . . . . . 11
Participants . . . . . . . . 11
Measures Completed by Athletes . . . . . 11
Swimmer Demographic Information Form . . . 11
Athlete Burnout Questionnaire (ABQ) . . . 12
Leadership Scale for Sports (LSS: Athlete Perception) . 14
Measures Completed by Coaches . . . . . 17
Swimming Coach Demographic Information Form . . 17
Coach Burnout Questionnaire (CBQ) . . . 17
Leadership Scale for Sports (LSS: Coach Perception) . 18
Procedures . . . . . . . . 19
Athletes . . . . . . . 19
Coaches . . . . . . . 21
Results . . . . . . . . . 23
Collegiate Swimmers . . . . . . 25 Preliminary Analyses . . . . . 25
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Relationship Between Decision-Making Style and Burnout . 26 Influence of Gender and Autocratic Style on Burnout . 27 Influence of Gender and Democratic Style on Burnout . 28 Influence of Both Decision-Making Styles on Burnout . 29 Predictive Value of Decision-Making Style on Burnout . 30
Collegiate Swimming Coaches . . . . . 31
Preliminary Analyses . . . . . . 31 Relationship Between Decision-Making Style and Burnout . 32
Influence of Gender and Decision-Making Style on Burnout 32
Discussion . . . . . . . . . 33
Influence of Decision-Making on Swimmer’s Burnout . . 34
Influence of Decision-Making on Swimming Coaches’ Burnout . 38
Implications and Future Directions . . . . . 43
References . . . . . . . . . 47
Tables . . . . . . . . . 52
Figures . . . . . . . . . 54
Appendices . . . . . . . . . 58
Appendix A- Swimmer Demographic Information Form . . 58
Appendix B- Athlete Burnout Questionnaire . . . 60
Appendix C- Leadership Scale for Sports: Athlete Perception . 62
Appendix D- Swimming Coach Demographic Information Form . 65
Appendix E- Coach Burnout Questionnaire . . . . 67
Appendix F- Leadership Scale for Sports: Coach Perception . 69
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Appendix G- Cover Letter . . . . . . 72
Appendix H- IRB Approval Letter . . . . . 74
Appendix I- Review of Literature . . . . . 76
Appendix J- Review of Literature References . . . 103
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LIST OF TABLES
Page Table 1- Internal Consistency and Descriptive Statistics for Intercollegiate 52
Swimmers and Coaches Table 2- Pearson Product Correlation Coefficients for Burnout and Decision- 53
Making Style Among Collegiate Swimmers and Collegiate Swimming Coaches
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LIST OF FIGURES Page Figure 1. The Multidimensional Model of Leadership . . . 54 Figure 2. The Cognitive-Affective Model of Burnout . . . 55 Figure 3. The Negative Training Stress Syndrome . . . . 56 Figure 4. The Stress Response Process . . . . . 57
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INTRODUCTION
Burnout has become a topic of increasing interest to the sport community.
Originally explored in individuals in the helping professions, burnout is not a novel topic
in the study of human behavior. However, the concept has only begun to be examined in
a sport context with most of the research initiated a decade and a half ago. In fact, some
have even suggested that burnout has become synonymous with sports (Lai & Wiggins,
2003). When asked what feelings they associate with being burned out, athletes and
coaches often cite internal and external sources of pressure, physical and mental
exhaustion, mood changes, increased anxiety, and lack of caring (Weinberg & Gould,
1999). As both athletes and coaches experiencing burnout can mentally and physically
withdraw from a sport they once used to enjoy, it is apparent that a great deal of
significance rests in the understanding of burnout.
Various theories and definitions of burnout have played an instrumental role in
guiding research toward an understanding of the construct and variables believed to
influence burnout. Relevant models have taken a cognitive-affective approach (Smith,
1986), a negative response to training stress (Silva, 1990), the result of sport commitment
or entrapment (Raedeke, 1997; Schmidt & Stein, 1991), or have taken a social
phenomenon approach (Coakley, 1992). With these and other works (e.g. Feigley, 1984)
having focused on athlete burnout, burnout among coaches has also been explored
(Kelley, 1994; Vealey, Udry, Zimmerman, & Soliday, 1992).
Although the coach and athlete populations have received research attention
individually, recent studies have examined both groups collectively to determine the
influence of coaching behaviors on coach and athlete burnout (Price & Weiss, 2000;
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Udry, Gould, Bridges, & Tuffey, 1997; Vealey, Armstron, Comar, & Greenleaf, 1998).
Relevant behaviors would include type and amount of feedback, social support, amount
and type of training/instruction, and decision-making styles. This area of study seems to
have continuing promise for future research on burnout. This may be particularly true
should studies take aspects of coaching leadership behaviors into consideration when
examining athlete and coach burnout as relatively little attention has been given to this
area thus far. Although not frequently attending to its effect on burnout, the sport
leadership research has focused on coach and athlete leadership preferences and
satisfaction as a result of varying coach behaviors. Various frameworks have often
served as guides in conducting such research. To understand its potential influence on
both coach and athlete burnout, it is helpful to first examine the nature and types of coach
leadership behaviors and how they can impact the interactions between these two groups
of individuals.
Theoretical Framework and Research Regarding Leadership Style in Sport
Several models have emerged as major approaches in examining leadership in
sport (Chelladurai & Riemer, 1998). Proposed have been a mediational model (Smoll &
Smith, 1989; Smoll, Smith, Curtis, & Hunt, 1978), a normative model of decision styles
(Chelladurai & Haggerty, 1978), and a multidimensional leadership model (Chelladurai,
1980, Chelladurai, 1990; Chelladurai & Saleh, 1980). While the mediational and
normative models have made important contributions to the sport leadership literature,
the multidimensional model will be described in further detail as it lends itself nicely for
the purposes of the present research.
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The multidimensional theory of leadership synthesized previous non-sport
leadership models (e.g. path-goal theory, House & Dressler, 1974) and extended them to
a sport context (Chelladurai & Riemer, 1998). The model proposes that athlete
satisfaction and group performance are a function of the combined effects of required,
preferred, and actual leader behavior (see Figure 1). Three antecedents affect the leader
behavior. These include situational, leader, and member characteristics. Required leader
behaviors are those necessitated by both situational and member characteristics. These
would include the parameters of the organization, its environment, governmental
regulations, age, and gender, for example (Chelladurai, 1990; Chelladurai & Riemer,
1998). Preferred leader behavior is determined by member characteristics and the
situational variables. Actual leader behavior is a function of characteristics of the leader,
required behavior, preferred leader behavior, and group performance and satisfaction.
Leader characteristics would include their personality, ability, and experiences
(Chelladurai & Riemer, 1998). Using this model of leadership as a guide, Chelladurai
and Saleh (1978, 1980) developed the Leadership Scale for Sports, a 40-item, five-factor
scale assessing specific coach leadership behaviors.
The LSS measures athletes’ perceptions of coach behavior, athletes’ preferences
of coach behavior, and coaches’ perceptions of their own behavior (Chelladurai, 1990).
Dimensions of behavior that are included assess the degree to which coaches include
training and instruction, social support, positive feedback, and autocratic and democratic
decision-making behaviors in their coaching. An autocratic decision-making style refers
to one in which the coach has the final word regarding team decisions. A coach with a
democratic style tends to include the team in the decision-making process. (Chelladurai
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& Doherty, 1998). These latter two dimensions are of particular interest for the current
study as one style of decision-making may predispose athletes to experience burnout
while the other has been found to predispose coaches towards burnout (e.g. Dale &
Weinberg, 1989; Price & Weiss, 2000; Vealey et al., 1998). As stated previously,
research investigating the influence of leadership behaviors on coach and athlete burnout
has been somewhat scarce, particularly as it relates to the moderating effects of coaches’
decision-making behaviors. However, related research has focused on coach and athlete
leadership preferences and satisfaction as a result of varying coach behaviors.
Using the multidimensional model and dimensions of the LSS as a guide, several
studies have examined athlete and coach preferences of various leadership behaviors.
For example, Chelladurai and Saleh (1978) found that athletes in team sports preferred
greater coaching behaviors emphasizing training than those in individual sports. Further,
males were found to prefer social support more than females. Chelladurai and Carron
(1983) also studied these two coaching behaviors. Their investigation assessed if
preferences for social support and training and instruction varied as a function of athletic
maturity. Their results indicated that training and instruction preferences decreased
throughout high school but increased at the university level. Preferences for social
support increased from early high school to the university level of athletics.
Research Regarding Decision-Making Style in Sport
Athlete preferences of decision-making styles have also been addressed in the
leadership literature. In this line of research, several styles of decision-making have been
identified. For example, although not developed in a sport context, Vroom and Yetton
(1973) presented a continuum of styles ranging from autocratic to group, where
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autocratic involved no participation of group members and group involved significant
input from the members. Two types of autocratic behaviors were proposed. The “truest”
form involved the leader making decisions him or herself based on the information
available at that moment. The second autocratic style had the leader collect information
from members and then make the decision on his or her own. Two types of consultative
behaviors were also included. With the first type leaders consulted members individually
and then made a decision on their own, sometimes based on the members’ feedback and
other times not. The second form involved leaders talking with members as a group and
still making their decision on their own. Finally, a group style of decision making had
leaders consulting with members and jointly making a decision.
Chelladurai and Haggerty (1978) offered three styles of sport-specific decision-
making. Autocratic behaviors where those in which the final decisions were made by the
coach. However, their concept of autocratic behaviors included those decisions that may
have been made by consulting with some or all of the members in order to obtain
information. A participative style referred to those behaviors where the decision is made
by the group along with the coach. Both parties are considered to be of equal status.
Finally, a delegative style denoted that behavior where the coach allows one or more
members of the team to make the decision and is not involved in the choice him or
herself.
Chelladurai and Saleh’s (1980) Leadership Scale for Sports proposes a dichotomy
of decision-making styles. Democratic decision-making referred to the degree in which
coaches permit participation of athletes in making choices. The coach tends to solicit
opinions and approval from athletes before moving forward. Further, the team sets its
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own goals and works at its own pace. Autocratic behaviors denoted a style characterized
by a coach who isolates him or herself when decisions are to be made and stresses his or
her authority in dealing with the team. These coaches usually expect compliance with the
decisions they make.
Research regarding these two particular types of decision-making behaviors
suggests that men may prefer coaches with more of an autocratic decision-making style
while females may prefer a democratic style (Chelladurai, & Saleh, 1978). Studies have
also shown that autocratic decision-making styles may become the style of choice for
male athletes as they progress within a sport season, and throughout several seasons from
high school to college (Chelladurai & Carron, 1983; Turman, 2003). Interestingly, while
Chelladurai, Haggerty, and Baxter (1989) found athletes in general preferred more of an
autocratic style of decision-making in their coaches, they failed to demonstrate any
gender differences.
It has been indicated that discrepancies between athletes’ perceived leader
behavior and preferred behavior can contribute to dissatisfaction with the
abovementioned components of coaches’ leadership behavior (Chelladurai, 1984). While
this may be true, burnout may also be a factor to consider as a result of this discrepancy
in both coaches and athletes. In noting that athletes cite severe practice conditions as the
most important reason for their own burnout, Vealey et al. (1998) suggested the
behaviors of the coaches who conduct the training sessions may be at the root of this
problem. Although this premise guided their own research on athlete burnout, relatively
little attention has been given to the effect coaches’ leadership behaviors, particularly
decision-making styles, have on both athlete and coach burnout.
Burnout 7
Research Regarding Decision-Making Style and Burnout
One relevant study to this line of research conducted was done so several years
ago by Dale and Weinberg (1989). These authors studied leadership style and burnout in
coaches and found those who utilized a consideration style evidenced greater emotional
exhaustion and depersonalization, two common indicators of burnout. It was noted that a
consideration style of leadership is democratic in nature and focused on interpersonal
relationships. The authors noted that coaches with this style of leadership may become
more emotionally involved with their teams and give more to them than themselves. Price
and Weiss (2000) found similar results in their research. Their study demonstrated that
coaches reporting greater levels of burnout were perceived by their athletes to utilize
democratic decision-making behaviors regarding their sport. In contrast to these two
studies, Kelley, Eklund, and Ritter-Taylor (1999) found a democratic style of leadership
to be associated with lower levels of burnout among coaches, a result described as
“striking” (p. 128) as the opposite result was expected in accordance with Dale and
Weinberg’s (1989) research. Certainly future research should address this discrepancy to
determine the exact nature of this relationship.
This line of burnout and leadership behavior research has also yielded some
disconcerting results, mainly the potential incongruity between decision-making styles
and burnout among athletes and coaches that becomes apparent when examining the
athlete burnout and leadership research. Vealey et al. (1998) examined the influence of
perceived coaching behaviors on athlete burnout. Results indicated that athletes who
scored higher on a burnout inventory also perceived their coach’s leadership style to be
more autocratic in nature. Other research has demonstrated similar trends. Price and
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Weiss (2000) found athletes reported higher levels of burnout in response to perceived
coaching behaviors that were autocratic in nature. A democratic style was associated
with less burnout in these athletes.
The results of the abovementioned research has left the burnout and leadership
arena with two significant issues that warrant future attention. First, the relationship of
decision-making style and burnout among coaches has yet to be clearly identified. As
mentioned above, research has yielded inconsistent findings. An additional issue of
concern regards the incongruity between athlete and coach burnout and coaches’
decision-making behaviors. The research has suggested the decision-making style that
has been linked to coach burnout (democratic or consideration) is one that may keep
athletes from experiencing burnout. Further, the decision-making style linked to athlete
burnout (autocratic) may be one that protects coaches from experiencing burnout. Future
research is clearly needed to further examine this issue to clarify this relationship and
reduce the likelihood of either group experiencing burnout.
Despite the related research’s contributions to the literature, methodological
improvements in assessment can be made to enhance the validity of such research. For
example, Dale and Weinberg’s (1989) study did not utilize a sport-specific leadership
questionnaire to assess coaches’ leadership behaviors. Further, although Vealey et al’s.
(1998) study included an assessment of the coach’s use of autocratic behaviors according
to athletes, they did not assess athletes’ perception of a coach’s use of democratic
behavior. Additionally, these researchers did not include a sport-specific measure to
assess coach burnout. Their sample of coaches included in the research was also limited
and unable to assume a normal distribution of scores (n=12). Price and Weiss’ (2000)
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study did not include a sport-specific instrument to assess coach burnout. Like that of
Vealey et al. (1998), their sample size of coaches was also limited (n=15). Future
research that attempts to identify the relationship between the perception of decision-
making behaviors utilized by coaches and athlete and coach burnout should consider
employing the use of sport-specific measures to assess burnout and leadership behaviors
as well al utilizing an adequate sample size of each population.
Study Purposes, Hypotheses, and Significance
The present research examined the relationship between perceived coaches’
decision-making style and athletes’ and coaches’ burnout levels in the competitive sport
of collegiate swimming. Secondary purposes included assessing gender differences
within the coach and athlete populations, as well as the interaction between decision-
making style and gender on burnout dimensions. Swimmers are a likely sample to
experience burnout due to the high intensity and increasing training conditions of
practices. Further, the rigorous training that swimmers endure during both the
competitive and off-season make the sport’s athletes and coaches more susceptible to
experiencing burnout and therefore a good population to sample from. Athletes
responding negatively to this type of training stress may be likely to experience burnout
(Silva, 1990).
It is hypothesized that as athletes perceive their coach’s decision-making style to
be more autocratic in nature their own reported levels of burnout will increase. This
would be indicated by higher scores on the physical/emotional exhaustion sport
devaluation, and reduced personal accomplishment subscales on a burnout inventory.
Further, as athletes perceive their coach’s decision-making style to be democratic their
Burnout 10
own reported levels of burnout will decrease. This would be indicated by lower scores on
the physical/emotional exhaustion, sport devaluation, and reduced sense of
accomplishment subscales on a burnout inventory. Second, it is hypothesized that as
coaches report more of autocratic style for decision-making their reported levels of
burnout will decrease. This would be indicated in the same manner as described with the
athletes using the modified version of a burnout questionnaire to fit a coaching context.
Further, as coaches report more of a democratic decision-making style their reported
levels of burnout will increase. This would indicated by the manner as described with
athletes’ scores.
Directional hypotheses for gender differences are difficult to offer due to the lack
of literature on gender and burnout with athletes, and the inconsistent literature available
regarding gender and burnout in coaches. However, because previous literature has
suggested that male athletes may prefer more autocratic decision-making behaviors than
female athletes, interaction hypotheses between gender and decision-making style are
easier to formulate. It is expected that male athletes who perceive more autocratic
behaviors will be less burnt out (denoted by their scores on the three subscales of the
burnout inventory) than their female counterparts. The same relationship is expected in
the coaching population. It is also hypothesized that coaches who are high in autocratic
behaviors and low in democratic behaviors will report less burnout than those coaches
who are higher in democratic behaviors and lower in autocratic behaviors. Athletes who
perceive their coaches to be higher in autocratic behaviors and lower in democratic
behaviors will report more burnout than those athletes who report a perception of higher
democratic and lower autocratic behaviors.
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METHODS
Participants
Athlete participants included male (n=38) and female (n=53) collegiate swimmers
(N=91). Seventy-six collegiate swimmers competed in NCAA Division I (n=49) and
Division II (n=27) programs. An additional 15 international competitive collegiate
swimmers outside of NCAA governance also participated in the study. Athletes’ ages
ranged from 19 to 25 years with a mean age of 19.98 years and a standard deviation of
2.38 years. The average number of years athletes reported swimming competitively was
11.43 with a standard deviation of 3.23 years. Athletes also reported spending an average
of 20.93 hours per week on swimming-related obligations (SD=4.74).
The coaching sample included thirty-six collegiate swimming coaches who were
affiliated with NCAA Division I (n=13), Division II (n=8), and Division III (n=9)
swimming programs. Five coaches did not report their division status and one
international collegiate swimming coach was employed outside of the United States and
exempt of NCAA governance. Twenty-three of the coaches were male and 8 were
female. Gender was not reported by 5 participants. The mean age of coach participants
was 39.64 years with ages ranging from 23 to 58 years and a standard deviation of 9.94
years. The average number of years coaches reported coaching competitive swimming
was 18.75 with a standard deviation of 9.77 years. Coaches also reported spending an
average of 50.28 hours per week on coaching-related duties (SD=16.82).
Measures Completed by Athletes
Swimmer Demographic Information Form. All collegiate swimmers completed a
demographic information form (see Appendix A) that assessed personal characteristics,
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number of years swimming competitively, number of hours spent per week on
swimming-related duties, and variables pertaining to their academic level and level of
competition.
Athlete Burnout Questionnaire (ABQ). To assess burnout in athletes the Athlete
Burnout Questionnaire (Raedeke & Smith, 2001) was used (see Appendix B). This
multidimensional inventory contains 15 items that assess three subscales of sport burnout.
Subscales include a reduced sense of accomplishment, emotional and physical
exhaustion, and sport devaluation. Participants respond to the degree each item applies to
him or her using an ordinal scale ranging from 1 to 5, with 1 denoting “almost never” and
5 denoting “almost always.” The 1st and 14th items are reversed scored. Although a
fairly new means of assessing sport-specific burnout in athletes, this inventory went
through several stages of development to establish its psychometric properties before
reaching its current state.
The first stage involved examining the psychometric properties of a preliminary
burnout scale used in Raedeke’s (1997) previous related research. This inventory was
administered to swimmers from USA Swimming and consisted of 21 items that measured
each of the three dimensions on a 5-point ordinal scale. The results of a factor analysis
verified a three-factor structure and indicated that each of the dimensions measured was
internally consistent with Cronbach’s alpha levels above .70. The total variance
accounted for in the factor analytic model was 60%. Further, the reduced sense of
accomplishment scale split into two separate factors, distinguished by the negatively or
positively worded items.
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The second stage (Raedeke & Smith, 2001) of inventory construction attempted to
further assess the psychometric properties of a revised version of the burnout
questionnaire. In addition, the authors attempted to establish convergent validity by
examining correlation coefficients with related burnout constructs, such as motivation,
stress, and coping. The authors also attempted to reduce the number of items assessing
each dimension to five and to better fit the swimming context. Five additional face-valid,
trial items were also included in case some of the core items failed to load significantly
on their respective subscale. Again, swimmers from USA Swimming served as
participants. Confirmatory factor analysis showed that the revised items loaded with
significance to the appropriate subscale and the Cronbach’s alpha for each dimension was
above .80 and was deemed a good fit for the data. Two items were replaced with trial
items due to a cross-loading with the other dimensions which strengthened the
psychometric properties of the subscales. There were no indications of the reduced sense
of accomplishment scale splitting in two factors as in the first stage. Construct validity
was demonstrated as burnout scores showed a positive and moderate relationship with
stress and amotivation measures. Further, low to moderate negative relationships were
found between burnout scores and social support, enjoyment, and intrinsic motivation
measures (Raedeke & Smith, 2001).
The third stage (Raedeke & Smith, 2001) involved assessing the generalizability
of the Athlete Burnout Questionnaire to other sport settings and giving further attention
to its psychometric properties. Participants were collegiate athletes in basketball, cross-
country, soccer, softball, tennis, track and field, and volleyball. The term “swimming”
was replaced with “sport,” and “swim” with “perform” on the 15-item questionnaire.
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Confirmatory factor analysis indicated that items again loaded significantly and were
found to be a good fit with the data. One item was replaced with a trial item and was
shown to be a better fit. Construct validity was established through correlations between
burnout scores and related constructs. Correlation coefficients between burnout scores
and motivation were similar to that of the second stage. Positive, low to moderate
relationships were found between burnout scores and competitive trait anxiety.
Enjoyment and commitment coefficients were negatively related to burnout scores and
were high or moderate in degree. The questionnaire was re-administered seven to nine
days following the first assessment in this stage. Test-retest reliability was demonstrated
for emotional/physical exhaustion, reduced sense of accomplishment, and sport
devaluation with coefficients of .92, .86, and .92, respectively. Through demonstrated
reliability and validity, the authors deemed the Athlete Burnout Questionnaire to be a
psychometrically sound instrument and available for use in a variety of competitive sport
situations.
Leadership Scale for Sports (LSS: Athlete Perception). To assess athletes’
perceived decision-making style of their coaches, Chelladurai and Saleh’s (1978, 1980)
Leadership Scale for Sports was utilized (see Appendix C). The LSS is a 40-item
inventory that assesses several dimensions of coaches’ leadership behaviors. These
include social support, training and instruction, positive feedback, autocratic behavior,
and democratic behavior. The latter two dimensions are of interest to the present study
due the potential incongruity they have regarding coach and athlete burnout. Research
has suggested that coaches utilizing a democratic decision-making style may be more
likely to experience burnout. However, a democratic style of decision-making may keep
Burnout 15
athletes from burnout out. An autocratic decision-making style may keep coaches from
burning out but may enhance the likelihood athletes experiencing burnout (Dale &
Weinberg, 1989; Price & Weiss, 2001). There are three versions of the LSS. One form
examines athletes’ preferences of coach leadership behavior. Another assesses athletes’
perception of their coach’s leadership behaviors. The last assesses the coach’s perception
of their own leadership behaviors. The latter two forms were used in the present study.
In completing the leadership perception inventory athletes are asked to respond by
indicating how often their coach exhibits particular leadership behaviors. Their answers
for each question are anchored from 1 to 5, with 1 denoting “always” and 5 denoting
“never.”
In its first stage of development (Chelladurai & Saleh, 1978), the LSS contained a
pool of 99 items modified or created from already existing leadership scales. One
hundred sixty male and female physical education students completed the inventory, the
results of which were factor analyzed. This analysis yielded a similar five-factor model
that the current LSS contains (training behavior, social support, rewarding behaviors,
autocratic behaviors, democratic behaviors). Items that were retained from this first stage
were those that had a loading of at least .40 for their respective subscale, but did not load
above .30 for any other scale. Thirty-seven items met these criteria and were therefore
retained for further inventory development.
The second stage of development (Chelladurai & Saleh, 1980) included the
addition of 13 new items. Because no items of the training subscale examined teaching
behaviors of coaches, seven items were added to this subscale in order to assess
instructing behaviors. In addition, six more items on the social support subscale were
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also included. Further, before administering this revised, 50-item scale to participants the
authors quantified the intermediate response categories. Behaviors classified as
occurring “often,” “occasionally,” and “seldom” were assigned frequencies of 75%, 50%,
and 25%, respectively. This was done to clarify the frequencies of the classifications for
participants. Physical education students completed a form assessing their preferences of
coach behaviors. Varsity athletes were also assessed on their preferences and perceived
coach behaviors. Following the completion of this inventory, factor analyses were again
conducted on all three sets of data. In order for an item to be retained from this second
evaluation it needed to have its highest loading on the same factor of each of the three
data sets. In addition, its loading was required to be at least .30 in two of the three data
sets. Using these criteria, 40 items were retained. Thirteen items were kept for the
training and instruction subscale, 8 items for the social support subscale, 5 items for the
positive feedback scale, 5 items for the autocratic behavior subscale, and 9 items for the
democratic behavior subscale. The authors note that coefficients of determination for the
physical education students’ preferences, athletes’ preferences, and athletes’ perceptions
were 41%, 39%, and 56%, respectively.
Cronbach’s alpha coefficients were calculated for each of the five subscales in all
three data sets (physical education students’ preferences, athletes’ preferences, and
athletes’ perceptions). All coefficients were above .70 except the autocratic scores for
the physical education students (.66) and the athletes’ preferences (.45). To establish
test-retest reliability of the LSS the Chelladurai and Saleh (1980) administered the form
to the physical education students with an interval of four weeks between testings. Test-
retest reliability coefficients ranged from .71 to .82 and were deemed adequate.
Burnout 17
To further demonstrate factorial validity the authors compared the factor structure
from the versions of the scale administered to athletes with that of the physical education
students. The factor structure from the first stage of scale development (Chelladurai &
Saleh, 1978) was also used in comparison. Results revealed that the structure was similar
across the three data sets as well as in comparison to that of the first stage. From this
finding authors concluded the factor structure replicable and stable. Further, from their
two-staged analyses for scale development, the authors suggested the final version of the
LSS could be used successfully to examine coaching behaviors.
Measures Completed by Coaches
Swimming Coach Demographic Information Form. All collegiate swimming
coaches completed a demographic information form (see Appendix D) that assessed
personal characteristics, number of years coaching swimming competitively, number of
hours spent per week on swimming-related duties, and variables pertaining to their
academic level and level of competition.
Coach Burnout Questionnaire (CBQ). Because there is no known sport-specific
coaching burnout measure available to date, a modified version of the Athlete Burnout
Questionnaire was developed to assess burnout levels in coaches (see Appendix E). To
develop the coach version of the Athlete Burnout Questionnaire the researcher modified
each of the 15 items in the original questionnaire to reflect coaching rather than playing
their respective sport. For example, “I’m accomplishing many worthwhile things in
swimming” was changed to “I’m accomplishing many worthwhile things in coaching
swimming.” Once each of the items was modified accordingly, the coach version of the
inventory was submitted to an expert panel of four members who were former
Burnout 18
competitive swimmers in addition to teaching swimming courses. Each member was
asked to review the original and modified version of the questionnaire and determine if
each item appeared to fit under its respective subscale. In addition, members were asked
to determine if each modified item retained its original meaning and clarity as compared
to the original item. Panel members responded to these three questions for each item of
the questionnaire using a Likert scale ranging from 1 to 5, with 1 denoting that they
strongly disagree and 5 denoting strong agreement. The question regarding the retention
of meaning of new items was reversed scored. No items were found by the panel to be
inappropriately modified. Two minor changes in wording were made based on consensus
of the panel. Based on their suggestions, this final modified version appeared to have
content validity and served as the coach version of the burnout questionnaire.
Leadership Scale for Sports (LSS: Coach Perception). The coach perception
version of the Leadership Scale for Sports was used to assess coaches’ perception of their
own decision-making behaviors (see Appendix F). The inventory was created with the
athlete perception and athlete preference versions using the same procedure previously
described for the collegiate swimmer sample. However, in their analysis of the
measures’ psychometric properties, Chelladurai and Saleh (1978, 1980) excluded the
coach version of the LSS. Other research, however, has demonstrated adequate
psychometric properties of this version of the LSS. Turman (2003) utilized all three
versions in research with coaches and athletes. Internal consistencies for the coach
perception version were above .70 for all five subscales, with Cronbach’s alpha scores of
.72 and .79 for the autocratic and democratic subscales, respectively. However, because
previous research has found the autocratic subscale to have questionable internal
Burnout 19
consistency (Dwyer & Fischer, 1988) this component of the LSS was of concern to the
present research. To combat the potentially inadequate reliability of this subscale,
improvements to its internal consistency were attempted based on previous research by
Price and Weiss (2000). These authors added three additional items to the autocratic
subscale in an attempt to improve its internal consistency. Their items included “makes
decision regardless of what athletes think,” “does not take into account athletes’
suggestions when making decisions,” and “controls what athletes can and cannot do.”
These additions resulted in adequate reliability for this subscale. Therefore, these same
additions were used for the present study after having obtained permission from Price and
Weiss.
Procedures
Athletes. Two rounds of data collection were used to obtain the sample of
collegiate swimmers used in data analyses. The first site used for data collection was a
major international swimming competition held in the Midwest. A proposal explaining
the study’s purposes and procedures was prepared and forwarded to the event’s executive
director for review and permission to survey collegiate swimmers participating and/or
volunteering at the championships. Upon being granted permission, the site where data
collection would occur was discussed and finalized. It was decided that a table would be
set up in the vicinity adjacent to the registration area where all swimmers either
competing in or volunteering for the event would pass through to receive their
credentials. The researcher used the table to store study inventories in addition to
displaying the prizes used for a raffle for those who completed the questionnaires. A
Burnout 20
large sign was also displayed on the table to get competitors’ and volunteers’ attention as
they passed through the registration area and recruit them for participation.
When potential participants arrived to receive their credentials, the researcher
approached them to assess if they were collegiate swimmers and if so, whether or not
they would be interested in participating in the research. All individuals approached were
explained the purposes and procedures of the study. Those willing to participate were
given an envelope containing a cover letter explaining the nature of the study (see
Appendix G), a demographic information sheet, the Athlete Burnout Questionnaire, and
the athlete perception version of the Leadership Scale for Sports. Each packet was
counterbalanced so that order of inventory completion would not influence the results of
the research. All participants were told to keep the cover letter that contained
information on how to contact the researcher if there were questions or concerns.
Participants were also instructed to complete the inventories, place them the envelope,
and seal it when finished. Once envelopes were returned to the researcher, each
participant selected a piece of paper from a basket and told to open it. If the paper
contained a star, he or she won one of the prizes on the display table. Each individual
was thanked for their participation following the raffle.
To increase the sample size of collegiate swimmers, a second round of athlete
data collection was conducted and involved the assessment of collegiate swimmers in the
southeast region of the United States. The researcher contacted the head coach of
swimming programs in this region via phone and/or e-mail to discuss the purposes and
procedures of the study. A time was set up with those teams willing to participate in the
research when the investigator would visit teams before or after practice to administer the
Burnout 21
study’s inventories. At each meeting, the researcher explained the nature of the study as
was done with the data collected at the championships. Those collegiate swimmers
willing to participate were given an envelope containing the questionnaires and asked to
place the inventories back in the envelope once finished. When returning the sealed
enveloped to the researcher, each individual was thanked for their participation in the
study. Between both rounds of data collection, 22 “elite” athletes who were competing in
the Championships were sampled. 69 collegiate swimmers not participating in the event
were also sampled.
Coaches. Two rounds of data collection were also conducted to obtain the
swimming coach data used in analyses. The first round occurred at a world swimming
coach’s clinic held in the Midwest. A proposal explaining the study’s purposes and
procedures was prepared and forwarded to the sponsoring association’s executive director
for review and permission to survey collegiate swimming coaches attending the clinic.
Upon being granted permission, the site where data collection would occur was discussed
and finalized. Similar to the championships, it was decided that a table would be set up
in the vicinity adjacent to the registration area where all swimming coaches attending the
event would pass through to receive their name tags and conference materials. The
researcher used the table to store study inventories in addition to displaying the prizes
used for a raffle for those coaches who completed the questionnaires. A large sign was
also displayed on the table to get collegiate coaches’ attention as they passed through the
registration area and recruit them for participation. This was particularly useful as
coaches from other levels of competition (i.e. club, high school) were attending the
conference as well.
Burnout 22
When potential participants arrived to receive their materials, the researcher
approached them to assess if they were collegiate swimming coaches and if so, whether
they would be interested in participating in the research. All individuals approached were
explained the purposes and procedures of the study. Those willing to participate were
given an envelope containing a cover letter explaining the nature of the study, a
demographic information sheet, the Coach Burnout Questionnaire, and the coach
perception version of the Leadership Scale for Sports. Each packet was counterbalanced
so that order of inventory completion would not influence the results of the research. All
participants were told to keep the cover letter that contained information on how to
contact the researcher if there were questions or concerns. Participants were also
instructed to complete the inventories, place them the envelope, and seal it when finished.
Once envelopes were returned to the researcher, each participant selected a piece of paper
from a basket and told to open it. If the paper contained a star, he or she won one of the
prizes on the display table. Each individual was thanked for their participation following
the raffle. 25 coaches were sampled during this first round of data collection.
Previous research has evaluated the psychometric equivalency of Internet-based
research and found that data collection on the web is a valid, reliable, and cost-effective
method of acquiring data similar to that obtained when using traditional paper and pencil
methods (Metzger, Kristof, & Yoest, 2003; Meyerson & Tryon, 2003; Miller, Neal,
Roberts, Baer, Cressler, Metick, et al., 2002). Therefore, to increase the sample size of
swimming coaches, additional data were obtained by placing coach inventories on the
Internet under the domain of the university the researcher was affiliated with. Contact
was made by the researcher with the executive director of a national collegiate coach’s
Burnout 23
swimming association. After explaining the nature of the study, permission was granted
to e-mail a link to the website containing the inventories to the members of this
association. Each member received an e-mail explaining the purpose and procedures of
the study in addition to a request for their participation. Those who were willing to
complete the inventories clicked on a linked that took them to a webpage containing a
cover letter that provided additional information regarding the study and the contact
information of the researcher. A link was provided on the bottom of the cover letter that
took participants to the webpage containing the internet version of the demographic form,
the Coach Burnout Questionnaire, and the coach perception of the Leadership Scale for
Sports. Once coaches completed the forms online, they were instructed to click “submit”
at the bottom of the webpage. This transmitted the anonymous data through an e-mail to
the researcher. Clicking “submit” also took participants to a final webpage thanking
them for their participation in the research. The results of this second round of data
collection yielded an additional 11 swimming coach participants.
RESULTS
The results of the study are organized in two sections. The first section addresses
those analyses conducted with the data obtained from the collegiate swimmers sample.
Preliminary analyses were run on the inventories completed by the athletes (i.e. the
Athlete Burnout Questionnaire and Leadership Scale for Sports) to provided descriptive
statistics in addition to assessing the scales’ internal consistency using Cronbach’s alpha
coefficients. In addition, independent sample t-tests were used to assess any differences
in burnout and perception of decision-making style between the “elite” collegiate
swimmers competing in the World Swimming Championships and those swimmers not
Burnout 24
competing in the Championships in order to determine if these groups could be combined
for the purposes of the subsequent data analyses. To examine the relationship between
athletes’ reported levels of burnout and their perception of their coach’s decision-making
style, Pearson product-moment correlation coefficients were computed. Two-way
analyses of variance (ANOVA) were also conducted to evaluate the interactions between
perceptions of decision-making style and gender on swimmers’ reported levels of
burnout. ANOVAs were also used to examine the interaction of both decision-making
styles on burnout in collegiate swimmers. Finally, stepwise multiple regression analyses
were used to determine the predictive value of assessing athletes’ perception of coaches’
decision-making style on these collegiate swimmers’ reported burnout levels.
The second section reports those analyses conducted on the data acquired from
collegiate swimming coaches. Preliminary analyses were also run on the data provided
by this sample that included descriptive statistics in addition to computing Cronbach’s
alpha coefficients to determine the internal consistency of inventory subscales. In
addition, independent sample t-tests were used to assess any differences in burnout and
perception of decision-making style between the coaches surveyed via paper and pencil
inventories at the World Clinic and those coaches surveyed over the Internet to determine
if these two methodologies produced similar results. Pearson product-moment
correlation coefficients were utilized to examine the relationship between coaches’
perception of their decision-making behaviors and their reported levels of burnout.
Independent sample t-tests were used to determine the differences in burnout among male
versus female coaches in addition to differences on burnout between those coaches
Burnout 25
classified as being high or low in terms of their autocratic and democratic decision-
making behaviors.
Preliminary Analyses for Collegiate Swimmers
To assess the reliability of the Athlete Burnout Questionnaire and Leadership
Scale for Sports: Athlete Perception subscales, internal consistencies were calculated
using Cronbach’s alpha coefficients (See Table 1). All alpha coefficients were above .70.
Notable is that the reliability for the autocratic subscale of the LSS was also adequate
with an alpha coefficient of .80. This is encouraging considering literature has previously
noted the potential problems associated with the internal consistency of this subscale
(Dwyer & Fischer, 1988).
Descriptive data (e.g. means and standard deviations) for swimmers’ perceptions
of coaches’ decision-making style for those subscales of the LSS in addition to their
reported levels of burnout of each subscale of the ABQ can also be found in Table 1. The
means for athletes’ perception of their coach’s decision-making style are comparable to
those reported by Chelladurai (personal communication, March 1, 2004). An analysis of
those studies using the athlete perception version of the Leadership Scale for Sports
yielded an average democratic score of 3.05 (SD= .71) and an average mean for the
autocratic scores of 2.64 (SD=.72). Because the Athlete Burnout Questionnaire was
published recently (2001), norms were not yet available for comparison with the present
study’s results.
To examine any potential differences in the data obtained from those “elite”
collegiate swimmers competing in the World Swimming Championships and those
swimmers who did not compete in the event, independent sample t-tests were utilized.
Burnout 26
The only significant difference between the two groups of collegiate swimmers was on
the democratic subscale of the Leadership Scale for Sports (t (89) = -2.5, p<.05). “Elite”
swimmers reported perceiving significantly more democratic behaviors of their coaches
than did those swimmers not competing in the Championships. It should be noted,
however, that the mean difference between group scores was .38 and was not deemed
practically significant for the purposes of the present study. Both groups of collegiate
swimmers did not significantly differ on any subscales of the Athlete Burnout
Questionnaire or the autocratic subscale of the Leadership Scale for Sports. Therefore,
both athletic groups were combined into one group for the purpose of subsequent data
analyses.
Relationship Between Perceived Decision-Making Style and Burnout Among Swimmers
The primary purpose of the present research was to determine the relationship
between athletes’ perceived decision-making style of coaches and both coach and athlete
burnout. To examine the relationship between collegiate swimmers’ perceived decision-
making style of their coaches and their own reported levels of burnout, Pearson product-
moment correlations were computed (see Table 2). The results revealed a statistically
significant inverse relationship between swimmers’ perception of a democratic decision-
making style and their reported levels of burnout on all three subscales (e.g. exhaustion,
sport devaluation, reduced sense of accomplishment). Correlation coefficients ranged
from r= -.27 to -.33 (p<.01). Results also revealed significant relationships between
swimmers’ perception of an autocratic decision-making style of their coaches and their
reported levels of burnout on all three subscales. Correlation coefficients from this
analysis ranged from r= .22 to .32 (p<.05). These results suggest that as collegiate
Burnout 27
swimmers perceive their coaches to use more of an autocratic style in making decision,
their own levels of burnout increase correspondingly. Further, as collegiate swimmers
perceive their coaches to utilize a democratic approach to decision-making, their own
levels of burnout decrease. However, while statistically significant, the obtained
correlation coefficients between athletes’ perceptions of the decision-making style of
their coaches and their levels of burnout were low.
Gender, Autocratic Decision-Making Style, and Burnout Among Swimmers
To assess any interactions between collegiate swimmers’ gender and a perceived
coaches’ autocratic decision-making style on their burnout levels, three, two-way (gender
x high/low autocratic) ANOVAs were utilized. Each burnout subscale (e.g. exhaustion,
sport devaluation, reduced sense of accomplishment) served as a dependent variable for
each two-way ANOVA conducted. MANOVAs were not employed due to the
insufficient cell sizes and statistical power necessary to carry out this statistical
procedure. Collegiate swimmers’ scores on the perceived autocratic decision-making
behavior subscale of the LSS were recoded into either high or low autocratic perception
categories. A median split was used to determine if scores were categorized as high or
low. Those scores above the median were classified as high autocratic perception and
those below classified as low autocratic perception.
The results of the ANOVAs revealed no statistically significant interactions
between gender and high/low autocratic perceptions of collegiate swimmers on any of the
three subscales of burnout. Further examination revealed no significant main effects for
gender or high/low autocratic perception on any of the three burnout subscales. Although
not statistically significant, trends in the data revealed that collegiate swimmers
Burnout 28
perceiving their coach to be more autocratic in their decision-making reported higher
levels of burnout on the sport devaluation and reduced sense of accomplishment
subscales compared to those athletes perceiving their coach as being less autocratic in
their decision-making.
Gender, Democratic Decision-Making Style, and Burnout Among Swimmers
Three two-way (gender x high/low democratic) ANOVAs were also computed to
examine any interactions between collegiate swimmers’ gender and a perceived coaches’
democratic decision-making style on these athletes’ own levels of burnout. Again, each
burnout subscale (e.g. exhaustion, sport devaluation, reduced sense of accomplishment)
was used as a dependent variable for each ANOVA conducted. Swimmers’ scores on the
perceived democratic decision-making behavior subscale of the LSS were recoded as
being either a high or low democratic perception. Similar to the autocratic scale, a
median split was used to determine if scores were categorized as high or low. Those
scores above the median were classified as high democratic perception and those below
categorized as a low democratic perception of coaches’ decision-making style.
The results of the ANOVAs revealed no significant interactions between gender
and high/low democratic perceptions of collegiate swimmers on any of the three burnout
subscales. No significant main effects were found for gender on any of the burnout
subscales. However, statistically significant main effects did emerge for high/low
democratic decision-making behaviors as a result of the analyses. A significant main
effect was found for high/low perceptions of democratic behaviors with regards to the
exhaustion burnout subscale (F (1, 87) = 6.13, p<.05, η2=.07). Those swimmers
perceiving their coach to use a high degree of democratic decision-making behaviors
Burnout 29
reported significantly less emotional and physical exhaustion than those reporting their
coaches to be less democratic. A significant main effect was also found for high/low
perceptions of democratic behaviors regarding the sport devaluation burnout subscale
(F (1, 87) = 7.23, p<.01, η2= .08). Collegiate swimmers perceiving their coach as using a
high degree of democratic decision-making behaviors reported significantly less sport
devaluation than those swimmers reporting their coaches to be less democratic.
The Influence of Both Decision-Making Styles on Swimmers’ Burnout
Three two-way (high/low autocratic x high/low democratic) ANOVAs were also
computed to examine any interactions between both decision-making styles and burnout
among collegiate swimmers. Again, each burnout subscale (e.g. exhaustion, sport
devaluation, reduced sense of accomplishment) was used as a dependent variable for each
ANOVA conducted. Swimmers’ scores on the perceived democratic and autocratic
decision-making behavior subscales of the LSS were recoded as being either a high or
low perception. A median split was used to determine if scores were categorized as high
or low. Those scores above the median were classified as a high perception and those
below categorized as a low perception of coaches’ decision-making style.
The results revealed no significant interactions between both decision-making
styles on collegiate swimmers’ levels of burnout. Significant main effects were found for
the democratic subscales on the exhaustion (F (1, 87)= 5.73, p<.05, η2= .06) and sport
devaluation (F (1, 87)= 5.52, p<.05, η2= .06) burnout subscales. Collegiate swimmers
perceiving their coaches to use a higher degree of democratic decision-making behaviors
reported significantly less burnout on these subscales than those swimmers reporting a
low perception of democratic decision-making behaviors.
Burnout 30
Does Perception of Decision-Making Style Predict Burnout Among Swimmers?
Because it was hypothesized that collegiate swimmers’ perception of their coach’s
decision-making style would influence their own reported levels of burnout, it was
logical to ascertain the predictability of decision-making style on swimmers’ burnout. To
examine this, three stepwise multiple regression analyses were conducted. Each burnout
subscale served as the criterion variable in each analysis. To determine what, if any,
additional demographic predictor variables should be included in the analyses (besides
autocratic and democratic decision-making styles), in addition to testing for
multicolinearity, a Pearson product-moment correlation matrix was utilized. The results
revealed no significant relationships between athletes’ demographic information (e.g.
number of years swimming competitively, number of hours per week spent on
swimming-related duties) and any of the three burnout subscales. Therefore, no
additional demographic variables were included in the regression analyses. Further,
neither of the predictor variables (autocratic decision-making style, democratic decision-
making style) were found to be highly correlated with one another. Therefore,
multicolinearity was not of concern.
The only statistically significant predictor of the emotional and physical
exhaustion component of burnout was the perception of a democratic decision-making
style (F (1, 89) =7.39, p<.01). However, this model was only found to account for just
under 8% of the variance in the exhaustion burnout subscale (R2=.078). Two models
were found to account for a statistically significant amount of the variance in the sport
devaluation subscale of burnout. The most parsimonious of the two found perceptions of
both a democratic and autocratic decision-making style to be significant predictors of
Burnout 31
depersonalization (F (2, 89) =8.49, p<.001). This model, while significant, only
accounted for about 16% of the variance in the criterion variable (R2=.163). For the
reduced sense of accomplishment subscale of burnout, a model containing only a
perception of democratic decision-making behaviors accounted for a statistically
significant amount of the variance (F (1,89) =7.25, p<.01). However, this model was
found to account for about 7% of the variance of this criterion variable (R2= .076).
Preliminary Analyses for Collegiate Swimming Coaches
To assess the reliability of the Coach Burnout Questionnaire and Leadership Scale
for Sports: Coach Perception subscales, internal consistencies were calculated using
Cronbach’s alpha coefficients (See Table 1). Scores ranged from .80 to .93 for the three
burnout subscales (e.g. exhaustion, sport devaluation, reduced sense of accomplishment).
The preliminary support for the internal consistency of this questionnaire is an
encouraging finding as no sport-specific burnout measure is currently available for the
assessment of coach burnout. Cronbach’s alpha coefficients for the perceptions of
democratic and autocratic decision-making behaviors were slightly lower. This was
particularly true for the autocratic subscale for which its low reliability has been reported
in previous research (Dwyer & Fischer, 1988). A certain degree of caution should be
exerted when evaluating the results of the coach data due to the lower reliability of this
leadership subscale.
Descriptive data (e.g. means and standard deviations) for swimming coaches’
perceptions of each decision-making style in addition to their reported levels of burnout
can also be found in Table 1. Coaches in the present study reported using significantly
more democratic than autocratic behaviors. These results are similar to those found by
Burnout 32
Dwyer and Fischer (1988) whose sample of wrestling coaches yielded a comparable
pattern.
To examine any differences between coaches surveyed via paper and pencil
questionnaires at the World Coach Clinic and those coaches completing inventories over
the Internet, independent samples t-tests were utilized. The results revealed no
significant mean score differences between the two groups on any of the burnout
subscales or the decision-making subscales of the Leadership Scale for Sports. This
suggests that both groups responded to the questionnaires similarly.
Relationship Between Perceived Decision-Making Style and Burnout Among Coaches
To examine the relationship between collegiate swimmers coaches’ perceived
decision-making style and their own reported levels of burnout, Pearson product-moment
correlations were computed (see Table 2). The results revealed no statistically significant
relationships between the perception of either possessing an autocratic or democratic
decision-making style and coaches’ scores on any of the three burnout subscales (e.g.
exhaustion, sport devaluation, reduced sense of accomplishment. Further, trends in these
analyses did not suggest that a particular relationship between decision-making style and
burnout in coaches might exist.
Gender, Decision-Making Style, and Burnout Among Coaches
To assess any differences in collegiate swimming coaches’ gender on their
burnout levels, three independent t-tests were utilized. Two-way ANOVAs were not
employed to examine gender and decision-making style influences on burnout due to
insufficient cell sizes and statistical power necessary to conduct such analyses. Each
burnout subscale (e.g. exhaustion, sport devaluation, reduced sense of accomplishment)
Burnout 33
served as a dependent variable for each t-test conducted. No significant differences were
found between males and females on any of the burnout subscales.
To examine differences in burnout between coaches categorized as using high
versus low levels of democratic or autocratic decision-making behaviors, six additional
independent t-tests were utilized. Three t-test analyses were computed for each decision-
making style, one for each of the three burnout subscales serving as the dependent
variable. Collegiate swimming coaches’ scores on their perceived autocratic and
democratic decision-making behavior subscales of the LSS were recoded into either high
or low perceptions. A median split was used to determine if scores were categorized as
high or low. Those scores above the median were classified as a high perception and
those below classified as a low perception. No significant differences were found on any
of the three burnout subscales between those coaches classified as using a high or low
degree of democratic or autocratic decision-making behaviors. This finding is consistent
with the absence of relationships found between coaches’ perceptions of their decision-
making style and their reported burnout.
DISCUSSION
The primary purpose of the present research was to investigate the influence that
coaching behaviors can have on burnout in coaches and athletes. In particular, the
relationship between perception of coaches’ decision-making style and burnout among
collegiate swimmers and swimming coaches was examined. Previous research has
suggested that coaches utilizing a democratic decision-making style may be more likely
to experience burnout. Conversely, a democratic style of decision-making may help
protect athletes from burning out. Further, an autocratic decision-making style may keep
Burnout 34
coaches from burning out but may enhance the likelihood athletes experience burnout
(Dale & Weinberg, 1989; Price & Weiss, 2001; Vealey et al., 1998). This potential
incongruity served as the focal point of the present research. It should be noted, however,
that because many of the athletes and coaches surveyed were not from the same
swimming programs, between-group inferences could not be made. Further, this design
did not provide the opportunity to account for any team interactions between coaches and
athletes that may explain the perception of decision-making behaviors.
The Influence of Decision-Making Style on Collegiate Swimmers’ Burnout
As hypothesized for the athlete sample, collegiate swimmers’ levels of burnout on
all three subscales (e.g. exhaustion, sport devaluation, reduced sense of accomplishment)
were significantly related to their perception of coaches’ use of autocratic and democratic
decision-making styles. As swimmers perceived their coach to utilize more of an
autocratic decision-making style, swimmers’ reported levels of burnout on all three
subscales increased. Further, as collegiate swimmers perceived their coach to utilize
more of a democratic decision-making style, swimmers’ reported levels of burnout on all
three subscales decreased. However, although statistically significant, readers should be
cautioned as the strength of the correlation coefficients was small. Squaring these values
reveals that decision-making style only accounted for between four to eleven percent of
the variance in the burnout subscales. This suggests that there are other constructs that
may be accounting for more of the variance in burnout scores that was not assessed with
the present research.
The relationships between swimmers’ perceived decision-making style of their
coach and swimmers’ reported level of burnout were further confirmed by the results of
Burnout 35
the two-way ANOVAs and multiple regression analyses performed on the swimmers’
data. Significant main effects were found for swimmers’ perception of a high versus low
degree of democratic decision-making behaviors and their scores on the exhaustion and
sport devaluation burnout subscales. This suggests that collegiate swimmers perceiving
their coaches to be more democratic in their decision-making reported significantly less
burnout on these subscales than those swimmers’ perceiving their coaches to use fewer
democratic decision-making behaviors. In addition, perception of decision-making style
was found to significantly predict all three subscales of burnout among collegiate
swimmers. For the exhaustion and reduced sense of accomplishment subscales, the
perception of a democratic decision-making style emerged as a significant predictor of
athlete burnout. Perceptions of a democratic and autocratic decision-making style were
found to significantly predict the sport devaluation component of athlete burnout.
Collectively, these results suggest that collegiate swimmers’ perception of their coach’s
decision-making style, particularly a democratic style of decision-making, has some
influence on swimmers’ reported levels of burnout. When interpreting these results it
should be noted that the effect sizes generated by the ANOVA analyses were small in
nature. Further, the coefficientss of determination for each of the significant regression
models were small, suggesting that the predictive value of decision-making style only
accounted for between seven and sixteen percent of the variance in burnout scores.
It is of interest that swimmers’ perception of a democratic decision-making style
emerged from the analyses as the more salient of the two types of decision-making styles.
A likely explanation for this finding may rest in the type of sport used for the present
research. Weinberg and Gould (1999) noted that athletes participating in interactive,
Burnout 36
team sports may prefer more of an autocratic style of decision-making than athletes
taking part in a coactive sport such as swimming. Although swimming can be considered
a team sport, the nature of training and competition is such that members often participate
individually. Partially due to the mere nature of their sport, swimmers’ responses to the
inventories may have reflected the preference for a democratic style which would help
explain why more democratic than autocratic behaviors were reported by both swimmers
and swimming coaches. It might also explain why a democratic perception of decision-
making style was more strongly and consistently linked to burnout in swimmers in the
present study compared to an autocratic perception.
The results of the swimmers’ data mirror those of previous research examining
the influences of coach leadership on athlete burnout within a multidimensional model of
leadership. Price and Weiss (2000) and Vealey et al. (1998) also found the perception of
an autocratic decision-making style among athletes to be linked to greater athlete
burnout. Price and Weiss further revealed in their study that athletes perceiving their
coach to utilize more of a democratic style of leadership also reported feeling less burnt
out. Because democratic coaches elicit feedback from their athletes regarding decisions
about their team, these athletes may perceive to have more control over and meaning in
their sport participation. These perceptions may help act as a buffer against the physical
and psychological stressors that, over time, can eventually lead to burnout if untreated.
On the other hand, autocratic coaches do not invite feedback from their athletes. This
could contribute to a lack of perceived control and meaning among athletes regarding
their sport involvement and could partially contribute to an extreme training environment
that Vealey et al. (1998) noted athletes cite as the most significant cause of burnout. The
Burnout 37
results also support the findings of Udry and colleagues (1997), that suggested that
athletes coping with burnout often view their sport interactions with important others
(including coaches) as more negative than positive. The perception of an autocratic
decision-making style of their coach could fit into collegiate swimmers’ negative
perception of important others.
The secondary purpose of the present research was to examine the collective and
individual influence of gender and decision-making style on collegiate swimmers’
burnout, in addition to the interaction of both decision-making styles on swimmers’
burnout. Previous research has found that males may prefer more of an autocratic style
of decision-making from their coaches compared to their female counterparts
(Chelladurai, & Saleh, 1978; Chelladurai & Carron, 1983; Turman, 2003). For this
reason, it was expected that male collegiate swimmers perceiving their coach to utilize
more autocratic decisions would report less burnout than females. The results of the
analyses did not support this hypothesis. Interestingly, collegiate swimmers did not
significantly differ between genders on their level of burnout on any of the three
subscales. Although males have been found to prefer an autocratic style of decision-
making more than females, it may be that this preference does little to influence the
degree of burnout that male athletes experience in comparison to females.
The failure to reveal significant gender differences in burnout among athletes
does, however, support previous research conducted by Lai and Wiggins (2003). In
conducting their research, these authors utilized coach burnout research to formulate their
hypotheses regarding gender differences. Because little research has examined gender
differences in burnout among athletes, it is important that future studies do so in the
Burnout 38
hopes that such hypotheses can be made using the results of athlete data rather than that
of coaches. Although the present study did not reveal gender differences in burnout
among collegiate swimmers, it did mimic those results of previous research and will
provide future burnout studies with a basis from which to work from.
It was also of interest that the two decision-making styles did not interact
significantly to influence burnout among collegiate swimmers. This suggests that for the
collegiate swimmers and swimming coaches surveyed, a particular combination of both
decision-making styles did not influence the degree of burnout either group experienced.
Prior to this study, research had not examined the potential interaction between these two
leadership characteristics.
The Influence of Decision-Making Style on Collegiate Swimming Coaches’ Burnout
The purpose of this study was also to examine the relationship between coaches’
perception of their decision-making style and coaches’ reported levels of burnout.
Previous research has suggested that the use of a democratic decision-making style might
predispose coaches to experiencing burnout (Dale & Weinberg, 1989; Price & Weiss,
2000; Vealey et al., 1998) while an autocratic decision-making style may help prevent
them from experiencing burnout. Kelley et al. (1999) suggested this may be due to the
additional stress that comes with being sensitive to their athletes’ opinions and
preferences while still attending to their normal duties as the coach.
Based on this previous research, it was hypothesized that as collegiate swimming
coaches perceived themselves to utilize more of a democratic style of decision-making,
their reported levels of burnout would increase. Further, as these coaches reported more
of an autocratic style of decision-making, their levels of burnout would decrease. The
Burnout 39
results of the analyses did not support this hypothesis; collegiate swimming coaches’
perception of their decision-making style was not found to be significantly related to any
of the three burnout subscales. Subsequent analyses confirmed this finding, as coaches
classified as being high in their use of autocratic or democratic decision-making
behaviors did not significantly differ from one another on any of the three burnout
subscales. There were no differences in burnout revealed between male and female
coaches as well. Finally, perception of decision-making style did not significantly predict
burnout in collegiate swimming coaches.
Several propositions can be offered in understanding why no link was found
between coaches’ perception of their decision-making style and their reported levels of
burnout. The present study was one of the few to isolate a particular type of leadership
behavior and examine its influence on both athlete and coach burnout (e.g. decision-
making style). It is likely that the role of coaches’ decision-making style by itself is not
of significant importance in understanding coach burnout. Rather, its impact on coach
burnout may be more prominent when taken into consideration with other types of
leadership (i.e. social support, feedback, training and instruction) or other variables (role
ambiguity, role conflict, anxiety, etc.). Because burnout is now seen as more of a
multidimensional construct, it seems logical that personal and situational variables will
collectively contribute to burnout among coaches.
The failure to reveal gender differences in the present study, although not
supporting the secondary hypotheses, is not surprising as previous research has yielded
equivocal findings (Davenport, 1998). Caccese and Mayerberg (1984) found that female
coaches experienced significantly higher levels of burnout denoted by greater levels of
Burnout 40
emotional exhaustion and lower levels of personal accomplishments than their male
counterpart. No gender differences were found regarding the depersonalization subscale.
Similar results have been mirrored by other studies regarding the emotional exhaustion
subscale (Kelley, 1994; Kelley et al., 1999; Pastore & Judd, 1993; Vealey et al., 1992).
However, Pastore and Judd (1993) and Vealey and colleagues (1992) failed to
demonstrate any gender differences regarding the personal accomplishment subscale.
Where these studies have found no gender differences in depersonalization, others have
suggested males experience greater levels of depersonalization than females (Dale &
Weinberg, 1989). It is not surprising that the present study failed to reveal gender
differences on any of the three burnout subscales when one takes into consideration the
inconsistent findings of the previous research. Future studies should continue to examine
gender differences in coach burnout to better understand the impact the gender of the
coach has on burnout.
One also has to consider the sample size of collegiate swimming coaches obtained
for the present study as a possible explanation for the results. Because a smaller sample
of coaches was used for the analyses, a greater treatment effect would need to be present
in order for significant differences or relationships to surface. However, the sample of
coaches obtained was larger than those of previous studies examining the influence of
leadership behaviors on coach and athlete burnout (e.g. Price & Weiss, 2000; Vealey et
al., 1998).
It is also possible that coaches responded to the questionnaires in a socially
desirable manner in expressing their levels of burnout and style of decision-making. In
fact, previous research has masked the true nature of burnout questionnaires to account
Burnout 41
for the negative connotation associated with the construct of burnout (e.g. Gould, Udry,
Tuffey, & Loehr, 1996). The lack of willingness among coaches to express their true
levels of burnout and style of decision-making could have potentially contributed to the
findings of the present study.
The accuracy of the coaches’ responses to the study’s questionnaires, particularly
the Leadership Scale for Sports, may also be worthy of consideration. Research has
found that coaches’ perceptions of their own leadership behaviors are less accurate than
those of the athletes they coach or those of an expert observing the actual leadership
behaviors (Smoll & Smith, 1981). It is plausible that a portion of coaches sampled in the
present study misrepresented their decision-making behaviors on the Leadership Scale for
Sports, not in a socially desirable manner, but rather due to an inaccurate perception of
those behaviors. These misperceptions could potentially have influenced the results of
the analyses conducted on the swimming coaches’ data.
The fact that two different methods of obtaining data from collegiate swimming
coaches were used could also have influenced the results of the research. Many of the
coach participants completed pencil and paper inventories in the presence of the
researcher, while others completed the same surveys online. Due to the smaller sample
size obtained, it was not possible to contrast coaches’ scores in addition to the
psychometric properties of each method of data collection. However, previous research
has found the two methods of obtaining to be similar to one another in terms of their
validity and reliability (Metzger et al., 2003; Meyerson & Tryon, 2003; Miller et al.,
2002). Therefore, it seems unlikely that the two methods of data collection used to gather
Burnout 42
data from collegiate swimming coaches was a major contributor to the results of the
present study.
Finally, one has to consider the reported levels of burnout by both athletes and
coaches in the study to potentially have some degree of influence on the results. The
sample of collegiate swimmers obtained was not experiencing a high degree of burnout.
Further, because the Athlete Burnout Questionnaire is a newer instrument used in the
assessment of sport burnout, norms are not available for comparison with data in the
present study. However, with the range of possible scores on each of the three subscales
stemming from one to five, some conclusions can be drawn. If one were to consider an
average level of burnout to be the halfway point on each subscale (two and one-half), the
collegiate swimmers in the present study could be considered to have reported relatively
average levels of burnout. As shown in Table 1, their scores on the depersonalization and
reduced sense of accomplishment subscales were slightly below the midpoint. These
athletes also reported slightly higher levels of emotional and physical exhaustion as
indicated by a mean score higher than the midpoint. It is possible that many of these
swimmers, particularly those “elite” swimmers competing in the Championships, were
surveyed immediately following a tapering period of their training in preparation for this
significant competition. Because these athletes had not recently been exposed to the
extreme training conditions that swimmers typically endure, their levels of burnout may
have been slightly lower at the time of assessment.
The collegiate swimming coaches did not evidence elevated degrees of burnout as
well. Because the Coach Burnout Questionnaire was created for the present study, norms
are not available for comparison with data in the present study. However, with the range
Burnout 43
of possible scores on each of the three subscales stemming from one to five, some
conclusions can be drawn. If one were to consider an average level of burnout to be the
halfway point on each subscale (two and one-half), the collegiate swimming coaches in
the present study could be considered to have reported relatively average levels of
burnout. As shown in Table 1, their scores on the depersonalization and reduced sense of
accomplishment subscales were slightly below the midpoint. These coaches also
reported slightly higher levels of emotional and physical exhaustion as indicated by a
mean score higher than the midpoint. This pattern of burnout mimics that of the
collegiate swimmers sampled in the present study.
Implications and Future Directions
As previously mentioned, research has suggested that athletes cite severe training
conditions as their most significant reason for experiencing burnout (Vealey et al., 1998).
Certainly the extreme physical conditions that are often a part of elite competitive sport
weigh heavily on this matter. However, the fact that number of hours per week spent on
swimming-related duties did not relate to or predict burnout among athletes partially
suggests that it is not simply the frequency of intense physical practices that causes
burnout. It is also important to examine the behaviors, particularly decision-making
style, of those coaches who are conducting the practice sessions. These actions may, in
part, determine if coaches and/or their athletes will be more susceptible to experiencing
burnout. Because athletes experiencing higher degrees of burnout often report coach
decision-making behaviors to be autocratic, and coaches experiencing higher levels of
burnout report more of a democratic decision-style, an incongruity may be present. As
this stands, coaches would have to make a choice: implement a decision-making style
Burnout 44
that predisposes their athletes to experiencing burnout or a style that predisposes
themselves.
To date, this potential incongruity had yet to be addressed. The present research
attempted to further examine this relationship. The results revealed that collegiate
swimmers’ perception of their coaches’ leadership behaviors, in particular decision-
making style, had some degree of influence on burnout levels reported by those
swimmers. Thus, it is recommended that coaches take into consideration the degree to
which they elicit feedback from their athletes regarding team-related decisions that need
to be made. By inquiring about feedback or opinions from athletes, coaches could help
create a feeling of control and meaningfulness among athletes that act as a buffer against
experiencing burnout. This idea is further strengthened by the fact that results did not
show collegiate swimming coaches’ decision-making style was related to or predicted
coach burnout. If such is the case, coaches who utilize a democratic style of decision-
making with their team can help prevent burnout among their players without
jeopardizing their own likelihood of experiencing burnout.
Future burnout research should continue to examine the relationship between
coaches’ leadership variables and their impact on both coach and athlete burnout. The
results of research that has examined this area are not unequivocal. Further, the limited
amount of research attention given thus far has yet to come to a consensus regarding the
true relationship between the perception of coaches’ decision-making style and burnout
among coaches and athletes. The same holds true for research examining gender
differences in burnout among coaches and athletes.
Burnout 45
A major effort of subsequent research should also be to identify and recruit
coaches and athletes who are experiencing a high degree of burnout as study participants.
Although difficult to accomplish as many of these individuals may have dropped out of
sport, assessing coaches and athletes who are experiencing a high degree of burnout may
provide the strongest evidence regarding the potential incongruity between perception of
decision-making style and burnout among coaches and athletes.
A beneficial approach to examining burnout in the future would be to continue to
incorporate qualitative research methods in burnout investigations as has been done in the
past (e.g. Gould, Tuffey, Udry, & Loehr, 1996). This would be particularly useful with a
coach population as little qualitative burnout research has been done with this group to
date. Using qualitative methods of data collection with a sample of athletes and coaches
who are experiencing a high degree of burnout could provide professionals with rich and
valuable information about the nature of burnout and mediating leadership variables that
influence its occurrence in both coaches and athletes.
Additional research attention should also be given to the assessment of burnout
within the sport domain. Because the Athlete Burnout Questionnaire was developed
recently, norms for the subscales and additional validation of the instrument have yet to
be provided. The present research provided additional support for the internal
consistency of this measure, although future research should continue to validate its
psychometric properties across various sport types and establish norms for each of its
subscales to compare future research against. The present research also provided
preliminary support for a measure to assess sport burnout in coaches. To date, no sport
burnout measure is available for the coach population. The internal consistencies found
Burnout 46
with the Coach Burnout Questionnaire were high and a promising indication that such a
measure could be developed and validated in the near future.
Burnout 47
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Table 1 Internal consistency and descriptive statistics for intercollegiate swimmers (N=91) and coaches (N=36) Cronbach α M SD ATHLETES
ABQ
Exhaustion .91 3.06 .890
Sport Devaluation .80 2.15 .803
Reduced Sense of Accomplishment .79 2.15 .702
LSS
Perceived Autocratic Behaviors .80 2.76 .744
Perceived Democratic Behaviors .81 3.30 .711 COACHES
CBQ
Exhaustion .94 2.73 .984
Sport Devaluation .88 2.03 .836
Reduced Sense of Accomplishment .81 2.07 .671
LSS
Perceived Autocratic Behaviors .61 2.62 .470
Perceived Democratic Behaviors .76 3.12 .492
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Table 2 Pearson product correlation coefficients for burnout and decision-making style among collegiate swimmers (N=91) and collegiate swimming coaches (N=36) Autocratic Democratic ATHLETES
Exhaustion .249* -.278** Sport Devaluation .317** -.330**
Reduced Sense of Accomplishment .218* -.275** COACHES
Exhaustion .023 -.107
Sport Devaluation -.109 -.019
Reduced Sense of Accomplishment -.237 .106 *p<.05 **p<.01
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Antecedents Leader Behavior Consequences
Figure 1. The multidimensional model of leadership (from Chelladurai, 1980, 1990).
Leader Characteristics
Member Characteristics
Required Behavior
Actual Behavior
Preferred Behavior
Situational Characteristics
Performance Satisfaction
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Personality and Motivational Factors
Situation Cognitive appraisal Physiologic responses Coping and Demands/ -of demands -e.g., arousal task behaviors Resources -of resources Stress -of consequences -of “meaning” of
consequences
-High or conflicting -Perceived overload -Tension, anger, -Inappropriate demands: overload -Low perceived anxiety, depression behavior -Low social support predictability and -Insomnia, fatigue -Decreased Burnout -Low autonomy control: helplessness -Illness susceptibility performance -Low rewards -Perception of few -Interpersonal -Low demands: meaningful difficulties boredom accomplishments -Withdrawal -Lack of meaning and from activity devaluation of self/activity Figure 2. The cognitive-affective model of burnout (from Smith, 1986).
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Figure 3. The negative training stress syndrome (from Silva, 1990).
Negative Reaction/Response
(Psychophysiological)
Training Plateau or Detraining Effect
Impose Training
Stress
Maintain or Increase Training Stimulus Staleness
Overtraining
Burnout Withdrawal
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Figure 4. The stress response process (from Tennebaum et al., 2003).
Stressors
Environmental Physical Social General Life Secondary
Appraisal Perception
Challenge Threat Relaxation Boredom
Personal Dispositions
& States
Self-Efficacy Social Support Goal Setting Arousal/Anxiety/EmotionsAttributional Style Attachment Coping/Defense Responses
Physiological Emotional Behavioral Cognitive
State of Adaptation
Physiological Emotional Cognitive Behavioral/Social
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Swimmer Demographic Information Sheet Please respond to the following questions to the best of your ability. Do not write your name or other identifying information on this form. Your answers will remain anonymous. *Age:__________ (years) *Gender: Male Female (circle one) *What is your nationality? ___________________ *What is your primary language? _____________________ *Number of years swimming competitively: _____________ *Average number of hours per week spent swimming or completing swimming-related obligations?________________ *Age group of competition currently competing in (circle all that apply): Pre-high school High school Collegiate Post-Collegiate/Professional Other: ________________ *What year in school are you currently in (circle one): Freshman Sophomore Junior Senior Not Applicable Other:___________ *If participating at the collegiate level, what division do you compete at? Division I Division II Division III Not Applicable
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Please read each statement carefully and decide if you ever feel this way about your current sport participation. Your current sport participation includes all the training you have completed during this season. Please indicate how often you have had this feeling or thought this season by circling a number 1 to 5, where 1 means "I almost never feel this way" and 5 means "I feel that way most of the time." There are no right or wrong answers, so please answer each question as honestly as you can. Please make sure you answer all items. If you have any questions, feel free to ask.
Almost Rarely Some- Fre- Almost never times quently always 1. I’m accomplishing many worthwhile 1 2 3 4 5
things in swimming.
2. I feel so tired from my training that I have 1 2 3 4 5 trouble finding energy to do other things.
3. The effort I spend in swimming would be 1 2 3 4 5 better spent doing other things.
4. I feel overly tired from my swimming 1 2 3 4 5 participation.
5. I am not achieving much in swimming. 1 2 3 4 5 6. I don’t care as much about my swimming 1 2 3 4 5
performance as much as I used to.
7. I am not performing up to my ability in 1 2 3 4 5 swimming.
8. I feel “wiped out” from swimming. 1 2 3 4 5 9. I’m not into swimming like I used to be. 1 2 3 4 5 10. I feel physically worn out from swimming. 1 2 3 4 5 11. I feel less concerned about being successful 1 2 3 4 5
in swimming than I used to. 12. I am exhausted by the mental and physical 1 2 3 4 5
demands of swimming. 13. It seems that no matter what I do, 1 2 3 4 5
I don’t perform as well as I should. 14. I feel successful at swimming. 1 2 3 4 5 15. I have negative feelings towards swimming. 1 2 3 4 5
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Each of the following statements describe a specific behaviour that a coach may exhibit. For each statement there are five alternatives: 1. ALWAYS; 2. OFTEN (about 75% of the time); 3. OCCASIONALLY (50% of the time); 4. SELDOM (about 25% of the time); 5. NEVER Please indicate your coach's actual behavior by placing an "X" in the appropriate space. Answer all items even if you are unsure of any. Please note that you are rating your present coach. 1 2 3 4 5 My coach: 1. Sees to it that athletes work to capacity. ___ ___ ___ ___ ___ 1 2. Asks for the opinion of the athletes on strategies for specific competitions. ___ ___ ___ ___ ___ 2 3. Helps athletes with their personal problems. ___ ___ ___ ___ ___ 3 4. Compliments an athlete for good performance in front of others. ___ ___ ___ ___ ___ 4 5. Explains to each athlete the techniques and tactics of the sport. ___ ___ ___ ___ ___ 5 6. Plans relatively independent of the athletes. ___ ___ ___ ___ ___ 6 7. Helps members of the group settle their conflicts. ___ ___ ___ ___ ___ 7 8. Pays special attention to correcting athletes' mistakes. ___ ___ ___ ___ ___ 8 9. Gets group approval on important matters before going ahead. ___ ___ ___ ___ ___ 9 10. Tells an athlete when the athlete does a particularly good job. ___ ___ ___ ___ ___ 10 11. Makes sure that the coach's function in the team is understood by all athletes. ___ ___ ___ ___ ___ 11 12. Does not explain his/her actions. ___ ___ ___ ___ ___ 12 13. Looks out for the personal welfare of the athletes. ___ ___ ___ ___ ___ 13 14. Instructs every athlete individually in the skills of the sport. ___ ___ ___ ___ ___ 14 15. Lets the athletes share in decision making. ___ ___ ___ ___ ___ 15 16. Sees that an athlete is rewarded for a good performance. ___ ___ ___ ___ ___ 16 17. Figures ahead on what should be done. ___ ___ ___ ___ ___ 17 18. Encourages athletes to make suggestions for ways to conduct practices. ___ ___ ___ ___ ___ 18 19. Does personal favours for the athletes. ___ ___ ___ ___ ___ 19 20. Explains to every athlete what should be done and what should not be done. ___ ___ ___ ___ ___ 20 21. Lets the athletes set their own goals. ___ ___ ___ ___ ___ 21 22. Expresses any affection felt for the athletes. ___ ___ ___ ___ ___ 22 23. Expects every athlete to carry out one's assignment to the last detail. ___ ___ ___ ___ ___ 23 24. Lets the athletes try their own way even if they make mistakes. ___ ___ ___ ___ ___ 24 25. Encourages the athlete to confide in the coach. ___ ___ ___ ___ ___ 25 26. Points out each athlete's strengths and weaknesses. ___ ___ ___ ___ ___ 26 27. Refuses to compromise on a point. ___ ___ ___ ___ ___ 27 28. Expresses appreciation when an athlete performs well. ___ ___ ___ ___ ___ 28 29. Gives specific instructions to each athlete on what should be done in every situation. ___ ___ ___ ___ ___ 29
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1 2 3 4 5 My coach: 30. Asks for the opinion of the athletes on important coaching matters. ___ ___ ___ ___ ___ 30 31. Encourages close and informal relations with athletes. ___ ___ ___ ___ ___ 31 32. Sees to it that the athletes' efforts are coordinated. ___ ___ ___ ___ ___ 32 33. Lets the athletes work at their own speed. ___ ___ ___ ___ ___ 33 34. Keeps aloof from the athletes. ___ ___ ___ ___ ___ 34 35. Explains how each athlete's contribution fits into the total picture. ___ ___ ___ ___ ___ 35 36. Invites the athletes home. ___ ___ ___ ___ ___ 36 37. Gives credit when it is due. ___ ___ ___ ___ ___ 37 38. Specifies in detail what is expected of athletes. ___ ___ ___ ___ ___ 38 39. Lets the athletes decide on plays to be used in a game. ___ ___ ___ ___ ___ 39 40. Speaks in a manner which discourages questions. ___ ___ ___ ___ ___ 40 41. Makes decisions regardless of what athletes think. ___ ___ ___ ___ ___ 41 42. Does not take into account athletes’ suggestions when making decisions. ___ ___ ___ ___ ___ 42 43. Controls what athletes can and cannot do. ___ ___ ___ ___ ___ 43
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Swimming Coach Demographic Information Form
Please respond to the following questions to the best of your ability. Do not write your name or other identifying information on this form. Your answers will remain anonymous. *Age: __________ (years) *Gender (circle one): Male Female *Are you a head coach or an assistant coach (circle one)? Head Assistant *What is your nationality? ___________________ *What is your primary language? _____________________ *Number of years coaching swimming competitively: _____________ *Average number of hours per week spent coaching swimming or completing coaching-related duties:_________________ *Age group of competition currently coaching (circle all that apply): Pre-high school High school Collegiate Post-Collegiate/Professional Other: _______________ *If coaching at the collegiate level, what division do you compete at? Division I Division II Division III Not Applicable
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Please read each statement carefully and decide if you ever feel this way about your current coaching involvement. Your current coaching involvement includes all the coaching you have done during this season. Please indicate how often you have had this feeling or thought this season by circling a number 1 to 5, where 1 means "I almost never feel this way" and 5 means "I feel that way most of the time." There are no right or wrong answers, so please answer each question as honestly as you can. Please make sure you answer all items. If you have any questions, feel free to ask.
Almost Rarely Some- Fre- Almost
never times quently always 1. I’m accomplishing many worthwhile 1 2 3 4 5
things in coaching swimming.
2. I feel so tired from my coaching swimming that I have 1 2 3 4 5 trouble finding energy to do other things.
3. The effort I spend coaching swimming would be 1 2 3 4 5
better spent doing other things.
4. I feel overly tired from coaching swimming. 1 2 3 4 5
5. I am not achieving much in coaching swimming. 1 2 3 4 5 6. I don’t care as much about my coaching 1 2 3 4 5
performance as much as I used to.
7. I am not performing up to my ability in 1 2 3 4 5 coaching swimming.
8. I feel “wiped out” from coaching swimming. 1 2 3 4 5 9. I’m not into coaching swimming like I used to be. 1 2 3 4 5 10. I feel physically worn out from coaching swimming. 1 2 3 4 5 11. I feel less concerned about being successful 1 2 3 4 5
in coaching swimming than I used to. 12. I am exhausted by the mental and physical 1 2 3 4 5
demands of coaching swimming. 13. It seems that no matter what I do, 1 2 3 4 5
I don’t coach as well as I should. 14. I feel successful at coaching swimming. 1 2 3 4 5 15. I have negative feelings towards coaching swimming. 1 2 3 4 5
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Each of the following statements describe a specific behaviour that a coach may exhibit. For each statement there are five alternatives: 1. ALWAYS; 2. OFTEN (about 75% of the time); 3. OCCASIONALLY (50% of the time); 4. SELDOM (about 25% of the time); 5. NEVER You are requested to indicate your characteristic behavior by marking an "X" in the appropriate space. There are no right or wrong answers. Your spontaneous and honest response is important for the success of the study. 1 2 3 4 5 In coaching I: 1. See to it that athletes work to capacity. ___ ___ ___ ___ ___ 1 2. Ask for the opinion of the athletes on strategies for specific competitions. ___ ___ ___ ___ ___ 2 3. Help athletes with their personal problems. ___ ___ ___ ___ ___ 3 4. Compliment an athlete for good performance in front of others. ___ ___ ___ ___ ___ 4 5. Explain to each athlete the techniques and tactics of the sport. ___ ___ ___ ___ ___ 5 6. Plan relatively independent of the athletes. ___ ___ ___ ___ ___ 6 7. Help members of the group settle their conflicts. ___ ___ ___ ___ ___ 7 8. Pay special attention to correcting athletes' mistakes. ___ ___ ___ ___ ___ 8 9. Get group approval on important matters before going ahead. ___ ___ ___ ___ ___ 9 10. Tell an athlete when the athlete does a particularly good job. ___ ___ ___ ___ ___ 10 11. Make sure that the coach's function in the team is understood by all athletes. ___ ___ ___ ___ ___ 11 12. Do not explain my actions. ___ ___ ___ ___ ___ 12 13. Look out for the personal welfare of the athletes. ___ ___ ___ ___ ___ 13 14. Instruct every athlete individually in the skills of the sport. ___ ___ ___ ___ ___ 14 15. Let the athletes share in decision making. ___ ___ ___ ___ ___ 15 16. See that an athlete is rewarded for a good performance. ___ ___ ___ ___ ___ 16 17. Figure ahead on what should be done. ___ ___ ___ ___ ___ 17 18. Encourage athletes to make suggestions for ways to conduct practices. ___ ___ ___ ___ ___ 18 19. Do personal favours for the athletes. ___ ___ ___ ___ ___ 19 20. Explain to every athlete what should be done and what should not be done. ___ ___ ___ ___ ___ 20 21. Let the athletes set their own goals. ___ ___ ___ ___ ___ 21 22. Express any affection felt for the athletes. ___ ___ ___ ___ ___ 22 23. Expect every athlete to carry out one's assignment to the last detail. ___ ___ ___ ___ ___ 23 24. Let the athletes try their own way even if they make mistakes. ___ ___ ___ ___ ___ 24 25. Encourage the athlete to confide in the coach. ___ ___ ___ ___ ___ 25 26. Point out each athlete's strengths and weaknesses. ___ ___ ___ ___ ___ 26 27. Refuse to compromise on a point. ___ ___ ___ ___ ___ 27 28. Express appreciation when an athlete performs well. ___ ___ ___ ___ ___ 28 29. Give specific instructions to each athlete on what should be done in every situation. ___ ___ ___ ___ ___ 29
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1 2 3 4 5 In coaching I: 30. Ask for the opinion of the athletes on important coaching matters. ___ ___ ___ ___ ___ 30 31. Encourage close and informal relations with athletes. ___ ___ ___ ___ ___ 31 32. See to it that the athletes' efforts are coordinated. ___ ___ ___ ___ ___ 32 33. Let the athletes work at their own speed. ___ ___ ___ ___ ___ 33 34. Keep aloof from the athletes. ___ ___ ___ ___ ___ 34 35. Explain how each athlete's contribution fits into the total picture. ___ ___ ___ ___ ___ 35 36. Invite the athletes home. ___ ___ ___ ___ ___ 36 37. Give credit when it is due. ___ ___ ___ ___ ___ 37 38. Specify in detail what is expected of athletes. ___ ___ ___ ___ ___ 38 39. Let the athletes decide on plays to be used in a game. ___ ___ ___ ___ ___ 39 40. Speak in a manner which discourages questions. ___ ___ ___ ___ ___ 40 41. Make decisions regardless of what athletes think. ___ ___ ___ ___ ___ 41 42. Don’t take into account athletes’ suggestions when making decisions. ___ ___ ___ ___ ___ 42 43. Control what athletes can and cannot do. ___ ___ ___ ___ ___ 43
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Dear Participant, This letter is a request for you to take part in a research project to determine the relationship of coaches’ decision-making styles on burnout in coaches and athletes. This project is being conducted by Brandonn Harris of the School of Physical Education at West Virginia University as a part of a master’s thesis. Your participation in this project will take approximately 15 minutes and will entail answering 3 questionnaires. Upon completion of these questionnaires you will be asked to place them in a sealed envelope and return them to the research investigator. Your involvement in this project will be anonymous. Your name or other identifying information will not be recorded for this study. Your participation in this project is completely voluntary and you do not need to answer any questions that you do not wish to answer. You may also stop your participation at any time without penalty if you desire. Your class standing and grades (if a student-athlete) or employment status (if a coach) will not be affected by your agreement or refusal to participate in this research project. I appreciate your consideration in taking part of this research project. Thank you for your time and help with this project. Sincerely, Brandonn Harris West Virginia University School of Physical Education P.O. Box 6116 Morgantown, WV 26506-6116 [email protected]
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The present section attempts to examine the current state of burnout in the sport
domain In doing so, the definitions, signs, symptoms, main theoretical frameworks used
to explain burnout, and the assessment of burnout will be addressed. In addition, the
phenomenon as it relates to coaches and athletes will be discussed. Research on
leadership and coach and athlete burnout will also be addressed. Finally, suggestions for
burnout’s treatment and prevention according to the literature will be presented followed
by a summary and direction for future research.
Defining Burnout and Related Terms
Several terms are often encountered in the burnout literature, many of which are
often used interchangeably. It is important to distinguish how these and alternative terms
differ from burnout. Overtraining is one related term present in the literature.
Interestingly, this term has been defined both as a positive and negative occurrence
(Raglin &Wilson, 2000). Overtraining can be viewed as part of a process (known as
periodization) by which an athlete’s training schedule is increased above its usual levels
followed by a tapering period for performance improvement (Raglin, 1993; Raglin &
Wilson, 2000). However, performance is not always enhanced as a result of this increase
in training. The result of maladaptive responses to overtraining is staleness. Athletes
have difficulty maintaining their training regimens and are no longer able to gain
improvements in performance (Weinberg & Gould, 1999). Symptoms associated with
staleness more so than burnout include hypercortisolism, premature fatigue during
training, decreases in muscular strength, and changes in athlete’s perception of physical
effort (Raglin & Wilson, 2000). While some of these symptoms of mood disturbances
and performance decrements are seen in burnout, they have been suggested to be directly
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related to training load during staleness as opposed to cognitive factors as in burnout
(Raglin, 1993; Raglin & Wilson, 2000).
Another term that utilizes a more holistic approach in describing related concepts
has also been presented. Henschen (2000) chose the term maladaptive fatigue syndrome
suggesting it encompasses or mirrors common terms like burnout, overtraining, and
staleness. Using work by Gould (1996), this syndrome was defined as a psychobiosocial
state that resulted in a physical, psychological, and emotional withdrawal from an activity
that was once enjoyable and motivating. Henschen (2000) further noted that maladaptive
fatigue syndrome was due to excessive fatigue. While this phenomenon was noted to
contain the same elements of overtraining, staleness, and burnout, it was preferred
because it identifies the actual situation, because other terms are grounded in the fatigue
syndrome that have remained unaddressed, and because of its holistic nature that allows
for flexibility.
It would also be advantageous to operationally define burnout before examining
its theoretical frameworks, assessment, occurrence, and prevention. However, a uniform
definition has been difficult to formulate because of its complexity, and has yet to be
identified both in and out of a sport context (Dale & Weinberg, 1989; Dale & Weinberg,
1990; Fender, 1989; Raedeke, 1997; Raedeke, Lunney, & Venables, 2002). Raedeke et
al. (2002) further stated that a definition of burnout including key signs and symptoms is
crucial in order to make progress with its related research. There is agreement among
professionals that burnout’s various definitions usually acknowledge a multidimensional
syndrome (Dale & Weinberg, 1989; Gould, 1996). Definitions also tend to vary
according to the theory providing the framework for a particular study.
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A popular definition came from research conducted by Maslach and Jackson
(1981). They contended burnout could be identified as a syndrome characterized by
emotional exhaustion, depersonalization and a lessened sense of personal
accomplishment. Although commonly seen in the sport burnout literature, this definition
has received some criticism. Kallus and Kellman (2000) stressed that too much emphasis
was placed on the cognitive components of burnout while overlooking physiological,
emotional, and behavioral characteristics. Perlman and Hartman (1982) presented a
similar definition based on their summary of early burnout literature which depicted the
phenomenon as including “emotional and/or physical exhaustion, a lowered job
productivity, and overdepersonalization” (p.293).
Another common definition of burnout stems from Smith’s (1986) theoretical
work, and is believed to be the most accepted definition for sport purposes thus far
(Raedeke, 1997). Smith introduced a stress-based explanation asserting burnout should
be considered a multidimensional experience that includes emotional, psychological, and
occasionally physical withdrawal from a previously enjoyable activity due to extreme and
persistent stress.
Schmidt and Stein (1991) presented an alternative definition that countered
Smith’s (1986) description. Using a commitment perspective, they suggested burnout
occurs when athletes remain in sport for some other reason outside of enjoyment. The
phenomenon can occur when the costs of participation rise along with an athlete’s
investment, with no concurrent rise in rewards, and a perception of nonexistent or few
alternatives.
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Finally, another definition has been presented also countering the stress-based
framework Smith (1986) presented. Coakley (1992) suggested that burnout lies in more
of a social foundation rather than stress. Young athletes withdraw from sport from
feelings of disempowerment and a realization that they have little control in the events
and decisions about their life experiences and developmental direction. While other
definitions have been presented for burnout in and out of the sport context, they tend to
be some derivative of one of the above mentioned descriptions driven by their respective
theoretical framework.
Signs, Symptoms, and Individual Differences in the Susceptibility to Burnout
Like the definitions of burnout, signs and symptoms of the phenomenon vary
according to the theoretical framework used in its examination. There are, however,
several common characteristics considered by most authors to be indications an
individual may be experiencing burnout.
There is a general belief, regardless of theory, that chronic stress plays some role
in the symptoms, signs, and results of burnout (Dale & Weinberg, 1990). The degree of
effect chronic stress has varies among authors. Feigley (1984) provided an interesting
description of burnout as a progressive phenomenon. Those experiencing burnout in its
beginning stages may experience an increasing state of fatigue and irritability. A loss of
enthusiasm may also be present at this time. Physically, he or she may notice minor body
aches and changes in eating patterns. Also present may be feelings of incompetence,
frustration, and anger. During the intermediate stage, one may exhibit withdrawing or
silent responses to questions regarding their sport. Physical symptoms would include
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more excessive disordered eating patterns and severe fatigue. At its advanced stage an
athlete would evidence cynicism, alienation, and escapist behavior toward their sport.
Other research has echoed some of the signs and symptoms Feigley described.
Physical symptoms also mentioned included fatigue, sleeplessness, headaches, shortness
of breath, and weight fluctuation. Behaviorally, athletes often are seen as easily angered,
frustrated, performing inconsistently, and possibly completely dropping out or
withdrawing from the sport altogether (Fender, 1989; Gould, 1996; Metzler, 2002;
Raedeke at al., 2002; Smith, 1986). Fender (1989) and Gould (1996) further added that
emotionally, those experiencing burnout may feel helpless, depressed, irritable, and
experience negativity towards their sport and other areas of life.
There is also a belief that certain characteristics will increase athlete susceptibility
to these signs and symptoms, and ultimately, burnout. Originally, burnout research
focused on people in the “helping” or “people” professions because of the emotional
investment these professionals made in their clients(Caccese & Mayerberg, 1984; Capel,
Sisley, & Desertrain, 1987; Dale & Weinberg, 1989; Fender, 1989; McCann, 1995;
Vealey et al., 1992). As a result, these people were believed to be at a greater risk of
experiencing burnout. As the phenomenon made its way into the athletic domain, other
sport-related characteristics suggested to increase an individual’s likelihood to experience
burnout were presented.
Perfectionism and overachieving have been linked to burnout as committed
athletes may set unrealistic goals and overexert themselves in the pursuit of them
(Feigley, 1984; Fender, 1989; Henschen, 1998). Gould, Udry, Tuffey, and Loehr (1996)
found burned out athletes experienced higher parental criticism, greater needs for
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organization, and greater concerns over mistakes. While these findings seem to support
the relationship between perfectionism and burnout, the authors also found burned out
athletes reported lower personal standards. It was suggested that this subscale has not
been found to be correlated with negative perfectionist aspects, but positive ones instead.
Henschen (1998) and Feigley (1984) further contended that susceptible individuals are
also other-oriented, having a strong desire to be liked by others and overly sensitive to
criticism. In addition, these authors add that burnout victims may lack assertive
interpersonal skills, making expressing negative feelings or setting boundaries more
difficult without experiencing guilt in doing so. While it appears that several factors are
associated with the occurrence of burnout in the sport domain, it should be noted that it is
a unique and personal experience that may vary among individuals (Gould, Tuffey, Udry,
& Loehr, 1997).
Major Theoretical Frameworks Supporting Burnout
Smith (1986) proposed a cognitive-affective model that utilized an interactional
approach emphasizing stress as a primary influence of burnout (see Figure 2). His model
contained four components that helped to explain the nature of this phenomenon. The
first stage considers the situation itself, which involves some interaction between the
environment and the athlete’s personal/environmental resources. The interaction places
some sort of demand on the athlete, whether high or low, that brings about the second
stage of the model. There, a cognitive appraisal of the demand occurs. The demand will
be perceived as high if, for example, it is appraised as being conflicting in nature or
overloads the athlete. Another possibility is a low perceived demand if it is appraised as
having little reward, not contributing to athlete autonomy, or is boring. In both instances,
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stress occurs from the appraisal of mismatch between the demand, and the lack of or
abundance of coping resources. When stress occurs the third stage of the model is
initiated. The harm or danger emanating from the appraisal is suggested to cause
physiological responses in the athlete, including anxiety, tension, anger, and fatigue. It
should be noted that at this stage, the physiological responses provides feedback to the
athlete about the situation and contributes to a positive or negative re-appraisal of the
situation. The physiological response(s) will lead the athlete to the fourth stage of the
model, which is an overt coping behavior. These could include decreased performance,
communication problems, and/or withdrawal from the sport itself.
Some have praised this model for its interactional approach to understanding the
nature of burnout (Dale & Weinberg, 1990) and for the usefulness it has in delineating
targets for intervention (Rotella, Hanson, & Coop, 1991). The model not only
incorporates situational, cognitive, physiological, and behavioral components, but
suggests that personality and motivational aspects act upon each of the stages as well.
Another strength of the model lies in its ability to differentiate between those who
withdraw from sport due to burnout (a result of stress explained by the model) and those
who withdraw for other reasons. Despite this intuitive appeal, little research attention has
been given to this model in explaining burnout in athletes (Gould, 1996). However, some
research has used this model in explaining coach burnout.
Vealey et al. (1992) utilized this model to examine cognitive, dispositional, and
situational predictors of coach burnout. Cognitive appraisal factors of interest were
perceived stress and meaningfulness of work. Intrapersonal factors included gender, the
presence of a partner, and coaching experience. The dispositional factor of interest was
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trait anxiety. Situational factors included amount time spent working and in leisure, level
of coaching, and sport type. The results indicated that trait anxiety was the strongest
predictor in burnout among coaches. Coaches who approached their job with feelings of
nervousness and worry tended to experience higher levels of burnout. Cognitively, the
results indicated that high levels of burnout were associated with a lack of perceived
meaningful accomplishments, as well as a perceived lack of control, success and support.
Intrapersonally, only gender emerged as relating to burnout, with females reporting
greater levels than males. The authors suggest that the results provide some support for
this model, particularly for its cognitive and dispositional factors.
Kelley and Gill (1993) also employed Smith’s (1986) model of burnout in their
examination of collegiate teacher-coaches. They sought to identify the relationship of
personal and situational variables to stress appraisal, and the relationship of stress
appraisal to burnout. The results of their work revealed that satisfaction with social
support, more coaching experience, and gender (with males scoring lower) were
predicative of stress appraisal. In addition, a greater stress appraisal was linked to higher
levels of burnout. The authors suggest that their results provide strong support for
Smith’s (1986) proposed model of burnout.
Gould, Tuffey, Udry, and Loehr (1996) conducted qualitative research in an
attempt to examine various aspects of burnout in junior tennis players. The authors
analyzed their results keeping three models of burnout in mind. These included Silva’s
(1990) negative training stress model, Coakley’s (1992) socialization model, and Smith’s
(1986) cognitive-affective model. Gould, Tuffey, and colleagues (1996) concluded that
their results were best explained using Smith’s model as a framework as it was the most
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comprehensive, taking into account situational and personal variables and the athlete’s
appraisal of stress.
Other stress-based models have been presented to explain burnout.
Silva (1990) presented a stress-based model that used training stress syndrome as a
theoretical foundation to understand burnout (see Figure 3). He contended that
participation in competitive athletics introduces physical and psychological training stress
upon an athlete. In coping with these stressors athletes adapted positively or negatively.
With positive training stress principles of overload are utilized, pushing athletes to adapt
at higher output levels using effective coping and problem solving strategies. These
positive improvements result in training gains. Conversely, negative training stress
occurs when athletes adapt poorly to the increased stress or overload conditions. Factors
related to this adaptation include insufficient rest patterns, boredom, and conflict. When
negative adaptation occurs to training stress, responses occur along a regressive
psychophysiological continuum. The training stress syndrome explains this continuum.
The first stage, staleness, is considered to be the initial failure of an athlete’s mechanisms
to psychologically and physically adapt to training stress. The next stage, overtraining,
occurs after the body repeatedly fails to cope with what has become chronic training
stress. There are observable changes in an athlete’s sport performance and mental
orientation. If nothing is done to address staleness and overtraining, burnout becomes a
likely result and is the final stage in the model. According to Silva, burnout is
characterized as an exhaustive physical and psychological response to frequent,
unsuccessful attempts to cope with extreme training and competitive stressors.
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Tennebaum, Jones, Kitsantas, Sacks, and Berwick (2003a) presented the most
recent stress-based model that suggested the related terms such as overtraining, staleness,
and burnout were better explained with a failure adaptation in response to stress (see
Figure 4). Failure adaptation was defined as “a state of physiological, behavioral,
emotional, and/or cognitive malfunction due to inadequate adaptive responses towards
the situation” (p. 20). This model, known as the Stress Response Process, incorporated
previous models (Coakley, 1992; Silva, 1990; Smith, 1986) to extend the perspective of
the stress environment and the complete athlete response to stress (Tennebaum, Jones,
Kitsantas, Sacks, and Berwick, 2003b). Stressors were at the top of the model and were
described as originating from environmental, physical, social, general life (outside of
sport), or secondary (emotional or cognitive) sources. The next stage of the model was
the athlete’s perception or appraisal of the stressor(s). This subjective appraisal, as
opposed to the objective reality of the stressor, dictated the form and intensity of an
athlete’s stress response. Possible ways of perceiving a stressor were as a challenge,
threat, relaxing, or boring. Further, an athlete’s appraisal process consisted of the
athlete’s initial appraisal, his/her appraisal of the coping resources necessary to deal with
the stressor(s), his/her appraisal of the consequences from meeting or failing to meet its
demands, and the level of importance those consequences have for the athlete. An
athlete’s appraisal is mediated by their disposition and state. Important factors included
an athlete’s self-efficacy, social support, goal setting, anxiety, method of attribution, and
attachment.
Following the appraisal process was the athlete’s defense strategy used to cope
with the stressor(s). These reactions were categorized into physiological, behavioral,
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emotional, and cognitive categories. The success of an athlete’s adaptation to stress was
contingent upon the success of their coping strategy in combating the stressor(s). The
result of his/her coping response influenced that athlete’s state of adaptation. Failure to
adapt was marked by one’s physiological, emotional, cognitive, and behavioral
responses. Physiological signs of failure adaptation were exhaustion, illness, increase in
injuries, and a decrease in physiological capacity. Cognitively, one might expect to
experience catastrophic thinking, paranoia, and learned helplessness. Behaviorally,
failure adaptation was characterized by avoidance of practices and/or competitions.
Emotionally, he/she might experience extreme anxiety or affective disorders.
Because this model was recently developed research has yet to assess its utility.
However, Tennebaum et al. (2003b) conducted follow-up research to explore the value of
their model. The authors quantitatively and qualitatively studied 14 elite cyclists over 20
weeks. Their results supported their hypotheses derived from the Stress Response Model.
They noted that the model was successful in monitoring athletes’ stress response process.
The authors concluded that their model provides the means to examine the
comprehensive interaction of variables that were believed to affect an athlete’s adaptation
to stress.
Coakley (1992) presented an alternative model to the abovementioned, stress-
based theories. Although he acknowledged stress as an important component in
understanding burnout (a symptom rather than cause), Coakley suggested burnout is best
explained as a social phenomenon rather than a personal failure in coping with stress.
Specifically, he proposed that burnout is more closely tied to the social development of
young athletes, the social relations involved with participating in sport, and the social
Burnout 88
organization of sport performance. Young athletes were believed to burnout and
withdraw from competitive sport because of a restricted set of life experiences.
Participating in their sport leaves these athletes feeling disempowered in their
development, resulting in a unidimensional self concept based solely on sport. Burnout
also occurred from an athlete’s perceived lack of autonomy and control over their life
from the power relationships surrounding their sport. Coakley’s model received some
support for its consideration of the social influences on burnout, a component that the
stress-based models neglected. While the theory seems to lack the interactional approach
that others incorporate, research has demonstrated results that suggested a burnout model
should include social influences (Kjormo & Halvari, 2002).
A final athlete burnout perspective utilizes an investment paradigm. Schmidt and
Stein’s (1991) sport commitment model was developed to facilitate predictions about
environments fostering continued sport participation, dropout, and burnout. They
believed that athletes with high commitment remain in sport for one of two reasons.
Those who are experiencing an increase in rewards, investment, and satisfaction with a
concurrent decrease in costs and alternatives remain in sport for enjoyment reasons.
Conversely, high commitment athletes remaining in sport for reasons not related to
enjoyment are prone to burnout. Their sport experience would consist of an increase in
costs and investments with a concomitant decrease in rewards and perceived alternatives.
Raedeke (1997) suggested these athletes may remain in sport because they feel as though
they have to, a concept described as “entrapment”. The model differentiates dropout
from burnout with its investment and alternative components. Whereas athletes prone to
burnout experience an increase in their sport investment and decrease in perceived
Burnout 89
alternatives to participation, dropout victims observe a decrease in investment and
increase in alternatives, giving them an opportunity to take up a more attractive activity.
In response to the dearth of research on the commitment model of burnout,
Raedeke (1997) examined this perspective in swimmers while incorporating some of the
social aspects of Coakley’s (1992) research. His results indicated those athletes who
exhibited characteristics suggestive of entrapment experienced higher burnout levels. In
particular, four profiles were found to resemble those as denoted by Schmidt and Stein
(1991) and Coakley (1992). Included was enthusiasm, with those demonstrating higher
degrees experiencing lower levels of burnout. In addition, swimmers who were
malcontented and obligated in their participation had higher levels of burnout. Finally,
swimmers who were indifferent about their sport participation exhibited moderate
attraction to swimming and reported few benefits by participating. This was noted to be
similar to the low commitment profile identified by Schmidt and Stein (1991). In
addition, results indicated that low perceived control and high social constraints were
leading sources of entrapment. As the resulting profiles were similar to what was
expected for entrapment, dropout, and attraction profiles, Raedeke (1997) noted the
results of this research suggested a commitment model of burnout is a viable model by
which to increase the understanding of burnout. Raedeke, Granzyk, and Warren (2000)
have also applied a similar commitment model of burnout to coaches. The authors
surveyed 295 USA Swimming coaches on their determinants of commitment, their
experiences of the exhaustive component of burnout, and their actual commitment to
determine if salient profiles could be identified and linked to different levels of burnout
and commitment. Their results yielded three profiles including attraction-based
Burnout 90
commitment, low commitment, and entrapment. Entrapped coaches reported higher
levels of burnout than the less committed or attracted coaches. The authors gave further
support for the use of a commitment-based model in understanding burnout.
Burnout Assessment
Maslach and Jackson (1981) composed a burnout inventory that has been
recognized as the most widely used and accepted measure (Dale and Weinberg, 1990;
Fender, 1989). The authors used interview and questionnaire data previously collected to
construct preliminary items assessing hypothesized aspects of burnout. The preliminary
items were presented in a Hassles scale and administered to 420 individuals in helping
occupations. From their factor analysis of the results and items, three factors emerged
that were eventually retained for the final measure known as the Maslach Burnout
Inventory (MBI).
The MBI measures the intensity and frequency of three dimensions believed to be
associated with burnout: emotional exhaustion (feelings of being overextended and
emotionally exhausted), depersonalization (an impersonal response towards the
beneficiary of one’s services), and personal accomplishment (feeling of competence and
achievement with people in one’s employment). These subscales have nine, five, and
eight items, respectively. It should be noted that higher scores on the emotional
exhaustion and depersonalization scales denote a higher degree of experienced burnout.
Lower scores on the personal accomplishment scales signify a higher burnout level.
Reliability was demonstrated for the inventory as a whole (Maslach and Jackson,
1981). Cronbach’s coefficient alpha scores of .83 and .84 for frequency and intensity,
respectively. Acceptable reliability was also found for emotional exhaustion’s frequency
Burnout 91
(.89) and intensity (.86), depersonalization’s frequency (.77) and intensity (.72), and
personal accomplishment’s frequency (.74) and intensity (.74). The authors also
demonstrated sufficient test-retest reliability using a time interval of two-four weeks. All
reliability coefficients for the subscales’ frequency and intensity were above .60.
Maslach and Jackson (1981) established adequate convergent validity of the
inventory in three ways. Scores on the MBI were correlated with the following criteria:
independent behavior ratings by a person who knew the subject well, the presence of job
characteristics likely to contribute to burnout, and measures of outcomes hypothesized to
relate to burnout. To establish discriminant validity, scores on the MBI and an inventory
measuring job satisfaction were correlated. The results indicated that less than six
percent of variance was accounted for by the correlations, indicating that the MBI is not
measuring the construct of job satisfaction, thus providing support for the inventory’s
discriminant validity.
Research outside of the sport realm has further examined the psychometric
properties and efficacy of the MBI. Densten’s (2001) examination of the MBI’s
conceptualization and psychometric properties generated a five-factor structure opposed
to the original three-factor design. The research supported emotional exhaustion splitting
into psychological and somatic strain components. Further, the personal accomplishment
subscale was broken down into lack of self and others.
Wright and Bonett (1997) tested the relationships between the three dimensions of
the MBI with work performance. Their results only yielded a significant negative
relationship between the emotional exhaustion subscale and work performance. The
study’s longitudinal design confirmed the need for future longitudinal burnout designs
Burnout 92
that allow for its process to occur, prompting subsequent research to follow similar
designs (Bakker, Schaufeli, Sixma, Bosveld, & Van Dierendonck, 2000).
While the MBI has been used with research in the sport environment, some have
cautioned about extending its use beyond the helping professions it was originally
constructed for (Raedeke et al., 2002). Inventories have been constructed since the MBI
that deal with burnout in an athletic context. Fender (1988) constructed a modified
version of the MBI adapted for sport, known as the Sport Adaptation of the Maslach
Burnout Inventory (SAMBI)
The items of the original MBI were modified to reflect sport situations. The
revised inventory was finalized and administered to collegiate athletes to assess its
psychometric integrity. Internal consistency was established for the emotional
exhaustion subscale. However, the depersonalization and personal accomplishment
subscales did not achieve either significance or the necessary criterion value. External
reliability was established for all three subscales using a test-retest procedure and Pearson
Product Moment correlation. Validity analyses suggested that the three factors
accounting for about one-half of the total variance represented emotional exhaustion,
depersonalization, and personal accomplishment. There were several items that on the
MBI, did not identify with its equivalent factor of the SAMBI. As a result, it was
suggested to exert caution when interpreting the validity of this sport-revised version.
Future research could test the SAMBI with a larger population and spanning a greater
demographical area.
A more recent, sport specific inventory was presented by Raedeke and Smith
(2001). The authors formulated the Athlete Burnout Questionnaire in stages and around a
Burnout 93
modified Maslach and Jackson (1981) definition of burnout to fit a sport environment.
The burnout definition used for its development included emotional and physical
exhaustion, a reduced sense of accomplishment, and a devaluation of sport. This
inventory will be utilized for the present study and is discussed in detail in the
methodology chapter of this proposal.
Athletes and Burnout Research
Research on athlete burnout has examined various aspects using some of the
established theoretical frameworks. Silva (1990) surveyed 68 collegiate athletes from 10
different sports on their perspectives of the causes, symptoms, and frequency of negative
training stress responses in formulating his theoretical framework of staleness,
overtraining, and burnout. With regards to burnout, almost 47% of athletes reported
experiencing burnout with a strong majority indicating the phenomenon was believed to
be the worst possible response to training stress. Symptoms of burnout reported by
athletes included a loss of interest and desire to participate, extreme emotional and
physical exhaustion, and an absence of caring. While this research has contributed to
burnout’s knowledge base, it has been criticized for not operationally defining burnout
for the study’s participants (Raedeke et al., 2002).
In a related study, Murphy, Fleck, Dudley, and Callister (1990) found that
increases in volume training loads in judo athletes resulted in concomitant increases in
anger and anxiety levels and a decrease in selected performance indicators. While
burnout was not a dependent variable in this study, the results provide some support for
Silva’s (1990) model. Specifically, increases in training loads were shown to have some
Burnout 94
negative impact on the psychological and physical aspects of participation, similar to
what the training stress syndrome advocates.
In establishing an alternative model to stress-based theories, Coakley (1992)
interviewed adolescent athletes identified as burnout cases about their sport experiences
and how their participation was tied to other areas of their lives. His results indicated that
while stress is associated with burnout, its roots seemed to rest in a social framework.
Athletes tended to tie their non-sporting activities to their sport participation, and
mentioned experiencing stress and pressure from sport due to a perceived lack of control
over their life. Further, participants expressed disappointment on missing other
experiences their peers had due to their sport participation. Coakley concluded that
burnout occurred from a unidimensional self-concept based solely on sport, and a lack of
control over their sport experiences and general life development.
Other athlete burnout research has generated results that seem to mirror Coakley’s
findings. Kjormo and Halvari (2002) examined the relationship between burnout and
various environmental and personal factors. Their survey of 136 Olympic athletes
indicated athlete burnout was negatively correlated with their appraisal of confidence and
group cohesion, and positively correlated with role conflict and lack of time with
significant others outside sport. These findings further support the notion that burnout
may be best explained by a model that acknowledges social influences.
Interestingly gender differences in burnout among athletes has received little
attention. Lai and Wiggins (2003) examined burnout perceptions in collegiate soccer
players. Their hypotheses were formulated based on gender and burnout research
conducted with coaches. They found that while burnout symptoms significantly increased
Burnout 95
over the course of a competitive season, no gender differences in burnout perceptions
were existent. The authors suggested that future research address possible gender
differences in burnout among athletes. This is important so future research examining
gender and burnout among athletes can formulate hypotheses based on previous athlete
literature and not from coach research.
Coaches and Burnout Research
Research has examined various aspects of burnout and has discovered several
components mediating its occurrence in coaches. The issue of role conflict and
ambiguity on coach burnout has been the subject of inspection. Capel et al. (1987) found
role conflict related significantly to emotional exhaustion, and role ambiguity with
depersonalization. Years as a head coach related with scores on the personal
accomplishment scale. While the results pertaining to role conflict and ambiguity only
accounted for a small percentage of the data variance, the findings have been supported
by other research with coaches (Weiss, 1987a) and athletes (Kjormo & Halvari, 2002).
Contrary to the relationship the authors found with regards to years coaching and
burnout, Vealey and colleagues (1992) did not find years coaching related to burnout in
either gender, indicating another potential area for future attention.
Research has also inspected the role gender plays in coach burnout; however,
equivocal findings have been demonstrated (Davenport, 1998). Caccese and Mayerberg
(1984) administered the Maslach Burnout Inventory to 231 collegiate head coaches.
Their results indicated that female coaches experienced significantly higher levels of
burnout denoted by greater levels of emotional exhaustion and lower levels of personal
accomplishments than their counterpart. No gender differences were found regarding the
Burnout 96
depersonalization subscale. Similar results have been mirrored by other studies regarding
the emotional exhaustion subscale (Kelley, 1994; Kelley, Eklund, & Ritter-Taylor, 1999;
Pastore & Judd, 1993; Vealey et al., 1992). However, Pastore & Judd (1993) and Vealey
and colleagues (1992) failed to demonstrate any gender differences regarding the
personal accomplishment subscale. Where these studies have found no gender
differences regarding the depersonalization subscale of the MBI, others have suggested
males experience greater levels of depersonalization than females (Dale & Weinberg,
1989). It can be concluded that gender differences in burnout among coaches needs
further examination to help clarify the inconsistent findings of the previous research.
Leadership Behavior and Burnout
A line of athlete burnout research of particular interest to the present investigator
has inspected the role coaches play in the occurrence of burnout among athletes. Vealey
et al. (1998) examined the influences perceived coaching behaviors had on athletes’
burnout. Through their investigation of 149 female collegiate athletes and 12 coaches,
authors found several coaching behaviors relating to athlete’s burnout. Results suggested
that those athletes scoring higher on the negative self-concept, emotional and physical
exhaustion, devaluation, and psychological withdrawal dimensions perceived coaching
behaviors to be less empathetic, stressing winning more than development, and using
more dispraise and an autocratic coaching style. These results were complimented by
research conducted by Price and Weiss (2000). These authors discovered that female
varsity soccer players experiencing low perceived sport competence and pleasure along
with higher anxiety and burnout levels reported coaching behaviors that were
characterized by less instruction or training, social support, positive feedback and more
Burnout 97
autocratic in nature. More important to the proposed research, it was also found that
athletes who reported lower levels of burnout also perceived coaching behaviors to be
more democratic rather than autocratic in nature.
Similarly, research has also examined the role coach leadership behaviors play in
burnout among coaches. Dale and Weinberg (1989) surveyed 302 high school and
collegiate coaches to determine the relationship between leadership style and burnout.
The authors found that coaches exhibiting a consideration style of leadership rather than
an initiating structure style scored higher on the depersonalization and emotional
exhaustion subscales, a result also suggested by more recent research (Price & Weiss,
2000). Those authors found that coaches who scored higher on the emotional exhaustion
subscale were perceived by athletes as using more democratic and less autocratic
decision-making behaviors. Consideration style coaches typically exhibit more of a
friendship, trustworthy, and respectful interactions with their athletes. Dale and
Weinberg (1989) noted this style of leadership is often associated with coaches who are
democratic, oriented in intrapersonal relationships, caring, approachable, and warm. This
disposition may invite them to become emotionally invested in their athletes. This may
relate to an other-oriented approach to coaching, a personality characteristic which has
been linked to burnout (Feigley, 1984; Henschen, 1998).
Other research has demonstrated an opposing relationship between burnout and
leadership. Kelley et al. (1999) found that coaches who reported more consideration
leadership behaviors also reported lower burnout levels. Similar trends have also been
suggested as coaches who scored higher on burnout subscales of depersonalization and
emotional exhaustion have been perceived by their athletes as using more of an autocratic
Burnout 98
style of coaching (Vealey et al., 1998). In attempting to explain this discrepancy in the
coach population, Vealey and colleagues (1998) suggested methodological differences
may be at fault. Dale and Weinberg (1989) assessed leadership behaviors through
coaches’ self-reported measures. The Vealey study (1998) determined leadership
behaviors using athletes’ perceptions of the coaching behaviors. This difference in
measurement may have lead to the equivocal findings.
The results of the decision-making behavior and burnout research warrant future
attention. The literature suggests that the coaches’ decision-making style (democratic or
consideration) which has been shown to ignite at times their own burnout is one that may
keep athletes from experiencing burnout. Further, the decision-making style linked to
athlete burnout (autocratic or initiating structure) may be one that protects coaches from
experiencing the same. With the results of the abovementioned research equivocal,
future research is clearly needed to further examine this issue to clarify this relationship
and reduce the likelihood of either group experiencing burnout.
Prevention and Treatment of Burnout
Various approaches have been offered for treating and preventing burnout.
Outside of a sport context, Pines (2000) proposed a psychodynamic existential
perspective on burnout and believed the phenomenon occurred when individuals failed to
derive meaning in their lives from their career. Although the theory was presented
outside the sport context, it lends itself nicely to coaches, who could fail to perceive life
significance from their effort and work in a sport environment. In treating burnout, it was
necessary to identify the conscious and unconscious reasons for an individual’s choice in
vocation and how this choice was believed to lead to a sense of life significance. In
Burnout 99
addition, it was important to determine why a person failed to derive a sense of
significance from their work and how this failure relates to burnout. Finally, changes that
were believed to enable the person to achieve meaning in life through their work were
established to help treat burnout.
Much like the definitions of burnout, how to overcome the phenomenon as it
occurs in sport varies depending on the theoretical framework used to explain burnout.
Based on his cognitive-affective stress model, Smith (1986) suggested the additional or
unnecessary sources of stress placed on athletes not endemic to the sport setting be
addressed. Advocated were sport programs that diversify practices, modify problematic
coaching and parental behaviors, and structuring sport experiences that are rewarding to
the athlete. Further, learning athletic and problem-solving skills could enhance an
athlete’s coping ability to perceived stress. Fostering social support through team
building, communication training, and coach training was also believed to help reduce the
likelihood of burnout. Other research has provided similar suggestions, stressing the
importance of social support and communication skills, a creative and fun training
environment, and providing rewarding experiences where athletes feel a sense of
accomplishment (Feigley, 1984; Fender, 1989; Gilbert, 1988; Raedeke et al., 2002;
Rotella et al., 1991).
Rotella et al., (1991) presented additional suggestions empirically supported for
athletes to help prevent burnout from occurring as well as suggestions for coaches to
assist their athletes in avoiding burnout. Ideas for athletes were to have a well-rounded
identity and sport interests, take days off from practice or find time to relax, emphasize
quality practices rather than its quantity, and to try and make practicing and competing
Burnout 100
fun. Suggestions for coaches in keeping their athletes from burning out included
watching signs for staleness, having an awareness of personalities that are more
susceptible to burnout, vary practices, and encouraging athletes to keep balance in their
lives and pursue non-sport interests.
Coakley (1992) recommended moving away from stress as the basis for
prevention and argued that changes in several social arenas would provide the best means
for battling burnout. The following areas were targeted for adjustment: the social
relations associated with the elite sport participation, the amount of control athletes have
over their lives outside of and in sport, the social organization of sport programs and its
circumstances of competition and training, and the ability of athletes to assess the reasons
for their participation and its significance to the rest of their lives. Coakley stressed
attempting to aid athletes in adjusting to the social isolation and dependency often
associated with sport only serves to foreclose those athletes’ identity and entrapment in
sport. Focusing on the social circumstances in which the athlete’s identity is foreclosed
can help foster autonomy and control over their lives reducing the opportunities for
burnout, an idea also supported by others (Feigley, 1984).
Utilizing a stress-based foundation for burnout, Weiss (1987b) provided strategies
for combating burnout in coaches and proposed psychological skills training to do so.
Skills recommended to induce relaxation and reduce anxiety and/or stress included self-
talk modification, controlling physiological arousal, and mental imagery. Also proffered
were enhancing communication skills, reducing role conflict and ambiguity, seeking
social support, and reserving time for themselves.
Burnout 101
Dale and Weinberg (1989) also offered several strategies for the prevention of
burnout for coaches with more of a consideration style of leadership. It was
recommended that coaches focus on quality time with athletes, rather than quantity of
time. Relaxation, imagery, and goal setting, and other coping techniques should be used
as stress-management skills to help coaches deal with the pressures associated with their
vocation. The authors also mentioned that because of the physical symptoms often
experienced with burnout it is important that coaches maintain a good level of physical
health by keeping in shape, sustaining a proper diet, and getting adequate sleep. Finally,
it was suggested coaches realize they are not completely responsible for their athletes’
welfare, and to rely on other avenues of social support (i.e. parents, assistant coaches,
sport psychologist) to help address athlete needs.
Summary
The previous chapter discussed the definitions of burnout and its related terms,
the major theoretical frameworks used to explain its occurrence, and the instrumentation
available to assess burnout. In addition, burnout as it occurs in both athletes and coaches
was addressed, as well as suggestions for its treatment and prevention. Despite the
attention that burnout in a sport context has started to receive, other areas of investigation
are certainly warranted.
Price and Weiss (2000) noted that in addition to their own, only one other study
(Vealey et al., 1998) has examined the relationships between perceived coaching
behaviors, coach burnout, and athlete burnout (or other psychological outcomes) using
the multidimensional model of leadership. Two areas of interest are present regarding this
line of research. First, the relationship of decision-making style and burnout among
Burnout 102
coaches has yet to be clearly identified. As mentioned above, research has yielded
inconsistent findings. An additional issue of concern arises as the coaches’ decision-
making style that has been linked at times to their own burnout (democratic or
consideration) is one that may keep athletes from experiencing burnout. Further, the
decision-making style linked to athlete burnout (autocratic or initiating structure) may be
one that protects coaches from experiencing the same. Future research is clearly needed
to further examine this issue to clarify this relationship and reduce the likelihood of either
group experiencing burnout.
The aforementioned research has paved the way for future studies to examine
similar aspects of leadership behavior and both coach and athlete burnout. Despite their
contributions to the literature, portions of the methodology or study design could be
modified. For example, although Vealey et al’s. (1998) study included an assessment of
coach’s use of autocratic behaviors according to athletes, they did not assess athletes’
perception of a coach’s use of democratic behavior. In addition, a sport-specific measure
to assess coach burnout was not used. Further, the sample of coaches included in the
research was limited (n=12). Price and Weiss’ (2000) study did not include a sport-
specific instrument to assess coach burnout. Further, their sample size of coaches was
also limited (n=15). Future research that attempts to identify the relationship between the
perception of decision-making behaviors utilized by coaches and athlete and coach
burnout should consider utilizing an adequate sample size of each population as well as
employing the use of sport-specific measures to assess burnout.
Burnout 104
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