Youth sport status and perceptions of satisfaction and cohesion.
Jeffery-Tosoni, Sarah M. ; Eys, Mark A. ; Schinke, Robert J. 等
Status within sport teams is defined as "the amount of
importance or prestige possessed by or accorded to individuals by virtue
of their position in relation to others" (Jacob & Carron, 1994,
p. S67). Through a qualitative investigation with Canadian and East
Indian athletes, Jacob-Johnson (2004) highlighted four major sources of
status within sport. These included an individual's physical (e.g.,
performance, experience, role, position), psychological (e.g., positive
attitude, team spirit), and demographic attributes (e.g., age), as well
as his/her relationships with external others (e.g., parental support).
One common type of sport status that results from a combination of
the aforementioned sources is starting status. Predominately a
reflection of both physical and psychological attributes, two general
categories of starting status are commonly considered (e.g., Beauchamp,
Bray, Eys, & Carron, 2005; Connelly, 1992; Granito & Rainey,
1988; Gruber & Gray, 1982). First, starting athletes (i.e.,
'starters') are classified as those players who begin the
competition on the playing surface and typically receive regular playing
time (i.e., higher status athletes). Second, non-starting athletes
(i.e., 'non-starters') are those who typically do not begin
competition on the playing surface and receive limited to no playing
time (i.e., lower status athletes; Eys, Carton, Bray, & Beauchamp,
2003).
Starting status is often included as a standard demographic
variable in sport research. Despite the fact that this variable is not
typically the direct focus of study, there is evidence to suggest its
importance toward the psychological environment within sport. For
example, Gruber and Gray (1982) found that non-starting athletes held
lower perceptions of self-performance satisfaction than starting
athletes. Further, in comparison to starting athletes, non-starters
perceive (a) less value toward their team membership (Gruber & Gray,
1982), (b) lower affiliation desire (Gruber & Gray, 1982), (c) the
group as less cohesive (Granito & Rainey, 1988), (d) lower
interpersonal attractions to the group (Bergeles & Hatziharistos,
2003), (e) lower need for achievement (Teevan & Yalof, 1980), (f) an
intense competition with the starting athletes that can lead to social
distance at the end of a season (Cowell & Ismail, 1961), and (g)
that they are not part of the team and feel bitter, rejected, isolated,
or incompetent (Connelly, 1992). Finally, in a qualitative examination
of a modified soccer program, Hill and Green (2008) found that parents
of children who were consistently in a non-starting role felt their
children's satisfaction and sense of belonging could be hampered
due to their lack of participation.
Based on the research presented in the previous paragraph, it is
reasonable to suggest that starting and non-starting athletes may differ
in perceptions of (a) satisfaction with their athletic experience (e.g.,
Connelly, 1992; Gruber & Gray, 1982; Hill & Green, 2008) and (b)
the degree of cohesiveness within their sport groups (e.g., Bergeles
& Hatziharistos, 2003; Granito & Rainey, 1988; Gruber &
Gray, 1982; Hill & Green, 2008). However, a number of limitations
prevent more firm conclusions and/or greater understanding regarding
satisfaction and cohesion as they pertain to starting status. First, in
several cases, the generalizability of the results is limited due to the
fact that the researchers focused on one specific sport within their
studies (e.g., basketball; Gruber & Gray) or one gender (e.g., males
only; Granito & Rainey). Second, recent multidimensional
conceptualizations and operationalizations of satisfaction (Riemer &
Chelladurai, 1998) and cohesion (Eys, Loughead, Bray, & Carron,
2009) within sport allow for a more in-depth examination of these
constructs in comparison to some of the earlier work that utilized a
unidimensional approach. Finally, Hill and Green provided insights into
more recent experiences of substitute/non-starting players using a
qualitative approach (e.g., field notes, formal and informal
interviews). However, their study tended to focus on the perceptions of
coaches and parents over those of the sport participants.
Consequently, the purpose of the present study was to extend this
previous research and quantitatively examine perceptions of satisfaction
and cohesion as they pertain to starting and non-starting youth athletes
(i.e., higher and lower status athletes) from a variety of sports and
both genders. Toward this end, two separate samples of athletes were
examined. The first sample was utilized to examine perceptions of
satisfaction while cohesion perceptions were assessed from the second
sample. As a frame of reference, athlete satisfaction refers to "a
positive affective state resulting from a complex evaluation of the
structures, processes, and outcomes associated with the athletic
experience" (Riemer & Chelladurai, 2001, p. 135) while cohesion
is "a dynamic process that is reflected in the tendency for a group
to stick together and remain united in the pursuit of its instrumental
objectives and/or for the satisfaction of member affective needs"
(Carton, Brawley, & Widmeyer, 1998, p. 213). Given the suggestions
and findings from the previous studies, it was generally hypothesized
that starters would have greater perceptions of satisfaction and
cohesion than non-starters. However, no specific a priori hypotheses
were forwarded with regard to the specific dimensions of each construct.
The potential implications of the current research project are c
lear: perceptions of both cohesion and satisfaction are linked with
adherence behavior in sport (Carron, Widmeyer, & Brawley, 1988;
Riemer & Chelladurai, 2001). A closer examination of which facets of
satisfaction and cohesion are linked to a player's status will
allow for a more focused approach to intervention, greater consideration
toward lower status athletes (especially at the youth level) with
respect to their contributions to their teams, and potential continued
involvement of these athletes in sport and physical activity. A quote
from Hill and Green (2008) illustrates this issue succinctly: "The
children who transferred to other teams or withdrew ... before the end
of the season were nearly always those who were repeatedly used as
substitutes" (p. 192).
Methods
Participants
The perceptions of two samples of athletes were examined in the
present study, drawing from concurrent on-going research projects
examining youth physical activity. Those individuals between the ages of
12-17 (i.e., youth) and who participated in interdependent team sports
were included in the analyses. The participants in the first sample (N =
61) were drawn from Canadian public schools and ranged in age from 12 to
15 years, with a mean age of 13.59 years (SD = 0.62). Forty-three
self-reported as starting athletes and 18 self-reported as nonstarting
athletes. There were a total of 34 (55.7%) males and 27 (44.3%) females
included in the analysis. The majority listed either soccer or
volleyball as their most important current team (23% each), followed by
hockey (21.3%), basketball (19.7%), and baseball/softball or football
(6.5% each).
In the second sample, athletes (N = 215) ranged in age from 13 to
17 years, with a mean age of 15.27 years (SD = 1.05). One hundred and
seventy participants self-reported as starting athletes while 45
self-reported as non-starting athletes. The gender distribution was
similar to the first sample (57.7% male; 42.3% female) and the
participants listed their most important current sports as hockey
(41.4%), basketball (20.0%), volleyball (15.3%), soccer (13.5%), and
football (9.8%).
Measures
Demographic information. For both samples, participants were asked
to indicate their age, gender, most important and current sport team,
their playing position, and their starting status. Participants were
further instructed to refer to their experiences with the indicated
sport team for the subsequent questionnaires.
Athlete satisfaction. The Athlete Satisfaction Questionnaire (ASQ;
Riemer & Chelladurai, 1998) was administered to assess perceptions
of satisfaction in the first sample. Support for the reliability and
validity of the questionnaire was demonstrated by Riemer and Chelladurai
(1998). The complete ASQ has a total of 56 items housed under 15
dimensions. However, only 23 items from six dimensions were utilized for
the purposes of this study. Subscales were chosen based on anticipated
relevance to the purpose of the present study as well as the youth sport
environment. An example of a dimension that was not included for
examination in the present study pertained to participants'
satisfaction with their team's medical personnel. The vast majority
of participants, if not all, did not have access to this type of service
through their athletic program. Consequently, the satisfaction
dimensions assessed were ability utilization (e.g., "I am satisfied
with the extent to which my role matches my potential"; 5 items;
[alpha] = .90), personal treatment (e.g., "I am satisfied with the
recognition I receive from my coach"; 5 items; [alpha] = .96),
training and instruction (e.g., "I am satisfied with the training I
receive from my coach during the season"; 3 items; [alpha] = .84),
team task contribution (e.g., "I am satisfied with the guidance I
receive from my teammates"; 3 items; [alpha] = .83), team social
contribution (e.g., "I am satisfied with the degree to which my
teammates accept me on a social level"; 3 items; [alpha] = .91),
and personal dedication (e.g., "I am satisfied with the degree to
which I do my best for the team"; 4 items; [alpha] = .79). Each
item was scored on a seven-point Likert-type scale from 1 (not at all
satisfied) to 7 (extremely satisfied).
Cohesion. The Youth Sport Environment Questionnaire (YSEQ; Eys et
al., 2009) was utilized to assess perceptions of cohesion in the second
sample. Initial support for the reliability and validity of the
questionnaire has been demonstrated (Eys et al., 2009). The YSEQ is an
18-item survey that measures two dimensions of cohesion: task (e.g.,
"As a team, we are all on the same page"; 8 items; [alpha]
=.88) and social cohesion (e.g., "I spend time with my
teammates"; 8 items; [alpha] = .92). The two remaining items are
phrased negatively and are not intended to be included in the analyses.
Participants responded to each item on a nine-point Likert-type scale
from 1 (strongly disagree) to 9 (strongly agree).
Procedure
Data collection took place within a classroom setting for both
samples. Initial contact with school principals was made following
approval from both the authors' Research Ethics Board and the
participating school boards. Subsequent to obtaining parental and
participant consent, each participant was given the package of
questionnaires to complete during class time.
Results
Descriptive Statistics
The means and standard deviations for the total sample and each
subsample (i.e., higher status athletes and lower status athletes) are
presented in Table 1. In general, the scores for each study variable
were relatively high for each group, as the means for each of the
dimensions of satisfaction and cohesion were above their respective
mid-points. Inter-correlations between satisfaction variables were
moderately to highly intercorrelated (.38 [less than or equal to] r
[less than or equal to] .84; p < .01) while the bivariate correlation
(r) between task and social cohesion was .39 (p < .001).
Sport Status and Perceptions of Satisfaction
A multivariate analysis of variance (MANOVA) was conducted to test
differences between status levels (i.e., starters vs. non-starters) with
regard to perceptions of six dimensions of satisfaction (i.e., ability
utilization, personal treatment, training and instruction, team task
contribution, team social contribution, personal dedication). The
omnibus MANOVA was significant, Wilks' [lambda] = .58, F(6,54) =
6.65, p < .001, [[eta].sup.2] = .43, indicating that differences
existed between status levels. Further univariate analyses of variance
(ANOVA) were examined with sport status as the independent variable (two
levels: higher status and lower status), and each of the six dimensions
of satisfaction as the individual dependent variables. Significant
differences were found between groups for ability utilization, F(1,60) =
14.05, p < .000, [[eta].sup.2] = .19, team social contribution,
F(1,60) = 22.47, p < .000, [[eta].sup.2] = .28, and personal
dedication, F(1,60) = 10.75, p < .002, [[eta].sup.2] = .15. In each
case, starters perceived greater satisfaction than non-starters (see
Table 1).
Sport Status and Perceptions of Cohesion
Analyses of cohesion perceptions in the second sample proceeded in
a similar manner to satisfaction. The omnibus MANOVA, Wilks'
[lambda] = .97, F(2,212) = 3.22, p < .05, [[eta].sup.2] = .04,
indicated significant differences in perceptions of cohesion between
starters and non-starters. Univariate ANOVA revealed that starters
perceived greater social cohesion than non-starters, F(1,213) = 4.07,p
< .05, [[eta].sup.2] = .02 (see Table 1).
Discussion
The purpose of the present study was to examine perceptions of
satisfaction and cohesion as they pertain to starting and non-starting
youth athletes (i.e., higher and lower status athletes). Overall, the
results lead to the interpretation that non-starting athletes were less
satisfied and perceived less social cohesion on their teams than
starting athletes. A number of issues related to specific dimensions of
satisfaction and cohesion are addressed in subsequent paragraphs.
One of the satisfaction dimensions that differed between starters
and non-starters pertained to ability utilization. From a face validity
standpoint, this result provides support for the current study in that
it might be expected that non-starters (by definition, those whose
playing abilities are not utilized extensively) would be less satisfied
with respect to this dimension. Even more pressing is what the present
result means in terms of practical application. One might propose that
there could be alternatives to typical sport team structures and
operations such that substitutes/non-starters could be more satisfied
with the degree to which their abilities are utilized. As one option,
coaches could make stronger attempts to encourage, utilize, and
recognize other abilities/behaviors of lower status athletes (e.g.,
providing social support for the team, challenging other players in
practice, etc.) to increase perceptions of satisfaction for the
non-starters. As a result, lower status athletes might gain a clear
sense of the specific abilities they possess that are valued by their
coaches and teammates.
Another option, dependent on the level of competition, is to
eliminate the concept of starters/non-starters from the team's
environment. Numerous recreational and youth leagues have attempted to
modify rules, physical space, and playing time expectations to maximize
participation for all team members (Hill & Green, 2008). Hill and
Green have even gone one step further to suggest that sport
organizations consider planning team roster sizes that allow all
athletes to participate on the playing surface at all times. While their
suggestion might seem (a) a bit drastic and (b) relevant only to very
specific sports and/or situations wherein athletes have the stamina to
endure the entire match/contest, alternative structures and behaviors
should be considered to keep lower status athletes interested and
motivated in sporting activities.
The previous discussion pertaining to satisfaction with ability
utilization focuses mostly on the task component of sport involvement.
However, a consistent finding across both samples was related to social
aspects of the athletes' environment. For the first sample,
nonstarters perceived less satisfaction with team social contribution,
which refers to how other group members relate to the athlete on a
personal level (Riemer & Chelladurai, 1998). Nonstarters in the
second sample perceived less social cohesion within their team. This
dimension of cohesion reflects how the group interacts socially as a
unit and the degree to which the athlete is drawn toward the social
activities of the group. These results are similar to previous findings
suggesting lower status athletes have less affiliation desire (Gruber
& Gray, 1982), lower interpersonal attractions to the group
(Bergeles & Hatziharisos, 2003), and perceive social distance from
higher status athletes (Cowell & Ismail, 1961). From these results,
the need to focus on the social dynamics within a team and ensure that
lower status athletes feel included in the group are stressed. Within
the sport setting, coaches could lead team building exercises that do
not focus on technical skill (e.g., cooperative games, trust exercises)
so as to allow all athletes to reap the benefits regardless of status
level. Also, facilitating team social gatherings outside of the sport
setting would allow lower status athletes the opportunity to bond with
their teammates without the potential of feeling marginalized by their
particular athletic status on the team.
Two limitations in the present study are worth briefly noting.
First, an unequal number of self-identified higher and lower status
athletes participated in the research project (i.e., approximately a
quarter of participants self-identified as non-starters across the two
samples). This is likely due to the method employed as participants from
both samples were instructed to refer to their most important current
sport team as a frame of reference for responding to the questionnaires.
It is likely that a participant's most important team was the one
he/she participated in the most. In an effort to examine the possible
effect of unequal sample size, a post-hoc examination of cohesion
perceptions was conducted comparing the non-starters (n = 45) with a
random sample of 45 starting athletes (through the SPSS randomization
tool). Our initial findings were supported in that the omnibus MANOVA,
Wilks' [lambda] = .93, F(2,87) = 3.24, p < .05, [[eta].sup.2] =
.07, indicated significant differences in perceptions of cohesion
between starters and nonstarters. Similarty, univariate ANOVA revealed
that starters (M = 6.31 [+ or -] 1.59) perceived greater social cohesion
than non-starters (M = 5.63 [+ or -] 1.66), F(1,88) = 3.92, p = .05,
[[eta].sup.2] = .04. Again, no differences were round between the two
groups for perceptions of task cohesion.
A second issue is that conclusions drawn from the satisfaction
results in the present study are limited given the number of
participants in the first sample. However, the ratios of males/females
and starters/non-starters are consistent with those round in the second
larger sample. Further, taken in totality (i.e., from both samples), the
results are consistent and support the need to consider the group's
social environment with respect to starters and nonstarters.
In sum, the present study provides further evidence that
perceptions of satisfaction and cohesion differ between starting and
non-starting athletes, which has implications for research and
application. A common practice in sport research is to query
participants on their starting status as part of the collection of
demographic information. This feature of sport involvement should be
considered a potent moderating variable when examining psychological or
social-psychological constructs in this environment. More importantly,
given the interconnections between cohesion, satisfaction, and adherence
behaviors (Carron, Widmeyer, & Brawley, 1988; Riemer &
Chelladurai, 2001), individuals working with athletes (e.g., coaches,
sport psychology consultants, etc.) will want to consider the
implications of status on the youth sport experience.
References
Beauchamp, M. R., Bray, S. R., Eys, M. A., & Carron, A. V.
(2005). Leadership behaviors and multidimensional role ambiguity
perceptions in team sports. Small Group Research, 36, 5-20.
Bergeles, N., & Hatziharistos, D. (2003). Interpersonal
attraction as a measure of estimation of cohesiveness in elite
volleyball teams. Perceptual and Motor Skills, 96, 81-91.
Carron, A. V., Brawley, L. R., & Widmeyer, W. N. (1998). The
measurement of cohesiveness in sport groups. In J. L. Duda (Ed.),
Advances in sport and exercise psychology measurement (pp. 213-226).
Morgantown, WV: Fitness Information Technology.
Carron, A. V., Widmeyer, W. N., & Brawley, L. R. (1988). Group
cohesion and individual adherence to physical activity. Journal of Sport
& Exercise Psychology, 10, 119-126.
Connelly, D. (1992). The benchwarmer. Sport Psychology Training
Bulletin for Athletes, Coaches & Parents, 4, 1-8.
Cowell, C. C., & Ismail, A. H. (1961). Validity of a football
rating scale and its relationship to social integration and academic
ability. Research Quarterly, 32, 461-467.
Eys, M. A., Carron, A. V., Bray, S. R., & Beauchamp, M. R.
(2003). Role ambiguity and athlete satisfaction. Journal of Sports
Sciences, 21, 391-40 l.
Eys, M. A., Loughead, T. M., Bray, S. R., & Carron, A. V.
(2009). Development of a cohesion questionnaire for youth: The Youth
Sport Environment Questionnaire. Journal of Sport & Exercise
Psychology, 31,390-408.
Granito, V. J., & Rainey, D. W. (1988). Differences in cohesion
between high school and college football teams and between starters and
nonstarters. Perceptual and Motor Skills, 66, 471-477.
Gruber, J. J., & Gray, G. R. (1982). Responses to forces
influencing cohesion as a function of player status and level of male
varsity basketball competition. Research Quarterly, 53, 27-36.
Hill, B., & Green, B. C. (2008). Give the bench the boot! Using
Manning Theory to design youth-sport programs. Journal of Sport
Management, 22, 184-204.
Jacob, C. S., & Carron, A. V. (1994). Sources of status in
intercollegiate sport teams. Journal of Sport & Exercise Psychology,
16, S67.
Jacob-Johnson, C. S. (2004). Status in sport teams: Myth or
reality? International Sports Journal, 8, 55-64.
Riemer, H. A., & Chelladurai, P. (1998). Development of the
Athlete Satisfaction Questionnaire (ASQ). Journal of Sport &
Exercise Psychology, 20, 127-156.
Riemer, H. A., & Chelladurai, P. (2001). Satisfaction and
commitment of Canadian university athletes: The effects of gender and
tenure. Avante, 7, 27-50.
Teevan, R. C., & Yalof, J. (1980). Need for achievement in
"starting" and in "non-starting" varsity athletes.
Perceptual and Motor Skills, 50, 402.
Sarah M. Jeffery-Tosoni
York University
Mark A. Eys
Wilfrid Laurier University
Robert J. Schinke and John Lewko
Laurentian University
Address correspondence to: Sarah Jeffery-Tosoni, York University,
School of Kinesiology and Health Science, Norman Bethune College, Room
351, 4700 Keele St., Toronto, ON, M3J 1P3. Email: sjt@yorku.ca.
Table 1. Descriptive Statistics for the Total Sample and the Two
Status Levels (Mean [+ or -] SD)
Variable Total Sample Starting Status
Ability Utilization (a) 5.85 [+ or -] 1.12 6.17 [+ or -] 0.81
Personal Treatment (a) 6.06 [+ or -] 1.16 6.21 [+ or -] 1.00
Training and Instruction (a) 5.87 [+ or -] 1.01 5.94 [+ or -] 1.00
Team Task Contribution (a) 5.39 [+ or -] 1.15 5.44 [+ or -] 1.07
Team Social Contribution (a) 5.63 [+ or -] 1.52 6.14 [+ or -] 1.02
Personal Dedication (a) 6.21 [+ or -] 0.81 6.41 [+ or -] 0.52
Task Cohesion (b) 6.60 [+ or -] 1.39 6.57 [+ or -] 1.40
Social Cohesion (b) 6.08 [+ or -] 1.70 6.20 [+ or -] 1.69
Variable Non-Starting Status
Ability Utilization (a) 5.10 [+ or -] 1.40
Personal Treatment (a) 5.69 [+ or -] 1.45
Training and Instruction (a) 5.72 [+ or -] 1.04
Team Task Contribution (a) 5.26 [+ or -] 1.36
Team Social Contribution (a) 4.41 [+ or -] 1.82
Personal Dedication (a) 5.72 [+ or -] 1.13
Task Cohesion (b) 6.72 [+ or -] 1.39
Social Cohesion (b) 5.63 [+ or -] 1.66
Notes. (a) Satisfaction dimensions, scale range = 1-7.
(b) Cohesion dimensions, scale range= 1- 9.