Developmental trends in athletic identity: a two-part retrospective study.
Houle, James L.W. ; Brewer, Britton W. ; Kluck, Annette S. 等
Identity, as defined by Erik Erikson (1968), is a process that
unites personality and connects the individual to the social world.
Theory on identity development has led to research on how identity
changes over time (Erikson; Josselson, 1987; Marcia, 1966). Erikson
proposed a theory of identity formation consisting of eight age specific
stages of development. Each stage involves the experience of a crisis
that must be resolved prior to moving forward in development. Upon
entering adolescence, children face crises of industry versus
inferiority and identity versus role confusion. The majority of identity
development is thought to occur between these two stages or between the
ages of 10 and 20 years. Changes in the athletic portion of identity may
also occur during this time period (Brewer, Van Raalte, & Linder,
1993; Miller & Kerr, 2003).
Research on identity development has begun to focus on identity
related to athletes. Athletic identity has been defined as the degree to
which an individual identifies with the athlete role (Brewer et al.,
1993). Much of the literature on athletic identity has examined the
construct in relation to responses to sport transitions. For example,
research has shown that athletic identity is positively associated with
depressive responses to both actual and hypothetical sport injuries
(Brewer, 1993), problems adapting to sport retirement (Alfermann,
Stambulova, & Zemaityte, 2004), and anxiety in career decision
making (Grove, Lavallee, & Gordon, 1997).
Researchers have also examined developmental aspects of athletic
identity. In a retrospective study of investigating the importance of
sport (i.e., how important does one consider sport to be in one's
life) for former athletes across their development, Greendorfer and
Blinde (1985) found that the importance of sport increased throughout
high school and then drastically declined from freshman to senior year
in college. Similarly, in a qualitative study, Miller and Kerr (2003)
found a decline in the salience of the athlete role over the college
career of student-athletes. In a cross-sectional study, Brewer et al.
(1993) documented a negative relationship between athletic identity and
age of collegiate student-athletes.
With the exception of the study by Greendorfer and Blinde (1985),
who found a curvilinear relationship between the importance of sport and
age starting in high school and running though college, research on the
developmental aspects of athletic identity has focused primarily on the
college years. To build on the work of Greendorfer and Blinde, the aim
of Study I was to investigate athletic identity trends over an extended
period of time exceeding five years. A sample of female collegiate
gymnasts was selected to insure that participants would have a sport
career of sufficient duration upon which to reflect. Based on previous
research (Brewer et al., 1993; Greendorfer & Blinde, 1985; Miller
& Kerr, 2003), the athletic identity of female gymnasts was
predicted to be higher at age 15 than for age 10 and to decline from age
15 through college.
STUDY 1
Method
Participants
Female intercollegiate gymnasts (N = 63) aged 18 to 22 years
participated in this study. Gymnasts involved in the study must have
been performing in the sport of gymnastics for a minimum of 10 years
prior to the investigation. Collegiate gymnastics coaches were contacted
to distribute the study materials to the female gymnasts of each
respective participating institution. Participants reported their
ethnicity as African American (n = 2), Asian (n = 1), Hispanic (n = 1),
and Caucasian (n = 59). Participation in this study was anonymous and
voluntary. The sample included gymnasts from universities and colleges
in four separate states in the United States.
Measures
The Athletic Identity Measurement Scale (AIMS; Brewer &
Cornelius, 2001) was used to assess athletic identity. The AIMS consists
of 7 items to which individuals respond on a scale from 1 (strongly
disagree) to 7 (strongly agree). AIMS scores can range from 7 to 49,
with higher scores indicative of stronger athletic identity. The AIMS is
internally consistent ([alpha] = .81) as well as highly correlated with
a previous 10-item version of the AIMS (Brewer et al., 1993). The AIMS
has been used retrospectively in at least two previous studies (Grove et
al., 1997; Shachar, Brewer, Cornelius, & Petitpas, 2004). For
example, Grove et al. asked retired athletes to remember their athletic
identity at the time of their retirement. On average, the time between
the participants' retirement and the filling out of the AIMS was
3.44 years. Similarly, Shachar et al. asked former athletes to reflect
on their athletic identity at the time of retirement. The fact that the
sample included individuals between the ages of 20 and 44 years
indicates that some participants (i.e., those age >40) had to reflect
on what their athletic identity was like many years prior. In both of
these studies, findings consistent with theoretical predictions were
obtained. Although the use of a retrospective method is not ideal,
research on the "reminiscence bump" (i.e., the tendency to
recall relatively larger amounts of information about the late
adolescent/early adulthood years) indicates that individuals may
remember more information about when they were between the ages of 15-25
due to the development of one's identity, self-image, and life
schema during this time (Fitzgerald, 1998; Rathborne, Moulin, &
Conway, 2008; Robinson & Swanson, 1990). The development of these
important aspects of the self may in turn facilitate the retention of
related memories (Fitzgerald). One example of an important aspect of the
self during this time period is the athlete role.
Procedures
After completing an informed consent form, participants were asked
to complete the AIMS. Instructions were given to complete the AIMS
retrospectively for the ages of 10 and 15 years as well as for the
current age of the athlete.
Results and Discussion
Differences in athletic identity scores among three different ages
(ages 10, 15, and current age) of female gymnasts were examined using a
one-way repeated-measures analysis of variance (ANOVA). There was a
significant effect for athletic identity across the three ages, F(2, 61)
= 7.56, p = .001. The magnitude of the association between age and
athletic identity was examined by calculating a partial eta-squared. A
value of .20 was obtained, indicating that approximately 20% of the
variance in AIMS scores was accounted for by the age of the athletes.
Pairwise comparisons were computed to better understand the
significant effect for athletic identity as a function of stage of sport
career. As shown in Figure 1, participants reported having lower
athletic identity at age 10 (M = 34.67, SD = 8.89) than they did at age
15 (M = 37.82, SD = 5.64), t(60) = 3.42, p = .001. Participants reported
having significantly lower athletic identity at age 10 than they did at
their current age in college (M = 37.41, SD = 5.33), t(60) = 2.51, p =
.015. No significant mean difference was found between athletic identity
at age 15 and their current age, t(60) = 0.65, p > .05. To explore
the possibility of a relationship between athletic identity and current
age, Pearson correlations were calculated between current athletic
identity scores and both age in college and year in school. Current
athletic identity score was not significantly related to both age in
college (r = .01, p > .05) and year in school (r = .01, p > .05).
Given the limited age span and number of years in school represented,
there is the potential of restriction of range. This potential, however,
is negated somewhat by previous research in which significant
correlations between these variables and athletic identity have been
obtained with college student samples (Brewer et al., 1993).
In sum, contrary to the hypothesis that athletic identity would
significantly decline with age, we found a significant increase in
athletic identity from age 10 to age 15. Moreover, there was no
significant change in athletic identity between age 15 and current age.
We also found that current athletic identity of college athletes was
greater than their level of athletic identity at age 10, indicating that
athletic identity did not decline to levels experienced during
preadolescent years. In addition, the correlation between current age
and current AIMS score was not significant. One possible explanation for
the findings in Study 1 could be the tendency of the sport of gymnastics
to inspire overidentification with the athlete role. It is also possible
that the divergent findings in Study 1 are related to the level of sport
of the athletes within the study or were a function of assessing
athletes at a highly committed period of their sport careers. Thus,
including college-aged participants with sport careers that ended at the
high school level could help explicate the findings in Study 1.
[FIGURE 1 OMITTED]
The unexpected findings from Study 1 call for follow-up research to
identify an explanation. Of the two explanations given above for the
findings in Study l, the more likely of the two is that athletic
identity increased over time because the sample that took part in Study
1 (collegiate gymnasts) was still highly invested in the sport. Put
another way, because the gymnasts were still participating, their
athletic identity may still have been at an elevated level during their
college years. These possibilities should be explored further.
STUDY 2
Past research has established a certain tendency for individuals
involved in gymnastics to experience encouragement to overidentify with
their role as an athlete (Kerr & Dacyshyn, 2000; Klint & Weiss,
1986; Krane, Greenleaf, & Snow, 1997; Lavallee & Robinson,
2007). Klint and Weiss investigated the demands of gymnastics and
attrition rate related to such demands. Gymnasts were reported to have
left the sport because of the conflict with social activities other than
gymnastics. This attrition would thus leave only the athletes willing to
identity strongly with the sport at the expense of outside activities.
Kerr and Dacyshyn also commented on the sacrifices demanded of gymnasts,
noting how the extreme amount of time needed for the sport can lead to
exclusion from other activities besides gymnastics. Krane et al.
investigated the role of coaches in such overidentification with the
sport. Coaches were reported to have rewarded those gymnasts willing to
strive above and beyond standards for perfection. Kerr and Dacyshyn
further remarked on the narrow focus in gymnastics, stating that
"female gymnasts become single-mindedly focused on sport far
earlier in life than most athletes" (p. 127). Lavallee and Robinson
also noted that gymnastics creates a "strong and exclusive
gymnastics identity" (p. 130). Because gymnasts begin the sport at
such a young age, the identity of the gymnast is intertwined heavily
with the sport instead of dispersed widely among other activities.
Although the overidentification argument is interesting to
consider, a more plausible explanation for the findings in Study 1 has
to do with the elevated investment of those athletes sampled. This
argument begs two separate questions: (a) What happens to the athletic
identity levels of athletes when they stop participating in competitive
sport? and (b) What maintains athletic identity levels when competitive
athletes are still involved in sport?
Shachar et al. (2004) studied athletes after retirement, comparing
those who became coaches and those who did not. Those who did not become
coaches had a greater decline in athletic identity than those who
maintained involvement in sport through coaching. Grove, Fish, and
Eklund (2004) compared the athletic identity levels for athletes who
made the cut for a team and those who did not, finding that athletic
identity decreased significantly for those individuals who were cut from
a team.
If athletes are still involved in sport, what maintains their
athletic identity levels? Wenner (1995) implicated both schools and
parents in reinforcing how an athlete identifies with the athlete role,
discussing how schools allow athletes to miss classes and days of school
because of sport. Similarly, Wenner argued that parents of athletes have
a unique experience, viewing their child as special because of the
involvement of the child in sport. Stephan and Brewer (2007) examined
social and personal issues that may maintain the athletic identity of
athletes. In the social domain, individuals who participated in elite
sport reported feeling more like an athlete due to factors such as the
ability to not have to be employed, having coaches reinforce their
self-definition as elite athletes, having a team as a social network,
having a social status, and being glorified as an athlete. Personally,
individuals who were involved in elite sport allowed sport to give
meaning to their lives, got an enhanced feeling from being an elite
athlete, and relished such things as having a muscular body and
outstanding skill.
To test these two explanations for the unexpected findings in Study
1, Study 2 included a sample of athletes and former athletes from
multiple sports. If the results from Study I were a function of gymnasts
overidentifying with their athlete role, we would expect to find a
decline in the level of athletic identity among the athletes from age 15
to their current age. However, if our hypothesis that the Study 1
findings reflect an elevated level of investment among individuals still
involved in sport were correct, then we would expect to find a similar
pattern to that obtained with the gymnasts, where athletic identity
would be higher at current age than at age 10 for athletes and that
collegiate athletes would have higher levels of athletic identity than
former athletes at their current ages. In addition, Study 2 included
individuals who did not participate in competitive sport during high
school and beyond to compare changes in former athletes to those of a
control sample. Based on previous research (Grove et al., 2004; Shachar
et al., 2004), athletic identity levels were predicted to be
significantly greater in college for intercollegiate athletes compared
to students who were athletes through high school only and
student-nonathletes. It was also predicted that student-nonathletes
would have significantly lower athletic identities at 10 years, 15
years, and current age in college when compared to the students with
sport careers through high school and current college athletes.
Method
Participants
A total of 179 individuals participated in the study. Self-report
was used to indicate if participants were non-athletes, former athletes,
or current athletes. Self-report was used to indicate if participants
were nonathletes, former athletes, or current athletes. More
specifically, former athletes were defined as those participants who
indicated that they were involved in club or high school sports prior to
attending college (n = 112). Nonathletes were participants who reported
never having been involved in sport (n = 34). Finally, current athletes
were those participants who indicated that they were currently involved
in Division IA intercollegiate sport (n = 33). Participants were
recruited from classes and training sessions at a large Southeastern
university.
To be consistent with the theme of Study 1, we sought to represent
three developmental periods: (a) preteen (10 years); (b) teen (15
years); and (c) adulthood (current age in college). Thus, we established
a selection criterion that prospective participants must be at least 19
years of age and no older than age 25 to participate. The participants
ranged in age from 19 to 24 years. The sample consisted of first-year
students (n = 34), sophomores (n = 50), juniors (n = 42), seniors (n =
38), and fifth-year students (n = 16). For the current athlete group,
the sports from which participants were drawn were baseball (n = 14),
football (n = 5), softball (n = 2), swimming (n = 3), track and field (n
= 3), tennis (n = 2), and several other sports that had one individual
who participated (e.g., diving, volleyball, equestrian, water polo, and
women's lacrosse). For the former athlete group, the sports in
which they participated were softball (n = 42), basketball (n = 36),
soccer (n = 27), cheerleading (n = 26), baseball (n = 16), football (n =
14), swimming (n = 12), volleyball (n = 11), and several other sports
(e.g., rowing, ice hockey, lacrosse, golf, tennis, equestrian, dance,
track and field). No gymnasts were involved in the sample of college
athletes in order to ensure that any replication of results in Study 2
would not be a function of specific aspects of the sport of gymnastics.
However, four former athletes participated in the sport of gymnastics.
Considering the importance of not including gymnasts in the college
athlete population for comparison purposes, the inclusion of the four
former gymnasts was deemed acceptable. The participants were
predominately Caucasian (n = 150), with the remaining participants
self-identifying as Black/African American (n = 21), American
Indian/Alaskan Native (n = 2), Asian (n = 1), and biracial or
multiracial (n = 6). Participation was voluntary and participants did
not receive any benefits in exchange for their participation.
Procedure
The athlete sample was recruited following team training sessions,
as well as from university classroom settings. Former athletes and
nonathletes were recruited from classroom settings. After completing an
informed consent form, former athletes, nonathletes, and current
athletes were asked to complete the AIMS for the retrospective ages of
10 and 15 years as well as for the current age.
Results and Discussion
A 3 (age 10, age 15, and current age) X 3 (former athletes,
nonathletes, and current athletes) mixed ANOVA was used to test the
hypotheses. Although significant main effects were found for status as
and athlete (former athlete, nonathlete, and current athlete), F(2, 166)
= 75.64, p < .001, and age, F(2, 332) = 25.07, p < .001, these
main effects are qualified by a significant interaction between age and
athletic status, F(4, 332) = 21.32, p < .001 (see Figure 2). To
better understand the significant interaction, we examined the simple
effects of group for each age, The test of simple effects of group for
current age yielded a statistically significant result, F(2, 167) =
92.74, p < .001, [[eta].sub.p.sup.2] = .53. We conducted post hoc
analyses using the Tukey HSD and found that the nonathletes (M = 12.09,
SD = 1.36) had significantly lower levels of athletic identity than the
former (M = 22.37, SD = 0.86) and current (M = 39.18, SD = 1.24)
athletes (p < .001 in both cases). In addition, the former athletes
had significantly lower levels of athletic identity than did the current
athletes at their current age (p < .001). The test of simple effects
of group for age 15 was statistically significant, F(2, 169) = 79.26, p
< .001, [[eta].sub.p.sup.2] = .48. Examination of the post hoc
analyses revealed that nonathletes (M = 16.53, SD = 1.65) had
significantly lower levels of athletic identity than both former (M =
36.12, SD = 0.87) and current (M = 39.21, SD = 1.14) athletes (p <
.001 in both cases), whereas the current and former athletes did not
differ (p = .20). Finally, the tests of simple effects of group for age
10 was statistically significant, F(2, 170) = 16.6 l, p < .001,
[[eta].sub.p.sup.2] =. 16. The athletic identity of nonathletes (M =
20.35, SD = 2.19) was significantly lower than that of former (M= 30.67,
SD = 1.04) and current (M = 34.33; SD = 1.41) athletes (p < .001 in
both cases), but the levels of athletic identity did not differ
significantly between athlete groups, p =. 19.
To ascertain whether the athletic identity of current athletes was
significantly higher at their current age than at age 10, we conducted a
single repeated-measures ANOVA with AIMS scores at ages 10 and current
age serving as the dependent measures. As expected, athletic identity
was significantly higher for current age when compared to age 10 for
individuals still involved in sport, F(1,32) = 10.48,p = .003,
[[eta].sub.p.sup.2] = .25.
[FIGURE 2 OMITTED]
In sum, as predicted, the level of athletic identity for current
athletes was significantly higher than that of former athletes at their
current age in college. Nonathletes also had significantly lower athlete
identity levels at retrospective ages 10 and 15 years, as well as for
current age when compared to both former athletes and current athletes.
In addition, no significant mean differences were obtained when
comparing athletic identity levels of current athletes and former
athletes at the retrospective ages of 10 and 15 years. Finally, the
pattern for athletic identity across ages from Study 1 was replicated
with the current athlete group in Study 2.
General Discussion
The results from both Study 1 and Study 2 appear to contradict
previous research regarding trends for athletic identity over time
(Brewer et al., 1993; Greendorfer & Blinde, 1985; Miller & Kerr,
2003). As expected, the Study 1 findings indicated a significant
increase in athletic identity for female gymnasts from retrospective age
10 to retrospective age 15. There was, however, no significant
difference in athletic identity level from retrospective age 15 to
current age. To understand the unexpected findings of Study 1 and
explore a plausible explanation for the discrepant findings, Study 2
focused on exploring the athletic identity of athletes from various
sports other than gymnastics as well as individuals who were not
currently athletes. This sample was used to determine if the apparent
failure to find a significant decrease from age 10 to current age in
athletic identity in Study I was due to characteristics of the sport of
female gymnastics or was a factor of sampling athletes who continued to
be highly invested in their sport at the time of the investigation.
Findings in Study 2 were similar to those in Study 1, revealing an
increase in athletic identity from retrospective age 10 to retrospective
age 15 for current athletes, with no significant difference from
retrospective age 15 to current age. Thus, these findings support the
explanation that the failure to find a significant decrease in athletic
identity from retrospective age 15 to current age in Study 1 is related
to the fact that the sample was still highly committed to their sport
career at the time of the investigation.
Although the developmental trends for athletic identity of current
athletes in Study 2 are similar to those in Study 1, they are
inconsistent with previous literature. Two related studies suggested
that athletic identity declines with age after high school.
Specifically, the current study contrasts with the findings of
Greendorfer and Blinde (1985) and Brewer et al. (1993). One post hoc
explanation for the discrepancies in the findings could be the
differences in the way the studies were conducted. Compared to Studies 1
and 2, Brewer measured athletic identity cross-sectionally for college
athletes, whereas Greendorfer and Blinde asked former athletes to report
level of importance of sport in their career in a retrospective
longitudinal manner. Specifically, Greendorder and Blinde analyzed
changes in how important individuals thought sport was in their life at
different ages, focusing on those who initially reported sport was
"very important" or "extremely important," thus
examining change among only those athletes at the extreme end of the
continuum without regard for the degree of decline.
Consideration of our findings for the former athlete group may help
shed some light on the question of what predicts decline in athletic
identity. Based on our findings that athletic identity significantly
increased from age 15 (where members of the former athlete group were
involved in sport) to present age (where members of the former athlete
group were not involved in inter-collegiate sports), it appears
reasonable to assume that if the investigators were to measure athletic
identity after retirement for the athlete participants used in both
studies, results would likely indicate a significant decline in athletic
identity following athletic retirement. This trend would be consistent
with current literature regarding declines in athletic identity
following sport retirement (Grove et. al., 2004; Shachar et al., 2004)
Because both of the studies in this investigation garnered
contradictory findings when compared to the literature on athletic
identity trends over time, further research should explore this
phenomenon. Stephan and Brewer's (2007) discussion of the social
and personal issues that may maintain the athletic identity of athletes
has important implications for understanding the findings of the current
studies. Stephan and Brewer indicated that factors such as not having to
be employed (outside of being an athlete) as well as having coaches
reinforce athletes defining themselves as athletes contributes to the
maintenance of athletic identity. It may also be the case that athletes
come to the end of their career wanting to associate more with being an
athlete with the knowledge that this facet of their life will soon be
over. These and other hypothesized reasons for the lack of a decrease in
athletic identity by current athletes in Study 1 and Study 2 should be
explored further.
Limitations
A primary limitation of both Study 1 and Study 2 was the use of a
retrospective design. Participants were requested to recall how they
were at ages 10 and 15 and fill out the AIMS. Future research should
explore athletic identity of athletes longitudinally using a prospective
approach. A longitudinal study would minimize error due to memory and
enhance understanding of changes that occur within athletes across time
and the effects of relevant events (e.g., injury preventing competition,
winning a competition, upset losses in competition, transition to
off-season) on such changes. A second limitation involves the nature of
the athlete sample. The athlete group for Study 2 was small (n = 33).
Additionally, Study 2 had a restricted, predominantly Caucasian sample
that was recruited from a single university, with individuals involved
in selected sports or classes serving as participants in the athlete
group. Research with a larger and more diverse group of athletes may
provide additional information about developmental trends in athletic
identity. Finally, no demographic information regarding gender was
included in Study 2. Including this information would have allowed for
an observation of the similarities and differences between Study 1 and
Study 2 athletic identity scores for males and females. In the future,
researchers are encouraged to include this information for comparison of
athletic identity by gender.
Applied Implications
Despite the limitations of the current study, the findings have
several practical implications. Specifically, athletic identity appears
to increase for collegiate athletes relative to their preteen years.
This indicates that being an athlete is an important part of the
individual's identity into early adulthood. This may leave
collegiate athletes susceptible to negative consequences associated with
elevated levels of athletic identity, such as depressive responses to
becoming injured (Brewer, 1993), difficulty adapting to retirement
(Alfermann et al., 2004), and a lower sense of career maturity (Murphy,
Petitpas, & Brewer, 1996). These potential consequences should be
considered when practitioners come into contact with athletes
demonstrating unusually high levels of athletic identity.
References
Alfermann, D., Stambulova, N., & Zemaityte, A. (2004). Reaction
to sport career termination: A cross-national comparison of German,
Lithuanian, and Russian athletes. Psychology of Sport and Exercise, 5,
61-76.
Brewer, B, W. (1993). Self-identity and specific vulnerability to
depressed mood. Journal of Personality, 61, 343-365.
Brewer, B. W., & Cornelius, A. E. (2001). Norms and factorial
invariance of the Athletic Identity Measurement Scale. Academic Athletic
Journal, 15, 103-113.
Brewer, B. W., Van Raalte, J. L., & Linder, D. E. (1993).
Athletic identity: Hercules' muscles or achilles heel?
International Journal of Sport Psychology, 24, 237-254.
Erikson, E. H. (1968). Identity: Youth and crisis. New York:
Norton.
Fitzgerald, J. M. (1998). Vivid memories and the reminiscence
phenomena: The role of a self-narrative. Human Development, 31, 261-273.
Greendorfer, S. L., & Blinde, E. M. (1985).
"Retirement" from intercollegiate sport: Theoretical and
empirical considerations. Sociology of Sport Journal, 2, 101-110.
Grove, J. R., Lavallee, D., & Gordon, S. (1997). Coping with
retirement from sport: The influence of athletic identity. Journal of
Applied Sport Psychology, 9, 191-203.
Grove, J. R., Fish, M., & Eklund, R. C. (2004). Changes in
athletic identity following team selection: Self-protection versus
self-enhancement. Journal of Applied Sport Psychology, 16, 75-81.
Horton, R. S., & Mack, D. E. (2000). Athletic identity of
marathon runners: functional focus or dysfunctional commitment? Journal
of Sport and Behavior, 23, 101-119.
Josselson, R. (1987). Finding herself: Pathways to identity
development in women. San Francisco: Jossey-Bass.
Kerr, G. & Dacyshyn, A. (2000). The retirement experience of
elite, female gymnasts. Journal of Applied Sport Psychology, 12,
115-133.
Klint, K. A., & Weiss, M. R. (1986). Dropping in and dropping
out: Participation motives of current and former youth gymnasts.
Canadian Journal of Applied Sport Science, 11, 106-114.
Krane, V., Greenleaf, C.A., & Snow, J. (1997). Reaching for
gold and the price of glory: A motivational case study of an elite
gymnast. The Sport Psychologist, 11, 53-71.
Lavallee, D., & Robinson, H. K. (2007). In pursuit of an
identity: A qualitative exploration of retirement from women's
artistic gymnastics. Psychology of Sport & Exercise, 8, 119-141.
Marcia, J. E. (1966). Development and validation of ego-identity
status. Journal of Personality and Social Psychology, 35, 63-78.
Miller, P. S., & Kerr, G. A. (2003). The Role experimentation
of intercollegiate student athletes. The Sport Psychologist, 17,
196-219.
Murphy, G. M., Petitpas, A. J., & Brewer, B. W. (1996).
Identity foreclosure, athletic identity, and career maturity in
intercollegiate athletes. The Sport Psychologist, 10, 239-246.
Rathbone, C. J., Moulin, C. J., & Conway, M. A. (2008).
Self-centered memories: The reminiscence bump and the self. Memory &
Cognition, 36, 1403-1414.
Robinson, J. A., & Swanson, K. L. (1990). Autobiographical
memory: The next phase. Applied Cognitive Psychology, 4, 321-335.
Shachar, B., Brewer, B. W., Cornelius, A. E., & Petitpas, A. J.
(2004). Career decision-making, athletic identity, and adjustment
difficulties among retired athletes: A comparison between coaches and
non-coaches. Kinesiologia Slovenica, 10, 71-85.
Stephan, S. & Brewer, B. W. (2007). Perceived determinants of
identification with athlete role among elite competitors. Journal of
Applied Sport Psychology, 19, 67-79.
Wenner, L. A. (1995). Special treatment for athletes bites back.
Journal of Sport & Social Issues, 331-334.
James L. W. Houle
Auburn University
Britton W. Brewer
Springfield College
Annette S. Kluck
Auburn University
Address Correspondce To: James L. Houle, 2084 Haley Center, Auburn
University, AL. 36849