Accreditation, Curriculum, and Competition: An Explanatory Case Study of Sport Sales Education in Undergraduate Sport Management Programs

Authors: Joshua S. Greer1, Nicholas Zoroya2, and Tim Wilson3

1Cumberland University

2Wayne State University

3Middle Tennessee State University

 

Corresponding Author:

Joshua S. Greer

[email protected]

Joshua S. Greer. https://orcid.org/0009-0005-2890-1673

We have no known conflict of interest to disclose.

ABSTRACT 

This explanatory mixed-methods case study explored the relationship between accreditation, curriculum design, and student performance in sport sales education within undergraduate sport management programs. Using archival data from the 2024–2025 National Collegiate Sports Sales Championship (NCSSC), the study compared outcomes among 25 institutions, including COSMA- and non-accredited programs. Quantitative analysis found no significant relationship between accreditation status and Top-10 finishes in either the Ticket Sales or Corporate Partnerships divisions (p > .05). Qualitative findings indicated that student performance was more closely associated with experiential learning depth, faculty expertise, and the integration of customer relationship management and analytics tools. Grounded in Experiential Learning Theory, Competency-Based Education, Human Capital Theory, and Communities of Practice, the study concludes that accreditation provides useful structure but does not independently predict competitive success. Program-level factors such as applied pedagogy, simulation-based learning, and industry partnerships appear to be stronger indicators of professional readiness and employability in sport sales.

KEYWORDS: Experiential Learning Theory, Competency-Based Education, Human Capital Theory, Communities of Practice

INTRODUCTION 

The goal of supporting positive outcomes for younger people (i.e., generativity; Erikson, 1950) is one that is both widely and cross-culturally relevant, yet despite this, the understanding for how to best support young people and the strategies employed to do so are still in flux. Only recently have developmental psychology and social research begun to place an emphasis on fostering positive outcomes for youth, as opposed to the prevention of negative outcomes and problematic behaviors (Larson, 2000). Within the areas of social and developmental research, this emphasis has led to the creation of diverse approaches to and philosophies of developmental youth programming (Lerner et al., 2011), which often provide opportunities for life skill development (i.e., explicit positive youth development). That said, the translation of such knowledge to spaces where youth development is view as a secondary priority, such as sport, tends to be challenging (Jones et al., 2011).  The primary aim of the present pilot study was to test a grounded theory of implicit positive youth development through sport by examining the impact of peer, coach, and parental relationships on youth sport experiences in a small, single-organization sample. In doing so, the present study offers a novel examination of the collective social climate (i.e., PYD climate) and its relationship to athlete developmental outcomes. We hypothesized the following:

  • Athletes’ perceptions of positive outcomes obtained through sport participation (e.g., social skills, goal setting skills) will be predicted by positive changes to the ratings of the coach-athlete relationship, peer cohesion, and parental involvement across a sport season.

At two time points (e.g., beginning of the season, end of the season), athletes’ ratings of their relationships with their coach, peer cohesion, and parental involvement were collected.  Subsequently, athletes’ perceptions of skill development across four areas (e.g., personal and social skills, cognitive skills, goal setting, initiative) were regressed on changes to the relationship variables. Both the coach-athlete relationship and parental involvement were shown to significantly predict social skill development, not only offering partial support for a theory of implicit PYD through sport and underscoring the critical developmental role of relationship building in sport but also pointing to the need for stakeholders to prioritize a high-quality social climate in the sport context to better support youth development.

LITERATURE REVIEW

Historically, adolescence and adolescent development has been regarded as a period during which youth are at risk and laden with problematic behaviors (Benson et al., 2006), therefore implying that the role of adults was to manage and prevent the problems that arise from adolescent development, also known as a deficit-focused approach to youth development (Clonan et al., 2004; Lerner, 2005). However, preventing such problems through a focus on treatment or intervention often failed to yield positive results (Catalano et al., 2008). Appearing concurrently with positive psychology’s focus on human strengths and flourishing, positive youth development theory offered that youth are “resources to be developed,” presenting a path toward positive youth outcomes through youth enrichment and the promotion of adolescent strengths (Lerner, Almerigi, et al., 2005). Positive youth development is a broad term, but generally refers to “processes, approaches, and instances” (Lerner et al., 2011) which seek to optimally prepare young people for adulthood, with the targeted outcomes being well-being and the fulfillment of their potential (Catalano et al., 2008). Contexts which aim to support positive youth development vary widely, to include agricultural programming (Lerner, Lerner, et al., 2005), volunteer and service programming (McBride et al., 2011), tutoring (Worker et al., 2019), aquatics (Storm et al., 2017), adventure-based programming (Sibthorp & Morgan, 2011), and sport (Bruner et al., 2021).

Youth sports are generally touted as tools for healthy and positive development, yet research aimed at validating this claim or understanding the processes by which it occurs is ambiguous (Holt et al., 2017). PYD theory was developed outside of the sport context (Lerner, Lerner, et al., 2005) and researchers have struggled to apply PYD models and measures to sporting contexts (Jones et al., 2011). One reason for this may be that PYD researchers have failed to acknowledge keyfeatures of the sport environment (Holt et al., 2017). In a systematic review of qualitative data, Holt and colleagues (2017) proposed that PYD through sport occurs via two distinct pathways. In the first, programs offer explicit education to youth sport participants aimed at life skill development. In the second pathway, PYD occurs implicitly via positive relationships with coaches, peers, and parents (i.e., the creation of a ‘PYD climate’). Holt and colleagues concluded that further research is needed to not only investigate the validity of this framework but also understand additional nuances for when and how PYD may occur through explicit and implicit factors. The need for further research was bolstered by a systematic review of sport-based PYD programming, conducted by Whitley and colleagues (2019), who concluded the benefit of explicit PYD programming in sport is not clear enough to support the implementation of a standardized intervention. Therefore, while the field’s understanding of how to best implement explicit PYD programming through sport is still evolving, there also exists a need to test the proposed model of implicit PYD through positive relationships within sport. While the specific role positive relationships play in supporting PYD within sport is unclear, it is generally accepted that these relationships are all valuable, if not necessary, for positive athlete outcomes (Burns et al., 2019).

Coach-Athlete Relationship

Arguably the primary relationship in the sporting context (Jowett, 2017), the dyadic relationship between coach and athlete has been shown to be instrumental to numerous athlete outcomes. In a systematic review of the coach-athlete relationship literature, Nikolina and Đorić (2023) reported that a positive coach-athlete relationship was not only predictive of increased motivation, satisfaction, and performance, but also protective from athlete stress, burnout, and negative affect. Davis and Jowett (2014) have reported that the quality of the coach-athlete relationship is directly related to athlete positive and negative affect. Furthermore, in a systematic review of the literature, McShan and Moore (2023) found that a positive coach-athlete relationship, as reported by coaches, was associated with coach’s beliefs of fostering an environment supportive of athlete life skill development. In Holt and colleague’s (2017) grounded theory of implicit PYD, the authors posit that strong, positive relationships between athletes and coaches can create a developmentally supportive social environment.

Peer Cohesion

Paralleling the coach-athlete relationship research, research on the role of peer relationships in the sport environment have shown these relationships to be highly influential on athlete experiences and outcomes (Smith & Ullrich-French, 2020).  Peer support has been shown to be related to elite sport participation, athlete motivation, and reduced withdrawal from sport (Sheridan et al., 2014). Additionally, researchers have shown that peer cohesion is not only associated with performance (Carron et al., 2002; Filho et al., 2014), but also athlete need satisfaction and learning (Erikstad et al., 2018). Furthermore, Smith and Ulrich-French (2020) have posited that peer relationships in the sport context are likely to be influential to individual athlete development, to include character, moral, social, and life skill development. In proposing strong peer relationships as influential of an implicit PYD climate, Holt and colleagues (2017) highlighted how strong peer relationships in the sport context often result in feelings of belongingness and support, which may provide developmental benefit.

Parental Involvement

While not always directly involved in the training environment, researchers have shown that parents are highly influential to youth athletes’ experiences and outcomes in sport. Youth who perceive their parents as satisfied with their performance and who experience low parental pressure are more likely to report sport enjoyment and positive affect (Dorsch et al., 2021). Additionally, parental involvement has also been associated with youth sport enjoyment, perceptions of competence, and self-esteem (Dorsch et al., 2021). Parental involvement in sport has also been found to be associated with youth athlete need satisfaction (Felber Charbonneau & Camiré, 2020). Furthermore, parental involvement in sport has also been connected to athletes’ development, to include socialization and value adoption (Danioni et al., 2017). In their grounded theory model, Holt and colleagues (2017) highlighted the reinforcing role that parental involvement plays to creating a PYD climate; while coaches may be responsible for delivering lessons and values to athletes in the sport context, the authors noted that it is important that parents support, not contradict, these messages.

Study Aims

In their grounded theory model, Holt and colleagues (2017) posited that these three relationships (i.e., coaches, peers, parents) collectively create a social climate supportive of implicit positive youth development. Therefore, the primary aim of the present study was to examine the impact of peer, coach, and parental relationships on youth sport experiences and youth athletes’ perceptions of developmental skills gained, thereby piloting a test of Holt and colleagues’ (2017) grounded theory model. Should these relationships be predictive of positive youth development, it could be expected that athletes who experience positive changes to these relationships (e.g., increased peer cohesion, increased parental involvement) across a sport season should also receive increased benefit from their participation compared to athletes whose relationships did not improve. As such, we hypothesized that athletes’ perceptions of positive outcomes obtained through sport participation (e.g., social skills, goal setting skills) would be predicted by positive changes to the ratings of their peer relationships, coach-athlete relationships, and parental involvement across a sport season.

METHODS 

Participants

Participants included 67 youth athletes from a competitive soccer club in the northwest region of the United States. In total, 41 athletes (Mage = 11.85) completed data collection at both time points. Participants represented 13 teams from four separate age categories. Additionally, 65.9% of the athletes identified as white and 61.0% of the athletes identified as boys.

Measures

Coach-Athlete Relationship Questionnaire (CART-Q)

To measure athlete perceptions of their relationship with their coach, the Coach-Athlete Relationship Questionnaire (CART-Q; Jowett & Ntoumanis, 2004) was utilized. The 11-item scale measured the nature of the athlete’s relationship with their coach (a = 0.97). Using a seven-point Likert scale, athletes rated their agreement with statements such as, “I trust my coach.”

Youth Sport Environment Questionnaire (YSEQ)

Athletes’ perceptions of their relationship with teammates were measured utilizing the Youth Sport Environment Questionnaire (YSEQ; Eys et al., 2009). The scale, which has been shown to be both valid and reliable, measured group cohesion and peer relationship quality. The YSEQ contains 16 statements, such as, “I am happy with my team’s level of desire to win” (a = 0.93). Athletes rated their agreement with these statements utilizing a seven-point Likert scale.

Parental Involvement in Sport Questionnaire (PISQ)

The Parental Involvement in Sport Questionnaire (PISQ; Lee & MacLean, 1997) is a valid and reliable 19-item scale (a = 0.87), which captures athletes’ perceptions of parental involvement across three subscales: directive behavior, praise and understanding, and active involvement. Utilizing a five-point Likert scale, athletes rated their level of agreement with statements such as, “Do your parents push you to practice harder?”

Youth Experience Survey for Sport (YES-S)

Employed only at the second time point, the short form Youth Experience Survey for Sport (YES-S; MacDonald et al., 2012; Sullivan et al., 2015) is 16-item scale that measured the perceptions of athletes’ experiences participating in sport across the previous season, and was utilized in the present study to operationalize PYD. The scale measures whether athletes perceived any benefit to their participation across four subscales: personal and social skills (a = 0.78), cognitive skills (a = 0.78), goal setting (a = 0.81), and initiative (a = 0.71). Athletes rated their agreement with statements such as, “I learned to push myself” on a five-point Likert scale.

Procedure

Ahead of the start of the summer season, the first author attended the club’s tryouts and parent meetings to share information about the study and recruit participants. During this time, parental consent was obtained through the completion of a written consent form and household demographic survey. The first survey was completed electronically one month into the summer season.  Subsequently, 14 weeks later, the research team returned to conduct the second survey during the final week of the fall season. At both time points, the surveys collected demographic information, athlete perceptions of relationships with their coach, peer cohesion, and parental involvement. At the second time point, the survey collected measurements of athletes’ perceptions of their experiences playing sport across the previous season, particularly focused on skills gained.

The dataset contained 0.3% missingness, and results of an MCAR test were not significant (X2(1386) = 0.00, p = 1.00), suggesting data was missing at random. For cases with missingness, scales were prorated based on completed items. Descriptive statistics were calculated for each scale and notable demographic differences are reported in Table 1. For each of the relationship variables (i.e., CART-Q, PISQ, YSEQ), a difference score was calculated (MT2 – MT1) to measure changes in these relationships across the season. While the utilization of difference scores has been criticized for its negative, summative impact on reliability (Edwards, 1994), researchers have noted that difference scores can be an appropriate choice in research, particularly for nonrandomized, theory-driven analyses (Castro-Schilo & Grimm, 2018). Assumptions testing revealed issues regarding multicollinearity as there was a high correlation between coach-athlete relationship and the peer cohesion change scores (r = 0.801), which resulted in unstable beta coefficients. This instability indicated that the presence of the peer cohesion variable in the model was distorting the estimation of other predictors, undermining the reliability and interpretability of the model. As such, the peer cohesion variable was removed from primary analyses. Following this, we regressed the four subscales of the YES-S (i.e., personal and social skills, cognitive skills, goal setting skills, initiative) on changes in relationship quality across the season, while controlling for age, race, and gender.

Table 1

Sample Characteristics and Descriptive Statistics

   CART-QYSEQPISQYES-S Social SkillsYES-S Cog. SkillsYES-S Goal SettingYES-S Initiative
Variablen%T1 – M(SD)T2 – M(SD)T1 – M(SD)T2 – M(SD)T1 – M(SD)T2 – M(SD)T2 – M(SD)T2 – M(SD)T2 – M(SD)T2 – M(SD)
Age            
1037.35.61(1.24)*5.97(1.47)*4.25(2.01)*5.08(1.98)*2.39(0.18)2.91(0.45)3.58(0.52)3.67(0.58)4.25(0.58)4.58(0.52)
11922.05.46(1.73)6.36(0.39)4.74(1.52)5.53(0.83)3.02(0.60)3.13(0.52)4.00(0.60)3.69(1.05)4.00(0.85)4.50(0.45)
122048.86.10(0.40)5.96(0.85)5.10(0.75)5.30(0.91)*2.92(0.60)3.25(0.74)*4.17(0.75)3.53(1.16)3.93(0.90)4.25(0.59)
13922.05.71(1.04)*5.15(1.26)*4.69(1.40)4.89(1.18)3.16(0.69)3.30(0.58)4.03(0.57)3.56(0.69)4.25(0.57)4.43(0.66)
Gender            
Boy2561.06.03(0.61)6.17(0.69)4.91(1.03)*5.26(0.89)*2.92(0.62)*3.24(0.66)*4.12(0.66)3.72(0.85)4.11(0.71)4.43(0.41)
Girl1639.05.56(1.43)5.41(0.99)4.81(1.42)5.22(1.25)3.01(0.62)3.17(0.62)3.96(0.89)3.35(1.19)3.90(0.94)4.27(0.76)
Race            
White2765.95.77(1.13)5.97(0.83)4.75(1.21)*5.24(1.03)*2.95(0.61)3.14(0.57)4.07(0.69)3.52(1.04)3.99(0.85)4.43(0.54)
Black12.4          
Asian49.85.50(1.38)5.41(1.85)4.77(1.85)*5.30(1.64)*2.74(0.90)3.29(0.90)4.00(0.35)3.94(0.43)3.94(0.43)3.94(0.66)
Hispanic49.86.27(0.45)5.86(1.12)5.50(0.89)5.55(0.74)2.99(0.57)3.41(0.83)4.50(0.41)4.25(0.54)4.69(0.47)4.63(0.32)
Other512.26.13(0.31)5.65(1.20)5.05(0.83)4.99(1.04)2.99(0.45)3.31(0.52)3.80(0.89)3.15(1.29)3.80(0.94)4.15(0.74)
Total41100.05.84(1.02)5.87(0.99)4.87(1.18)*5.24(1.03)*2.96(0.62)*3.21(0.64)*4.06(0.67)3.58(1.00)4.03(0.80)4.37(0.57)

Notes. n = 41; CART-Q = Coach-Athlete Relationship; PISQ = Parental Involvement; YSEQ = Ratings of Peer Cohesion; YES-S = Perceptions of Developmental Experiences, *Difference is significant between time points; Difference is significant between groups.

RESULTS

The model examining personal and social skills was significant and explained 45.4% of variance in the outcome (R2 = 0.454, F(5,34) = 5.664, p < 0.001).

Regression Results for Perceptions of Social Skills Gained by Athletes

    95% CI 
VariablebbSELLULp
Intercept 0.7741.268-1.8023.3500.546
Gender-0.129-0.1750.184-0.5500.1990.348
Age0.3690.2910.1100.0670.5150.012
Race-0.024-0.0080.042-0.0940.0780.858
DCART-Q0.4820.2500.0740.0990.4000.002
DPISQ0.3260.3820.1600.5800.7070.022

Notes. n = 41; R2= 0.454, F(5,34) = 5.664, p < 0.001; DCART-Q = Change in Coach-Athlete Relationship; DPISQ = Change in Parental Involvement.

**When ran independently due to the existing multicollinearity, change to peer cohesion was also a significant predictor of personal and social skills (R2 = 0.317, F(4,35) = 4.063, p = 0.008).

Within this model, both changes to the coach-athlete relationships (b= 0.482, p = 0.002) and changes to parental involvement (b= 0.326, p = 0.022) across the season were significant predictors of personal and social skills. Additionally, the covariate age was also a significant predictor of personal and social skills (b = 0.369, p = 0.012). The model examining cognitive skills explained 25.1% of the variance, however was only marginally significant (R2 = 0.251, F(5,34) = 2.275, p = 0.069). Within this model the change in coach-athlete relationship was a statistically significant predictor (b= 0.403, p = 0.022), whereas changes to parental involvement was not (b= 0.158, p = 0.330).

Table 3

Regression Results for Perceptions of Cognitive Skills Gained by Athletes

    95% CI 
VariablebbSELLULp
Intercept 2.0482.221-2.4656.5610.363
Gender-0.155-0.3150.323-0.9720.3420.337
Age0.1430.1690.193-0.2240.5610.389
Race-0.066-0.0320.074-0.1820.1190.670
DCART-Q0.4030.3120.1300.0480.5760.022
DPISQ0.1580.2770.280-0.2920.8450.330

Notes. n = 41; R2= 0.251, F(5,34) = 2.275, p = 0.069; DCART-Q = Change in Coach-Athlete Relationship; DPISQ = Change in Parental Involvement.

** When ran independently due to the existing multicollinearity, change to peer cohesion was not a significant predictor of cognitive skills.

The models predicting goal setting skills (R2 = 0.183, F(5,34) = 1.528, p = 0.207) and initiative (R2 = 0.185, F(5,34) = 1.542, p = 0.203) were not statistically significant.

DISCUSSION 

The present study provides partial support to Holt and colleague’s (2017) proposition that there is an implicit pathway of PYD in sport that takes place through positive relationships. In particular, changes to the coach-athlete relationship significantly predicted youth athletes’ perceptions of social skills and cognitive skills gained; and changes to perceptions of parental involvement also predicted social skills gained. Additionally, when analyzed separately due to issues of multicollinearity, changes to peer cohesion also significantly predicted social skill perceptions. As such, data in the current study reinforce the importance of relationships within the sport environment, and extend previous research by highlighting their value to the specific area of PYD through sport.

While research has shown the coach-athlete relationship to be associated with motivation (Adie & Jowett, 2010), collective-efficacy (Hampson & Jowett, 2014), and team cohesion (Turman, 2003), its role in the social and cognitive development of athletes is less understood. That said, research has shown that coaches seem to intuitively understand the developmental value of a positive coach-athlete relationship as coaches have reported a positive relationship with their athletes led to social and emotional development and resilience (White & Bennie, 2015). Furthermore, Davis and colleagues (2019) proposed a bidirectional relationship between communication skills and the coach-athlete relationship, where communication skills not only helped to improve the relationship, but also improved as a product of a high-quality coach-athlete relationship. When examining the more expansive literature on the impact of a high-quality relationships, researchers have documents that teacher-student relationships can promote cognitive development (Davis, 2003) and social adjustment (Dong et al., 2021) through positive and trusting learning environments. Data in the current study suggest coaches hold a responsibility to ensure the development and sustainment of positive relationships in the sport environment to support similarly positive developmental outcomes for youth athletes. This is particularly important as social skills have been shown to be associated with academic performance (Sung & Chang, 2010), increased mental health (Greenberg et al., 2003), wellbeing (Sancassiani et al., 2015), and self-esteem (Riggio et al., 1990).

The present study also highlights the important yet specific role that parents play in positive youth development through sport. Parental styles have been shown to be associated with social skill development; youth with democratic and permissive parents have been shown to score higher on social skills measures than those with neglectful or authoritative parents (Salavera et al., 2022). As such, it could be hypothesized that parents with more developmentally supportive parenting styles are more likely to be involved in their child’s sport and supportive of their child’s social skills. That said, data in the current study suggests the need to delineate the roles of parents and coaches, as these relationships may provide different benefits for youth. For example, Knight and colleagues (2011) reported that athletes consistently prefer parents to fill a supportive and encouraging role, as opposed to a coaching role. This is supported by data in the current study in that while change to parental involvement predicted athletes’ perceptions of social skill development, it did not predict their cognitive skill perceptions.

Finally, it is important to note that girls rated their relationship with their coach significantly lower than their peers who identified as boys; and older athletes were also significantly less likely to rate their coach-relationships higher than younger athletes. As such, should there exist any developmental benefit to high-quality, coaching relationships, the present findings would suggest that girls and older youth athletes are less likely to receive those benefits. Given that a positive coach-athlete relationship can be protective from poor mental health outcomes for girl athletes specifically (Massey et al., 2024), it is important that positive coach-athlete relationships are prioritized for female athletes, particularly adolescent female athletes. Furthermore, it is generally accepted that as athletes get older, the sporting environment shifts from a focus on fun to a focus on competition. Be that as it may, research has shown that the true shift lies within how athletes are treated; Kipp and Bolter (2020) found that while both older and younger athletes equally perceived their sporting environments to be focused on effort and learning, older athletes were more likely to report being punished or disciplined for mistakes. It is possible that such climates explain the decreasing trend of the coach-athlete relationship observed in the present study. Speaking strictly to the proposed developmental role of the coach-athlete relationship within sport, the present findings would offer that sports become less beneficial and developmentally supportive over time.

Despite the present study’s value to the literature base on PYD through sport, its small, homogenous sample limits its generalizability. In addition to being predominantly white, the sample derived from a singular, pay-to-play soccer organization within an affluent community. Additionally, the present sample predominantly identified as boys, which may parallel youth sport participation trends, but limits the generalizability of the findings to non-boy athlete populations. The age rage of the sample was also limited, clustered into the soccer organizations U11 and U13 age groupings, and as such, the findings may be in part reflective of the natural development occurring in this age range.

Furthermore, most athletes in the present study were satisfied with their relationship with their coach and peers, and the mean parental involvement score was slightly above the midpoint of the scale. Depending on sport or community context, it is possible that more athletes would report more dissatisfaction with these relationships or less parental involvement, thereby affecting the nature of the findings. With respect to age and gender differences, it is possible that these differences could be explained by confounding variables, such as coach gender, competition level, or position, which could not be differentiated in the present study due to the small sample size. Lastly, while multicollinearity necessitated the removal of the peer cohesion variable from the analyses, it should be acknowledged that doing so also limits the completeness of the model by excluding a theoretically important dimension of the sport environment, and one which should continue to be examined in this line of research.  As such, future studies should not only continue to examine the nuanced roles of parents and coaches in sport-based PYD, but also peer relationships, and doing so in larger and more diverse samples.

CONCLUSION 

The social context of the sport environment, which includes coaches, parents, and peers, plays a significant role in shaping athletes’ perceived development through sport. In the present study, athletes’ perceived social skill development was significantly predicted by positive changes to the coach-athlete relationship and parental involvement. The quality of the coach-athlete relationship also emerged as a meaningful predictor of athletes’ perceived cognitive development, highlighting the broader developmental impact of adult figures in the sport context. Furthermore, while peer cohesion was omitted in analyses due to multicollinearity, its interconnectedness with the coach-athlete relationship should be acknowledged, and researchers should continue to utilize it as a variable of interest as theory would dictate. Taken together, these findings underscore the importance of considering the full network of sport-based relationships when seeking to support athletes’ development through sport participation.

APPLICATIONS IN SPORT

In addition to providing support for Holt and colleagues’ (2017) theory of implicit PYD through sport, the present study highlights the interconnected nature of youth sport’s social context. We offer the following recommendations to stakeholders seeking to utilize these findings to develop their youth sport organization’s PYD climate:

  • Provide coaches with education and training that supports their development of communication and relationship-building skills (see Barnett et al., 1992; Jowett & Cockerill, 2003).
  • Provide education and clear expectations for parents’ involvement in the organization, as well as opportunities for involvement (see Knight et al., 2011).

Prioritize relationship building and psychological safety at the outset of the season, to include team-building activities and the development of team norms, rituals, and goals (see Carron et al., 1997; Senécal et al., 2008).

REFERENCES 

1. Adie, J. W., & Jowett, S. (2010). Meta‐perceptions of the coach–athlete relationship, achievement goals, and intrinsic motivation among sport participants. Journal of Applied Social Psychology40(11), 2750-2773. https://doi.org/10.1111/j.1559-1816.2010.00679.x

2. Barnett, N. P., Smoll, F. L., & Smith, R. E. (1992). Effects of enhancing coach-athlete relationships on youth sport attrition. The Sport Psychologist, 6(2), 111-127. https://doi.org/10.1123/tsp.6.2.111

3. Benson, P. L., Scales, P. C., Hamilton, S. F., & Sesma Jr., A. (2006). Positive youth development so far: Core hypotheses and their implications for policy and practice. Search Institute Insights & Evidence 3(1), 1-13.

4. Bruner, M. W., McLaren, C. D., Sutcliffe, J. T., Gardner, L. A., Lubans, D. R., Smith, J. J., & Vella, S. A. (2021). The effect of sport-based interventions on positive youth development: A systematic review and meta-analysis. International Review of Sport and Exercise Psychology, 16(1), 368-395. https://doi.org/10.1080/1750984X.2021.1875496

5. Burns, L., Weissensteiner, J. R., & Cohen, M. (2019). Supportive interpersonal relationships: a key component to high-performance sport. British Journal of Sports Medicine53(22), 1386-1389. https://doi.org/10.1136/bjsports-2018-100312

6. Carron, A. V., Colman, M. M., Wheeler, J., & Stevens, D. (2002). Cohesion and performance in sport: A meta analysis. Journal of Sport and Exercise Psychology, 24(2), 168–188. https://doi.org/10.1123/jsep.24.2.168

7. Carron, A. V., Spink, K. S., & Prapavessis, H. (1997). Team building and cohesiveness in the sport and exercise setting: Use of indirect interventions. Journal of Applied Sport Psychology, 9(1), 61–72. https://doi.org/10.1080/10413209708415384

8. Castro-Schilo, L., & Grimm, K. J. (2018). Using residualized change versus difference scores for longitudinal research. Journal of Social and Personal Relationships, 35(1), 32-58.

9. Catalano, R. F., Toumbourou, J. W., & Hawkins, J. D. (2008). Positive youth development in the United States: History, efficacy, and links to moral and character education. In L. Nucci & T. Krettenauer (Eds.) Handbook of moral and character education. Routledge. https://doi.org/10.4324/9780203114896

10. Christiansen, E. D., & von Eye, A. (2005). Positive youth development, participation in community youth development programs, and community contributions of fifth-grade adolescents: Findings from the first wave of the 4-H study of positive youth development. The Journal of Early Adolescence25(1), 17-71. https://doi.org/10.1177/0272431604272461

10. Clonan, S. M., Chafouleas, S. M., McDougal, J. L., & Riley-Tillman, T. C. (2004). Positive psychology goes to school: Are we there yet? Psychology in the Schools, 41(1), 101–110. https://doi.org/10.1002/pits.10142

11. Danioni, F., Barni, D., & Rosnati, R. (2017). Transmitting sport values: The importance of parental involvement in children’s sport activity. Europe’s Journal of Psychology, 13(1), 75–92. https://doi.org/10.5964/ejop.v13i1.1265 

12. Davis, H. A. (2003). Conceptualizing the role and influence of student-teacher relationships on children’s social and cognitive development. Educational Psychologist38(4), 207-234. https://doi.org/10.1207/S15326985EP3804_2

13. Davis, L., & Jowett, S. (2014). Coach–athlete attachment and the quality of the coach–athlete relationship: Implications for athlete’s well-being. Journal of Sports Sciences, 32(15), 1454–1464. https://doi.org/10.1080/02640414.2014.898183

14. Davis, L., Jowett, S., & Tafvelin, S. (2019). Communication strategies: The fuel for quality coach-athlete relationships and athlete satisfaction. Frontiers in Psychology10, 2156. https://doi.org/10.3389/fpsyg.2019.02156

15. Dong, Y., Wang, H., Luan, F., Li, Z., & Cheng, L. (2021). How children feel matters: Teacher–student relationship as an indirect role between interpersonal trust and social adjustment. Frontiers in Psychology11, 581235. https://doi.org/10.3389/fpsyg.2020.581235

16. Dorsch, T. E., Wright, E., Eckardt, V. C., Elliott, S., Thrower, S. N., & Knight, C. J. (2021). A history of parent involvement in organized youth sport: A scoping review. Sport, Exercise, and Performance Psychology10(4), 536. https://doi.org/10.1037/spy0000266

17. Edwards, J. R. (1994). Regression analysis as an alternative to difference scores. Journal of Management, 20(3), 683-689.

18. Erikson, E. H. (1950). Childhood and society. W. W. Norton & Co.

19. Erikstad, M. K., Martin, L. J., Haugen, T., & Høigaard, R. (2018). Group cohesion, needs satisfaction, and self-regulated learning: A one-year prospective study of elite youth soccer players’ perceptions of their club team. Psychology of Sport and Exercise, 39, 171–178. https://doi.org/10.1016/j.psychsport.2018.08.013

20. Eys, M., Loughead, T., Bray, S. R., & Carron, A. V. (2009). Development of a cohesion questionnaire for youth: The Youth Sport Environment Questionnaire. Journal of Sport and Exercise Psychology31(3), 390-408. https://doi.org/10.1123/jsep.31.3.390

21. Felber Charbonneau, E., & Camiré, M. (2020). Parental involvement in sport and the satisfaction of basic psychological needs: Perspectives from parent–child dyads. International Journal of Sport and Exercise Psychology, 18(5), 655–671. https://doi.org/10.1080/1612197X.2019.1570533

22. Filho, E., Dobersek, U., Gershgoren, L., Becker, B., & Tenenbaum, G. (2014). The cohesion–performance relationship in sport: A 10-year retrospective meta-analysis. Sport Sciences for Health, 10(3), 165–177. https://doi.org/10.1007/s11332-014-0188-7

23. Greenberg, M. T., Weissberg, R. P., O’Brien, M. U., Zins, J. E., Fredericks, L., Resnik, H., & Elias, M. J. (2003). Enhancing school-based prevention and youth development through coordinated social, emotional, and academic learning. American Psychologist58(6-7), 466. https://doi.org/10.1037/0003-066X.58.6-7.466

24. Hampson, R., & Jowett, S. (2014). Effects of coach leadership and coach–athlete relationship on collective efficacy. Scandinavian Journal of Medicine & Science in Sports24(2), 454-460. https://doi.org/10.1111/j.1600-0838.2012.01527.x

25. Holt, N. L., Neely, K. C., Slater, L. G., Camiré, M., Côté, J., Fraser-Thomas, J., MacDonald, D., Strachan, L., & Tamminen, K. A. (2017). A grounded theory of positive youth development through sport based on results from a qualitative meta-study. International Review of Sport and Exercise Psychology10(1), 1-49. https://doi.org/10.1080/1750984X.2016.1180704

26. Jones, M. I., Dunn, J. G., Holt, N. L., Sullivan, P. J., & Bloom, G. A. (2011). Exploring the ‘5Cs’ of positive youth development in sport. Journal of Sport Behavior34(3). https://psycnet.apa.org/record/2011-17095-003

27. Jowett, S. (2017). Coaching effectiveness: The coach–athlete relationship at its heart. Current Opinion in Psychology, 16, 154–158. https://doi.org/10.1016/j.copsyc.2017.05.006

28. Jowett, S., & Cockerill, I. M. (2003). Olympic medalists’ perspective of the athlete–coach relationship. Psychology of Sport and Exercise, 4(4), 313–331. https://doi.org/10.1016/S1469-0292(02)00011-0

29. Jowett, S., & Ntoumanis, N. (2004). The Coach–Athlete Relationship Questionnaire (CART‐Q): Development and initial validation. Scandinavian Journal of Medicine & Science in Sports14(4), 245-257. https://doi.org/10.1111/j.1600-0838.2003.00338.x

30. Kipp, L. E., & Bolter, N. D. (2020). Motivational climate, psychological needs, and personal and social responsibility in youth soccer: Comparisons by age group and competitive level. Psychology of Sport and Exercise, 51. https://doi.org/10.1016/j.psychsport.2020.101756

31. Knight, C. J., Neely, K. C., & Holt, N. L. (2011). Parental behaviors in team sports: How do female athletes want parents to behave? Journal of Applied Sport Psychology23(1), 76-92. https://doi.org/10.1080/10413200.2010.525589

32. Larson, R. W. (2000). Toward a psychology of positive youth development. American Psychologist, 55(1), 170–183. https://doi.org/10.1037/0003-066X.55.1.170

33. Lee, M., & MacLean, S. (1997). Sources of parental pressure among age group swimmers. European Journal of Physical Education2(2), 167-177. https://doi.org/10.1080/1740898970020204

34. Lerner, R. M. (2005). Promoting positive youth development: Theoretical and empirical bases. Washington, DC: National Academies of Sciences.

35. Lerner, R. M., Almerigi, J. B., Theokas, C., & Lerner, J. V. (2005). Positive youth development A view of the issues. The Journal of Early Adolescence, 25(1), 10–16. https://doi.org/10.1177/0272431604273211

36. Lerner, R. M., Lerner, J. V., Almerigi, J. B., Theokas, C., Phelps, E., Gestsdottir, S., Naudeau, S., Jelicic, H., Alberts, A., Ma, L., Smith, L. M., Bobek, D. L., Richman-Raphael, D., Simpson, I., 37.

37. Lerner, R. M., Lerner, J. V., Lewin-Bizan, S., Bowers, E. P., Boyd, M. J., Mueller, M. K., Schmid, K. L., & Napolitano, C. M. (2011). Positive youth development: Processes, orograms, and problematics. Journal of Youth Development, 6(3), 38–62. https://doi.org/10.5195/JYD.2011.174

38. MacDonald, D. J., Côté, J., Eys, M., & Deakin, J. (2012). Psychometric properties of the youth experience survey with young athletes. Psychology of Sport and Exercise13(3), 332-340. https://doi.org/10.1016/j.psychsport.2011.09.001

39. Massey, W. V., Veliz, P. T., Zarrett, N., & Farello, A. (2024). Thriving through sport: The transformative impact on girls’ mental health. Women’s Sport Foundation.

40. McBride, A. M., Johnson, E., Olate, R., & O’Hara, K. (2011). Youth volunteer service as positive youth development in Latin America and the Caribbean. Children and Youth Services Review, 33(1), 34–41. https://doi.org/10.1016/j.childyouth.2010.08.009

41. Nikolina, K., & Đorić, V. (2023). Relations of coach-athlete relationship quality and athlete psychosocial functioning: A systematic review. SportLogia19(1). https://doi.org/10.7251/SGIA2319002K

42. Riggio, R. E., Throckmorton, B., & Depaola, S. (1990). Social skills and self-esteem. Personality and Individual Differences11(8), 799-804. https://doi.org/10.1016/0191-8869(90)90188-W

43. Salavera, C., Usán, P., & Quilez-Robres, A. (2022). Exploring the effect of parental styles on social skills: The mediating role of affects. International Journal of Environmental Research and Public Health19(6), 3295. https://doi.org/10.3390/ijerph19063295

44. Sancassiani, F., Pintus, E., Holte, A., Paulus, P., Moro, M. F., Cossu, G., Angermeyer, M. C., Carta, M. G., & Lindert, J. (2015). Enhancing the emotional and social skills of the youth to promote their wellbeing and positive development: A systematic review of universal school-based randomized controlled trials [Special issue]. Clinical Practice and Epidemiology in Mental Health, 11, 21-40. https://doi.org/10.2174/1745017901511010021

45. Senécal, J., Loughead, T. M., & Bloom, G. A. (2008). A season-long team-building intervention: Examining the effect of team goal setting on cohesion. Journal of Sport and Exercise Psychology, 30(2), 186-199. https://doi.org/10.1123/jsep.30.2.186

46. Sheridan, D., Coffee, P., & Lavallee, D. (2014). A systematic review of social support in youth sport. International Review of Sport and Exercise Psychology7(1), 198-228. https://doi.org/10.1080/1750984X.2014.931999

47. Sibthorp, J., & Morgan, C. (2011). Adventure‐based programming: Exemplary youth development practice. New Directions for Youth Development, (130), 105-119. https://doi.org/10.1002/yd.400

48. Smith, A. L., & Ullrich-French, S. (2020). Peers and the sport experience. In G. Tenenbaum & R. C. Eklund (Eds.) Handbook of sport psychology (pp. 410–428). John Wiley & Sons, Inc. https://doi.org/10.1002/9781119568124.ch19

49. Storm, M. K., Williams, K. N., Shetter, E. M., Kaminsky, J., Lowery, C. M., Caldas, S. V., & Winch, P. J. (2017). Sink or swim: Promoting youth development through aquatics programs in Baltimore, Maryland. Journal of Park & Recreation Administration, 35(1), 66-79. https://doi.org/10.18666/JPRA-2017-V35-I1-7295

50. Sullivan, P. J., LaForge-MacKenzie, K., & Marini, M. (2015). Confirmatory factor analysis of the Youth Experiences Survey for Sport (YES-S). Open Journal of Statistics5(05), 421. https://doi.org/10.4236/ojs.2015.55044

51. Sung, Y. Y., & Chang, M. (2010). Which social skills predict academic performance of elementary school students. Journal on Educational Psychology3(3), 23-34. https://doi.org/10.26634/jpsy.3.3.1078

52. Turman, P. D. (2003). Coaches and cohesion: The impact of coaching techniques on team cohesion in the small group sport setting. Journal of Sport Behaviour26(1), 86-104. https://psycnet.apa.org/record/2003-01497-007

53. White, R. L., & Bennie, A. (2015). Resilience in youth sport: A qualitative investigation of gymnastics coach and athlete perceptions. International Journal of Sports Science & Coaching10(2-3), 379-393. https://doi.org/10.1260/1747-9541.10.2-3.379

54. Whitley, M. A., Massey, W. V., Camiré, M., Boutet, M., & Borbee, A. (2019). Sport-based youth development interventions in the United States: A systematic review. BMC Public Health19, 1-20. https://doi.org/10.1186/s12889-019-6387-z

55. Worker, S. M., Iaccopucci, A. M., Bird, M., & Horowitz, M. (2019). Promoting positive youth development through teenagers-as-teachers programs. Journal of Adolescent Research, 34(1), 30-54. https://doi.org/10.1177/0743558418764089

Appendix A
Supplemental Materials

Table 4

Correlation Matrix of Study Variables

Variables1234567
1. Age       
2. CART-Q-0.34*      
3. PISQ0.150.23     
4. YSEQ-0.140.66**0.31*    
5. Social Skills0.140.62**0.35*0.47**   
6. Cognitive Skills-0.050.40*0.160.160.66**  
7. Goal Setting0.030.43**0.130.42**0.57**0.70** 
8. Initiative-0.100.53**0.180.47**0.51**0.40*0.70**

Notes. * Correlation is significant at the 0.05 level (two-tailed). ** Correlation is significant at the 0.01 level (two-tailed); CART-Q = Coach-Athlete Relationship; PISQ = Parental Involvement, YSEQ = Peer Relationships

Table 5

Regression Results for Perceptions of Goal Setting Skills Gained by Athletes

   95% CI for B  
VariablebSELLULbp
Intercept2.0531.862-1.7315.836 0.278
Gender-0.2280.271-0.7790.322-0.1400.405
Age0.1860.162-0.1430.5150.1960.259
Race0.0110.062-0.1150.1370.0280.863
DCART-Q0.2300.1090.0080.4510.3690.042
DPISQ0.1750.235-0.3020.6510.1240.462

Notes. R2= 0.183, p = 0.207; DCART-Q = Change in Coach-Athlete Relationship; DPISQ = Change in Parental Involvement

** When ran independently due to the existing multicollinearity, change to peer cohesion was not a significant predictor of cognitive skills.

Table 6

Regression Results for Perceptions of Initiative Gained by Athletes

   95% CI for B  
VariablebSELLULbp
Intercept4.0001.3151.3286.671-0.1203.043
Gender-0.1380.191-0.5270.2500.062-0.723
Age0.0420.114-0.1910.2740.0350.365
Race0.0100.044-0.0790.0990.3890.221
DCART-Q0.1710.0770.0150.3270.0872.224
DPISQ0.0860.166-0.2510.423-0.1200.520

Notes. R2= 0.185, p = 0.203; DCART-Q = Change in Coach-Athlete Relationship; DPISQ = Change in Parental Involvement

** When ran independently due to the existing multicollinearity, change to peer cohesion was not a significant predictor of cognitive skills.

2026-04-09T15:25:29-05:00April 9th, 2026|Contemporary Sports Issues, Leadership, Research, Sports Coaching, Sports Studies and Sports Psychology|Comments Off on Accreditation, Curriculum, and Competition: An Explanatory Case Study of Sport Sales Education in Undergraduate Sport Management Programs

The Role of Sport Relationships in Positive Youth Development

Authors: Jim P. Arnold1 and William V. Massey1

1Department of Kinesiology, College of Health, Oregon State University

 

Corresponding Author:

Jim P. Arnold

[email protected]

Jim P. Arnold https://orcid.org/0009-0004-2282-1915
William V. Massey, Ph.D. https://orcid.org/0000-0002-4002-3720
We have no known conflicts of interest to disclose.

ABSTRACT 

Purpose. Research on positive youth development (PYD) through sport remains unclear and speculative (Whitley et al., 2019). It has been suggested that sport-based PYD can occur implicitly through positive relationships (Holt et al., 2017). The present pilot study examined the impact of changes in the coach-athlete relationship, peer cohesion, and parental involvement on PYD outcomes across a sport season in a sample of youth soccer participants (N = 41, Mage = 11.85, 61% boys).

Methods. Athletes responded to surveys rating their relationships with coaches, parents, and peers at two time points, and additionally reported their perceptions of developmental skills gained across the sport season. A difference score was calculated for each relationship variable to measure change across the season. Four developmental outcomes (i.e., personal and social skills, cognitive skills, goal setting skills, initiative) were regressed on changes in relationship quality across the season, while controlling for age, race, and gender.

Results. Changes to the coach-athlete relationship (b= 0.482, p = 0.002) and parental involvement (b= 0.326, p = 0.022) were significant predictors of perceptions of social skill development (R2 = 0.454, F(5,34) = 5.664, p < 0.001), supporting a relationship-based model of PYD in sport. Significant age and gender differences in ratings of the coach-athlete relationship were also discovered.

Conclusions. The present study not only offers partial support to a Holt and colleagues’ (2017) theory of implicit PYD through sport but also highlights the need important developmental role of relationship building in in the sport context.

Applications in Sport. Organizations should prioritize positive sport relationships through education, training, and programming, as poor or absent relationships may undermine the envisioned benefits of sport. In particular, the present study highlights the need for positive parental involvement, which may require stakeholders to work with parents to define their role expectations.

KEYWORDS: youth sport, positive youth development, sport relationships, coaching, parental involvement

INTRODUCTION 

The goal of supporting positive outcomes for younger people (i.e., generativity; Erikson, 1950) is one that is both widely and cross-culturally relevant, yet despite this, the understanding for how to best support young people and the strategies employed to do so are still in flux. Only recently have developmental psychology and social research begun to place an emphasis on fostering positive outcomes for youth, as opposed to the prevention of negative outcomes and problematic behaviors (Larson, 2000). Within the areas of social and developmental research, this emphasis has led to the creation of diverse approaches to and philosophies of developmental youth programming (Lerner et al., 2011), which often provide opportunities for life skill development (i.e., explicit positive youth development). That said, the translation of such knowledge to spaces where youth development is view as a secondary priority, such as sport, tends to be challenging (Jones et al., 2011).  The primary aim of the present pilot study was to test a grounded theory of implicit positive youth development through sport by examining the impact of peer, coach, and parental relationships on youth sport experiences in a small, single-organization sample. In doing so, the present study offers a novel examination of the collective social climate (i.e., PYD climate) and its relationship to athlete developmental outcomes. We hypothesized the following:

  • Athletes’ perceptions of positive outcomes obtained through sport participation (e.g., social skills, goal setting skills) will be predicted by positive changes to the ratings of the coach-athlete relationship, peer cohesion, and parental involvement across a sport season.

At two time points (e.g., beginning of the season, end of the season), athletes’ ratings of their relationships with their coach, peer cohesion, and parental involvement were collected.  Subsequently, athletes’ perceptions of skill development across four areas (e.g., personal and social skills, cognitive skills, goal setting, initiative) were regressed on changes to the relationship variables. Both the coach-athlete relationship and parental involvement were shown to significantly predict social skill development, not only offering partial support for a theory of implicit PYD through sport and underscoring the critical developmental role of relationship building in sport but also pointing to the need for stakeholders to prioritize a high-quality social climate in the sport context to better support youth development.

LITERATURE REVIEW

Historically, adolescence and adolescent development has been regarded as a period during which youth are at risk and laden with problematic behaviors (Benson et al., 2006), therefore implying that the role of adults was to manage and prevent the problems that arise from adolescent development, also known as a deficit-focused approach to youth development (Clonan et al., 2004; Lerner, 2005). However, preventing such problems through a focus on treatment or intervention often failed to yield positive results (Catalano et al., 2008). Appearing concurrently with positive psychology’s focus on human strengths and flourishing, positive youth development theory offered that youth are “resources to be developed,” presenting a path toward positive youth outcomes through youth enrichment and the promotion of adolescent strengths (Lerner, Almerigi, et al., 2005). Positive youth development is a broad term, but generally refers to “processes, approaches, and instances” (Lerner et al., 2011) which seek to optimally prepare young people for adulthood, with the targeted outcomes being well-being and the fulfillment of their potential (Catalano et al., 2008). Contexts which aim to support positive youth development vary widely, to include agricultural programming (Lerner, Lerner, et al., 2005), volunteer and service programming (McBride et al., 2011), tutoring (Worker et al., 2019), aquatics (Storm et al., 2017), adventure-based programming (Sibthorp & Morgan, 2011), and sport (Bruner et al., 2021).

Youth sports are generally touted as tools for healthy and positive development, yet research aimed at validating this claim or understanding the processes by which it occurs is ambiguous (Holt et al., 2017). PYD theory was developed outside of the sport context (Lerner, Lerner, et al., 2005) and researchers have struggled to apply PYD models and measures to sporting contexts (Jones et al., 2011). One reason for this may be that PYD researchers have failed to acknowledge keyfeatures of the sport environment (Holt et al., 2017). In a systematic review of qualitative data, Holt and colleagues (2017) proposed that PYD through sport occurs via two distinct pathways. In the first, programs offer explicit education to youth sport participants aimed at life skill development. In the second pathway, PYD occurs implicitly via positive relationships with coaches, peers, and parents (i.e., the creation of a ‘PYD climate’). Holt and colleagues concluded that further research is needed to not only investigate the validity of this framework but also understand additional nuances for when and how PYD may occur through explicit and implicit factors. The need for further research was bolstered by a systematic review of sport-based PYD programming, conducted by Whitley and colleagues (2019), who concluded the benefit of explicit PYD programming in sport is not clear enough to support the implementation of a standardized intervention. Therefore, while the field’s understanding of how to best implement explicit PYD programming through sport is still evolving, there also exists a need to test the proposed model of implicit PYD through positive relationships within sport. While the specific role positive relationships play in supporting PYD within sport is unclear, it is generally accepted that these relationships are all valuable, if not necessary, for positive athlete outcomes (Burns et al., 2019).

Coach-Athlete Relationship

Arguably the primary relationship in the sporting context (Jowett, 2017), the dyadic relationship between coach and athlete has been shown to be instrumental to numerous athlete outcomes. In a systematic review of the coach-athlete relationship literature, Nikolina and Đorić (2023) reported that a positive coach-athlete relationship was not only predictive of increased motivation, satisfaction, and performance, but also protective from athlete stress, burnout, and negative affect. Davis and Jowett (2014) have reported that the quality of the coach-athlete relationship is directly related to athlete positive and negative affect. Furthermore, in a systematic review of the literature, McShan and Moore (2023) found that a positive coach-athlete relationship, as reported by coaches, was associated with coach’s beliefs of fostering an environment supportive of athlete life skill development. In Holt and colleague’s (2017) grounded theory of implicit PYD, the authors posit that strong, positive relationships between athletes and coaches can create a developmentally supportive social environment.

Peer Cohesion

Paralleling the coach-athlete relationship research, research on the role of peer relationships in the sport environment have shown these relationships to be highly influential on athlete experiences and outcomes (Smith & Ullrich-French, 2020).  Peer support has been shown to be related to elite sport participation, athlete motivation, and reduced withdrawal from sport (Sheridan et al., 2014). Additionally, researchers have shown that peer cohesion is not only associated with performance (Carron et al., 2002; Filho et al., 2014), but also athlete need satisfaction and learning (Erikstad et al., 2018). Furthermore, Smith and Ulrich-French (2020) have posited that peer relationships in the sport context are likely to be influential to individual athlete development, to include character, moral, social, and life skill development. In proposing strong peer relationships as influential of an implicit PYD climate, Holt and colleagues (2017) highlighted how strong peer relationships in the sport context often result in feelings of belongingness and support, which may provide developmental benefit.

Parental Involvement

While not always directly involved in the training environment, researchers have shown that parents are highly influential to youth athletes’ experiences and outcomes in sport. Youth who perceive their parents as satisfied with their performance and who experience low parental pressure are more likely to report sport enjoyment and positive affect (Dorsch et al., 2021). Additionally, parental involvement has also been associated with youth sport enjoyment, perceptions of competence, and self-esteem (Dorsch et al., 2021). Parental involvement in sport has also been found to be associated with youth athlete need satisfaction (Felber Charbonneau & Camiré, 2020). Furthermore, parental involvement in sport has also been connected to athletes’ development, to include socialization and value adoption (Danioni et al., 2017). In their grounded theory model, Holt and colleagues (2017) highlighted the reinforcing role that parental involvement plays to creating a PYD climate; while coaches may be responsible for delivering lessons and values to athletes in the sport context, the authors noted that it is important that parents support, not contradict, these messages.

Study Aims

In their grounded theory model, Holt and colleagues (2017) posited that these three relationships (i.e., coaches, peers, parents) collectively create a social climate supportive of implicit positive youth development. Therefore, the primary aim of the present study was to examine the impact of peer, coach, and parental relationships on youth sport experiences and youth athletes’ perceptions of developmental skills gained, thereby piloting a test of Holt and colleagues’ (2017) grounded theory model. Should these relationships be predictive of positive youth development, it could be expected that athletes who experience positive changes to these relationships (e.g., increased peer cohesion, increased parental involvement) across a sport season should also receive increased benefit from their participation compared to athletes whose relationships did not improve. As such, we hypothesized that athletes’ perceptions of positive outcomes obtained through sport participation (e.g., social skills, goal setting skills) would be predicted by positive changes to the ratings of their peer relationships, coach-athlete relationships, and parental involvement across a sport season.

METHODS 

Participants

Participants included 67 youth athletes from a competitive soccer club in the northwest region of the United States. In total, 41 athletes (Mage = 11.85) completed data collection at both time points. Participants represented 13 teams from four separate age categories. Additionally, 65.9% of the athletes identified as white and 61.0% of the athletes identified as boys.

Measures

Coach-Athlete Relationship Questionnaire (CART-Q)

To measure athlete perceptions of their relationship with their coach, the Coach-Athlete Relationship Questionnaire (CART-Q; Jowett & Ntoumanis, 2004) was utilized. The 11-item scale measured the nature of the athlete’s relationship with their coach (a = 0.97). Using a seven-point Likert scale, athletes rated their agreement with statements such as, “I trust my coach.”

Youth Sport Environment Questionnaire (YSEQ)

Athletes’ perceptions of their relationship with teammates were measured utilizing the Youth Sport Environment Questionnaire (YSEQ; Eys et al., 2009). The scale, which has been shown to be both valid and reliable, measured group cohesion and peer relationship quality. The YSEQ contains 16 statements, such as, “I am happy with my team’s level of desire to win” (a = 0.93). Athletes rated their agreement with these statements utilizing a seven-point Likert scale.

Parental Involvement in Sport Questionnaire (PISQ)

The Parental Involvement in Sport Questionnaire (PISQ; Lee & MacLean, 1997) is a valid and reliable 19-item scale (a = 0.87), which captures athletes’ perceptions of parental involvement across three subscales: directive behavior, praise and understanding, and active involvement. Utilizing a five-point Likert scale, athletes rated their level of agreement with statements such as, “Do your parents push you to practice harder?”

Youth Experience Survey for Sport (YES-S)

Employed only at the second time point, the short form Youth Experience Survey for Sport (YES-S; MacDonald et al., 2012; Sullivan et al., 2015) is 16-item scale that measured the perceptions of athletes’ experiences participating in sport across the previous season, and was utilized in the present study to operationalize PYD. The scale measures whether athletes perceived any benefit to their participation across four subscales: personal and social skills (a = 0.78), cognitive skills (a = 0.78), goal setting (a = 0.81), and initiative (a = 0.71). Athletes rated their agreement with statements such as, “I learned to push myself” on a five-point Likert scale.

Procedure

Ahead of the start of the summer season, the first author attended the club’s tryouts and parent meetings to share information about the study and recruit participants. During this time, parental consent was obtained through the completion of a written consent form and household demographic survey. The first survey was completed electronically one month into the summer season.  Subsequently, 14 weeks later, the research team returned to conduct the second survey during the final week of the fall season. At both time points, the surveys collected demographic information, athlete perceptions of relationships with their coach, peer cohesion, and parental involvement. At the second time point, the survey collected measurements of athletes’ perceptions of their experiences playing sport across the previous season, particularly focused on skills gained.

The dataset contained 0.3% missingness, and results of an MCAR test were not significant (X2(1386) = 0.00, p = 1.00), suggesting data was missing at random. For cases with missingness, scales were prorated based on completed items. Descriptive statistics were calculated for each scale and notable demographic differences are reported in Table 1. For each of the relationship variables (i.e., CART-Q, PISQ, YSEQ), a difference score was calculated (MT2 – MT1) to measure changes in these relationships across the season. While the utilization of difference scores has been criticized for its negative, summative impact on reliability (Edwards, 1994), researchers have noted that difference scores can be an appropriate choice in research, particularly for nonrandomized, theory-driven analyses (Castro-Schilo & Grimm, 2018). Assumptions testing revealed issues regarding multicollinearity as there was a high correlation between coach-athlete relationship and the peer cohesion change scores (r = 0.801), which resulted in unstable beta coefficients. This instability indicated that the presence of the peer cohesion variable in the model was distorting the estimation of other predictors, undermining the reliability and interpretability of the model. As such, the peer cohesion variable was removed from primary analyses. Following this, we regressed the four subscales of the YES-S (i.e., personal and social skills, cognitive skills, goal setting skills, initiative) on changes in relationship quality across the season, while controlling for age, race, and gender.

Table 1

Sample Characteristics and Descriptive Statistics

   CART-QYSEQPISQYES-S Social SkillsYES-S Cog. SkillsYES-S Goal SettingYES-S Initiative
Variablen%T1 – M(SD)T2 – M(SD)T1 – M(SD)T2 – M(SD)T1 – M(SD)T2 – M(SD)T2 – M(SD)T2 – M(SD)T2 – M(SD)T2 – M(SD)
Age            
1037.35.61(1.24)*5.97(1.47)*4.25(2.01)*5.08(1.98)*2.39(0.18)2.91(0.45)3.58(0.52)3.67(0.58)4.25(0.58)4.58(0.52)
11922.05.46(1.73)6.36(0.39)4.74(1.52)5.53(0.83)3.02(0.60)3.13(0.52)4.00(0.60)3.69(1.05)4.00(0.85)4.50(0.45)
122048.86.10(0.40)5.96(0.85)5.10(0.75)5.30(0.91)*2.92(0.60)3.25(0.74)*4.17(0.75)3.53(1.16)3.93(0.90)4.25(0.59)
13922.05.71(1.04)*5.15(1.26)*4.69(1.40)4.89(1.18)3.16(0.69)3.30(0.58)4.03(0.57)3.56(0.69)4.25(0.57)4.43(0.66)
Gender            
Boy2561.06.03(0.61)6.17(0.69)4.91(1.03)*5.26(0.89)*2.92(0.62)*3.24(0.66)*4.12(0.66)3.72(0.85)4.11(0.71)4.43(0.41)
Girl1639.05.56(1.43)5.41(0.99)4.81(1.42)5.22(1.25)3.01(0.62)3.17(0.62)3.96(0.89)3.35(1.19)3.90(0.94)4.27(0.76)
Race            
White2765.95.77(1.13)5.97(0.83)4.75(1.21)*5.24(1.03)*2.95(0.61)3.14(0.57)4.07(0.69)3.52(1.04)3.99(0.85)4.43(0.54)
Black12.4          
Asian49.85.50(1.38)5.41(1.85)4.77(1.85)*5.30(1.64)*2.74(0.90)3.29(0.90)4.00(0.35)3.94(0.43)3.94(0.43)3.94(0.66)
Hispanic49.86.27(0.45)5.86(1.12)5.50(0.89)5.55(0.74)2.99(0.57)3.41(0.83)4.50(0.41)4.25(0.54)4.69(0.47)4.63(0.32)
Other512.26.13(0.31)5.65(1.20)5.05(0.83)4.99(1.04)2.99(0.45)3.31(0.52)3.80(0.89)3.15(1.29)3.80(0.94)4.15(0.74)
Total41100.05.84(1.02)5.87(0.99)4.87(1.18)*5.24(1.03)*2.96(0.62)*3.21(0.64)*4.06(0.67)3.58(1.00)4.03(0.80)4.37(0.57)

Notes. n = 41; CART-Q = Coach-Athlete Relationship; PISQ = Parental Involvement; YSEQ = Ratings of Peer Cohesion; YES-S = Perceptions of Developmental Experiences, *Difference is significant between time points; Difference is significant between groups.

RESULTS

The model examining personal and social skills was significant and explained 45.4% of variance in the outcome (R2 = 0.454, F(5,34) = 5.664, p < 0.001).

Regression Results for Perceptions of Social Skills Gained by Athletes

    95% CI 
VariablebbSELLULp
Intercept 0.7741.268-1.8023.3500.546
Gender-0.129-0.1750.184-0.5500.1990.348
Age0.3690.2910.1100.0670.5150.012
Race-0.024-0.0080.042-0.0940.0780.858
DCART-Q0.4820.2500.0740.0990.4000.002
DPISQ0.3260.3820.1600.5800.7070.022

Notes. n = 41; R2= 0.454, F(5,34) = 5.664, p < 0.001; DCART-Q = Change in Coach-Athlete Relationship; DPISQ = Change in Parental Involvement.

**When ran independently due to the existing multicollinearity, change to peer cohesion was also a significant predictor of personal and social skills (R2 = 0.317, F(4,35) = 4.063, p = 0.008).

Within this model, both changes to the coach-athlete relationships (b= 0.482, p = 0.002) and changes to parental involvement (b= 0.326, p = 0.022) across the season were significant predictors of personal and social skills. Additionally, the covariate age was also a significant predictor of personal and social skills (b = 0.369, p = 0.012). The model examining cognitive skills explained 25.1% of the variance, however was only marginally significant (R2 = 0.251, F(5,34) = 2.275, p = 0.069). Within this model the change in coach-athlete relationship was a statistically significant predictor (b= 0.403, p = 0.022), whereas changes to parental involvement was not (b= 0.158, p = 0.330).

Table 3

Regression Results for Perceptions of Cognitive Skills Gained by Athletes

    95% CI 
VariablebbSELLULp
Intercept 2.0482.221-2.4656.5610.363
Gender-0.155-0.3150.323-0.9720.3420.337
Age0.1430.1690.193-0.2240.5610.389
Race-0.066-0.0320.074-0.1820.1190.670
DCART-Q0.4030.3120.1300.0480.5760.022
DPISQ0.1580.2770.280-0.2920.8450.330

Notes. n = 41; R2= 0.251, F(5,34) = 2.275, p = 0.069; DCART-Q = Change in Coach-Athlete Relationship; DPISQ = Change in Parental Involvement.

** When ran independently due to the existing multicollinearity, change to peer cohesion was not a significant predictor of cognitive skills.

The models predicting goal setting skills (R2 = 0.183, F(5,34) = 1.528, p = 0.207) and initiative (R2 = 0.185, F(5,34) = 1.542, p = 0.203) were not statistically significant.

DISCUSSION 

The present study provides partial support to Holt and colleague’s (2017) proposition that there is an implicit pathway of PYD in sport that takes place through positive relationships. In particular, changes to the coach-athlete relationship significantly predicted youth athletes’ perceptions of social skills and cognitive skills gained; and changes to perceptions of parental involvement also predicted social skills gained. Additionally, when analyzed separately due to issues of multicollinearity, changes to peer cohesion also significantly predicted social skill perceptions. As such, data in the current study reinforce the importance of relationships within the sport environment, and extend previous research by highlighting their value to the specific area of PYD through sport.

While research has shown the coach-athlete relationship to be associated with motivation (Adie & Jowett, 2010), collective-efficacy (Hampson & Jowett, 2014), and team cohesion (Turman, 2003), its role in the social and cognitive development of athletes is less understood. That said, research has shown that coaches seem to intuitively understand the developmental value of a positive coach-athlete relationship as coaches have reported a positive relationship with their athletes led to social and emotional development and resilience (White & Bennie, 2015). Furthermore, Davis and colleagues (2019) proposed a bidirectional relationship between communication skills and the coach-athlete relationship, where communication skills not only helped to improve the relationship, but also improved as a product of a high-quality coach-athlete relationship. When examining the more expansive literature on the impact of a high-quality relationships, researchers have documents that teacher-student relationships can promote cognitive development (Davis, 2003) and social adjustment (Dong et al., 2021) through positive and trusting learning environments. Data in the current study suggest coaches hold a responsibility to ensure the development and sustainment of positive relationships in the sport environment to support similarly positive developmental outcomes for youth athletes. This is particularly important as social skills have been shown to be associated with academic performance (Sung & Chang, 2010), increased mental health (Greenberg et al., 2003), wellbeing (Sancassiani et al., 2015), and self-esteem (Riggio et al., 1990).

The present study also highlights the important yet specific role that parents play in positive youth development through sport. Parental styles have been shown to be associated with social skill development; youth with democratic and permissive parents have been shown to score higher on social skills measures than those with neglectful or authoritative parents (Salavera et al., 2022). As such, it could be hypothesized that parents with more developmentally supportive parenting styles are more likely to be involved in their child’s sport and supportive of their child’s social skills. That said, data in the current study suggests the need to delineate the roles of parents and coaches, as these relationships may provide different benefits for youth. For example, Knight and colleagues (2011) reported that athletes consistently prefer parents to fill a supportive and encouraging role, as opposed to a coaching role. This is supported by data in the current study in that while change to parental involvement predicted athletes’ perceptions of social skill development, it did not predict their cognitive skill perceptions.

Finally, it is important to note that girls rated their relationship with their coach significantly lower than their peers who identified as boys; and older athletes were also significantly less likely to rate their coach-relationships higher than younger athletes. As such, should there exist any developmental benefit to high-quality, coaching relationships, the present findings would suggest that girls and older youth athletes are less likely to receive those benefits. Given that a positive coach-athlete relationship can be protective from poor mental health outcomes for girl athletes specifically (Massey et al., 2024), it is important that positive coach-athlete relationships are prioritized for female athletes, particularly adolescent female athletes. Furthermore, it is generally accepted that as athletes get older, the sporting environment shifts from a focus on fun to a focus on competition. Be that as it may, research has shown that the true shift lies within how athletes are treated; Kipp and Bolter (2020) found that while both older and younger athletes equally perceived their sporting environments to be focused on effort and learning, older athletes were more likely to report being punished or disciplined for mistakes. It is possible that such climates explain the decreasing trend of the coach-athlete relationship observed in the present study. Speaking strictly to the proposed developmental role of the coach-athlete relationship within sport, the present findings would offer that sports become less beneficial and developmentally supportive over time.

Despite the present study’s value to the literature base on PYD through sport, its small, homogenous sample limits its generalizability. In addition to being predominantly white, the sample derived from a singular, pay-to-play soccer organization within an affluent community. Additionally, the present sample predominantly identified as boys, which may parallel youth sport participation trends, but limits the generalizability of the findings to non-boy athlete populations. The age rage of the sample was also limited, clustered into the soccer organizations U11 and U13 age groupings, and as such, the findings may be in part reflective of the natural development occurring in this age range.

Furthermore, most athletes in the present study were satisfied with their relationship with their coach and peers, and the mean parental involvement score was slightly above the midpoint of the scale. Depending on sport or community context, it is possible that more athletes would report more dissatisfaction with these relationships or less parental involvement, thereby affecting the nature of the findings. With respect to age and gender differences, it is possible that these differences could be explained by confounding variables, such as coach gender, competition level, or position, which could not be differentiated in the present study due to the small sample size. Lastly, while multicollinearity necessitated the removal of the peer cohesion variable from the analyses, it should be acknowledged that doing so also limits the completeness of the model by excluding a theoretically important dimension of the sport environment, and one which should continue to be examined in this line of research.  As such, future studies should not only continue to examine the nuanced roles of parents and coaches in sport-based PYD, but also peer relationships, and doing so in larger and more diverse samples.

CONCLUSION 

The social context of the sport environment, which includes coaches, parents, and peers, plays a significant role in shaping athletes’ perceived development through sport. In the present study, athletes’ perceived social skill development was significantly predicted by positive changes to the coach-athlete relationship and parental involvement. The quality of the coach-athlete relationship also emerged as a meaningful predictor of athletes’ perceived cognitive development, highlighting the broader developmental impact of adult figures in the sport context. Furthermore, while peer cohesion was omitted in analyses due to multicollinearity, its interconnectedness with the coach-athlete relationship should be acknowledged, and researchers should continue to utilize it as a variable of interest as theory would dictate. Taken together, these findings underscore the importance of considering the full network of sport-based relationships when seeking to support athletes’ development through sport participation.

APPLICATIONS IN SPORT

In addition to providing support for Holt and colleagues’ (2017) theory of implicit PYD through sport, the present study highlights the interconnected nature of youth sport’s social context. We offer the following recommendations to stakeholders seeking to utilize these findings to develop their youth sport organization’s PYD climate:

  • Provide coaches with education and training that supports their development of communication and relationship-building skills (see Barnett et al., 1992; Jowett & Cockerill, 2003).
  • Provide education and clear expectations for parents’ involvement in the organization, as well as opportunities for involvement (see Knight et al., 2011).

Prioritize relationship building and psychological safety at the outset of the season, to include team-building activities and the development of team norms, rituals, and goals (see Carron et al., 1997; Senécal et al., 2008).

REFERENCES 

1. Adie, J. W., & Jowett, S. (2010). Meta‐perceptions of the coach–athlete relationship, achievement goals, and intrinsic motivation among sport participants. Journal of Applied Social Psychology40(11), 2750-2773. https://doi.org/10.1111/j.1559-1816.2010.00679.x

2. Barnett, N. P., Smoll, F. L., & Smith, R. E. (1992). Effects of enhancing coach-athlete relationships on youth sport attrition. The Sport Psychologist, 6(2), 111-127. https://doi.org/10.1123/tsp.6.2.111

3. Benson, P. L., Scales, P. C., Hamilton, S. F., & Sesma Jr., A. (2006). Positive youth development so far: Core hypotheses and their implications for policy and practice. Search Institute Insights & Evidence 3(1), 1-13.

4. Bruner, M. W., McLaren, C. D., Sutcliffe, J. T., Gardner, L. A., Lubans, D. R., Smith, J. J., & Vella, S. A. (2021). The effect of sport-based interventions on positive youth development: A systematic review and meta-analysis. International Review of Sport and Exercise Psychology, 16(1), 368-395. https://doi.org/10.1080/1750984X.2021.1875496

5. Burns, L., Weissensteiner, J. R., & Cohen, M. (2019). Supportive interpersonal relationships: a key component to high-performance sport. British Journal of Sports Medicine53(22), 1386-1389. https://doi.org/10.1136/bjsports-2018-100312

6. Carron, A. V., Colman, M. M., Wheeler, J., & Stevens, D. (2002). Cohesion and performance in sport: A meta analysis. Journal of Sport and Exercise Psychology, 24(2), 168–188. https://doi.org/10.1123/jsep.24.2.168

7. Carron, A. V., Spink, K. S., & Prapavessis, H. (1997). Team building and cohesiveness in the sport and exercise setting: Use of indirect interventions. Journal of Applied Sport Psychology, 9(1), 61–72. https://doi.org/10.1080/10413209708415384

8. Castro-Schilo, L., & Grimm, K. J. (2018). Using residualized change versus difference scores for longitudinal research. Journal of Social and Personal Relationships, 35(1), 32-58.

9. Catalano, R. F., Toumbourou, J. W., & Hawkins, J. D. (2008). Positive youth development in the United States: History, efficacy, and links to moral and character education. In L. Nucci & T. Krettenauer (Eds.) Handbook of moral and character education. Routledge. https://doi.org/10.4324/9780203114896

10. Christiansen, E. D., & von Eye, A. (2005). Positive youth development, participation in community youth development programs, and community contributions of fifth-grade adolescents: Findings from the first wave of the 4-H study of positive youth development. The Journal of Early Adolescence25(1), 17-71. https://doi.org/10.1177/0272431604272461

10. Clonan, S. M., Chafouleas, S. M., McDougal, J. L., & Riley-Tillman, T. C. (2004). Positive psychology goes to school: Are we there yet? Psychology in the Schools, 41(1), 101–110. https://doi.org/10.1002/pits.10142

11. Danioni, F., Barni, D., & Rosnati, R. (2017). Transmitting sport values: The importance of parental involvement in children’s sport activity. Europe’s Journal of Psychology, 13(1), 75–92. https://doi.org/10.5964/ejop.v13i1.1265 

12. Davis, H. A. (2003). Conceptualizing the role and influence of student-teacher relationships on children’s social and cognitive development. Educational Psychologist38(4), 207-234. https://doi.org/10.1207/S15326985EP3804_2

13. Davis, L., & Jowett, S. (2014). Coach–athlete attachment and the quality of the coach–athlete relationship: Implications for athlete’s well-being. Journal of Sports Sciences, 32(15), 1454–1464. https://doi.org/10.1080/02640414.2014.898183

14. Davis, L., Jowett, S., & Tafvelin, S. (2019). Communication strategies: The fuel for quality coach-athlete relationships and athlete satisfaction. Frontiers in Psychology10, 2156. https://doi.org/10.3389/fpsyg.2019.02156

15. Dong, Y., Wang, H., Luan, F., Li, Z., & Cheng, L. (2021). How children feel matters: Teacher–student relationship as an indirect role between interpersonal trust and social adjustment. Frontiers in Psychology11, 581235. https://doi.org/10.3389/fpsyg.2020.581235

16. Dorsch, T. E., Wright, E., Eckardt, V. C., Elliott, S., Thrower, S. N., & Knight, C. J. (2021). A history of parent involvement in organized youth sport: A scoping review. Sport, Exercise, and Performance Psychology10(4), 536. https://doi.org/10.1037/spy0000266

17. Edwards, J. R. (1994). Regression analysis as an alternative to difference scores. Journal of Management, 20(3), 683-689.

18. Erikson, E. H. (1950). Childhood and society. W. W. Norton & Co.

19. Erikstad, M. K., Martin, L. J., Haugen, T., & Høigaard, R. (2018). Group cohesion, needs satisfaction, and self-regulated learning: A one-year prospective study of elite youth soccer players’ perceptions of their club team. Psychology of Sport and Exercise, 39, 171–178. https://doi.org/10.1016/j.psychsport.2018.08.013

20. Eys, M., Loughead, T., Bray, S. R., & Carron, A. V. (2009). Development of a cohesion questionnaire for youth: The Youth Sport Environment Questionnaire. Journal of Sport and Exercise Psychology31(3), 390-408. https://doi.org/10.1123/jsep.31.3.390

21. Felber Charbonneau, E., & Camiré, M. (2020). Parental involvement in sport and the satisfaction of basic psychological needs: Perspectives from parent–child dyads. International Journal of Sport and Exercise Psychology, 18(5), 655–671. https://doi.org/10.1080/1612197X.2019.1570533

22. Filho, E., Dobersek, U., Gershgoren, L., Becker, B., & Tenenbaum, G. (2014). The cohesion–performance relationship in sport: A 10-year retrospective meta-analysis. Sport Sciences for Health, 10(3), 165–177. https://doi.org/10.1007/s11332-014-0188-7

23. Greenberg, M. T., Weissberg, R. P., O’Brien, M. U., Zins, J. E., Fredericks, L., Resnik, H., & Elias, M. J. (2003). Enhancing school-based prevention and youth development through coordinated social, emotional, and academic learning. American Psychologist58(6-7), 466. https://doi.org/10.1037/0003-066X.58.6-7.466

24. Hampson, R., & Jowett, S. (2014). Effects of coach leadership and coach–athlete relationship on collective efficacy. Scandinavian Journal of Medicine & Science in Sports24(2), 454-460. https://doi.org/10.1111/j.1600-0838.2012.01527.x

25. Holt, N. L., Neely, K. C., Slater, L. G., Camiré, M., Côté, J., Fraser-Thomas, J., MacDonald, D., Strachan, L., & Tamminen, K. A. (2017). A grounded theory of positive youth development through sport based on results from a qualitative meta-study. International Review of Sport and Exercise Psychology10(1), 1-49. https://doi.org/10.1080/1750984X.2016.1180704

26. Jones, M. I., Dunn, J. G., Holt, N. L., Sullivan, P. J., & Bloom, G. A. (2011). Exploring the ‘5Cs’ of positive youth development in sport. Journal of Sport Behavior34(3). https://psycnet.apa.org/record/2011-17095-003

27. Jowett, S. (2017). Coaching effectiveness: The coach–athlete relationship at its heart. Current Opinion in Psychology, 16, 154–158. https://doi.org/10.1016/j.copsyc.2017.05.006

28. Jowett, S., & Cockerill, I. M. (2003). Olympic medalists’ perspective of the athlete–coach relationship. Psychology of Sport and Exercise, 4(4), 313–331. https://doi.org/10.1016/S1469-0292(02)00011-0

29. Jowett, S., & Ntoumanis, N. (2004). The Coach–Athlete Relationship Questionnaire (CART‐Q): Development and initial validation. Scandinavian Journal of Medicine & Science in Sports14(4), 245-257. https://doi.org/10.1111/j.1600-0838.2003.00338.x

30. Kipp, L. E., & Bolter, N. D. (2020). Motivational climate, psychological needs, and personal and social responsibility in youth soccer: Comparisons by age group and competitive level. Psychology of Sport and Exercise, 51. https://doi.org/10.1016/j.psychsport.2020.101756

31. Knight, C. J., Neely, K. C., & Holt, N. L. (2011). Parental behaviors in team sports: How do female athletes want parents to behave? Journal of Applied Sport Psychology23(1), 76-92. https://doi.org/10.1080/10413200.2010.525589

32. Larson, R. W. (2000). Toward a psychology of positive youth development. American Psychologist, 55(1), 170–183. https://doi.org/10.1037/0003-066X.55.1.170

33. Lee, M., & MacLean, S. (1997). Sources of parental pressure among age group swimmers. European Journal of Physical Education2(2), 167-177. https://doi.org/10.1080/1740898970020204

34. Lerner, R. M. (2005). Promoting positive youth development: Theoretical and empirical bases. Washington, DC: National Academies of Sciences.

35. Lerner, R. M., Almerigi, J. B., Theokas, C., & Lerner, J. V. (2005). Positive youth development A view of the issues. The Journal of Early Adolescence, 25(1), 10–16. https://doi.org/10.1177/0272431604273211

36. Lerner, R. M., Lerner, J. V., Almerigi, J. B., Theokas, C., Phelps, E., Gestsdottir, S., Naudeau, S., Jelicic, H., Alberts, A., Ma, L., Smith, L. M., Bobek, D. L., Richman-Raphael, D., Simpson, I., 37.

37. Lerner, R. M., Lerner, J. V., Lewin-Bizan, S., Bowers, E. P., Boyd, M. J., Mueller, M. K., Schmid, K. L., & Napolitano, C. M. (2011). Positive youth development: Processes, orograms, and problematics. Journal of Youth Development, 6(3), 38–62. https://doi.org/10.5195/JYD.2011.174

38. MacDonald, D. J., Côté, J., Eys, M., & Deakin, J. (2012). Psychometric properties of the youth experience survey with young athletes. Psychology of Sport and Exercise13(3), 332-340. https://doi.org/10.1016/j.psychsport.2011.09.001

39. Massey, W. V., Veliz, P. T., Zarrett, N., & Farello, A. (2024). Thriving through sport: The transformative impact on girls’ mental health. Women’s Sport Foundation.

40. McBride, A. M., Johnson, E., Olate, R., & O’Hara, K. (2011). Youth volunteer service as positive youth development in Latin America and the Caribbean. Children and Youth Services Review, 33(1), 34–41. https://doi.org/10.1016/j.childyouth.2010.08.009

41. Nikolina, K., & Đorić, V. (2023). Relations of coach-athlete relationship quality and athlete psychosocial functioning: A systematic review. SportLogia19(1). https://doi.org/10.7251/SGIA2319002K

42. Riggio, R. E., Throckmorton, B., & Depaola, S. (1990). Social skills and self-esteem. Personality and Individual Differences11(8), 799-804. https://doi.org/10.1016/0191-8869(90)90188-W

43. Salavera, C., Usán, P., & Quilez-Robres, A. (2022). Exploring the effect of parental styles on social skills: The mediating role of affects. International Journal of Environmental Research and Public Health19(6), 3295. https://doi.org/10.3390/ijerph19063295

44. Sancassiani, F., Pintus, E., Holte, A., Paulus, P., Moro, M. F., Cossu, G., Angermeyer, M. C., Carta, M. G., & Lindert, J. (2015). Enhancing the emotional and social skills of the youth to promote their wellbeing and positive development: A systematic review of universal school-based randomized controlled trials [Special issue]. Clinical Practice and Epidemiology in Mental Health, 11, 21-40. https://doi.org/10.2174/1745017901511010021

45. Senécal, J., Loughead, T. M., & Bloom, G. A. (2008). A season-long team-building intervention: Examining the effect of team goal setting on cohesion. Journal of Sport and Exercise Psychology, 30(2), 186-199. https://doi.org/10.1123/jsep.30.2.186

46. Sheridan, D., Coffee, P., & Lavallee, D. (2014). A systematic review of social support in youth sport. International Review of Sport and Exercise Psychology7(1), 198-228. https://doi.org/10.1080/1750984X.2014.931999

47. Sibthorp, J., & Morgan, C. (2011). Adventure‐based programming: Exemplary youth development practice. New Directions for Youth Development, (130), 105-119. https://doi.org/10.1002/yd.400

48. Smith, A. L., & Ullrich-French, S. (2020). Peers and the sport experience. In G. Tenenbaum & R. C. Eklund (Eds.) Handbook of sport psychology (pp. 410–428). John Wiley & Sons, Inc. https://doi.org/10.1002/9781119568124.ch19

49. Storm, M. K., Williams, K. N., Shetter, E. M., Kaminsky, J., Lowery, C. M., Caldas, S. V., & Winch, P. J. (2017). Sink or swim: Promoting youth development through aquatics programs in Baltimore, Maryland. Journal of Park & Recreation Administration, 35(1), 66-79. https://doi.org/10.18666/JPRA-2017-V35-I1-7295

50. Sullivan, P. J., LaForge-MacKenzie, K., & Marini, M. (2015). Confirmatory factor analysis of the Youth Experiences Survey for Sport (YES-S). Open Journal of Statistics5(05), 421. https://doi.org/10.4236/ojs.2015.55044

51. Sung, Y. Y., & Chang, M. (2010). Which social skills predict academic performance of elementary school students. Journal on Educational Psychology3(3), 23-34. https://doi.org/10.26634/jpsy.3.3.1078

52. Turman, P. D. (2003). Coaches and cohesion: The impact of coaching techniques on team cohesion in the small group sport setting. Journal of Sport Behaviour26(1), 86-104. https://psycnet.apa.org/record/2003-01497-007

53. White, R. L., & Bennie, A. (2015). Resilience in youth sport: A qualitative investigation of gymnastics coach and athlete perceptions. International Journal of Sports Science & Coaching10(2-3), 379-393. https://doi.org/10.1260/1747-9541.10.2-3.379

54. Whitley, M. A., Massey, W. V., Camiré, M., Boutet, M., & Borbee, A. (2019). Sport-based youth development interventions in the United States: A systematic review. BMC Public Health19, 1-20. https://doi.org/10.1186/s12889-019-6387-z

55. Worker, S. M., Iaccopucci, A. M., Bird, M., & Horowitz, M. (2019). Promoting positive youth development through teenagers-as-teachers programs. Journal of Adolescent Research, 34(1), 30-54. https://doi.org/10.1177/0743558418764089

Appendix A
Supplemental Materials

Table 4

Correlation Matrix of Study Variables

Variables1234567
1. Age       
2. CART-Q-0.34*      
3. PISQ0.150.23     
4. YSEQ-0.140.66**0.31*    
5. Social Skills0.140.62**0.35*0.47**   
6. Cognitive Skills-0.050.40*0.160.160.66**  
7. Goal Setting0.030.43**0.130.42**0.57**0.70** 
8. Initiative-0.100.53**0.180.47**0.51**0.40*0.70**

Notes. * Correlation is significant at the 0.05 level (two-tailed). ** Correlation is significant at the 0.01 level (two-tailed); CART-Q = Coach-Athlete Relationship; PISQ = Parental Involvement, YSEQ = Peer Relationships

Table 5

Regression Results for Perceptions of Goal Setting Skills Gained by Athletes

   95% CI for B  
VariablebSELLULbp
Intercept2.0531.862-1.7315.836 0.278
Gender-0.2280.271-0.7790.322-0.1400.405
Age0.1860.162-0.1430.5150.1960.259
Race0.0110.062-0.1150.1370.0280.863
DCART-Q0.2300.1090.0080.4510.3690.042
DPISQ0.1750.235-0.3020.6510.1240.462

Notes. R2= 0.183, p = 0.207; DCART-Q = Change in Coach-Athlete Relationship; DPISQ = Change in Parental Involvement

** When ran independently due to the existing multicollinearity, change to peer cohesion was not a significant predictor of cognitive skills.

Table 6

Regression Results for Perceptions of Initiative Gained by Athletes

   95% CI for B  
VariablebSELLULbp
Intercept4.0001.3151.3286.671-0.1203.043
Gender-0.1380.191-0.5270.2500.062-0.723
Age0.0420.114-0.1910.2740.0350.365
Race0.0100.044-0.0790.0990.3890.221
DCART-Q0.1710.0770.0150.3270.0872.224
DPISQ0.0860.166-0.2510.423-0.1200.520

Notes. R2= 0.185, p = 0.203; DCART-Q = Change in Coach-Athlete Relationship; DPISQ = Change in Parental Involvement

** When ran independently due to the existing multicollinearity, change to peer cohesion was not a significant predictor of cognitive skills.

2025-10-01T13:40:31-05:00March 18th, 2026|Leadership, Research, Sport Education, Sport Training, Sports Coaching, Sports Studies and Sports Psychology|Comments Off on The Role of Sport Relationships in Positive Youth Development

From Classroom to Kickoff: A Case Study on the Perceived Value and Career Impact of Experiential Learning at the Super Bowl for Sport Management Students

Joshua S. Greer1, Jason Grindstaff2, Noa Stroop3


Dr. Joshua S. Greer serves as an Assistant Professor and Program Director for both the graduate and undergraduate Sport Management programs at Cumberland University. He also fulfills the role of Internship Coordinator for Exercise Science and Sport Management within the Jeanette C. Rudy School of Nursing and Health Professions. Dr. Greer holds a B.S. from the University of Tennessee at Martin, an M.Ed. from Bethel University, and an Ed.D. from the United States Sports Academy. His academic interests focus on experiential learning, sport marketing, and industry engagement, aiming to prepare students for dynamic careers in the sport industry.


Dr. Jason S. Grindstaff is the Interim Dean of the Jeanette C. Rudy School of Nursing and Health Professions at Cumberland University, where he has been a faculty member since 2010. He has taught across undergraduate and graduate programs in Exercise & Sport Science and has held leadership roles including Program Director for the Master of Sport & Exercise Science, Executive Director of the Honors Program, and Chair of the Academic Integrity Board. Dr. Grindstaff earned his B.A. from Dakota Wesleyan University, two M.S. degrees and a Ph.D. from the University of Tennessee, Knoxville, and an M.B.A. from Cumberland University.


Dr. Noa D. Stroop is an Assistant Professor of Business at Cumberland University. He completed both his B.S. and M.B.A. at Tennessee Technological University and earned his D.B.A. from Trevecca Nazarene University. Dr. Stroop’s professional background includes roles as a consultant, coach, and business leader. At Cumberland, he focuses on delivering practical, student-centered business education, integrating real-world applications into his teaching.

Joshua S. Greer. https://orcid.org/0009-0005-2890-1673

We have no known conflict of interest to disclose.

Correspondence concerning this article should be addressed to Joshua S. Greer, 230 Foxfire Road, Paris, Tennessee 38242. Email: [email protected]

Abstract
Experiential learning is a foundational component of sport management education, offering students the opportunity to apply theoretical knowledge in real-world settings. Grounded in Kolb’s Experiential Learning Theory, this case study investigates the perceived value and career impact of an immersive experiential learning opportunity at the NFL Super Bowl. Using a mixed-methods approach, data were collected from 11 undergraduate and graduate sport management students through a structured survey instrument. Paired samples t-tests were used to assess the alignment between students’ pre-event expectations and their post-event perceptions, while Pearson correlation analysis examined relationships between networking confidence and career-related outcomes.


Results revealed that students’ actual experiences exceeded their expectations in terms of professional development (t(9) = 3.67, p = 0.005), while expectations regarding a competitive edge remained consistent with post-event perceptions (t(9) = -0.56, p = 0.591). Strong positive correlations were found between networking confidence and key career outcomes, including meaningful connections (r = 0.84, p = 0.002) and perceived job prospects (r = 0.90, p < 0.001). These findings emphasize the importance of structured, high-impact experiential learning opportunities in developing students’ professional readiness and self-efficacy.
The study offers actionable insights for educators and program administrators, emphasizing the need to set realistic expectations while maximizing long-term career development through experiential learning. Recommendations include expanding access to immersive experiences and integrating reflective components to reinforce the value of applied learning in sport management curricula.

Key Words: experiential learning, sport management education, Super Bowl, career development, student perceptions, networking confidence, Kolb’s Experiential Learning Theory, applied learning, professional readiness, event-based learning

From Classroom to Kickoff: A Case Study on the Perceived Value and Career Impact of Experiential Learning at the Super Bowl for Sport Management Students
Experiential learning has emerged as a cornerstone of sport management education, offering students practical experiences that bridge theoretical knowledge with the complexities of real-world practice. Grounded in Kolb’s Experiential Learning Theory, this pedagogical approach has informed the design of various instructional strategies, including capstone projects, industry simulations, and problem-based learning (Bower, 2013). The incorporation of experiential components within sport management curricula not only fosters the development of technical and interpersonal skills but also enhances students’ employability by immersing them in authentic, applied contexts (DeLuca & Fornatora, 2020; Faure & Ray, 2021).


This case study explores the perceived value and career impact of participating in an immersive experiential learning opportunity at the NFL Super Bowl for sport management students. Specifically, it investigates the extent to which guided, real-world experiences influence students’ confidence in pursuing careers in the sport industry and examines the alignment between their pre-event expectations and the professional benefits perceived post-participation. Utilizing survey data from student participants, the study contributes to the expanding literature on experiential learning in sport management education by providing empirical insights into its efficacy. The findings offer practical implications for educators, curriculum developers, and industry stakeholders seeking to enhance student career readiness through intentionally designed, high-impact experiential learning initiatives.

Literature Review
In response to the growing complexity and competitiveness of the sport industry, academic institutions have increasingly recognized the need to integrate experiential learning into sport management curricula. Traditional lecture-based instruction, while foundational, often falls short in preparing students for the multifaceted demands of the professional sport environment. As a result, experiential learning has emerged as a critical pedagogical approach, bridging the gap between theoretical instruction and real-world application. Grounded in Kolb’s Experiential Learning Theory, this educational strategy encompasses internships, client-based projects, event planning, consulting practicums, and blended learning environments—all of which immerse students in authentic industry settings. A growing body of literature demonstrates that such experiences not only enhance technical and interpersonal competencies but also foster critical career readiness attributes, including problem-solving, adaptability, communication, and leadership (Faure & Ray, 2021; Barefoot et al., 2023; Song et al., 2021). Furthermore, structured experiential opportunities facilitate professional networking, mitigate employment anxiety, and strengthen students’ confidence in their career trajectories (Chan, 2023; Wei & Fu, 2024). This case study explores the multidimensional value of experiential learning within sport management education, emphasizing its role in cultivating career preparedness, professional identity, and industry engagement through both in-person and virtual platforms.


Experiential Learning in Sport Management
Research continues to highlight the value of experiential learning in cultivating core competencies in sport management students. For instance, Faure and Ray (2021) demonstrated that student participation in a National Collegiate Athletic Association (NCAA) championship event served as a meaningful capstone experience, sharpening real-time problem-solving and organizational skills. Similarly, interdisciplinary, problem-based learning environments have been found to improve oral communication and data analysis capabilities through engagement with complex, profession-relevant scenarios (Song et al., 2021). Additionally, applied improvisation exercises have been shown to facilitate the development of meta-skills—such as adaptability and collaboration—that are increasingly valuable across sport management domains (Barefoot et al., 2023). Service-learning models, which build upon traditional internships by embedding guided engagement, offer further opportunities for students to apply classroom learning while contributing to societal needs (Gipson et al., 2023).
The integration of experiential learning within sport management programs is inherently multifaceted. Educators utilize various strategies—including internships, guided field-based projects, and blended learning environments—to address the evolving demands of the sport industry. Structured activities such as facility inspections and managerial interviews provide students with hands-on experiences that mirror operational realities within sport organizations (Diacin, 2018). Concurrently, hybrid learning models that combine in-person instruction with digital tools support flexibility in pedagogy and promote consistent engagement across experiential initiatives (Lower‐Hoppe et al., 2019). Recommendations for improving experiential learning practices, particularly internships—emphasize the need for continual assessment and innovation to better align educational outcomes with industry expectations (Brown et al., 2018; Sattler, 2018).
Collectively, these approaches highlight the significance of experiential learning as both a theoretical framework and a practical mechanism for enhancing professional preparedness in sport management. As the field continues to evolve in response to industry shifts, experiential learning remains essential for equipping graduates with the critical thinking, decision-making, and reflective capacities necessary for sustained career success.


The Importance of Experiential Learning in Sport Management Curricula
The integration of experiential learning into sport management curricula is increasingly acknowledged as a critical component for preparing students to navigate the complexities of a dynamic and competitive job market. Faure and Ray (2021) emphasize the effectiveness of capstone experiences in promoting student readiness, noting that hands-on learning cultivates both confidence and professional competence. In alignment with this perspective, Southall et al. (2003) contend that the inherently competitive nature of the sport industry demands a strong experiential foundation to ensure that graduates possess the practical skills and applied knowledge necessary for success. Gipson et al. (2023) further reinforce the value of immersive learning opportunities—such as internships and structured, guided-learning projects—as essential mechanisms for bridging the gap between theoretical instruction and real-world application. These experiences not only deepen student engagement but also foster critical thinking, adaptability, and problem-solving capabilities, which are essential for sustained professional growth in the sport industry.


A growing body of research supports the idea that experiential learning aligns with the industry’s increasing demand for professionals who can seamlessly apply their knowledge in various sport-related contexts. Traditional lecture-based instruction, while foundational, often falls short in equipping students with the practical skills required to navigate the complexities of sport management. By contrast, experiential learning models encourage students to engage in active learning environments, allowing them to develop competencies in areas such as leadership, teamwork, communication, and adaptability—skills that are highly valued by employers in the field.


Methodologies and Strategies in Experiential Learning
A variety of experiential learning strategies have been implemented across sport management programs, each offering unique benefits to students. One such method is the use of client-based projects, particularly in sport sales courses. Pierce (2018) illustrates how these projects not only engage students but also simulate real-world sales environments, fostering practical experience in negotiations, client relations, and revenue generation. Similarly, Bower (2013) discusses the application of Kolb’s Experiential Learning Theory in organizing events such as golf scrambles, which provide students with opportunities to engage in hands-on event management and problem-solving.


Guided-learning projects and internships are among the most effective experiential learning strategies in sport management education. These initiatives allow students to work directly with sport organizations, gaining firsthand exposure to industry challenges and operations. Coffey and Davis (2019) note that these experiences are particularly valuable for student-athletes, as they help translate their on-field teamwork and leadership skills into professional settings. Additionally, guided-learning projects often involve community engagement, which enhances students’ understanding of corporate social responsibility and the broader impact of sport organizations.


Faculty mentorship and supervision also play a crucial role in the success of experiential learning programs. Deluca and Fornatora (2020) argue that faculty guidance during applied coursework is vital for maximizing learning outcomes, as instructors help students navigate complex projects and reflect on their experiences. This perspective is echoed by Pierce and Petersen (2010), who emphasize the importance of assessing student learning outcomes in experiential settings to quantify the effectiveness of these educational experiences. Assessment tools such as reflective journals, portfolio development, and performance evaluations ensure that experiential learning remains structured, and outcome driven.


The Role of Blended Learning in Experiential Education
As technology continues to reshape education, blended learning approaches have gained traction in sport management programs. Lower-Hoppe et al. (2019) propose that combining online and face-to-face instruction can optimize learning outcomes by accommodating diverse learning styles while maintaining the integrity of experiential projects. This approach is particularly relevant in sport event management courses, where students can engage in virtual simulations, case studies, and live event planning.
Blended learning also facilitates greater accessibility to experiential opportunities, particularly for students who may face geographic or financial barriers to participating in traditional internships. Online platforms enable students to engage with sport professionals, analyze real-time industry data, and develop strategic solutions to contemporary sport management issues. By integrating digital tools with hands-on experiences, educators can create a more inclusive and effective learning environment.


Networking Opportunities
Experiential learning has emerged as a crucial pedagogical strategy to enhance both networking and career readiness among students. In particular, work-integrated learning opportunities—including internships, consulting practicums, and co‐curricular activities enable students to develop career readiness attributes by providing direct exposure to workplace practices and professional networks. Chan (2023) argues that exposing students to diverse, real‐world situations through hands-on learning not only develops essential work readiness skills but also creates networking opportunities that can significantly influence career outcomes. Similarly, Mayorga (2019) demonstrates that higher education institutions can effectively develop career readiness through incubator programs that immerse students in authentic, situational learning environments, thereby facilitating connections with industry professionals.


Structured experiential initiatives also foster networking by placing students in scenarios where practical skills blend with professional interactions. Jackson and Bridgstock (2020) highlight that work-integrated learning activities, such as internships, guided field experiences, and practicum placements, are instrumental in forging meaningful interactions with industry practitioners. This interaction is further emphasized by Akpan (2016), who shows that consulting practicums effectively equip students with the necessary career skills while simultaneously providing platforms for networking with experienced professionals. Prather (2007) documents that internships allow students to experience a connected learning environment where classroom theory is continuously integrated with workplace practices, thus promoting both skill acquisition and the expansion of professional networks.


The design and implementation of experiential learning modules play a critical role in fostering career readiness by promoting reflective practices that enhance self-assessment and informed decision-making. Wart et al. (2020) and Aithal and Mishra (2024) emphasize that hands-on experiences coupled with structured reflection enable students to refine their professional identities and clarify their career goals. These reflective processes are vital not only for the development of technical competencies but also for cultivating essential soft skills such as communication, adaptability, and leadership, which are crucial for effective professional networking.


In addition to traditional in-person experiences, the incorporation of virtual platforms into experiential learning offers expanded opportunities for career development. Combs, Joyce, and Bynum (2024) demonstrate that digital environments can effectively support networking by connecting students with mentors and industry professionals, particularly when geographic or logistical barriers limit face-to-face interaction.


Experiential learning also addresses the psychological dimensions of career preparation, such as employment anxiety and self-efficacy. Wei and Fu (2024) and Chen and Tang (2024) advocate for the integration of experiential teaching into career planning curricula to reduce employment-related stress and reinforce professional confidence. Exposure to realistic workplace scenarios and ongoing interaction with industry professionals helps students contextualize their academic knowledge, navigate relational dynamics, and build meaningful networks.
Taken together, experiential learning offers a multidimensional approach to career readiness by simultaneously developing technical and interpersonal competencies, promoting reflective growth, and fostering network-building. Through a variety of mechanisms—including internships, consulting practicums, hands-on projects, and virtual platforms, students gain direct exposure to professional expectations and establish critical industry connections. This holistic framework enhances not only students’ employability but also their long-term capacity to succeed within the dynamic landscape of the sport management profession.

Conclusion
As the sport industry grows in complexity and competitiveness, the need for experiential learning in sport management education becomes increasingly imperative. This study emphasizes how experiential learning bridges the gap between academic instruction and real-world application through methodologies such as internships, capstone projects, guided-learning experiences, and blended learning environments. The integration of these strategies has demonstrated significant benefits, including the enhancement of critical thinking, adaptability, and industry-specific competencies.


Participation in large-scale events, such as the Super Bowl, represents a pinnacle of experiential learning, offering students a rare opportunity to immerse themselves in high-stakes, professional environments. These experiences provide not only technical skill development but also instill confidence, professional identity, and career direction. The value of faculty mentorship, structured assessment tools, and intentional curricular design further amplifies the effectiveness of experiential initiatives, ensuring that they are both impactful and aligned with industry expectations.


Looking ahead, continued research is essential to evaluate the long-term career benefits of experiential learning and to identify best practices for maximizing its impact. Expanding partnerships between academic institutions and sport organizations will be crucial in offering meaningful, scalable, and inclusive experiential opportunities. Ultimately, embedding experiential learning deeply within sport management education equips students with the tools they need to transition from the classroom to the kickoff—prepared, confident, and career-ready.

Materials and Methods
Participants
The total number of 11 participants were included in this study. The gender distribution was as follows: 7 participants (63.6%) were female, and 4 participants (36.4%) were male. Of these, 6 participants (54.5%) were graduate students, including 4 (66.7%) females and 2 males (33.3%).


Instrument
From Classroom to Kickoff: Evaluating the Career Benefits of Super Bowl Experiential Learning Survey (attached)
Data Treatment and Analysis
Statistical analyses were conducted to address the research questions and evaluate the perceptions of sport management students regarding the career benefits of participating in the NFL Super Bowl experiential learning opportunity. Descriptive statistics were used to summarize participant responses. Paired samples t-tests were conducted to compare students’ expectations before the event with their perceived outcomes (e.g., professional development, competitive edge, career benefits). Pearson correlation analysis was used to explore the relationships among key outcome variables such as confidence in career pursuits, networking effectiveness, and perceived career impact. Open-ended responses were analyzed thematically to supplement quantitative findings and provide deeper insight into students’ overall satisfaction and willingness to recommend the experience.

Results and Discussion
Student Expectations and Perceived Outcomes
The results of the paired samples t-tests revealed several important findings related to students’ expectations and perceived outcomes from their Super Bowl experiential learning experience. A significant difference was found between students’ expectations of gaining hands-on learning (Q1) and their perceptions of professional development after the experience (Q2), t(9) = 3.67, p = 0.005. This suggests that students felt their actual experience exceeded their initial expectations regarding professional development.


In contrast, no significant difference was found between students’ expectations of gaining a competitive edge in the job market (Q11) and their perceptions following the event (Q12), t(9) = -0.56, p = 0.591. This indicates that students’ expectations were generally aligned with their perceived benefits in this area. However, a highly significant difference was observed between students’ expectations of receiving direct career opportunities, such as job offers or interviews (Q13), and their reported outcomes (Q14), t(9) = 6.00, p < 0.001. This suggests that while students were optimistic about immediate career benefits, those expectations were not fully met in the short term.


Networking Confidence and Career Perceptions
The Pearson Correlation analyses revealed several statistically significant associations between students’ self-reported networking confidence and career-related perceptions, highlighting the potential impact of experiential learning within sport management education. A strong positive correlation was observed between students’ confidence in their networking abilities (Q10) and their belief that participation in the Super Bowl experience would enhance their future job prospects (Q5), r = .90, p < .001. This suggests that students who expressed higher levels of confidence in their networking skills were more likely to view the experience as a meaningful contributor to their professional development.


Similarly, a strong positive correlation was found between networking confidence (Q10) and students’ beliefs that the professional connections formed during the event would support future opportunities, such as employment, internships, or graduate assistantships (Q9), r = .77, p = .009. This indicates that students who perceived greater utility in their networking efforts also reported higher levels of self-assurance in their ability to build professional relationships. In addition, a strong correlation was identified between networking confidence (Q10) and the extent to which students reported making meaningful professional connections during the event (Q8), r = .84, p = .002. These findings collectively suggest that students who felt more confident in their networking capabilities were also more likely to report engaging in valuable professional interactions.

Career Readiness and Perceived Professional Development
Beyond networking-specific outcomes, further analysis revealed significant relationships involving overall career readiness and perceived professional development. Students who felt more prepared for a career in sport management (Q3) were more likely to recommend the Super Bowl experience to others (Q15), r = .80, p = .005. A strong correlation was also found between the alignment of students’ assigned tasks and their perception that the experience met their expectations for professional development (Q6), r = .88, p < .001. Notably, students who believed the Super Bowl experience gave them a competitive advantage in the job market were significantly more likely to report already receiving tangible career benefits, such as internship offers or job interviews (Q13), r = .89, p < .001. One additional correlation between networking confidence and perceived competitive advantage (Q10 and Q12)—approached statistical significance, r = .60, p = .066, suggesting a potentially meaningful relationship that could be more clearly established in studies with larger sample sizes. Collectively, these findings highlight the interconnectedness of networking confidence, career preparedness, and the perceived value of high-impact experiential learning. The strength and consistency of the correlations support the notion that participation in major sporting events such as the Super Bowl can meaningfully enhance students’ professional development trajectories within the field of sport management.

Conclusion
The present study contributes to the growing body of literature emphasizing the value of experiential learning in sport management education by examining student perceptions of professional development, career readiness, and networking outcomes resulting from participation in the NFL Super Bowl. The findings emphasize the importance of high-impact learning experiences in enhancing students’ confidence, career awareness, and perceived marketability within the competitive sport industry. Quantitative analyses revealed that students’ expectations regarding hands-on learning and professional development were not only met but exceeded, as demonstrated by significant increases in post-event perceptions. While students’ expectations regarding competitive advantage remained consistent, the anticipated short-term career outcomes such as job offers or interviews were not fully realized. This discrepancy suggests a need to frame experiential learning as a catalyst for long-term, rather than immediate, professional advancement.

The strong and consistent correlations between networking confidence and several career-related outcomes highlight the pivotal role of self-efficacy in professional relationship-building. Students who reported higher levels of networking confidence were more likely to form meaningful connections, perceive the experience as professionally valuable, and anticipate long-term career benefits. These findings align with existing research that underscores the importance of confidence and social capital in career development among emerging sport professionals.
Additionally, the alignment between assigned tasks and students’ expectations was a significant predictor of overall satisfaction and perceived professional growth. This supports the argument that carefully structured and intentional experiential learning opportunities are critical in maximizing the educational and professional value of such events. This study affirms the potential of large-scale sport events like the Super Bowl to serve as transformative learning environments that foster career readiness, enhance networking abilities, and solidify students’ commitment to pursuing careers in sport management. Future research should consider longitudinal approaches to evaluate the enduring effects of these experiences on actual career outcomes, including job placement, graduate school enrollment, and professional advancement. Additionally, expanding sample sizes and incorporating multi-institutional data could strengthen generalizability and provide further insights into best practices for experiential learning program design.

Research Limitations and Implications
While this study offers meaningful insights into the perceived benefits of Super Bowl experiential learning, several limitations should be acknowledged. First, the small sample size (n = 11) limits the generalizability of the findings. Although the data revealed significant patterns and correlations, the results may not fully represent the experiences of a broader population of sport management students. Future studies with larger and more diverse participant pools would enhance the reliability and applicability of these findings. Despite these limitations, the findings have important implications for sport management education. Experiential learning at large-scale events like the Super Bowl can play a critical role in enhancing students’ career preparedness, particularly in the areas of networking and professional confidence. Academic programs should continue to prioritize and expand these opportunities, while also integrating reflective components that help students connect their experiences to broader career goals.

References

  1. Aithal, P. S., & Mishra, N. (2024). Integrated framework for experiential learning: Approaches & impacts. International Journal of Case Studies in Business, IT and Education, 8(1), 354–367. https://doi.org/10.47992/ijcsbe.2581.6942.0340
  2. Akpan, I. J. (2016). The efficacy of consulting practicum in enhancing students’ readiness for professional career in management information systems: An empirical analysis. Decision Sciences Journal of Innovative Education, 14(2), 155–170. https://doi.org/10.1111/dsji.12109
  3. Barefoot, M., Martinez, J. M., & Morrow, H. S. (2023). Applied improvisation in the sport management curriculum. Sports Innovation Journal, 4(1), 1–15. https://doi.org/10.18060/27405
  4. Bower, G. G. (2013). Utilizing Kolb’s experiential learning theory to implement a golf scramble. International Journal of Sport Management Recreation & Tourism, 12, 1–16. https://doi.org/10.5199/ijsmart-1791-874x-12c
  5. Brown, C., Willett, J., Goldfine, R., & Goldfine, B. (2018). Sport management internships: Recommendations for improving upon experiential learning. Journal of Hospitality, Leisure, Sport & Tourism Education, 23, 98–102. https://doi.org/10.1016/j.jhlste.2018.02.001
  6. Chan, B. T. Y. (2023). Driving the career readiness agenda in Hong Kong higher education. Frontiers in Education, 8, Article 1325592. https://doi.org/10.3389/feduc.2023.1325592
  7. Chen, X., & Tang, M. (2024). Constructing virtual teaching and research centers for business English education: A framework for application-oriented universities. Journal of Education and Educational Research, 6(1), 58–70. https://doi.org/10.54097/v9dj3k61
  8. Coffey, D., & Davis, J. (2019). The holistic approach to academia: Traditional classroom instruction and experiential learning of student-athletes. Education Sciences, 9(2), 125. https://doi.org/10.3390/educsci9020125
  9. Combs, M., Joyce, R., & Bynum, C. (2024). Impact of a cybersecurity work-related course on students’ career thoughts and attitudes. Journal of the Colloquium for Information Systems Security Education, 11(1), 1–10. https://doi.org/10.53735/cisse.v11i1.185
  10. De Schepper, J., & Sotiriadou, P. (2017). A framework for critical reflection in sport management education and graduate employability. Annals of Leisure Research, 21(5), 564–582. https://doi.org/10.1080/11745398.2017.1336107
  11. DeLuca, J. R., & Fornatora, E. (2020). Experiential learning from a classroom desk: Exploring student perceptions of applied coursework. Sport Management Education Journal, 14(1), 1–9. https://doi.org/10.1123/smej.2019-0015
  12. Diacin, M. J. (2018). An experiential learning opportunity for sport management students: Manager interview and facility inspection. Sport Management Education Journal, 12(1), 41–44. https://doi.org/10.1123/smej.2017-0033
  13. Faure, C., & Ray, B. M. (2021). Lighting up the sky: Experiential learning at a NCAA championship event. Journal of Kinesiology & Wellness, 10, 1–11. https://doi.org/10.56980/jkw.v10i.90
  14. Gipson, C., Mutchler, J., Mallhi, A. K., & Lambert, A. (2023). “I felt we were actually learning things, then applying them.” Sports Innovation Journal, 4(1), 16–30. https://doi.org/10.18060/27392
  15. Gipson, K., Smith, S., & Jones, R. (2023). “I felt we were actually learning things, then applying them.” Sports Innovation Journal, 9(1), 1–15. https://doi.org/10.18060/27392
  16. Jackson, D., & Bridgstock, R. (2020). What actually works to enhance graduate employability? The relative value of curricular, co-curricular, and extra-curricular learning and paid work. Higher Education, 82, 903–922. https://doi.org/10.1007/s10734-020-00570-x
  17. Lower‐Hoppe, L. M., Wanless, L., Aldridge, S. M., & Jones, D. W. (2019). Integrating blended learning within sport event management curriculum. Sport Management Education Journal, 13(1), 44–51. https://doi.org/10.1123/smej.2018-0024
  18. Mayorga, L. K. (2019). HEIs and workforce development: Helping undergraduates acquire career-readiness attributes. Industry and Higher Education, 33(6), 396–403. https://doi.org/10.1177/0950422219875083
  19. Pierce, D. (2018). Using experiential client-based projects in sport sales courses. International Journal of Marketing and Sales Education, 12(1), 1–10. https://doi.org/10.4018/ijmse.2018010101
  20. Pierce, D., & Petersen, J. (2010). Experiential learning in sport sales: Student perceptions of sport sales expectations, skills and preparation. Sport Management Education Journal, 4(1), 49–62. https://doi.org/10.1123/smej.4.1.49
  21. Prather, C. D. (2007). Experiential learning in collegiate aviation: The use and assessment of internships. Collegiate Aviation Review International, 25(2), 53–62. https://doi.org/10.22488/okstate.18.100359
  22. Sattler, L. A. (2018). From classroom to courtside: An examination of the experiential learning practices of sport management faculty. Journal of Hospitality, Leisure, Sport & Tourism Education, 23, 84–89. https://doi.org/10.1016/j.jhlste.2018.02.002
  23. Song, C., Riddell, H., & Ryan, S. (2021). Improving students’ oral communication skills through an interdisciplinary problem-based learning opportunity in a sport management course. International Journal of Physical Education, Fitness and Sports, 10(3), 18–27. https://doi.org/10.34256/ijpefs2133
  24. Southall, R. M., Nagel, M. S., & LeGrande, D. (2003). The role of experiential learning in sport management education. Sport Management Review, 6(1), 1–15. https://doi.org/10.1016/S1441-3523(03)70002-6
  25. Van Wart, A., O’Brien, T. C., Varvayanis, S., Alder, J., Greenier, J., Layton, R. L., Stayart, C. A., Wefes, I., & Brady, A. E. (2020). Applying experiential learning to career development training for biomedical graduate students and postdocs: Perspectives on program development and design. CBE—Life Sciences Education, 19(1), ar10. https://doi.org/10.1187/cbe.19-12-0270
  26. Wei, L., & Fu, Y. (2024). Navigating future pathways: Repercussions of experiential teaching on employment anxiety in career planning courses. European Journal of Education Studies, 11(8), 78–91. https://doi.org/10.46827/ejes.v11i8.5421
2025-05-05T10:49:36-05:00July 18th, 2025|General, Leadership, Sport Education, Sports Management|Comments Off on From Classroom to Kickoff: A Case Study on the Perceived Value and Career Impact of Experiential Learning at the Super Bowl for Sport Management Students

Transitioning from High School Athletic Director to School Level Administrator: Leadership Considerations

Authors: Barry Kamrath1 and Jasen Baranowski2

Send all correspondence to:
Dr. Barry Kamrath, Director of Educational Leadership
University of Tennessee at Chattanooga
Department 4154
615 McCallie Ave.
Chattanooga, TN 37403
[email protected]

Transitioning from High School Athletic Director to School Level Administrator:
Leadership Considerations

Athletic or Activities Directors are prominent in high schools and middle schools across the U.S. This position often carries similar responsibilities to those of school administrators, and it is common for athletic directors to transition into other school leadership roles. This study provides insight into the transition from Athletic/Activities Director (AD) to building-level administrator by examining leadership characteristics and traits consistent with individuals who have made the transition. This mixed methods study gathered perceptions from six currently seated high school principals (former ADs) through two-stage interviews and compared the interview data with responses from a corresponding survey that gathered data from a state-wide sample of principals who had also transitioned from AD. The results suggest multiple connections in responsibilities between the AD and principal position that could aid in preparing ADs who aspire to become building administrators. Likewise, results point to various factors that influence an AD to exit the position, whether or not they are seeking an administrative role. Data are broken into external factors that contribute to the decision, as well as internal characteristics that are consistent with those who transition into administrative positions. Words of advice are shared for those considering this transition.

Keywords: Principal, Assistant Principal, High School, Coach

Transitioning from Athletic Director to School Principal:

Leadership Considerations

            Multiple pathways exist to the role of principal; however, a frequently observed career trajectory starts with a teacher, often with experience as an athletic coach, and transitions into the position of athletic director (AD). This is followed by a move to assistant principal, and, for many, culminates in the position of head principal or even superintendent. For those in an AD role, responsibilities vary but often include leading fundraising efforts, managing large budgets, overseeing disbursement and payment of coaches and officials, coordinating multiple schedules, managing human resources, and communicating with various stakeholders. Indeed, the AD position is often associated with high levels of stress as these leaders juggle the often-competing interests of school administrators, coaches, parents, and athletes, all while working with finite resources of money, time, and facility availability. Many of these duties and stresses are not unlike those expected of school administrators themselves. As athletic directors gain experience and confidence in managing these varied responsibilities, they often realize that a transition to a school-wide leadership role, such as assistant principal, is a logical progression in their professional careers.

            This study more closely examines the leadership characteristics, managerial expectations, and career decisions of secondary school administrators (assistant principals and principals) who were once secondary school athletic or activities directors. Consideration is given to leadership expectations and managerial responsibilities inherent to the athletic director position, and how this position and its corresponding experiences can assist in preparing future school administrators.

For this study, no distinction is used between athletic directors who are solely responsible for athletic programs, and “activities directors” who also are responsible for managing and scheduling other extra-curricular activities in the school or district beyond athletics (such as musical and/or theatrical events). Rather, the term “athletic director” (abbreviated AD) will be used to encompass either or both roles, always inclusive of athletics. Additionally, for the purposes of this study, “building-level administrators” include assistant principals and head principals. Individuals in a “dean of students” role are not considered building-level leaders within the context of this study. In fact, oftentimes, the dean of students role is found combined with AD positions, especially in smaller districts. Yet, this position will not be considered parallel to that of assistant principal or principal, because it often lacks administrative responsibilities consistent with the principal role, such as faculty supervision, instructional leadership, and resource management.

The purpose of this study was to provide insight into the transition from athletic director to building-level administrator by examining leadership characteristics and traits consistent with individuals who have made the transition from AD to building-level administrator. Three research questions guided the study: (a) What leadership skills or traits required of the AD position assist in transitioning to a building-level leadership position? (b) What similarities and differences exist between the characteristics of the athletic directors and building-level leaders? and (c) What internal and external factors influence athletic directors to transition from AD to building-level administrator? Before addressing these questions, attention is given to literature that informs the study.

Literature Review

This study is meant to provide further insight into potential upward mobility for those in an AD role. To better understand the complexities associated with transitioning from AD to a building-level administrative position, a brief review of relevant literature provides important foundational knowledge and context related to a) the evolution of the athletic director position, b) responsibilities of the athletic director, and c) transitioning to building-level leadership.

The Evolution of the Athletic Director Position

A paucity of research exists on potential upward mobility for high school athletic directors (AD) seeking advancement in their career. Although some studies exist that emphasize the teacher/coach balance (Conner, 2020; Konukman et al., 2010; Richards et al., 2018) or the gender inequities in AD positions (Ray, 2010; Sisley & Steigelman, 1994; Whisenant et al., 2015), fewer highlight the leadership characteristics that both positions have in common or engage with stakeholders who have made this transition. To better understand the complexities associated with transitioning from AD to building-level administrator, this research study aims to contribute to an area of educational scholarship that is currently underexplored. The following literature review provides context for the role of AD and its evolution, as well as highlighting research studies that have attempted to begin filling this void in the field.

The role of the athletic director (AD) in U.S. high schools has undergone significant transformation, becoming a more organized and demanding position than in the past (DeCesare, 2017; Furr, 2015; TSSAA, 2024) In the early 1900s, the informality of school sports meant that physical education teachers and coaches handled most athletic duties. At that time, the position of a dedicated athletic administrator had not yet developed. Coaches, who often held additional teaching responsibilities, organized athletic teams, coordinated schedules, and managed logistics in addition to teaching. Modern conceptualizations of the athletic director did not emerge until the mid-20th century, as school sports programs grew both in size and complexity (DeCesare, 2017).

The expansion of high school athletics during the 20th century necessitated specialized administrative oversight. By the 1950s and 1960s, many schools hired full-time ADs to maintain pace with the popularity and competition of new sports programs. To show this decades-long change, Nixon (1974) referred to “modern” sports as “large-scale social units with highly specialized divisions of labor, elaborate hierarchies of authority, and highly rationalized, formalized goal pursuits and normative controls” (p. 108). The establishment of organizations like the National Interscholastic Athletic Administrators Association (NIAAA) in 1977, which provided athletic directors with training, certification, and professional development, continued to professionalize the role of ADs (Blackburn et al., 2013). Early ADs typically still served as coaches or teachers, but their roles shifted to include the more strategic management of budgets, scheduling, and compliance with expanding state and national regulations.

The complexity of ADs’ responsibilities grew in the 1980s and 1990s. This era saw a shift toward greater attention on student-athlete well-being, including academic eligibility, mental health, and injury prevention. Thus, beyond logistical tasks like scheduling and equipment management, principals expected ADs to manage public relations, fundraising, legal compliance, and conflict resolution, with a particular focus on Title IX and student-athlete safety (Blackburn et al., 2013). Furthermore, ADs started assuming greater leadership responsibilities, overseeing coaches and athletes while navigating the intersection of education, sports, and community involvement (Hoch, 2014).

The position of athletic director had evolved into a highly specialized, full-time profession by the 2000s, especially in larger school districts. Part of this shift occurred in response to high-stakes testing; districts demanded principals with educational backgrounds rather than athletic ones, the latter a more commonplace reality before No Child Left Behind. Before this change, principals could support ADs more actively because they shared an athletic background (Furr, 2015). As high school sports programs became more integral to school communities, the responsibilities of ADs expanded to include advanced skills in management, communication, and financial oversight (Croskrey et al., 2018; Green & Reese, 2006). Fowler and colleagues (2017) found that in their study examining multi-level perspectives, the majority of principals desired ADs they hired to have content knowledge in law, budget, finance, and ethics. As the position continues to change, the ongoing professionalization of the role remains a priority, ensuring that athletic directors are equipped to meet the challenges of managing high school sports in the modern era (DeCesare, 2017).

Responsibilities of the Athletic Director

Expectations and responsibilities within the AD position vary widely and sometimes remain elusive until the candidate has been hired and arrives on the job (Lindsay et al., 2024). For example, Smith and colleagues’ (2023) study revealed that ADs tend to be under-prepared for legal issues that may arise. They explain that “social media issues, sexual harassment, and hazing are incidents that put schools under the microscope, and a well thought out and detailed education and awareness program as well as a response plan are similarly imperative” (p. 173). Furthermore, ADs frequently serve solely as an athletic or activities director; however, in some instances, ADs split their duties by combining the role of AD and another assignment within the school. In his dissertation research, DeCesare (2017) reported 43% of ADs worked full-time, while the other 57% served in some sort of dual role where they worked in another position in addition to being a high school athletic director, including school administrator, teacher, dean of students, or counselor. Athletic directors frequently report their coaching responsibilities when discussing their job description (Baghurst et al., 2014). DeCesare (2017) found that 32% of ADs had coaching responsibilities in addition to serving as AD. A larger percentage (67%) of these AD/coach combinations existed in small schools (DeCesare, 2017). This dynamic proves particularly challenging due to the resource scarcity often present at small schools where ADs are more likely expected to serve dual roles (Smith et al., 2023).

According to Baghurst and colleagues (2014), an AD’s ability to balance the myriad of new expectations and provide strong leadership determine the success of athletic programs. Stier and Schneider (2000) provide an exhaustive list of the “successful” AD: creating positive relationships with parents, community members, and other staff in school settings; maintaining high visibility at athletic events; preventing and solving problems; establishing networks with the media, booster clubs, and support groups; using and creating department handbooks; and possessing fundraising skills. Moreover, ADs must guarantee that coaches develop the necessary skills and have a comprehensive understanding of their legal obligations, including compliance with safety protocols and athlete protection standards (Armstrong & Stevenson, 2023). DeCesare (2017) explains that “although a dilution of duties occurs between collegiate and high school athletics, the essential elements and competencies of the position remain the same” (p. 18). Thus, the leadership quality expected of college athletic directors holds for secondary schools as well.

Athletic directors at middle and high schools across the United States play a multifaceted role that extends well beyond organizing sports events. According to Fegeley (2023):

I think AD stands for “All Day” and “All Duties.” I just hope that people outside of our

profession realize all the responsibilities that a high school athletic director has. It is more

than just two or three 14-hour days a week. We are responsible for the safety and

well-being of hundreds of student-athletes on a daily basis, and this includes eligibility

checks, facility maintenance, scheduling officials, planning special events, hiring

coaches, event management, community outreach, and countless other tasks. I could add

dozens of more items to this list. (as cited in Hoch, 2023, para. 11)

ADs develop comprehensive safety plans that must be meticulously documented and regularly updated to reflect changes in sports regulations and school policies (Armstrong & Stevenson, 2023). Subsequently, they oversee the implementation of these plans, verifying that all coaching staff are fully trained on the specifics of supervision, risk management, and student safety (Fowler et al., 2017; Armstrong & Stevenson, 2023).

In regard to staff management, ADs help select and train coaches and other athletic personnel (Croskey et al., 2018; Fowler et al., 2017). This responsibility encompasses more than just hiring qualified individuals; it involves continuous professional development and ascertaining that all staff meet the state and district requirements for certifications, such as CPR (Fowler et al., 2017; Armstrong & Stevenson, 2023). Athletic directors must also enforce policies around technique instruction and injury prevention, which are vital in minimizing risks associated with sports participation (Emery et al., 2006). They facilitate training sessions and meetings to discuss and reinforce these topics to coaches, emphasizing the importance of proper technique and the legal implications of negligence (Doleschal, 2006). School leaders also expect ADs to proactively communicate important information not only to coaches and staff but also to student-athletes and their parents. In Kerr and colleagues’ (2023) study about sports communication within middle schools, researchers noted that the parents had “concerns about how well policies were implemented, particularly when there was pressure to win. This included athletes feeling pressured to continue playing and thus not disclosing their injuries, officials missing illegal/foul play, and prioritizing winning over safety” (para. 30). By managing these responsibilities appropriately, ADs uphold that school sports programs are not only compliant with legal standards but also aligned with educational goals that prioritize student safety, well-being, and development.

Transition to Building-Level Leadership

As ADs assume a variety of administrative roles, they develop a highly transferable skill set to the principalship, which often leads them to explore the transition from managing sports programs to managing entire schools. ADs must work closely with principals and other administrators to match their program’s alignment with the school’s overall goals; this collaboration allows ADs to gain insight into the day-to-day operations of school management, including budgeting, staff supervision, and policy implementation (O’Brien, 2017). In many cases, ADs develop strong communication skills, ethical leadership, and business management abilities, all of which are critical for success as a school principal (DeCesare, 2017). As their experience grows, many ADs find that their administrative expertise and leadership capabilities make them well-suited for the principalship, where these same skills are in high demand (Elam, 2022).

However, ADs who make the transition to building-level administrator cite other motivation than similarity of skill set or confidence in their administrative expertise. According to Elam’s (2022) qualitative study, some districts are consolidating the role of assistant principal with athletic director to cut costs. Unfortunately, participants in Elam’s (2022) study who served in the dual AP/AD role lambasted the time lost with family, mental exhaustion, and their “extensive managerial responsibilities” (para. 36). Several external factors also factor into this particular career transition. According to Joy and Radhakrishnan (2012), career growth opportunities, increased job security, and the desire for greater influence within the school system could motivate ADs to consider building-level administrative positions. In particular, the principalship can offer more power and influence compared to the AD role, which may appeal to individuals seeking to expand their leadership footprint. Additionally, the principal position arguably comes with less physical and logistical pressure compared to the demanding nature of overseeing sports programs, especially in larger schools with competitive athletic teams. In his dissertation research, Epps (1991) explored differences between the AD role and other building-level administrators in Detroit Public Schools. He found that principals and assistant principals had high respect for their ADs compared to head coaches, and they valued business and management skills in their ADs because they understood the rigorous demands of the position.

All ADs and principals bring unique perspectives on leadership, understanding that it is integral to their roles. The studies that examine leadership style of successful ADs and principals more broadly highlight the positive effect of transformational leadership (Hobbs, 2018; Pharion, 2014); however, those that address diversity explain that “experiencing shifts in student demographics becomes increasingly complex, requiring strategy, reflection, distributed leadership, and vision” (Monogue, 2015, p. 213). Conversely, Rodin (2014) identified instructional leadership and collaborative team building as the two most important leadership skills for working with diverse populations. In Macdonald’s (2012) dissertation work, he explored the relationship between public high school athletic directors’ leadership style and the outcome on head coach behavior. He found that contrary to previous research, ADs needed to use a comprehensive leadership approach, incorporating transformational, transactional, and passive/avoidant styles, to create a significantly positive impact. These studies suggest that the leadership competencies required for both roles are complex and scarcely examined, especially regarding the transition between them.

Current Context

The purpose of this study is to provide insight into the transition from AD to building-level administrator by examining leadership characteristics and traits consistent with individuals who have made this transition. While ample research exists on the roles and responsibilities of both athletic directors and school principals (DeCesare, 2017; Judge & Judge, 2009; Mathis et al., 2014; Stier & Schneider, 2000; Young et al., 2010; Zayas, 2018) and subsequently their effect on student achievement (Karadağ et al., 2017; Waters, 2003), there is a notable gap in the literature regarding the experience, motivation, knowledge base, skills transfer, and leadership style from AD to principal. By studying these transitional components, valuable insights into the pathways and challenges involved in moving from the athletic director role to the school level administrator role can be gained.

Methods

Both qualitative and quantitative data were collected as a part of this multiple case study. Interviews were conducted with six principals from a midwestern state who have transitioned from AD to principal. The interviews were analyzed and thematically coded. All interviews were confidential. Individuals who participated were assigned pseudonyms, and all identifying characteristics were removed that could connect participants to their districts. Initial contact with participants was via email. Through email, the study was explained and consent was given.

Surveys were administered to individuals from the state who were not selected for the interview but who have made the transition from AD to school-level administrator. Interview data triangulated survey data to ensure trustworthiness.

Participant Selection

Participants were selected by first emailing the assistant director of the state’s athletic director association, requesting information for school-level administrators in that state who were previously athletic directors. The state was divided into six geographic areas by grouping state-established cooperative educational service regions. After grouping the regions of the state into six geographic areas, one individual (principal) was purposely selected from each of the six areas. This approach ensured broad representation across the state and reduced the potential for location bias or region-specific responses. All six participants were White males over the age of 40.

 Additionally, electronic surveys were emailed to all school-level administrators who were potential participants but were not selected for interviews (65 potential). A total of 43 individuals responded to the survey. Of the 43, 38 (88%) were male, and 5 (12%) were female. Most were over 40 (88%). Many (42%) were over 50. All participants were White.

Data Collection

Data were collected from two sources. Qualitative data were collected through telephone interviews with six participants. Quantitative data were collected through online surveys using Google Forms.

 Interview participants (n=6) were contacted via a telephone call and asked a set of 14 questions. Interview questions were grounded in literature and developed to gain insight into the research questions for the study. Among other questions (such as demographic information, experience, background, etc.), participants were asked, through open-ended questions, to describe their lived experiences in the AD position and compare that to their current school-level leadership role. Participants were also asked to describe and prioritize (rank order) factors that had contributed to their decision to leave the AD position and discuss internal and external factors and stressors that contributed to their decision to exit the AD position. Additionally, all participants were asked to share advice for other individuals who could be considering a transition from AD to school level administrator. All interviews were recorded, transcribed, and thematically coded using HyperResearch Software.

            Survey research was used to gather quantitative data from former athletic directors who were currently serving as school-level administrators (n=43). Survey data were used to triangulate and provide trustworthiness to qualitative data. Individuals were asked to complete an online survey consisting of 40 questions. Multi-level, ranking questions, and some open-ended questions were asked that were closely aligned to the interview questions and that informed the research questions for the study. No statistical measures were used to ensure the validity or reliability of the survey because the primary reason for the survey was to triangulate interview questions, gather demographic information, and give participants a chance to answer open-ended questions anonymously and in private. Questions began with demographic information (gender, age, and race), and continued with professional questions (job responsibilities, stressors of the positions, time management, etc.). The final question of the survey was open-ended and asked respondents to provide additional comments and/or advice for anyone considering the transition from AD to school-level leader. 

Data Analysis and Findings

            This section includes analysis of data from both the interviews and the surveys. By including both qualitative and quantitative data sources, an effort was made to provide a broad understanding of the motivations for moving from the athletic-director position to a building administrator position, while addressing the identified research questions. Rather than separate data analysis from findings, a decision was made to embed findings within the analysis section and then follow up with a brief discussion. This allows the reader to consider findings within the context of the data.

Interviews

Interview participants shared insights into their lived experiences during their time as athletic directors and as school-level administrators. Participants identified factors impacting their choice to transition from athletic director to building administrator. Based on recurring comments made throughout all interviews, a total of 15 thematic codes emerged in this study.  These codes were then divided into three main categories: a) external factors, b) internal factors, and c) stressors. Thematic codes aligned to external and internal factors as shown in Table 1. Thematic codes aligning to items causing stress in the AD role are shared and discussed later.

External Themes

            External themes are related to factors associated with the organization itself. Only the top three most-coded responses in this category are discussed.

Parental Pressure.

The external factor coded most often was that parental issues play a major factor in the decision to leave the position and pursue a building-level administrator role. Although only four of the six interview participants mentioned parental factors playing a role in their decision, the four who mentioned this did so multiple times (10 total).

When referring to parental issues causing stress and creating problems, the participants mentioned that parents get too involved in conduct violations and playing time for their children. One participant stated that most of their issues arose from “. . . conflict with parent and [athletic] code enforcement. Usually, it didn’t matter if the athlete or the parent knew they were guilty [of the infraction]. They would still fight it!”

            Another participant noted that parental problems helped make the decision to change jobs much easier: “As an AD, I was getting tired of the same parents complaining about playing time or other issues. In the school I came from, this was the main problem. We had great kids at the school. But the parents gave me troubles when it came to athletics. They made the switch that much easier to make.”

            Parental pressures and issues often came about unwarranted and unexpected. While some of the athletic directors acknowledged that they expected issues with parents to a certain extent, they also said that parents often caused problem after problem. One participant commented, “. . .parents always seemed to exceed expectations for the number of problems they can create. I swear they have nothing better to do!”

Student / Staff Issues.

The only external factor that contributed to the job change that was mentioned by all participants was that student and staff issues contributed to their decision to exit the position. All six interviews contained this response, and all participants mentioned it only once. Constantly managing students and staff is the primary role of a building administrator, which might make that higher-paying position more appealing. One participant stated, “I would spend the majority of my day dealing with student or staff issues, and I decided, I don’t get paid enough for this!” Another commented that, “There is no end to the stupid things some student athletes do. And we often involve the principal in our discussions, so I thought, I might as well [be in that position].”

Staff issues primarily involved hiring more so than staff conflict. Getting the best coaches and assistant coaches, officials, and event workers all took sufficient time. Some ADs had support in these hiring decisions but not always. One AD commented, “I can spend countless hours getting everyone to work a track meet. And that same week, I might have other events too, baseball, softball, and usually I have people hired well in advance, but some people cancel and there is a last-minute sprint to get everything covered.”

Coach Conflict.

            Lastly, one participant mentioned twice that “coaches creating problems” was a reason they transitioned away from the athletic director position. Coaches can cause stress on athletic directors by being demanding and requesting too many things, as well as being allowed to have too much control. The participant said the following about where the issues originated: “Coaches in our own school . . . the situation I came into was about coaches being able to do more than what they probably should have been allowed to. I would have coaches knocking on my door, complaining about the schedule. It wasn’t the parents for me; it was my own coaches. They were unrealistically demanding.”

Internal Themes

Internal themes are tied to the characteristics or attributes directly associated with the participants. Three prominent themes of internal factors contributed to the decision of an athletic director leaving his/her position for a building administrator position. Only the three most-coded internal themes are discussed below.

Better Hours for Family.

            The most frequently applied code (15 times) for internal themes was “better hours for family,” which was mentioned in all six interviews. Every participant mentioned that a reason they stepped away from the athletic director position was because it would benefit their family. This meant different things for each participant. One shared:

As an AD, I was [at work] 7am to 10pm some days. Long, tough hours away from family, dealing with unexpected issues or parent issues. That wasn’t fun. Day to day as a principal, I am much more sure about what I’ll be dealing with. It helps too because I have assistants [principals] who share some of the load.

Some participants wanted to spend more time with their kids and be able to see them grow:

It’s better hours for me. I had two sons that played Division III college sports. They were both in college playing; I was an AD and coach. This [job change] provided an opportunity to do something different but also better for me. I could see my kids more.

Another participant added, “It was strictly the family needs. That’s really all it was for me. I needed more time with my family. I had a seven-year-old and a two-year-old. I didn’t want to see my kids raised without a father.”

One participant mentioned that the stress of the athletic director position caused a marriage to be ruined, so a change of positions was needed to fix the relationship. “Without getting into too much personal detail, it kind of crossed into my marriage. It wasn’t doable. It tore my family and my wife at that time apart. After that I just realized it wasn’t workable.”

Upward Mobility / Increase in Pay.

Others wanted to be able to make more money. In one case, it was specifically so their spouse could stay home to raise their children:

I was a teacher, then became a stay-at-home dad. I got my masters so that I could have the ability to increase my income. I needed to make this change in my career so my wife could help raise our own kids. Making more money allowed our family to do this. Status wasn’t really a reason for me. I loved being an AD. That was my dream job. But I knew my family needs, and that led me to becoming a principal. Increase in pay and a feeling that I could contribute more ultimately led me to change roles.”

One participant commented,

The increase in pay was important. The way the [state] retirement system works came into consideration as well. It is based on your top few years of compensation. That impacts the rest of your life in retirement. So, I wanted to get those last three years’ salary as high as I could.

Increase in Power / Influence.

Only one participant made the decision to move to a school administrator position because of the desire to have a broader influence over students’ lives. Although others did mention that they felt an increased sense of impact on student learning and the educational process, one contributed the decision to having broader influence, stating. “For me, it was a desire to make change in kids’ lives. I felt as a coach I impacted my players, but as an AD, I didn’t have that direct impact. As a principal, I indirectly influence their educational experience every day.”

Stressors

            As codes were applied to participant interviews, stress became a recurring theme. So much so, that the decision was made to address it separately. This decision was in part because many of the stressors present in participant perceptions are also present in the literature regarding school level administrative leadership. Therefore, when making a decision regarding transition to school level administration, a current AD could reflect on these individual stressors to compare their experience to that of the participants of this study.

            Worthy of notice is that two of the six participants shared that they had multiple responsibilities while they served as an AD. One was an assistant principal, and another was a teacher. Undoubtedly, wearing multiple hats results in multiple sources of stress. The participant who was also a teacher shared that there was more structure in the day as an AD than in the current role of building administrator:

My day as a school administrator is a little different because I’m no longer teaching. I taught as an AD, and now I don’t. My days are less structured. More contact with staff and parents now. I work with the community now. When I was an AD, it was more structured and I was dealing with scheduling and things like that. Now there are very few days that are structured. Even this [interview] could’ve been interrupted. Things came up as an AD, but not in the same sense as it is now.

Another participant, however, was in a unique situation in that the individual was in a dual role of AD and assistant principal. Although their comments were coded, it is worth noting the unique circumstance. This participant shared:

The district in which I was AD I was also an AP [assistant principal]. It was an experiment of the district. I was able to do both and kind of see what a principal position would be like, but it was like having two jobs and it was a nightmare! It was for personal and family health need that I had to make a change. That struck me the most because I was AP for a year before becoming principal. I needed to do one job instead of two jobs. It was just too much.

The position of AD is one that is rich with stressful situations daily. As participants shared their perceptions, several thematic codes developed and were applied. The codes applied most often can be found in Table 2.

Information gathered from the six interviews provided insight about the many stressors of both the athletic director and, to a degree, principal positions because several participants discussed similarities and differences between the two positions. While the stressors of the athletic director position are said by some to lead to them transitioning out of the position, the stressors are not necessarily exclusive to that position. Nonetheless, the five stressors shared most during interviews are reviewed in order of the number of participants sharing the stressor.

Teacher and Student Issues.

Not surprisingly, stress associated with teacher and student issues was most common among participant responses. As shown earlier, all participants commented that this concern contributed to their decision to transition to the school level administrator position. Likewise, all participants listed these issues as one of the most stressful aspects of their jobs. One participant shared, “It gets old fast. Day in and day out. If it were just the students, it wouldn’t be as bad.” Another commented, “Teachers often question eligibility. When grades come out, stress goes up!”

Current administrators often shared that these concerns were consistent across positions. One shared, “It’s the usual suspects: Parents, teachers, students [where stress originates].” Another participant summed it up this way: “It’s people that are unwilling to pull along with, and are trying to even pull against [you]. Students and my family cause stress. I cause my own stress. But the adults who don’t want to change are what cause the most stress.”

Unexpected Problems.

It appears that, despite many hours of planning, unexpected problems are a regular occurrence in the lives of contemporary ADs. Five participants commented on unexpected problems contributing to their stress. The nature of the unexpected problems varied but often involved weather. One participant shared a personal story: “You’re sitting there dealing with a situation about kids smoking pot, and you have to deal with that and investigate the situation, but then all of a sudden it starts to rain. You’ve got baseball and soccer and softball games or practices going on. Now what happens?” Another shared, “You want to be able to manage the conflict in a way that best represents the school. And there’s a lot of problem solving. You’re troubleshooting with whatever comes up. Always putting out fires. And you never know where they will start on a given day, or a given hour.”

Managing Conflict.

Managing conflict appears to be a regular stressor for participants. Four participants commented many times (10 total) on the importance of managing conflict in their role. One participant shared, “I’m just always dealing with conflict. That’s just the nature of the job. I can’t lie to you, but that’s a lot of what it is.” Comparing the AD to the principalship, another shared,

In this job [school administrator], you can never make everyone happy. It’s the nature of the position sometimes. It was the same as AD. If a student athlete gets suspended, the parent, and sometimes the coach, are unhappy. When grades come out, I swear that some parents think I assign their kids’ grades!

A few of the participants shared concern that they did the AD job with very little assistance, making the stress something that isn’t shared. One participant stated, “At my school the AD has such a wide variety of responsibilities because you’re the only one working to get this stuff done. Everyone wants it done, and many complain when it isn’t.”

Parent Pressure.

Another source of stress externalized as parental pressure. Parent issues was the most-coded response regarding the decision to transition to a building level administrator role, and likewise, it was coded ten times in the responses of four participants as a source of stress. One participant shared only this, “Definitely the parents [causing the most stress]. Not a question about that one. Not much more to say than that.”

One participant added that code enforcement (ensuring students follow the athletic code) and parent pressure often go hand in hand, “Conflict with parents and code enforcement. That I think were the most stressful situations. They often happen at the same time.”

Another participant felt that the experience of being an AD helped in preparation for dealing with similar situations as a building administrator, sharing, “As an AD, I dealt with a lot of parent issues. This helped me get ready for problems that I would get as a principal. … I got comfortable with most things that would come my way as an AD, and this helped me when I took the principal job.”

Scheduling Conflicts.

Though hand-in-hand with unexpected problems, the sheer volume of scheduling conflicts and issues appears to cause stress for ADs. One participant shared, “Scheduling and transportation are sources of stress. Just trying to get everyone everywhere they need to be.” Another commented on the difference between the current building level administrator position and the previous AD position, sharing, “You really spend more time with people as a principal. As an AD, I spent a lot more time scheduling officials and those types of things.”

Similar to comments regarding unexpected problems, weather seems to impact stress regarding scheduling conflicts for some ADs. One stated, “Scheduling causes a lot of stress. Spring sports are tough. The weather controls everything in [state]. That always is the hardest and causes stress.”

Survey Data

            Survey data were gathered through online surveys of individuals who met criteria for inclusion in the qualitative section of the study but who were not selected as participants (n=43). Survey questions were designed to triangulate and provide validity to qualitative data, often providing opportunity for ranking of criteria related to different aspects of the positions.

Demographics

            To gain better understanding of the survey respondents, demographic data were first gathered. Of the 43 respondents, 38 identified as male (88.4%) with the remaining 5 (11.6%) identifying as female. The same percentage (88.4%) were over 40 years of age, with 17 (39.5%) over the age of 50. All but one of the respondents (97.6%) worked as an AD in schools with enrollment of fewer than 2,000 pupils, and 26 respondents (60.5%) worked in schools with enrollment of 1,000 or fewer students. As building level administrators, 38 (88.4%) had worked in schools with 2,000 or fewer students, and 28 (65.1%) worked in schools of 1,000 or fewer students. Not surprisingly, based on student enrollment, most respondents categorized their schools (while ADs) as rural (48.8%) or rural and remote (32.6%). While serving as building-level administrators, 39.5% categorized their schools as rural and 37.2% as rural and remote. The distinction between rural and rural and remote was based on location and distance to an urban center. A location could still be characterized as rural and be within 25 miles of an urban center, while rural and remote required it to be both small and outside of a 25 radius of an urban center. As mentioned previously, all survey respondents identified as White / Caucasian.

Career Path

To provide a better view of the survey respondents, several questions asked about the career path the building level administrator had taken. Nearly all the survey respondents were head principals (97.7%), with one respondent (2.3%) also holding a combined position of building principal and district administrator / superintendent. Most had been in their current position for 1-5 years (37.2%) or 6-10 years (32.6%).

With regard to which position survey respondents held directly before accepting the building level administrator position, a surprising number of respondents (17 or 39.5%) held a combined position of assistant principal and athletic director, while 34.9% were solely athletic directors (23.3%) or activities directors (11.6%). Five individuals (11.6%) were in a combined role of dean of students and athletic/ activities director. Thus, roughly half of the respondents (22 of 43) were in a combined role of assistant principal / dean of students and athletic / activities director before transitioning to the head principal role.

            When respondents selected (from a list) all the positions they had held in their careers, not surprisingly 100% had been teachers. Nearly all respondents also had coaching experience, with 88.4% having served as a varsity head coach. A complete list of responses is shown in Figure 1.

Perceptions

Survey questions (non-demographic or career path) were asked in two distinct parts so the respondents could answer both for their time as an athletic director, as well as their time as a building level administrator. These questions were designed to gather information in four main areas: a) management perceptions, b) job stress, c) leadership preparation, and d) job responsibilities. Each area is examined further below.

Management Perceptions.

            Regarding perceptions of managerial responsibilities of both the AD and school level administrator positions, respondents were asked four questions regarding a predetermined list of managerial aspects of the positions. The list of seven managerial responsibilities was developed from contemporary literature. The seven responsibilities included were:

  1. Managing students (including athletic eligibility)
  2. Managing parents / community (including booster clubs)
  3. Managing staff (including coaches, referees, event workers, etc.)
  4. Managing finances (budgets)
  5. Managing facilities (scheduling gymnasiums / facilities, locking up after events, etc.)
  6. Managing events (including scheduling, execution, and transportation to/from)
  7. Managing safety (including planning and drills)

Respondents were also provided an “other” category, in which they could write in responsibilities that were not available in the provided list.

            When asked to select which responsibility took up most of their time in the AD role, the top responses were managing events (58.1%), managing staff (26.5%), and a three-way tie for third between managing parents / community, managing students, and managing facilities (all at 4.7%). This contrasted with the responses regarding the question about what should take up most of their time. When answering that question, managing staff was first at 53.5%, followed by managing events (23.3%) and managing students (20.9%). It appeared that ADs spent more of their time than they would like on managing events, but for the most part, the top categories were consistent.

            Regarding the building level administrator position, respondents ranked their responsibilities differently than they did in their AD role. School level administrators ranked managing students as the number one responsibility that consumed their time (46.5%), with managing staff a close second (44.2%). No other category received more than one selection. As administrators though, respondents overwhelmingly felt that most of their time should be spent managing staff (69.8%), while managing students also received several selections (20.9%). Interestingly, more than one school level administrator took the opportunity to write in other options, which included teaching and learning, educational leadership of staff, and professional development (each written in one time).

Job Stress.

Regarding job stress in each position, respondents were provided a list of potential areas of stress for each position. They were then asked to rank (1-8) each item in relation to the amount of perceived stress it caused in each position (AD and building level administrator). The list of job stress items was developed from contemporary literature regarding stress in the AD and school administrator positions. The list stayed consistent between both positions so that a better comparison could be made; however, respondents did have an option to add an “other” and assign it a rank order.

The potential areas of job stress used for this study:

  1. Having too heavy of a workload to finish during a normal workday
  2. Being interrupted frequently
  3. Imposing excessively high expectations on self
  4. Feeling that meetings take up too much time
  5. Trying to resolve parent/school conflicts
  6. Supervising and coordinating tasks of many people
  7. Administering student discipline

For athletic directors, the stressor selected as number one most often (18 times) was #1 Having too heavy of a workload to finish during a normal workday. Subsequently, thirty-four respondents ranked that stressor in their top three. With regards to other stressors ranked most often in the top three, #3 Imposing excessively high expectations on self, was ranked 27 times in the top three, while #2 Being interrupted frequently, saw 22 responses in the top three.

As school level administrators, respondents also selected #1 (too heavy of a workload) as their top stressor most often (12 times), with 25 ranking that stressor in their top three. The stressor that was ranked in the top three most often was #3 (imposing high expectations on self), which was selected 25 times and was ranked first by nine respondents. Unlike their responses regarding the AD position, the third most ranked (in top three) stressors showed a tie between #8 Administering student discipline and #6 Having to make decisions that affect the lives of people you know, each being ranked in the top three 23 times. Thus, there appears to be similarities with regards to stressors across both the AD and school administrator role, but it appears that handling student discipline and making important life-impacting decisions more heavily weighs on school administrators.

Leadership Preparation.

The first research question for this study asked what leadership skills or traits required of the AD position assist in transitioning to the building-level administrator position. Although interviews provided an opportunity for participants to discuss this transition and the salient leadership skills and traits, the survey more clearly asked respondents to provide weight to different skills, thus ranking them.

One question on the survey provided a list of eight skill / traits and asked respondents to rank them in order one through eight in the order of importance that the skill / trail helped them prepare to be a school-level administrator. The list was generated from contemporary literature with regard to important skills that are relevant to both athletic administrators and school-level administrators:

  1. Overseeing school events
  2. Working with students
  3. Working with faculty and school staff (including supervising coaches)
  4. Working with parents and/ or community members
  5. Working with booster clubs or support organizations
  6. Managing conflict
  7. Solving problems
  8. Managing operational / organizational tasks (handbooks, budgets, scheduling, officials, etc.)

Athletic directors overwhelmingly selected #7 Solving problems as the skill / trait that helped them best prepare for the role of school-level administrator. This skill / trait was ranked number one by 18 respondents and ranked number two by another eight. Overall, this skill /trait was ranked in the top three by 30 individuals (70%). This supports data from the interviews where four participants commented 10 times on the stress caused by managing conflict in the role of AD. Survey data support that by being subjected to the stress associated with managing conflict, athletic administrators build the necessary skills to handle stressful situations, which applies directly to their success as building-level administrators.

The skill / trait that was next in importance was #3 Working with faculty and school staff (including supervising coaches). This skill was ranked number one by 13 respondents, and it was ranked in the top three by 29 individuals (67%). From interview data, “student and staff issues” was a highly ranked external factor in the decision to change from an AD role to building-level administrator. Further, “teacher and student” issues was listed as a source of stress by all participants in the interviews.

Also ranked in the top three skills / traits by many respondents was #6 Managing conflict. This was only selected as number one by eight individuals, but it was ranked in the top three by 30 respondents (70%). Consistent with interview data, managing conflict was mentioned as a source of stress by four participants a total of 10 times. Furthermore, an external factor that contributed to the decision to transition to building-level administrator was often conflict related, specifically including conflict with coaches.        

Job Responsibilities.

Regarding perceptions of job responsibilities of both the AD and school-level administrator positions, respondents were given a list of 12 common job responsibilities consistent with the literature on athletic director and/or building-level administrator positions. Respondents were then asked to rate each responsibility on a scale of 1 to 5, with 5 being “very important” and 1 being “unimportant.” A rank-ordered list for both roles, based on the mean score for each responsibility, is shown in Table 3.

For the athletic director position, the two job responsibilities that scored the highest are “setting ethical standards in the school” (mean of 4.53) and “working with the community.” For reference, these two job responsibilities had mean scores of 4.84 and 4.7 respectively for the building-level administrator position. According to these data, as building-level administrators, those job responsibilities are deemed to be more important than they are for athletic directors.

The highest mean scores for the building-level administrator responsibilities are “hiring staff” (mean of 4.91) and “managing or supervising staff” (mean of 4.88), suggesting that these two job responsibilities are deemed to be the most important according to the building-level administrators. The largest difference of scores between the two positions is for the job responsibility of policy development. Building-level administrators deemed this to be a more important job responsibility for their current role than when they were athletic directors. The difference in mean scores is .7, as it averaged to be a 3.65 for athletic directors and a 4.35 for principals.

The job responsibility that was scored lowest for both job positions is “Fundraising.” This job responsibility had a mean score of 3.26 for athletic directors and a mean score of 2.58 for building-level administrators. These data suggest that both positions did not find importance in focus on fundraising. This is somewhat inconsistent with literature related to athletic administrators, as often, the job entails raising funds for the athletic programs. However, at the high school level, this is often handled by booster clubs, and although the AD oversees the booster club, he or she is often not directly involved in the fund-raising efforts.

Discussion

Building-level administrators and athletic directors have similar job responsibilities in terms of working with students, staff, and parents. Both have similar stressors, which include dealing with parental complaints, violations of the school code of conduct, and handling issues that arise from the staff, as well as issues that pop up randomly on a day-to-day basis. There is little doubt that work done as an AD helps prepare individuals for the building-level administrator role. In fact, over half of the survey respondents (51%) had been in a combined role of either assistant principal or dean of students and athletic director before transitioning to the building-level administrator role. Undoubtedly, crossover existed between these two roles, and the distinction between which hat one was wearing during a given situation became blurry. However, important to this study is that these two roles assume similar levels of stress and handle similar situations, thus honing leadership skills that will translate.

Similarities and consistencies across both the interview and survey data suggest that the AD role helps prepare building-level leaders. The three areas highlighted in the study included: a) comparable stressors, b) comparable leadership skills or tasks, and c) comparable job responsibilities.

Data suggest that ADs and building-level administrators experience similar stressors and respond to similar origins of stress. For example, school personnel (e.g., coaches, teachers) with unique issues demand time of both the AD and building-level administrator. Handling the stressors requires ADs to build necessary skills, which transfer to other leadership roles. These included problem solving, working with faculty and school staff, and managing conflict. Likewise, although ADs scored some job responsibilities differently than did building-level administrators, consistencies still arose within the top five responsibilities, including the importance of hiring staff, setting ethical standards, and working with the community.

Interview data shared primary sources of stress for athletic directors, and these data supported reasons cited for transitioning out of the AD position. For example, some participants felt strongly that they were undergoing substantial pressure from parents, student and staff issues, and conflicts with coaches, and these stressors contributed to their decision to leave the position. In some instances, participants made it clear that they felt they “might as well” move into a building-level administrator position because they were already undergoing parallel levels of stress or pressure. Even others noted that their level of stress and pressure went down after they transitioned to a building-level administrator position, and the time spent with their families went up. In fact, better hours for their family created a clear internal pressure that contributed to the decision to transition. Athletic directors felt that they put in many hours at school away from their family and that they would actually be able to spend more time with their families after becoming building-level administrators.

One final discussion point worthy of mention is that all six of the interview participants became building-level administrators in the same school district in which they were an athletic directors. The decision to transition was influenced by many factors, including the desire to spend more time with family, make more money for similar levels of stress, and be able to influence educational change on a larger scale.

Advice from Interview Participants

            Though not a specific research question, it seems fitting to conclude with advice from the six individual interview participants. Each of these individuals agreed to participate in a telephone interview to share their perceptions of both roles, and the interviews concluded with a final open-ended question asking these current building-level administrators what advice they would offer an individual who is considering transitioning from an AD position to school administrator. These bits of advice can further assist someone who might be contemplating the same transition.

Each participant’s response is shown below.

 Participant 1:

Take an opportunity to sit down with someone who has gone through it. The more people you can get input from will help you. I don’t think I came into this job knowing exactly what I was getting into, but I thought I could easily take it on, and I probably undermined some of the challenges that came with switching roles. Be open minded and be willing to listen to others. You’re going to make mistakes, but you’ve just got to be ready to respond to them.

Participant 2:

I think you have to be prepared to make the call. Now the buck is at your desk. You have to make decisions that you didn’t have to before. You’re going to be involved in more political types of situations. More meetings. Some of those meetings are about things you aren’t passionate about, but you still have to go.

Participant 3:

I would say to make sure you understand the demands of the positions are different. The principal position will take you away from the love of athletics. If that’s why you were an AD, you won’t appreciate it. You can still go watch events, but you aren’t going to be just focusing on that. Eyes are on you in a different way. Your responsibilities are different now. A lot of people love athletics, and that’s why they do the AD spot. The principal and administrative role is just different now.

Participant 4:

The buck stops with you. Be ready to deal with larger problems that mean much more than athletics. You’ve got to be able to work under pressure, and you’ve got to be a good leader to get people to do what you want. I also think it’s important to be open to change yourself and take advice from others. Listen to others.

Participant 5:

I think one thing that a lot of people don’t understand is that an AD has a lot of nights, but a principal has them as well, plus more. Principals have music concerts, plays, everything that goes on. ADs don’t have all that. You have to have an understanding family. My wife always tells me that I picked this. I’m sick and tired of a play on the fourth night in a row. The sacrifices your family has to make are huge. I don’t live near school, so it’s tough on my family. You’ve got to be willing to get out of bed and be present. It’s a lot, but I would do it all over again.

Participant 6:

I think you have to ask yourself what is it that you exactly want to do,  and why would you leave the AD role for a principal position. Is it that you are motivated and really want to be associated with leading a building? Or is it about getting out of the AD role? If you think it’s going to be easier as principal, I don’t know if that was correct or should be your reason. If you don’t have interest in dealing with data or student academic achievement, [don’t make the transition]. You know, my spouse is an AD and she doesn’t always like it, but she has no desire to be a principal. She loves her job, but there’s just moments when she doesn’t like it. It’s great when it’s tournament time. On a day like today when there’s no events, it’s not very glamorous. Being a building principal, you know, there’s not a whole lot of glamorous stuff. You get to prep for graduation and scholarship night, but it’s not the same. You’ve got to be certain about why you’re doing it. If it’s for the wrong reasons, you’re not going to be happy.

References

Armstrong, D. & Stevenson, Z. (2023, February 9). Essential legal duties for athletic directors and coaching staff. National Federation of State High School Associations (NFHS). https://www.nfhs.org/articles/essential-legal-duties-for-athletics-directors-and-coaching-staff/

Baghurst, T., Carter, D., Jayne, C., Murray, E. (2014). Leadership and management skills of junior college athletic directors. The Sport Journal. Retrieved from http://thesportjournal.org/article/leadership-and-management-skills-of-junior-college-athletic-directors/

Blackburn, M. L., Forsyth, E., Olson, J. R., & Whitehead, B. (Eds.). (2013). NIAAA’s guide to interscholastic athletic administration. Human Kinetics.

Conner, C. J. (2020). Role retreatism of social studies teacher-coaches: An unequal balancing act. The Journal of Social Studies Research, 44(1), 185-194. https://doi.org/10.1016/j.jssr.2019.01.005

Croskrey, J. E., Fowler, B., & Smith, J. (2018). Career and educational experiences of high school athletic directors: A multi-level perspective. The Sport Journal, 20, 1–14. Retrieved from http://thesportjournal.org/article/career-and-educational-experiences-of-high-school-athletic-directors-a-multi-level-perspective/

Decesare, T. (2017). Functions, Practices and Leadership Responsibilities of High School Athletic Directors in the United States. ProQuest Dissertations Publishing. Retrieved from http://search.proquest.com/docview/1973129428

Doleschal, J. K. (2006). Managing risk in interscholastic athletic programs: 14 legal duties of care. Marq. Sports L. Rev., 17, 295.

Elam, N. P. (2022). Twice as Tough: Perspectives of High School Athletic Directors Serving as Assistant Principals. The Sport Journal. https://thesportjournal.org/article/twice-as-tough- perspectives-of-high-school-athletic-directors-serving-as-assistant-principals/

Emery, C. A., Hagel, B., & Morrongiello, B. A. (2006). Injury prevention in child and adolescent sport: Whose responsibility is it? Clinical Journal of Sport Medicine, 16(6), 514-521. http://doi.org/10.1097/01.jsm.0000251179.90840.58

Epps, M., & Hall, B. (1991). The importance of the role of Detroit’s high school athletic directors as perceived by principals, assistant principals, athletic directors, and head coaches. ProQuest Dissertations Publishing. Retrieved from http://search.proquest.com/docview/304003193/

Fowler, B., Smith, J., & Croskrey, J. E. (2017). Career and educational experiences of high school athletic directors: A multi-level perspective. Sport Journal, 1(1), 1-15. https://thesportjournal.org/article/career-and-educational-experiencesof-high-school-athletic-directors-a-multi-level-perspective/

Furr, J. (2015, July 16). Athletic director job turnover is alarming. Telegraph Forum. https://www.bucyrustelegraphforum.com/story/sports/high-school/2015/07/16/athletic-director-job-turnover-alarming/30263779/

Green, G., & Reese, S. A. (2006). Job satisfaction among high school athletic administrators. Education, 127(2), 318-320. Retrieved from http://search.proquest.com/docview/204254139

Hobbs, C. (2018). Transform yourself: Literature-based review of transformational leadership behaviors and practical applications for high school athletic administrators. Sport Journal, 1.

Hoch, D. (2014). A.D.ministration: The evolving athletic director position. Coach and AD, 22(1), 1–6. https://coachad.com/articles/administration-evolvinghigh-school

-athletic-director-position/

Hoch, D. (2023, April 12). What is a typical day like for a high school athletic administrator?

National Interscholastic Athletic Administrators Association.

https://www.nfhs.org/articles/what-is-a-typical-day-like-for-a-high-school-athletic-admini strator/#:~:text=The%20fields%20or%20courts%20have,have%20to%20be%20scheduled%3B%20and

Joy, J., & Radhakrisknan, R. (2012). Changing Jobs: Influencing Factors. SCMS Journal of Indian Management, 9(1), 59–68. Retrieved from http://search.proquest.com/docview/1536043892/

Judge, L., & Judge, I. (2009). Understanding the Occupational Stress of Interscholastic Athletic Directors. ICHPER-SD Journal of Research, 4(2), 37–SD Journal of Research, 2009, Vol.4(2), p.37–44.

Karadağ, E., Bektaş, F., Çoğaltay, N., & Yalçın, M. (2017). The effect of educational leadership on students’ achievement. In E. Karadağ (Ed.), The factors effecting student achievement (pp. 11-33). Springer, Cham. https://doi.org/10.1007/978-3-319-56083-0_2

 Kerr, Z. Y., Gildner, P., Parker, S. K., Kostogiannes, V., Callahan, C. E., Nedimyer, A. K., Kossman, M. K., Chandran, A., & Register-Mihalik, J. K. (2023). Sport culture and communication among middle school athletes, parents, and staff: A qualitative study. PLOS ONE, 18(3). https://doi.org/10.1371/journal.pone.0282252

Konukman, F., Agbuĝa, B., Erdoĝan, Ş., Zorba, E., Demirhan, G., & Yilmaz, I. (2010). Teacher-coach role conflict in school-based physical education in USA: A literature review and suggestions for the future. Biomedical Human Kinetics, 2(2010), 19-24.

Lindsay, A., Hack, D., & Bae, J. (2024). Understanding the modern athletic director: Investigating the roles and preparedness of New Jersey high school ADs. International Journal of Physical Education, Sports and Health, 11(2), 11-18. https://www.kheljournal.com/archives/2024/vol11issue2/PartA/11-1-73-499.pdf

Macdonald, J., Esch, T., Li, W., & Sachar, M. (2012). A quantitative examination of leadership styles of athletic directors and coaches’ leadership outcomes in Massachusetts. ProQuest Dissertations Publishing. Retrieved from http://search.proquest.com/docview/1095524780/

Mathis, D., Thompson, D., Garza, E., Smith, P., & Trevino, J. (2014). School leadership: Implementation of effective leadership practices by four successful high school principals. ProQuest Dissertations Publishing. Retrieved from http://search.proquest.com/docview/1650640211/

Monogue, D., Frattura, E., Irby, D., Joynt, T., Reed, L., & Wallace, L. (2015). Changing Student Demographics and Suburban School Leadership. ProQuest Dissertations Publishing. Retrieved from http://search.proquest.com/docview/1697563106/

NFHS High School Today. (2023). Strategies to reduce turnover of athletic directors. Tennessee Secondary School Athletic Association. https://tssaa.org/library/strategies-to-reduce-turnover-of-athletic-directors

O’Brien, R. (2017, August 7). Building the principal/athletic director relationship. Coach & AD. https://coachad.com/articles/the-principal-ad-relationship/

Pharion, J. (2014). Transformational leadership in coaching. ProQuest Dissertations Publishing. http://search.proquest.com/docview/1649225897/

Ponomareva, G. (2015). What successful school principals do and what unsuccessful ones fail to do. Russian Education & Society. 57(1), 36–47. https://doi.org/10.1080/10609393.2015.1012022

Ray, T. J. (2010). High school athletic directors: An examination of the role, realities and career progressions (Order No. 3429071). https://proxy.lib.utc.edu/login?url=https://www. proquest.com/dissertations-theses/high-school-athletic-directors-examination-role/docview/762503757/se-2

Richards, K. A., Hemphill, M. A., & Templin, T. J. (2018). Personal and contextual factors related to teachers’ experience with stress and burnout. Teachers and Teaching, 24(7), 768–787. https://doi.org/10.1080/13540602.2018.1476337

Rodin, J., Burke, P., Burke, P., Houseman, K., Lang, B., & Nash, P. (2014). Principal leadership characteristics at high achieving, predominantly minority schools. ProQuest Dissertations Publishing. Retrieved from http://search.proquest.com/docview/1617518712/

Sisley, B. L., & Steigelman, G. (1994). From coach to athletic director: A leadership development program for women. Journal of Physical Education, Recreation & Dance, 65(8), 62–64. https://doi.org/10.1080/07303084.1994.10606987

Smith, J., Bailey, R. L., Evans, J., Elliott, L., & Allen, T. (2023). Understanding legal duties: Are high school athletic directors properly prepared? Journal of Legal Aspects of Sport, 33(2). https://doi.org/10.18060/27462

Stier, W. F., & Schneider, R. C. (2000). What High School Principals Expect of their Athletics Directors: A National Investigation. Journal of Physical Education, Recreation & Dance,71(8), 45-49. doi:10.1080/07303084.2000.10605191

Waters, T. (2003). Balanced leadership: what 30 years of research tells us about the effect of leadership on student achievement. Mid-continent Research for Education and Learning. Retrieved from https://eric.ed.gov/?id=ED481972

Whisenant, W., Lee, D. L., & Dees, W. (2015). Role Congruity Theory: Perceptions of Fairness and Sexism in Sport Management. Public Organization Review, 15(4), 475–485. https://doi.org/10.1007/s11115-014-0281-z

Young, J., Edmonson, S., & Slate, J. R. (2010). High school athletic directors and educational leadership traits: A conceptual analysis of the literature. International Journal of Educational Leadership Preparation, 5(2), 1-15.

Zayas, R., Seidler, T., Hushman, G., Lombardi, R., & Scott, D. (2018). Examination of the impact interscholastic athletics has on participating student-athletes from the perspective of the high school principal, athletic director and school counselor. ProQuest Dissertations Publishing. Retrieved from http://search.proquest.com/docview/2088448617/

2025-05-20T15:27:15-05:00May 16th, 2025|Contemporary Sports Issues, Leadership, Sports Coaching, Sports Management|Comments Off on Transitioning from High School Athletic Director to School Level Administrator: Leadership Considerations

Financial Budgets of Collegiate Athletic Training in South Carolina: A five-year review

Authors: Bradley, Robert & Bruce, Scott L.

College of Nursing and Health Professions, Arkansas State University

Corresponding Author:

Robert Bradley, EdD, LAT, ATC
PO Box 910
Arkansas State University, AR. 72467
[email protected]
870-972-3766

Robert Bradley is the program director of the master of athletic training program at Arkansas State University. He is an assistant professor in the College of Nursing and Health Professions and the curriculum coordinator for the Arkansas Athletic Trainers Association.

Scott L. Bruce is a research faculty member for the master of athletic training program at Arkansas State University. He is an assistant dean for research and an associate professor in the College of Nursing and Health Professions

Financial Budgets of Collegiate Athletic Training in South Carolina: A five-year review

ABSTRACT

Purpose: To compare financial patterns of collegiate athletic training budgets in South Carolina over a five-year span in order to determine if athletic training budgets meet or exceed changes in national economic trends and university athletic spending.


Methods: This longitudinal study of South Carolina colleges and universities to determine if gaps or excesses in the athletic training budgets demonstrate a trend that could be affecting the level of care. Additionally, to compare the change in resources and spending with inflation, college athletic department spending and medical spending per athlete and then provide the data on the patterns of collegiate athletic training financial resources to inform college athletic trainers on the trends over time. We mailed surveys to head athletic trainers or athletic directors at the thirty-two institutions that host intercollegiate athletics in South Carolina then compared the data to the 2014-2015 data already recorded.


Results: Ten schools returned surveys (N=10) for a 31% return rate. All athletic training budgets grew at a rate slightly higher rate (1.8%) than the annual inflation rate of 1.6%. Comparatively for the same five-year span, the average athletic department budget growth exceeded 7.8%. Spending for athletic training salaries increased by 20% to an average of $43,800. Total spending on or for athletic training costs rose from $307,438 in 2014 to $335,260 in 2018-2019. Combined with the total number of student-athletes to care for, athletic training spending average increased from $894 to $1119 spent per student-athlete in 2019.


Conclusion: Collegiate athletic training budgets are increasing over time slightly lower than the cost of inflation and much lower than the overall athletic department spending. Athletic training salaries are increasing over time. Athletic training budgets do outpace inflation but fails to match the overall growth of athletic department budgetary increases.
Application in Sport: Financial resources for athletic training at the collegiate level need to match the spending behaviors of the overall parent athletic department to provide adequate medical care to intercollegiate athletes. Failure to understand the patterns of change to an athletic training budget may place the ability of athletic trainers to care for student-athletes in jeopardy.


Key Words: budget, college athletic training, financial resources, salaries, spending

(more…)
2023-03-17T16:08:29-05:00March 17th, 2023|Leadership, Sports Management|Comments Off on Financial Budgets of Collegiate Athletic Training in South Carolina: A five-year review
Go to Top