The Novelty of New Stadiums: Evidence from 40 Years in Major League Baseball 

Authors: Richard Flight1 and Mark Mitchell2

Mark Mitchell, DBA

Professor of Marketing

Associate Dean, Wall College of Business

NCAA Faculty Athletics Representative (FAR)

Coastal Carolina University

P. O. Box 261954

Conway, SC 29528

[email protected]

(843) 349-2392

Richard Flight, PhD is Associate Professor of Marketing at Coastal Carolina University in Conway, SC. He previously worked in minor league baseball with the Memphis Redbirds and Birmingham Barons as well as Division I college athletics at Samford University.

Mark Mitchell, DBA is Professor of Marketing at Coastal Carolina University in Conway, SC. He has served for 10 years as the NCAA Faculty Athletics Representative (FAR). He has conducted much research on minor league sports.

The Novelty of New Stadiums: Evidence from 40 Years in Major League Baseball

ABSTRACT

Purpose: The purpose of this study is to advance a new model to estimate the stadium novelty effect for newly-built Major League Baseball (MLB) stadiums over the last 40 years. Unlike prior studies that use nominal annual attendance data, this study uses marginal attendance change to capture the impact new stadiums have on attendance when mitigating (or controlling for) the impact that team performance has on attendance.

Methods: The incidence of the construction of new MLB stadiums is identified over a 40+ year period. Using a difference-in-differences (DiD) method, a base attendance model is estimated. Then, the new stadium construction observations are added to capture the effect they have on predicted attendance. Unique to this study, marginal change in attendance is used rather than change in (absolute) nominal attendance. Year-over-year percentage change in attendance helps nullify key deficiencies in prior studies such as stadium size disparities and variations in market size. Additionally, this research combines the effects of extensive team performance variables and player salaries to control for non-stadium externalities which also impact attendance.

Results: There have been 23 new MLB stadiums built from 1980-2023. Stadiums for expansion teams or team relocations are not included in this study. Collectively, the MLB teams that built new stadiums see, on average, a 29.6% increase in attendance during the first year in the new stadium with effects lasting up to 21 years. When controlling for other factors (player salaries, winning percentage and other team statistics) the novelty effect is significant (b = .216) in multiple regression analysis.

Conclusion: Teams that build new baseball stadiums can expect an increase in attendance when controlling for team performance and player salaries. This effect holds even while some new stadiums were purposefully built to have fewer fans and offer a ‘closer-to-game’ fan experience. In other cases, the addition of luxury boxes reduced the number of available seats but added a class of seats that demand a premium price from consumers. This strategy allowed teams to cultivate new fans and new revenue streams for their teams.

Application in Sport: A baseball stadium is a fixed asset with an anticipated lifespan. No stadium lasts forever in its original form. At some point, a stadium must be remodeled or replaced to meet the needs of current consumers or fans may shy away from attending games. New stadiums can help grow attendance, diversify the fan base, and develop new revenue streams to help teams compete financially in Major League Baseball.

Key Words: stadium novelty effect; Major League Baseball; attendance; new stadium construction; franchise expansion

The Novelty of New Stadiums: Evidence from 40 Years in Major League Baseball

INTRODUCTION

Ballpark managers, team owners, and city officials often cite lagging attendance as the prime reason to build new sport facilities and stadiums. They argue an out-of-date stadium discourages fan attendance and recommend the investment in new-and-improved stadiums. A key goal associated with building a new facility is revenue growth by increasing fan attendance with the promise of an enhanced fan experience, often with an expanded premium ticket and entertainment options. These new facilities often offer operating efficiencies with the use of new technology to lower operating costs and boost profit margins for stadium operators (28).

Historically, when a team builds a new stadium their observed attendance goes up (35). Anecdotally, a new facility brings greater enthusiasm from not only the fan base but also from media partners, advertisers, and players that see grandeur in the new stadium. For example, the Atlanta Braves moved from Turner Field (located in downtown Atlanta) to then-named SunTrust Park (located in the northern suburbs) in 2017. Total attendance for the first season at Sun Trust Park increased approximately 24% over the final season at Turner Field. The new stadium offered a comprehensive gameday experience including dining and shopping that went beyond a traditional baseball game. Further, the suburban location was more accessible to many fans, including expanded parking facilities (32). Though fan attendance can sometimes decline after the opening year (38), the average attendance per game in Atlanta’s SunTrust Park actually increased in year two and year three (3).

The purpose of this study is to advance a new method to estimate the Stadium Novelty Effect in Major League Baseball by examining newly-built MLB stadiums and the associated attendance figures over a 40+ year period. First, a brief description of relevant literature is provided. Next, the study methods are presented as well as the data analysis plan. Finally, the findings are presented and the implications for baseball team owners and communities are advanced.

THE IMPACT OF NEW STADIUMS IN SPORT

Fan Attendance and the Fan Experience

The phenomenon of attributing increased fan attendance to the introduction of a new stadium is known as the Stadium Novelty Effect (2, 7, 8, 14, 18, 27). This effect, also referred to as the Honeymoon Effect (4), has been observed in numerous applications including: European soccer (10, 35); baseball (6); basketball (5); and hockey (18).

There is broad agreement that attendance tends to increase with the introduction of a new stadium. There is less agreement on the duration of this positive impact on attendance. In early literature by Noll (26), the stadium novelty effect was estimated to last somewhere between seven and eleven years. More recently, Hamilton and Kahn (16) estimate a much shorter three-year duration of this temporary surge in attendance. Others suggest the temporary upward shift is followed by a return to the original attendance levels with limited long-term benefits (14, 36). Howard and Crompton (18) conclude that the initial stadium novelty effect is limited often to just a single year with eventual declines after the first year in the new facility after studying NFL, MLB, NBA and NHL leagues. Most recently, Bradbury (5) suggested a new stadium will bring an initial surge in attendance that breaks down over the initial ten-year period.

One motivation for new stadium construction and renovation is the fan’s experience based upon the facility and its service environment. It must be noted, however, that sport fans can vary in their degree of fandom and their subsequent expectations during game attendance. Both Hoehn and Szymanski (17) and Porat (30) detail a spectrum from casual to involved or committed. Meanwhile, Samra and Wos (33) provide a fan typology including temporary, devoted, and fanatical.

A seminal question to ask is ‘how do fans derive value from the ballpark experience?’ To varying degrees fans value the quality of on-the-field performance. They also value the experience of a game delivered in a safe, clean, and exciting environment provided by a new stadium. Frequently the call for greater amenities is made in the argument for building a new stadium. In fact, it is asserted that new stadiums may become attractions within themselves regardless of team performance (1, 18). The new stadium setting incorporates features that modern, state-of-the-art facilities are expected to have. The ‘stadium as an attraction’ position suggests that fans immerse themselves in the new stadium atmosphere regardless of team performance. In essence, the team’s performance may not be great, but the atmospherics of the stadium creates a pleasurable experience worth the cost and worthy of repeatedly returning for another game. In short, some fans place greater value on the on-field product, whereas others place it on the atmosphere and conditions of the stadium.

While fan experience is vital, the fan base’s devotion to the team and team brand will certainly influence their willingness to attend games. Some teams are known to have loyal fans and seemingly have little trouble reaching stadium capacity. The Chicago Tribune ranked all 30 major league baseball teams by team value (34). Not surprisingly, there is a significant correlation (r = .66) between this team valuation and average team attendance since 1980 (3). These estimated team valuations are provided in Table 1.

Table 1: MLB Teams Ranked by Team Valuation (with Corresponding Fan Attendance) 

Rank Team 2024 Valuation ($B) Average Home Attend (1980-2023) 
New York Yankees 5.59 2,986,328 
Arizona Diamondbacks 4.28 2,353,169 
Los Angeles Dodgers 3.75 3,333,426 
Chicago Cubs 3.67 2,619,327 
Boston Red Sox 3.6 2,583,650 
San Francisco Giants 3.21 2,501,129 
New York Mets 2.48 2,486,904 
St. Louis Cardinals 2.235 2,998,742 
Philadelphia Phillies 2.22 2,339,642 
10 Houston Astros 2.19 2,167,333 
11 Atlanta Braves 2.165 2,297,852 
12 Los Angeles Angels 2.04 2,737,988 
13 Washington Nationals 2.0 1,760,801 
14 Texas Rangers 1.84 2,285,151 
15 San Diego Padres 1.65 2,084,153 
16 Seattle Mariners 1.62 2,009,274 
17 Chicago White Sox 1.54 1,845,744 
18 Toronto Blue Jays 1.53 2,460,458 
19 Minnesota Twins 1.52 1,982,394 
20 Baltimore Orioles 1.46 2,425,704 
21 Cleveland Indians 1.375 1,843,168 
22 Colorado Rockies 1.36 2,769,199 
23 Detroit Tigers 1.33 2,144,746 
24 Cincinnati Reds 1.325 2,016,894 
25 Oakland Athletics 1.3 1,769,573 
26 Milwaukee Brewers 1.29 2,132,008 
27 Pittsburgh Pirates 1.26 1,679,759 
28 Miami Marlins 1.14 1,464,552 
29 Kansas City Royals 1.1 1,845,441 
30 Tampa Bay Rays 1.03 1,400,312 

New Stadiums in MLB

While an expensive and disrupting proposition, building a new stadium is somewhat common in Major Lague Baseball. From 1980-2023, 23 new stadiums were built for non-expansion or relocation teams. Additionally, 5 other new stadiums were built for new franchises (including the Montreal Expos move to Washington, DC). The timing of new stadium constructions between 1980 – 2023 is presented in Figure 1. An overview of the stadiums themselves is provided in the Appendix.

Figure 1: Newly-Built Major League Baseball Stadiums by Year (1980-2023) 

Over a thirty-year span the positive impacts of the new stadium effect have been measured by researchers using a variety of methods. Calculating the aggregate impact of new stadiums in Major League Baseball, Fort (11) provides a methodology typical of this research that specifies the difference between the first year in the new stadium and the previous five-year’s averages for those teams that built new stadiums. Fort (11) finds the change in attendance for a select period to be a positive net increase of 624,000 fans for teams that built new stadiums. Conversely, those teams that did not build new stadiums realized a net increase of 96,000 fans over the same time period.

While this common approach speaks to the impact new stadiums have on league attendance, debate continues as to the team and market specific nature of the stadium novelty effect and how to best measure them. Recently, van Ours (35) employed a ‘difference-in-differences’ (DiD) method with a sample of 8 Dutch stadiums. Here, the researchers used a control group to establish an initial model, then introduced new stadium data and observed the change or difference between the two in a two-way fixed effect regression.

This study also uses the ‘difference in differences’ (DiD) method. Unlike prior studies that use attendance per team while also employing time-dependent independent variables, this study uses percentage change in attendance from the immediate prior year for each team including those with new stadiums. Using marginal (or percentage) change in attendance from the prior year marks a deviation from prior studies that use nominal annual attendance as the dependent variable with additional prior years attendances as independent variables. Using prior attendance as independent variables, as in time series modeling, generates significant multi-collinearity concerns and effectively overfits most lagged time series or autoregressive moving average (ARIMA) models. Using nominal change in attendance from one year prior does not carryover anticipated attendance which tends to overfit the model. Further, the use of marginal annual change mitigates the effects of wide variations in both stadium and market sizes across the vast time horizon studied here.

METHODS

This study uses Major League Baseball attendance records, team on-field performance, and new stadium construction data from the 1980 through 2023 playing seasons. In all, 30 teams are represented in the total data set with 23 new stadiums built during that 40+ year time span. The initial subject pool includes Major League Baseball (MLB) team attendance and performance data from 1979 through 2023 which were accessed and downloaded from the data aggregator baseball-reference.com (a depository for sports performance data). The data analysis plan for this study consisted of three stages.

Stage One

The purpose of Stage One is to collect team performance and fan attendance data. Refinements will be made to the data where warranted. For example, team relocations or the awarding of expansion teams do not offer a before-and-after scenario to analyze the stadium novelty effect. So, the data for these years will be excluded. In addition, data attached to seasons that experienced work stoppages are also excluded as it is assumed attendance figures tied to these reasons are atypical for a variety of reasons (such as fan resentment, etc.). Finally, fan attendance data during the COVID-19 period were eliminated as fan attendance limits, public health concerns, and lingering fan apprehension to attend group events impacted game attendance.

Stage Two

The purpose of Stage Two is to develop a base model to predict fan attendance in the absence of a new stadium using the difference-in-difference methodology. Then, team performance and team salary data for each year and team is regressed on the percentage change in team attendance from year to year (the dependent variable). This model can be used to predict attendance and will be later extended to include the effects of new stadiums in Stage Three.

Stage Three

The purpose of Stage Three is to add new stadium attendance observations to the base model along with the addition of a dummy variable to identify these figures as attached to the introduction of a new stadium. It is here that the final results are calculated and the summary findings advanced.

PRESENTATION OF DATA ANALYSIS

Stage One – Refining the Sample Size

Team performance and attendance data were downloaded by team and year from 1980-2023 (inclusive). 26 teams played from 1980-1992, with expansion to 28 teams in 1993, and then again to 30 teams in 1998. Counting each team during this time span, there are 1,288 observations in the initial data set. As previously noted, this study uses a ‘difference-in-differences’ or DiD approach. Bradbury (5) states “a primary concern with DiD comparisons is the selection of control units that are devoid of treatment effects; therefore, it is imperative to exclude observations of teams that may be experiencing novelty influences from existing venues or entering new markets through team relocations and league expansions.” For this reason, new stadium observations were omitted for expansion franchises, including Colorado (1993), Florida (1993), Tampa Bay (1998), and Arizona (1998). Additionally, the relocation of the Montreal Expos to Washington, DC in 2005 was also omitted given the new stadium in a new market had no comparable previous season attendance data.

Impact of Labor Disputes. During the timeline of the study, there were two significant work stoppages (1981 and 1994) due to labor-management disputes. These years pose two challenges observed in the data.

During each strike year, the dependent variable (percent change in attendance) was (on average) noticeably lower than expected.

During the year following the 1981 strike (1982), the dependent variable was (on average) noticeably greater than expected.

These two anomalies lead to an uncontrollable externality that isn’t explained by performance, marketing, or stadium effects and warrant exclusion. As such, the seasons of 1981, 1982, and 1994 are excluded from this analysis.

Impact of COVID-19 Global Pandemic. The 2020 MLB regular season was reduced to 60 games and played without fans. The post-season was played at neutral sites (Globe Life Field Arlington, TX; Minute Maid Park in Houston, TX; Petco Park in San Diego, CA; and Dodger Stadium in Los Angeles, CA). Given the lack of fans (and attendance data), the 2020 season was excluded from this analysis.

Impact of Pent-Up Demand Following Global Pandemic. The lingering effects of COVID seem to decline during the 2022 season as evidenced by the spike in game attendance. This behavioral change by fans caused the dependent variable (percent change in attendance) to be greater than expected for the 2022 season. As illustrated in Figure 2, the reader will note the high and low spikes in average percent change in attendance. These ‘dips’ and ‘spikes’ represent externalities outside the scope of this study. As such, the 2022 season was also excluded from this analysis.

Figure 2: Average Percent Change in MLB Attendance by Year (1980-2023) 

Tracking the Revisions to the Sample. Collectively, five MLB seasons (1981, 1982, 1994, 2020, and 2022 we excluded from this analysis for the reasons noted above. Additional data adjustments included accounting for individual abnormal ‘outlier’ observations. Individual observation outliers are identified using Mahalonabis Distance2 analysis (15). In doing so, 117 observations are found to be structurally outside of the norm and were also excluded from this analysis. The final data set consists of 1,001 observations for study analysis. A summary of refinement process that affected the sample size is provided in Table 2.

Table 2: Summary of the Refined Sample Size Used in This Analysis 

 Existing Stadiums New Stadiums TOTAL 
All Years 1,206 23 1,228 
Excluding franchise expansion, relocations, strike and COVID effected years. 1095 23 1118 
Final sample excluding outliers. 978 23 1,001 

Stage Two – Creating the Base Model to Predict Attendance (Without New Stadium Data)

Following a difference-in-differences (DiD) methodology (see 5, 35), this stage creates a base model to predict attendance in the absence of any new stadiums. This base model specifies the predictive ability of team variables (such an on-field player performance and player salaries) on attendance. Team performance and salary data from each eligible team and year (i.e., where no new stadium or major stadium renovations occurred) is regressed on the percentage change in attendance (dependent variable). This base model will first be used to predict attendance while later this base model will be extended to include the effect of new stadiums.

While year-over-year marginal change in attendance is the dependent variable, the independent variables include team statistics for offense, defense, and pitching as well as total player payroll (see Table 3 for list of variables). Prior literature has incorporated a limited selection of performance variables and team salary and lagged prior year attendance to predict attendance. Our approach is to incorporate 28 performance variables simultaneously:

Team (4 variables)

Offense (13 variables)

Pitching (6 variables)

Defense (5 variables)

By doing so, the model is able to construct a broader test of variables which may affect attendance. As an economic growth component, payroll suggests that greater player payrolls translate into better on-field performance which impacts attendance (21). It should be noted that the model specification does not incorporate time dependent variables as one might find in a time series analysis. Thus, there is not a controlling element for economic inflation or timely building trends that may emerge over a 40-year time horizon. While league expansion has taken place, study does not use new stadiums as there is no pre- and post-construction paired data.

Table 3: Independent Variables Used in Base Model  

Variable Categories  Variable Description 
Team:  Salary Estimated player payroll. (Standardized) 
  Win Percentage Total wins divided by games played. 
  Home Win Percentage Total wins divided by games played at home only. 
  Run Difference Average difference in runs scored vs runs allowed. 
    
Offense:  Runs Scored per game Average runs scored per game. 
  Hits Number of hits in the year. 
  Doubles Number of doubles in the year. 
  Triples Number of triples in the year 
  Home Runs Number of home runs in the year. 
  Runs Batted In Number of Runs-Batted-In in the year. 
  Stolen Bases Number of bases stolen in the year. 
  Caught Stealing Times caught stealing in the year. 
  Batter Walks Number of walks in the year. 
  Batter Strike Outs Total batter strike outs in the year. 
  Team Batting Average Number of hits divided by at bats for the team. 
  On-Base Percentage Times reached base divided by plate appearances. 
  Slugging Percentage Percentage of hits weighted by based reached. 
    
Pitching:  Runs Allowed Per game Average runs allowed per game. 
  Team ERA Average runs given up divided by 9. 
  Hits Allowed Hits allowed by pitchers in a year. 
  Home Runs Allowed Home runs allowed in a year. 
  Walks Allowed Walks allowed in the year. 
  Strike Outs Pitched Strike outs pitched in the year. 
    
Defense:  Defensive Efficiency Estimate of balls in play that result in converted outs. 
  Assists Assists made in the year. 
  Errors Committed Errors committed in the year. 
  Double Plays Turned Double Plays made in the year. 
  Fielding Percentage (Putouts + Assists) / (Putouts + Assists + Errors) 

Using IBM’s SPSS (version 29.0.1.0) a liner regression is performed using a stepwise entry method for variable selection. This method allows the most attractive variables to be entered into the model first, while consecutively testing, dropping, and adding variables until the best-fitting model emerges.

Stage Three – Creating the Extended Model to Include New Stadium Data

Once a base model is estimated, new stadium attendance observations are added to the sample along with a dummy variable coded for new stadium observations. As noted earlier, 23 new stadiums (observations) are added during this stage which are reflected in this new variable. The new variable that is built into the model during this stage accounts for the presence of a new stadium, coded by ‘1’ while all other observations (existing stadiums) are coded ‘0’. If the stadium novelty effect exists, then the regression coefficient (beta) for the new dummy variable will be significant and the model fit (r2) will improve. Similar to Stage Two, the dependent variables were retained by using a stepwise entry method for variable selection. This stage provides a comparative model directed by the difference-in-difference approach.

RESULTS

Predictive Models

Base Model Without New Stadium Data. A primary goal of this study is to measure the stadium novelty effect while controlling for the influence of team performance and player salaries. During Stage Two, a base model is estimated using a stepwise regression which retained the best predictive variables and strongest model fit. The sample under investigation for base-mode specification has 978 observations resulting in an adjusted r2 fit of .198 and significant F statistic. (see Table 4).

Table 4: Base Model Fit Statistics and Coefficient Estimates 

R R Square Adjusted R Square Std. Error of the Estimate   
0.450 0.202 0.198 0.155   
      
 Sum of Squares Df Mean Square F Sig. 
Regression 5.579 1.116 46.429 <.001 
Residual 22.012 916 .024   
Total 27.591 921    
  Unstandardized Coefficients (Beta) Std. Error Standardized Coefficients (Beta) t Sig. VIF 
(Constant) -.977 .113  -8.627 <.001  
Winning Percentage .957 .084 .372 11.345 <.001 1.35 
Salary -.043 .007 -.251 -5.862 <.001 2.112 
Strikeouts / Game .025 .007 .159 3.648 <.001 2.189 
Hits .000 .000 .102 3.146 .002 1.197 
Stolen Bases .000 .000 .083 2.645 .008 1.120 

Extended Model Including New Stadium Data. Upon the addition of new stadium observations during Stage Three, the extended model demonstrates an increase in model fit (r2) from .198 to .230. Moreover, the new stadium dummy variable is significant (.001) and strong when compared to the other variable’s standardized betas, at .216, only “winning percentage” and “batting average” serve as better predictors of changes in attendance from year to year. (see Table 5).

Table 5: Extended Model (with New Stadium Variable) Fit Statistics and Coefficient Estimates 

R R Square Adjusted R Square Std. Error of the Estimate     
.486 0.236 0.230 0.157      
       
       
 Sum of Squares Df Mean Square F Sig.  
Regression 7.085 1.012 41.199 <.001  
Residual 22.921 933 .025    
Total 30.006 940     
       
       
  Unstandardized Coefficients (Beta) Std. Error Standardized Coefficients (Beta) t Sig. VIF 
(Constant) -.730 .072  -10.201 <.001  
Winning Percentage .950 .093 .359 10.240 <.001 1.502 
New Stadium .274 .037 .216 7.480 <.001 1.016 
Salary -.050 .007 -.277 -6.627 <.001 2.138 
Strike Outs / Game .023 .007 .139 3.362 <.001 2.075 
RBIs .000 .000 .151 3.937 <.001 1.789 
Walks (Hitter) .000 .000 -.109 -3.019 .003 1.600 
Stolen Bases .000 .000 .073 2.396 .017 1.124 

The Magnitude of Stadium Novelty Effects

In this study we define the year prior to a new stadium as a “base-year” and then compare attendance in the new stadium to the base-year. This comparative process found an average change in attendance of 29.6% during the first year of play in a newly-constructed stadium. This 29.6% increase in attendance equates to an average increase of 762,263 fans for a new stadium’s inaugural season. Meanwhile, average marginal change for each successive year remains positive until year 21 as illustrated in Figure 3. By comparison, the average annual change in attendance increases for non-new stadium observations was just 2.36%, or an average increase of 63,553 fans for the study timeframe.

Figure 3: Average Percentage Change in Fan Attendance by Stadium Age 

As other studies indicate, attendance attributed to a new stadium is greatest during the first year and diminishes over time. In fact, based on study data new MLB attendance appears to decay at a rate of 1.19% per year after the introduction of the new stadium given the correlation of stadium age (in years) and percent change in attendance (r = .84). While it is unclear if all the factors contribute to attendance decay, it is plausible that the newness or novelty of the stadium diminishes while its new amenities become outdated and/or worn out. This study appears to provide a longer and slower decline in attendance extending Noll (26) that finds the stadium novelty effect is between seven and eleven years and dismisses the one-to-three-year effects that Hamilton and Kahn (16), Voight (36), Greenberg and Gray (14), and Howard and Crompton (18) all find.

A novelty of these findings is the approach used by defining the dependent variable as percent change in attendance in an effort to remove externalities that cannot be controlled across franchises. Annual attendance models using nominal annual attendance fail to capture the effect of stadium size variations and the size of the attendance variable which overweighs time-series data and can capture a very large portion of systemic error from year to year.

The Impact of On-Field Team Performance

This study further advances the current literature on stadium novelty effects by testing numerous team performance variables. Prior studies included a limited number of team performance variables such as “winning percentage” or “playoff appearances” (22). This study’s initial variable pool of 28 performance-related variables offers a more exhaustive list of performance metrics to (assumedly) better capture the influence of team performance on attendance in the presence of stadium novelty effects. In doing so, we find that five variables play a significant role in determining attendance, including: (a) winning percentage (b=.354, <.001); (b) strikeouts per game (b=.139, <.001); (c) RBIs (b=.151, <.001); (d) walks by hitter (b=-.109, .003); and (e) stolen bases (b=.073, .017). Meanwhile, team player salary (b=-.277, <.001), while a significant variable, appears to be negatively associated with attendance change. This finding is unusual and unexpected based on common perceptions that higher paid athletes tend to attract more attention.

As noted, a team’s winning percentage is found to be a key performance driver to attendance. As one can imagine, teams that perform better attract more fans. Data suggests that there is a significant correlation (r = .477) between winning percentage and home attendance figures (3). Likewise, “team ERA” is negatively associated with attendance (r = -.208) and “team batting average” is positively correlated with attendance (r = .221). In short, fans generally show up in greater numbers when teams improve on-field performance. On average, teams realize a modest 1.2% increase in home winning percentage a year after the new stadium is built, which is consistently found in other research (see 19, 20, 29, 31, 37).

CONCLUSIONS

This research builds further support for the impact new stadiums have on short-term fan attendance and financial outcomes. The building of a new stadium can be expected to increase season attendance by 29.3% for the first year of play. That elevated first-year attendance does not last forever. Rather, it tends to decline by approximately 1% per year for the next 20 years. During this entire 20-year span, overall fan attendance tends to remains higher than would have been predicted had the new stadium not been built in the first place.

By (a) modifying the dependent variable to a percent change in attendance and (b) including many more performance indicators as dependent variables, this study adds to the richness of the ongoing research into stadium novelty effects. Limitations of the study include the lack of multi-sport applications as this study focuses on Major League Baseball and does not include other professional sports such as soccer, football, or basketball. In addition, it does not include developmental and/or non-professional leagues.

Moreover, we do not account for cultural trends that may occur promoting or detracting from new stadium construction. Notably, over the time horizon, stadiums have moved from large capacity multi-use facilities to smaller ‘baseball-only’ spaces. Also, there is an increasing trend to re-locate stadiums outside of dense urban areas, Finally, the trend of sprawling multi-business complex models has also added to the art of new stadium construction. Today, new stadiums are built with an economic ecosystem surrounding the facility to include dining, entertainment, and other hospitality venues such as hotels. Finally, the model outlined in this research, while demonstrating sufficient fit statistics, fails to capture all the variation in marginal attendance change on a year-over-year basis. As such, future research should seek to include additional independent variables that can improve the model.

Stadium novelty effects are real and substantial. This study presents a new method to be used to measure and predict their impact on total attendance in any sport and at any level (college, professional, etc.).

APPLICATION IN SPORT

A baseball stadium is a fixed asset with an anticipated lifespan. No stadium lasts forever in its original form. At some point, a stadium must be remodeled or replaced to meet the needs of current consumers or fans may shy away from attending games. New stadiums can help grow attendance, diversify the fan base, and develop new revenue streams to help teams compete financially in Major League Baseball. While, new stadiums represent new branding opportunities, they also offer teams the opportunity to reach new audiences with improved and updated amenities. These benefits likely translate to greater financial outcomes for the team, however the financial debate is complicated affecting many stakeholders. While team owners may be obvious benefactors, the financial incentives offered by local governing bodies reflect a mutual perceived benefit from the broader tax-paying community.

As noted above, the introduction of a new stadium tends to trigger a large increase in first year attendance (over 29%) and while that figure tends to decline over time, the net result is that total attendance tends to stay higher than it would have been in the absence of new stadium construction for the next 20 years. This suggests local governments should be willing to consider some level of public financing for stadium construction for a minimum of 20 years, and possibly longer.

For teams that played in the 1980 MLB season, 6 teams continue to play in their original (albeit updated) stadiums: Boston Red Sox; Chicago Cubs; Kansas City Royals; Los Angeles Angels; Los Angeles Dodgers; and Oakland Athletics. Sixteen MLB teams have occupied 2 stadiums over this period while 3 teams have played in 3 different home stadiums over this 40+ year period. One team (the Montreal Expos) relocated to Washington, DC.

At the time of this writing, 3 new MLB ballparks have been projected including the Oakland A’s new park in Las Vegas with an estimated price tag of $1.75 billion as well as new parks in Tampa Bay and Kansas City. Meanwhile, the Chicago White Sox are exploring new park opportunities (9, 12). Beyond Major League Baseball, new stadium construction is viewed as an integral part of any team brand and fan-base strategy. At least five new Minor League Baseball parks have been built since 2020 including: Beloit Sky Carp’s ABC Supply Stadium; Kannapolis Cannon Ballers’ Atrium Health Ballpark; Worcester Red Sox’ Polar Park; Rocket City Trash Pandas’ Toyota Field; and the Wichita Wind Surge’s Riverfront Stadium (23, 25). It will be interesting to see the impact of these new stadiums on fan attendance in their respective cities.

The issue of new stadium construction and/or the massive remodel of existing baseball stadiums is also taking place in NCAA Division I baseball. The Board of Regents of Georgia State University (located in downtown Atlanta) have approved the construction of a new downtown baseball stadium in the footprint of the old Atlanta-Fulton County Stadium. The new stadium will allow the team to play closer to campus than their current stadium which is located 12 miles from their center-city location (13). Old Dominion University will play its entire 2025 baseball season in away games and/or nearby minor league stadiums (as available) as it remodels its on-campus baseball stadium (24).

Over the last decade, many schools in the Southeastern Conference (such as the University of Florida, University of Kentucky, Mississippi State University, and the University of South Carolina) have greatly expanded, or even replaced, their college baseball stadiums. This wave of stadium updates is expected to continue and spread to other sports and facilities. These new stadiums may possibly extend the research on stadium novelty effects into college sports.

Sports fans have many options for their time, attention, and entertainment dollar. Teams cannot assume casual fans will continue to attend games just because it is part of the local culture. Increasingly demanding fans want an updated fan experience, even in historical stadiums like Wrigley Field in Chicago or Fenway Park in Boston. This study demonstrates that overall attendance goes up when new MLB stadiums are built. While this spiked year-one attendance may decline modestly each year, this ‘decline’ is from an elevated number of fans due to the introduction of new stadium in prior years. So, in an interesting way, the ‘bonus attendance’ of the new stadium provides the cushion (or pays for) the modest reductions in attendance over time. Then, at some point in the future, the team may begin discussions of replacing their now 30-year-old stadium (again).

CONCLUDING REMARKS

When baseball fans wax poetically about their memories of MLB games from their childhoods, these descriptions are not limited to their favorite players. Embedded in these memories are the sights-and-sounds of the stadium, such as the glow of the lights for a night game, the call of the popcorn vendors, or the smell of a hot dog cooking on the grill. Enhancing the in-stadium fan experience is an integral part of success in the sports industry of today.

As noted earlier, 3 MLB teams have played in 3 different home stadiums over the timeframe of this study:

Atlanta Braves: Atlanta-Fulton County Stadium to Turner Field to the current Truist Park.

Minnesota Twins: Metropolitan Stadium to the Hubert Humphry Metrodome to the current Target Field.

Texas Rangers: Arlington Stadium to The Ballpark at Arlington to the current Globe Life Field.

It will be interesting to see the lifespan of these newer stadiums. When Atlanta-Fulton County Stadium, Metropolitan Stadium and Arlington Stadium were all originally constructed, no one could dream of the day when these shining new stadiums would be replaced. Living decades in the future, we know ‘the rest of the story.’ These stadiums have been replaced … and their replacement stadiums have been replaced. The long-term cycle continues.

REFERENCES 

  1. Austrian, Z. and Rosentraub, M. (1997). Cleveland’s gateway to the future. In R.G. Noll and A. Zimbalist (Eds), Sports, Jobs and Taxes. Washington D.C.: The Brookings Institute. 
  1. Baade, R. and Sanderson, A. (1997). The employment effect of teams and sports facilities. In R.G. Noll and A. Zimbalist (Eds.), Sports, Jobs and Taxes, Washington, D.C.: The Brookings Institute.  
  1. Baseball Reference (2024). Atlanta Braves attendance, stadiums, and park factors. Retrieved from: https://www.baseball-reference.com/tools/share.fcgi?id=T5QB2 
  1. Borland, J. and Macdonald, R. (2003). Demand for sport. Oxford Review of Economic Policy, 19(4), 478-502. 
  1. Bradbury, J. (2024). Revisiting the novelty effect from new stadiums: An event study approach. Economic Inquiry, (62), 1722-1747. 
  1. Clapp, C. and Hakes, J. (2005). How long a honeymoon? The effects of new stadiums in Major League Baseball. Journal of Sports Economics, 6(3), 509-521. 
  1. Coates D. and Humphreys, B. (2000). The stadium gambit and local economic development. Regulation, 23(2), 15-20. 
  1. Danielson, M. (1996). Home Team: Professional Sports and the American Metropolis. Princeton University Press. 
  1. ESPN (2024, December 5). A’s clear last major hurdles for $1.75 billion Las Vegas stadium. Retrieved from: https://www.espn.com/mlb/story/_/id/42802400/a-clear-last-major-hurdles-175-billion-las-vegas-stadium 
  1. Feddersen, A., Maennig, W., and Borcherding, M. (2006). The novelty effect of new soccer stadia: The case of Germany. Journal of Sport Finance 1(3). 174-188. 
  1. Fort, R. (2003). Sports Economics. Pearson Education, Inc. 
  1. Future ballparks. (n.d.). Ballparks of Baseball. Retrieved from: https://www.ballparksofbaseball.com/future-ballparks/ 
  1. Georgia State University (2024, May 14). Board of Regents approves new downtown baseball stadium.  Georgia State University Athletics. Retrieved from: https://georgiastatesports.com/news/2024/5/14/athletics-board-of-regents-approves-new-downtown-baseball-stadium.aspx 
  1. Greenberg, M. and Gray, J. (1996). The Stadium Game. Marquette University Law School; National Sports Law Institute. 
  1. Hair, J., Black, W., Babin, B., and Anderson, R. (2018). Multivariate Data Analysis (8th Edition). Prentice-Hall  
  1. Hamilton, B. and Kahn, P. (1997). Baltimore’s Camden Yards ballparks. In R.G. Noll and A. Zimbalist (Eds.), Sports, Jobs and Taxes, Washington, D.C.: The Brookings Institute. 
  1. Hoehn, T. and Szymanski, S. (1999). The americanization of european football. Economic Policy, 14(28). 205-240. 
  1. Howard, D. and Crompton, J. (2003). An empirical review of the stadium novelty effect. Sport Marketing Quarterly, 12(2), 111-116. 
  1. Huang, Y. and Soebbing, B. (2022). The novelty effect and on-field team performance in new sports facilities: the case of the Canadian Football League. Sport Management Review, 25(1), 88-205. 
  1. Kahane, L. (2005). Production efficiency and discriminatory hiring practices in the National Hockey League: A stochastic frontier approach. Review of Industrial Organization, (27), 47-71.  
  1. Langhorst, B. (2014). What do your fans want? Attendance correlations with performance, ticket prices, and payroll factors. Baseball Research Journal, 43(1),101-108  
  1. Leeds, M., Allmen, P., and Matheson, V. (2018). The Economics of Sports (6th Edition). Routledge. 
  1. MiLB.com (2023). Batting around: New ballparks for a new era. Retrieved from:  https://www.milb.com/news/batting-around-new-ballparks-for-a-new-era 
  1. Minium, H. (2024, May 9). ODU’s baseball series against App State is the last at Bud Metheny Stadium before $20 million overall. Old Dominion Sports. Retrieved from: https://odusports.com/news/2024/05/9/minium-odus-baseball-series-against-app-state-is-the-last-at-bud-metheny-stadium-before-dollar20-million-overhaul 
  1. MLB.com (2023). Newest ballparks in Minor League Baseball. MLB.com. Retrieved from: https://www.mlb.com/news/featured/newest-ballparks-in-minor-league-baseball 
  1. Noll, R. (1974). Attendance and price setting. In RG Noll (Ed.), Government and the Sport Business. Washington D.C.; The Brookings Institute. 
  1. Noll, R. and Zimbalist, A. (1997). Build the stadium create the bobs! In R.G. Noll and Zimbalist (Eds.), Sports, Jobs and Taxes, Washington, D.C.: The Brookings Institute. 
  1. Perry, K. (2001). Professional sports attendance as a proxy for new stadium spillover benefits. The Park Place Economist, 9, 62-70. 
  1. Popp, N., Richards, J. and Weight, E. (2018). Measuring the impact of a significant college baseball stadium project on recruiting, on-field success, and fan attendance. Journal of Contemporary Athletics,12(3), 175-188. 
  1. Porat, A. (2010). Football fandom: A bounded identification. Soccer and Society, 11(3), 277-290. 
  1. Quinn, K., Bursik, P., Borick, C., and Raethz, L. (2003). Do new digs mean more wins? The relationship between a new venue and a professional sports team’s competitive success. Journal of Sports Economics, 4(3), 167-182.  
  1. Reichard, P. (2017, September 6). 2017 ballpark of the year: SunTrust Park, Atlanta Braves. Ballpark Digest. Retrieved from: https://ballparkdigest.com/2017/09/06/2017-ballpark-of-the-year-suntrust-park-atlanta-braves/ 
  1. Samra, B. and Wos, A. (2014). Consumer in sports; Fan typology analysis. Journal of Intercultural Management, 6(4), 263-288. 
  1. Sheade, B. (2021, April 15). The most and least valuable MLB teams. Chicago Tribune. Retrieved from: https://www.chicagotribune.com/2021/04/15/the-most-and-least-valuable-mlb-teams/ 
  1. van Ours, J. (2024). No novelty effect but a honeymoon that lasts: On the attendance effects of new football stadiums. Sports Economics Review, 5, 1-14. 
  1. Voight, D. (1983). American Baseball Volume 3; From Postwar Expansion to the Electronic Age. State College, PA: Pennsylvania College University Press. 
  1. Watson, J. and Krantz III, A. (2003). Home field advantage: New stadium construction and team performance in professional sports. Perceptual and Motor Skills, 97(3), 794-796.  
  1. Zygmont, Z. and Leadley, J. (2005). When is the honeymoon over? Major league baseball attendance 1970-2000. Journal of Sport Management, 19(3), 278-299.  
2025-05-16T09:56:27-05:00July 26th, 2025|General, Sport Education, Sports Facilities, Sports Management|Comments Off on The Novelty of New Stadiums: Evidence from 40 Years in Major League Baseball 

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

Bridging Practice and Pedagogy: The Role of Practitioners as Professors in Higher Education

Authors:Angela Mitchell1, Wilmington College of Ohio

Sara Myers2, Wilmington College of Ohio

Alan Ledford3, Wittenberg University

Bridging Practice and Pedagogy: The Role of Practitioners as Professors in Higher Education

Abstract

Many smaller institutions are seeing an uptick in students interested in obtaining degrees in the more applied fields.  For the applied fields, there is a distinct benefit to having practitioners move into the role of professor as a “second career.”  The value of this approach has been recognized in fields such as public policy, education, and nursing for quite some time (He, et. al 2022; LaRocco & Bruns, 2006; Ritter, 2007).  These practitioners bring not only the content expertise, but also the depth and credibility to draw the connection between theory and practice for the students. The concept of practitioners as professors has yet to be studied in business and sport management programs.  The use of practitioners in the field of accounting and finance has been examined as a means to combat the shortage of doctorates in the field, but not to a great extent (Boyle, et. Al, 2013).  The research on “second career academics” (LaRocco & Bruns, 2006) has predominately been centered on the challenges the individuals face when moving from the corporate to academic environment.  This study is aimed at understanding the trends in business and sport management programs with respect to hiring practitioners into full time professorship positions. 

Keywords: Second career academics, practitioner professors, business, sport management, professional experience, faculty hiring trends, accreditation impact, student learning outcomes, networking opportunities, faculty recruitment

Introduction

The study will examine the number of professors with professional experience as practitioners in their fields prior to entering the academic world.  While textbooks are great tools, they cannot replace the experiences that professional practitioners encounter. The research will use survey methodologies to get an understanding of the status of practitioners in sport management and business programs in the United States.  As a second phase to the research, we hope to uncover the motivations for moving into academic and to better understand the challenges and rewards for making such a transition.  Future research will also be centered on potential tensions that might exist between the first career academics and the second career academics (practitioners) (Clinebell & Clinebell, 2008). We hypothesize that there is an increasing number of business and sport management programs employing practitioners into professorship positions. 

Literature Review

While there is some previous research that focuses on aspects of this study, there is a lack of focus in previous studies on institution size and accreditation status in relation to second career academics. However, there were many studies that focused on the move towards hiring second career academics, doctoral shortages in certain business fields, and overall collaboration in the business world.  It seems that the pendulum in business schools is moving towards hiring more professors that have been practitioners previously (Clinebell & Clinebell, 2008).

In our careers as professors, we have seen many changes in students, and in what the business world expects of them.  Interpersonal and intrapersonal skills which are components of Emotional Intelligence (EI) are something that many employers now want (Manna, et. Al, 2017).   This may largely be because business in our world today is incredibly complex and constantly in flux.  Communication skills are a key to reaching high levels of career success (Manna, et. Al, 2017).   For example, preparing reports and various financial statements may have been enough for an individual to be successful in the past in the accounting field, but that is not necessarily the case today (Manna, et. Al, 2017).   Due to the overall nature of business, it is increasingly important that the hybrid and clinical aspects of business be incorporated into business education (Clinebell & Clinebell, 2008). 

Another issue facing sport management and business schools is a shortage of faculty that have their doctoral degree (Clinebell & Clinebell, 2008).  With that being said, for institutions to survive and thrive in the educational environment important steps need to be made. Effective and impactful learning requires collaboration between professors and students.  Even further collaboration such as between managers, educators, and researchers could be beneficial as well (Sohrabi & Zarghi, 2015).   Networking with the local community and creating employee culture that fosters collaboration between first and second career academics are both important (Clinebell & Clinebell, 2008).  In collaborating with the community good relationships can also be built with various business entities.  According to a study conducted by Henningsson and Geschwind (2017), both local and top management agree that adjunct professors who are industry practitioners can help increase collaboration as well as quality of education.

Accreditation is a peer-to-peer arrangement relying on volunteerism by higher education professionals to pledge to students that the education offered by universities is of great excellence and value.  The accreditation process leans on the openness of universities to assess themselves against a set of policies, procedures, and standards to recognize strengths, weaknesses, opportunities, and threats while using the accreditation process for improvement in these areas (Brittingham, 2009).  For sport management programs the Commission of Sport Management Accreditation (COSMA) uses myriad of criteria, such as outcome assessments, strategic planning, curriculum, faculty qualifications, scholarly and professional activities, educational resources, and internal and external relationships (stakeholders such as alumni) to gauge the rigor of quality (COSMA, 2024). Accreditation has evolved over time to link federal financial aid to accreditation status and monitor both qualitative and quantitative outcomes.  The achievement of accredited status is frequently used to assess the quality of an academic program (Hobbs, McMahan, Stawski, 2018).  The utilization of second career academics can be of great value during the accreditation process as these individuals are versed in the professional needs of the industry.  In addition, second career academics may have the external relationships needed to facilitate a successful accreditation review.

The changes in student demographics also raise questions about equitable access to high-quality education, which presents more challenges for university professors and accrediting agencies. Utilizing practitioners in higher education classrooms can be instrumental in mitigating some of these challenges.  By providing students with more direct and consistent access to those that have been in the field can prove beneficial in preparing students for careers in those industries.  Second career academics again are likely to have access to networks that can assist students as they prepare to enter the workforce in that field.

The lack of previous research and the need to address current challenges facing sport management and business programs have provided the foundation for the research questions examined in this exploratory study.  The research questions were devised to better understand the current state of utilizing second career academics in sport management and business programs.

RQ1: To what extent does the size of the institution impact the hiring of second career academics?

  • H1: Smaller institutions will hire second career academics more frequently.
  • H2: Smaller institutions will actively recruit second career faculty.

RQ2: To what extent does program accreditation impact the recruitment of second career academics?

  • H1: Programs that are not accredited will actively recruit second career faculty to a higher degree

RQ3: To what extent does accreditation status impact the hiring of second career academics?

  • H1: Institutions that are accredited will have fewer second career academics.

RQ4: To what extent does the institution have barriers to second career academics for career advancement

  • H1: Institutions that are accredited will not have advancement opportunities for faculty without a terminal degree.
  • H2: Smaller institutions will have advancement opportunities for faculty without a terminal degree.

Method

The study was designed as an exploratory study to a larger research effort centered on uncovering the benefits to students of having second career academics as faculty in their programs. Currently, little research exists on the hiring practices of second career academics in the sport management and business fields. A survey was developed to investigate the prevalence (or lack of) of faculty in programs that are considered second career academics. The 12 questions on the survey were used to gather information on the size of the institution and their practices around recruiting and hiring second career academics. The survey also included questions about advancement opportunities for second career academics in higher education institutions. Initially, a convenience sample was selected of 62 institutions. As the initial response rate was low, the survey was then distributed through the Commission on Sport Management Accreditation (COSMA) membership list. A total of 22 responses were collected. Although a high response rate was not achieved, this data does provide insight into current hiring trends and provides a solid foundation for future research.

Results and Discussion

The data from the survey were analyzed using Microsoft Excel. As the dataset was small, hypotheses were evaluated using Pearson’s correlation coefficient. The institutions that responded were from a variety of locations in the United States and were of varying size and type (private, public). For the purposes of this study, it was assumed that the Sport Management and Business programs were in the same department, which was a limitation that is discussed later in the paper.

RQ1 examined the impact of size of the institution on the hiring of second career academics. Many smaller institutions are seeing an uptick in students interested in obtaining degrees in the more applied fields. For the applied fields, there is a distinct benefit to having practitioners move into the role of professor as a “second career.”  The value of this approach has been recognized in fields such as public policy, education, and nursing for quite some time (He, et. Al 2022; LaRocco & Bruns, 2006; Ritter, 2007). The use of practitioners in the field of accounting and finance has been examined as a means to combat the shortage of doctorates in the field, but not (Boyle, et. Al, 2013). A general size of the institution can be inferred from the number of faculty and students in the programs. Table 1 summarizes the data related to the relative size of the program based on the number of faculty and number of students.

Table 1: Size of programs in terms of faculty and number of students
 MSD
1. Total number of FT faculty in business and sport management7.649.08
2. Total number of PT faculty in business and sport management6.500.71
3. Total number of students in business and sport management – undergrad185.0087.61
4. Total number of students in business and sport management – graduate56.5540.81
5. Total number of faculty (FT and PT) that are “second career academics”9.5012.03

The number of FT faculty varied considerably. The median was 4, but the responses ranged from a high of 42 to a low of 1. There was more consistency with PT faculty. 23% of the institutions reported having more PT faculty than FT time faculty. These programs were the smaller programs in the data set in terms of the number of students. The size of the programs in terms of students was quite varied as well. The median number of undergraduate students was 180 with the highest being 750 and the lowest being 55. The median number of graduate students was 40, with the highest at 130 students and the lowest at 7 students. Eleven (50%) of the institutions did not have graduate programs. Finally, the average number of second career academics (FT and PT) across the sample was 9.5 with a high of 30 and a low of 1. Of particular note was that none of the institutions reported having no faculty that were second career academics.

H1 postulated that smaller institutions would hire second career faculty members more frequently. To assess this, a correlation between the number of students in the program (combined undergraduate and graduate) and the number of second career academics reported in the department was determined. The Pearson’s correlation coefficient was 0.739 (p <.0001) and thus supported H1.

H2 predicted that smaller institutions would also specifically recruit second career academics for their programs. The correlation between the total number of students and whether the institution actively seeks out second career academics was 0.522 (p = 0.013). H2 was supported showing that smaller institutions actively recruit second career academics to a higher degree than larger institutions.

RQ2 centered on the impact of accreditation and the relationship to actively recruiting second career academics in sport management and business programs. Of the responses, there was a near equal split between institutions that were not accredited by an outside accrediting body such as AASCB or COSMA (9) and those that were currently accredited (10). Three institutions were in the accreditation process at the time of the survey.

H1 stated programs that are not accredited are more likely to actively recruit second career academics. The correlation coefficient between accreditation status (n=19 because 3 were in process) and whether or not the institution reported that they actively recruited second career academics was 0.056 and therefore H1 was not supported. From this data set, there is no evidence that accreditation status impacts the recruiting of second career academics.

RQ3 examined the impact of accreditation status on the hiring of second career academics. Institutions that do not actively recruit second career academics may still find that through their search process they tend to hire more frequently second career academics.

H1 stated that institutions that area accredited will have fewer second career faculty in their programs. This contention was not supported by the data collected (r = 0.253; p = 0.298).

Although not the focus of this paper, size of the institution does appear to have an impact on accreditation status although not statistically significant (r = 0.441; p = 0.06). Larger institutions are more likely to be accredited than smaller programs.

RQ4 investigated the barriers to career advancement that second career academics sometimes face. The research on “second career academics” has been centered on the challenges the individuals face when moving from the corporate to academic environment (Clinebell & Clinebell, 2008; LaRocco & Bruns, 2006).

H1 postulates that institutions that are accredited will not have career advancement opportunities for faculty without terminal degrees. In this study, it was assumed that second career academics do not have terminal degrees. This presents a distinct limitation that will be discuss later it the paper. Of the total sample, 41% of the institutions did not offer promotion opportunities for faculty without terminal degrees. When comparing accreditation status to promotion opportunities for those without terminal degrees, there was no relationship between the two (r = 0.045; p = 0.855). H1 was not supported. Of the sample only 2 of the institutions (9%) offered tenure opportunities for faculty without terminal degrees. Finally, participants were asked if their institution allowed faculty on term contracts to move to tenure track if a terminal degree was obtained. When comparing accreditation status to the offering of moving to a tenure track position, there was some evidence that those that were accredited offered this option, although not statistically significant (r = 0.367; p = 0.123).

H2 examined the impact of the size of the institution on the promotion opportunities for faculty without terminal degrees. Smaller programs might be less likely to be accredited and therefore better able to hire faculty without terminal degrees. Offering career advancement opportunities could be easier to implement in smaller institutions. The correlation between size of the institutions as measured by the total number of students and promotion opportunities for faculty without terminal degrees was 0.140 (p = 0.535). No statistically significant relationships were found between the size of the institution and tenure opportunity or the ability to switch to tenure track. Therefore, H2 was not supported. This small sample did not offer any evidence that the size of the institution impacted the career advancement opportunities for faculty without terminal degrees.

Study Limitations

Although some interesting findings were obtained, the study had several limitations. The most obvious limitation was the sample size. With only 22 responses, in-depth analysis was limited. However, as an exploratory study, this research does offer some key insights to build a more robust research agenda on the subject of second career academics. Next, the size of the institution was estimated using the number of students and the number of FT and PT faculty in the programs. This does not necessarily offer a good measure of the size of the institution as a whole. A better measure might be size of the institutional endowment, total student population across campus(es), or total number of faculty at the institution. Another measure to add for additional analysis would be the type of institution (private versus public). In this study, it was assumed that the business and sport management programs were in the same department or school. This is not always the case and many anecdotal comments on the survey mentioned that the departments are completely separate. Finally, this research assumed that second career academics did not have terminal degrees. This may not be the case and therefore provides an additional avenue for future research to explore.

Future Research

This topic presents many areas for additional study. Firstly, a more comprehensive study with a larger sample size could be conducted to provide more in-depth analysis of the trends in higher education with respect to second career academics. This could extend beyond the sport management and business fields into additional applied fields. Future research could be centered on determining whether second career academics have terminal degrees or plan to obtain terminal degrees and their motivation for doing so (i.e., can switch to tenure track). As a second phase to this research, we hope to uncover the motivations for moving into academia and to better understand the challenges and rewards for making such a transition. Additionally, we will research potential tensions that might exist between the first career academics and the second career academics (practitioners) (Clinebell & Clinebell, 2008). Finally, future research could be centered on the benefits to students and the value these practitioners bring into the classroom.

Conclusion

In conclusion, in order for practical application purposes, institutions could influence and tailor curriculum to the practitioners’ level of expertise and/or vice versa.  Institutions can link second career academics with students, to promote professional networking and experiential learning.  Universities could collaborate with practitioners to create internship/project opportunities, networking or informational interviews that would add more hands-on experiences and opportunities.  Senior faculty could implement student feedback loops to evaluate the effectiveness of practitioner led courses thus refining teaching strategies and enriching student learning outcomes.  These approaches could uplift educational quality, opportunities and better prepare students for their careers.

References

Boyle, D., Carpenter, B., Hermanson, D.,  & Mensah, M. (2013). The accounting doctorate shortage: Opportunities for practitioners. Strategic Finance. 94. 30-36.

Brittingham, B. (2009). Accreditation in the United States: How did we get to where we are?

New Directions for Higher Education, 145, 7-27.

Clinebell, S. and Clinebell, J. (2008). The Tension in Business Education Between Academic Rigor and Real-World Relevance: The Role of Executive Professors. Academy of Management Learning & Education. 7. 99-107.

Commission on Sport Management Accreditation (COSMA). (2024). Accreditation Principles Manual & Guidelines for Self-Study Preparation. Retrieved from https://www.cosmaweb.org/uploads/2/4/9/4/24949946/accreditation_principles_march_2022.pdf&ved=2ahUKEwih4dSAjqWJAxUoq4kEHWpIDswQFnoECB0QAQ&usg=AOvVaw0LoKc-dLV1i1XpIl4GTF2f

He, A. J., Liu, P., Yumeng, F., & Liu, H. (2022). Sending professors to the field: does faculty-practitioner exchange narrow the theory-practice gap in China’s MPA programs? Journal of Asian Public Policy, 16(1), 96–113.

Henningsson, Malin & Geschwind, Lars. (2017). Senior Industry Practitioners as Part-Time Visiting Professors: The Various Benefits of Collaboration. Higher Education Policy. 32.

Hobbs, W., McMahan, K., & Stawski, J. (2018).  The value of accreditation for outdoor leadership education programs.  Journal of Outdoor Recreation, Education, and Leadership, 10(4), 288-293. 

LaRocco, D.J., & Bruns, D.A. (2006). Practitioner to Professor: Second Career Academics’ Perceptions of Entry into the Academy.

Manna, D., Bryan, L., and Pastoria, G. (2009). Economics and Organization of Enterprise v. 3, n. 1: 17-33

Merkel, P. (2018) Scholar or Practitioner? Rethinking Qualifications for Entry-Level Tenure-Track Professors at Fourth-Tier Law Schools, 44 Capital University Law Review 507.

Sohrabi, Z. and Zarghi, N. (2015) Evidence-Based Management: An Overview. Creative Education, 6, 1776-1781. doi: 10.4236/ce.2015.616180.

2025-03-26T15:53:42-05:00May 2nd, 2025|Contemporary Sports Issues, Research, Sport Education, Sports Management|Comments Off on Bridging Practice and Pedagogy: The Role of Practitioners as Professors in Higher Education

For the Good of the Game: What Keeps Soccer Referees from Renewing Their Licenses

Authors: Dr. J Ross Pruitt1, Dr. Dexter Davis2


Corresponding Author:

J. Ross Pruitt* Professor Department of Agriculture, Geosciences, and Natural Resources

269 Brehm Hall University of Tennessee at Martin

Martin, Tennessee 38238

Phone: (731)881-7254 Fax: (731)881-7968 [email protected]

For the Good of the Game: What Prevents Soccer Referees from Renewing Their Licenses 

ABSTRACT

The United States faces a critical shortage of youth sports referees despite a growing interest in many sports. This issue is increasingly gaining attention from sanctioning bodies, referee associations, and researchers. There is a significant cost of referee turnover and implementing strategies implemented to increase retention of officials, especially in soccer. Correct identification of the issues resulting in non-renewal of referee licenses will increase the likelihood of retention strategies being successful. This study builds on existing research by using best-worst scaling to provide a preference share on the factors that result in non-renewal which Likert scales cannot provide. Current and former U.S. Soccer Federation referees in Tennessee were surveyed to determine which factors are most likely to motivate their decision to not renew their referee license. Findings from this research indicate that motivations are different from youth referees compared to adult referees. Youth referees find the cost of refereeing and assigning are resulting in non-renewal of licenses compared to lack of respect and changing work commitments among adult referees. Results of this research can be used to improve retention strategies across age groups.

Keywords: best-worst scaling, soccer referees, referee motivations, referee retention  

Organized sports are an important part of society within the United States as it allows recreational and entertainment opportunities for participants and spectators. Sports officials are often referred to as the “third team” and are a critical aspect to the success of organized sports. In recent years, the popular press has been bombarded with stories of referee shortages (e.g., Conlon, 2022; Medina, 2022; Yurkevich, 2023) and physical attacks (Mendola, 2014; Ortiz, 2015; Weir, 2022; Hamacher, 2023). A majority of states have enacted or are considering laws to protect referees according to the National Association of Sports Officials (NASO) who tracks the status of legislation impacting sports officials (NASO, n.d.).  

Even with increased awareness of the issues of referee shortages, verbal abuse and/or physical assaults, and growing legal protections, organized sports in the United States are still facing a shortage of officials. National and grassroots sport associations have enacted strategies to reduce the turnover to aid in recruitment (Titlebaum et al., 2009) and retention (Warner et al., 2013) of sports officials. These efforts will take time to minimize the impact of verbal abuse and physical assaults that are believed to result in the exodus of sports officials (Warner et al., 2013; Downward et al., 2023). Prior research has explored the factors that result in individuals deciding to become a sports official (Furst, 1991; Kellett and Warner, 2011; Johansen, 2015; Baldwin and Vallance, 2016) and continuing as a sports official (Rainey, 1999; Rainey and Hardy, 1999; Kellett and Shilbury, 2007; Kellett and Warner, 2011; Cuskelly and Hoye, 2013; Ridinger et al., 2017; Da Gama et al, 2018; Giel and Brewer, 2020; Orviz-Martinez et al, 2021; Downward et al., 2023), but the factors resulting in non-renewal of licenses needed to officiate is less clear in the literature.  

The internal and external factors that draw individuals to officiate sports are important motivators to keep renewing their license. When one or more of these factors dissipate or change, an official’s lagging desire to continue can result in non-renewal of the soccer refereeing license. Licenses to officiate soccer are typically renewed annually which requires a conscious decision to continue or not continue. This provides the official with the opportunity to reflect whether the benefits of officiating (e.g., financial, health, social) continue to exceed the costs (e.g. cost to renew the license, additional time away from family, job stress, verbal abuse). As very few soccer referees can rely financially on officiating income alone, the need to balance family, career, and officiating is present. The popularity of youth soccer results in a constant cadre of referees needing recruitment, introductory and advanced training, and retention at the youth and grassroots level. Past research (e.g., Gomes et al, 2021) has used Likert scales and qualitative interviews to determine factors that impact continued refereeing of soccer. This study adds to the existing literature by inviting current and former soccer officials to make a choice among the alternative factors included on the survey instrument. The method used in this study presents a direct ranking of factors not provided in Likert scales. This paper continues with a literature review of the existing literature of factors attracting individuals to officiate sports and what results in the decision to no longer referee followed by a description of our survey methodology. Our survey population included current and former U.S. Soccer Federation referees. Results are then discussed with suggestions for future research presented.  

Literature Review  

The reasons an individual becomes a sports official are complex, but often include altruistic motivations (Balch and Scott, 2007) and love of the sport (Burke, Joyner, Pim, and Czech, 2000). Furst (1991) and Balch and Scott (2007) state that officials continue to officiate for social and interpersonal reasons along with a commitment to the sport. Kellett and Shilbury (2007) discuss the importance of the social and interpersonal support provided between officials to cope with the stress of officiating sports. The stress is, in part, a reflection of the need to quickly and correctly apply the rules of the sport while being in the proper position to make a decision. Initial training of new sports officials often focuses primarily on knowing the rules of the sport with some field training to practically apply what is learned. Factors that are important to keep beginning officials engaged in officiating such forming interpersonal relationships (e.g., Furst, 1991; Balch and Scott, 2007; Kellett and Shilbury, 2007; Kellett and Warner, 2011; Baldwin and Vallance, 2016) and coping with stress (e.g., Voight, 2009) are not the primary focus of initial trainings.  

Officiating sports is a stressful experience due to the complexity of making quick decisions (Guillén and Jiménez, 2001; González-Oya, 2006; Gama et al., 2018) in an environment where positive feedback for correct decisions is limited. In younger and/or inexperienced officials, the lack of experience in these environments and ability to cope with the accompanying stress can contribute to referees no longer officiating (Cuskelly and Hoye, 2013). Prior research has focused on the connection between stressors and burnout (Rainey and Hardy, 1999; Voight, 2009; Da Gama et al., 2018; Gomes et al., 2021; Orviz-Martinez et al., 2021; Downward et al., 2023) with tools like the Burnout Inventory for Referees developed by Weinberg and Richardson (1990). Stressors experienced by sports officials are not always related to the sporting event but can be representative of other factors in their lives including work, family, and support of the organization for which they officiate (Voight, 2009; Cuskelly and Hoye, 2013).  

Reasons that individuals begin refereeing may not always be the reasons they intend to continue. Kellett and Shilbury (2007) document that the interpersonal relationships developed can overcome nervousness experienced by beginning officials. These interpersonal relationships can be a positive stressor, or an indication of commitment described in Cuskelly and Hoye (2013). These may be social in nature can result in officials who, “are likely to feel somewhat compelled to continue officiating through various social mechanisms” (Cuskelly and Hoye, 2013). The level of organizational support, or the official’s perception of support, can result in an intention to continue officiating (Rainey, 1999; Kellett and Warner, 2011).  

Giel and Breuer (2020) find the altruistic motives are not a significant factor in continuing to referee. This highlights the importance of the social relationships as the stress associated with officiating, balancing family, job, and officiating, the stress associated with maintaining the desired level of performance, or other factors can result in the official questioning their desire to continue. This contributes to the belief often expressed in the popular press that burnout and verbal abuse/physical assault are primary motivators to officials leaving the sport (Kellett and Shilbury, 2007). The ability to reframe the abuse as described in Kellett and Shilbury (2007) may limit the extent to which the perception is reality. Voight (2009) finds the conflict between family and officiating, making a controversial call, conflict between work and officiating, making the wrong call, and verbal abuse from coaches as the top stressors among college soccer officials. The least amount of stress can be attributed to the fear of physical harm (Voight, 2009).  

Methods 

The decision to not renew one’s soccer referee license reflects the costs of continuing to referee (whether financial, social, or emotional) relative to the benefits accrued by refereeing. We hypothesize that referees will consider not renewing their license prior to the actual decision where the license is not renewed (Rainey and Hardy, 1999; Cuskelly and Hoye, 2013). Factors that motivate the decision to not renew one’s license are presented in Table 1. Included factors represent those included in the literature (e.g., Furst, 1991; Rainey, 1999; Rainey and Hardy, 1999; Burke et al., 2000; Balch and Scott, 2007; Kellett and Shilbury, 2007; Cuskelly and Hoye, 2013; Johansen, 2014; Giel and Breuer, 2020) as well as those from our personal experiences refereeing and coaching soccer. After the factors shown in Table 1 were selected to include in the questionnaire, the staff and mentors of the U.S. Youth Soccer Region III Championships reviewed our factors and accompanying descriptions for thoroughness. Their suggestions are reflected in our final factors presented in Table 1.  

Use of best-worst scaling (Finn and Louviere, 1992) provides the relative importance that a factor can have on a referee’s continued interest in renewing their license. This method provides an improvement over qualitative interviews which can provide insight into motivations for referees, but not a hierarchical preference ranking that can be used by referee associations to assist in retention of referees. An additional benefit of best-worst scaling is the fact it provides a ratio scale for its results unlike a Likert rating scale that may result in the ordinal ranking not being consistent across respondents (Steenkamp and Baumgartner, 1998; Lusk and Briggeman, 2009). This provides greater insight into the obstacles for a referee to annually renew their license which can lead to increased retention efforts and educational efforts by clubs and sanctioning bodies to reduce the impact of factors resulting in non-renewal of licenses. 

Best-worst scaling provides the respondent the ability to select the factor that provides the most and least utility in a choice set which Likert scales do not provide. This approach has significant implications for marketing (Cohen, 2009; O’Reilly and Huybers, 2015; Massey, Wang, and Waller, 2015) to help identify specific factors that consumers find desirable. Use of this method has extended into the healthcare industry (Flynn et al., 2007) and the value of public information (Pruitt et al., 2014). Given J factors, there are J(J-1) combinations a respondent could select for each best-worst question. The choice of the most important factor j by individual i can by represented by λj on the utility scale with the latent level of utility determined by Iij = λj + εij which assumes that εij is the random error term. By selecting factor j as the most important factor and factor k as the least important is determined by the probability for all other J(J-1)-1 possible differences in the choice set.  

Results from best-worst scaling normally occurs through a multinomial or random parameters logit. Estimate coefficients have little interpretation aside from the magnitude of the coefficient. Preference shares for each factor’s impact on lack of interest in continuing to referee is calculated using the following equation preference share for factor.

Respondents were asked if they had actively considered not renewing their U.S. Soccer Federation (USSF) referee license in the past five years. Individuals that responded yes, were then asked best-worst questions using the factors that were identified and presented in Table 1. Using PROC OPTEX in SAS 9.4, a quasi-balanced incomplete block design (BIBD) was created. The design had a treatment D-efficiency of 90.78 and a block design D-efficiency of 99.86. This resulted in twelve best-worst questions with six factors present in each question. Each factor appeared six times to each respondent with an example of the best-worst questions is provided in Figure 1.

Figure 1. Example Best-Worst Question

Survey

A web-based Qualtrics survey was created that was distributed to current and former U.S. Soccer Federation referees implementing the best-worst questions discussed previously. Through contacts with the Tennessee Soccer Referee Program, we were able to distribute the questionnaire to 3,507 current and former referees. Our ability to contact referees who had not recertified in the previous four years is due to the Tennessee Soccer Referee Program adopting computer software that allows the program to track referees who do not re-certify from year to year. Inclusion of youth referees (between the ages of thirteen and eighteen) was approved by our university’s Institutional Review Board which allows for determination if factors vary by age. Per USSF policy, any email contact from a certified USSF assignor results in the parent/guardian also being contacted1. This resulted in parents/guardians of current and former youth referees also receiving the recruitment email. Initial questions identified if the respondent was at least eighteen years of age and then determined if the respondent was answering for themselves or as parent/guardian of a current or former youth soccer referee2. For youth referees, we included questions that determined if their parent/guardian had provided consent in addition to the minor providing assent. As the parent/guardian also received the recruitment email, email addresses for minors were collected in case the parent/guardian revoked consent necessitating removal of youth referee responses. No parent or guardian contacted us requesting removal of the youth referee’s responses.

A recruitment email was sent in early March 2023 to 3,507 current and former referees registered with USSF in the state of Tennessee with a follow-up email sent two weeks later. An incentive was offered to each respondent of a gift card worth $100 to a referee equipment supplier or a free registration for the 2023 year. Email addresses were collected at the end of the questionnaire and provided to the Tennessee Soccer Referee Program which was responsible in selecting and contacting the winners of the inducement. We received 107 usable responses for a response rate of 3.05%.

Results Demographic information is provided in Table 2. Total responses did vary by question as respondents were not required to answer every demographic question which were asked following the best-worst questions. Respondents were overwhelmingly male and Caucasian. Approximately forty percent of respondents were less than twenty-five years of age and an additional twenty-five percent between the ages of forty-three and fifty-four. Over sixty percent who responded were no longer refereeing soccer with approximately two-thirds believing they were assigned the appropriate number of matches given their skill and ability level. Those receiving the questionnaire were asked an open-ended question on how many years they refereed soccer. Of the 110 responses, many did not provide an exact number. For those who provided an exact number, the average number of years that survey participants had refereed was 8.63 years. Given responses not included in this calculation that stated they had refereed 10+, 20+, or 50+ years, this estimate of 8.63 understates the longevity of referees in this research. A histogram of responses for this question is presented in Figure 2. More than three-quarters of respondents refereed no more than sixty matches a year with the majority refereeing less than fifteen matches annually. Over ninety percent of respondents only refereed soccer. Nearly seventy percent of respondents had suffered verbal abuse in the past two years with approximately five percent having suffered a physical assault (e.g., touched, pushed, shoved, punched, kicked, or spat on) by a player, coach, fan, or parent. Parents and coaches were most likely to have been the source of verbal abuse with players being the source of physical assault.

As we were able to include youth referees (less than eighteen years old), we conducted t-tests for significant differences in means between those who had actively considered not renewing their USSF licenses for youth and adult referees. We did not test for differences in means in age and educational attainment categories since we compared those less than eighteen of ages to all other ages in this comparison. Differences in the mean at the 5% level of significance (p<0.05) were found in these groupings with less than fifteen matches officiated, whether the respondent felt they were under assigned, assigned the right number of matches for their skill/ability level, and whether they play organized soccer. Table 2 includes these results.

Table 2. Demographic Information

VariableMeanStandard Deviation
Gender (n=111)  
Male75.68%0.43
Female23.42%0.43
Prefer Not to Say0.90%0.09
Ethnicity (n=111)  
Caucasian76.58%0.43
African American0.00%0.00
Hispanic5.41%0.23
Native American0.00%0.00
Asian0.00%0.00
Multi-racial6.31%0.24
Other2.70%0.16
Prefer Not to Say5.41%0.23
Age (n=111)  
13-1722.52%0.42
18-2421.62%0.41
25-308.11%0.27
31-366.31%0.24
37-421.80%0.13
43-4811.71%0.32
49-5413.51%0.34
55-603.60%0.19
Over 6010.81%0.31
Education Level (n=111)  
Currently in Middle/High School27.03%0.45
High School Diploma or GED0.00%0.00
Trade, vocational, or technical school4.50%0.21
Associate Degree4.50%0.21
Bachelor’s Degree27.93%0.45
Master’s Degree15.32%0.36
Doctoral or Professional Degree7.21%0.26
Prefer Not to Say1.80%0.13
Household Income (n=110)  
Less than $40,00010.00%0.30
$40,000 to $60,0009.09%0.29
$60,001 to $80,0008.18%0.28
$80,001 to $100,0005.45%0.23
Greater than $100,00040.00%0.49
Prefer Not to Say27.27%0.45

Table 2. Continued

VariableMeanStandard Deviation
Residence (n=111)  
Urban Area14.41%0.35
Suburban Area66.67%0.39
Rural Area18.92%0.47
Levels Officiated1  
Youth recreational33.46% 
Club28.31% 
AYSO7.35% 
High School16.18% 
College3.68% 
Adult Amateur/Recreational10.29% 
Professional0.74% 
Approximate number of annual matches  
Less than 1530.91%20.46
16-3019.09%0.39
31-4513.64%0.34
46-6012.73%0.33
61-755.45%0.23
76-908.18%0.28
91-1052.73%0.16
Over 1057.27%0.26
Proper Assigning Level (n=109)  
Under assigned25.69%20.44
Over assigned7.34%0.26
Right number66.97%20.47
Sports Officiated besides Soccer  
None92.73%0.26
1-26.36%0.25
3-40.91%0.10
5 or more0.00%0.00
Play Organized Soccer (n=110)43.64%20.50
Verbally Abused in Last Two Years (n=109)68.81%0.47
Source of Verbal Abuse1  
Player18.96% 
Coach27.01% 
Fan22.27% 
Parent31.75% 

Table 2. Continued

VariableMeanStandard Deviation
Physically Assaulted in Last Two Years (n=109)4.59%0.21
Source of Physical Assault1  
Player  
Coach  
Fan  
Parent  
Injury of at Least Four Weeks (n=109)11.93%0.33
Attend Continuing Education (n=110)  
Once a year28.18%0.45
Twice a year7.27%0.26
Three to four times a year10.00%0.30
At least five times a year0.00%0.00
Does not attend47.27%0.50
Accepts unsanctioned matches (n=110)12.73%0.33
Anticipates refereeing soccer: (n=110)  
No longer refereeing60.91%0.49
Less than one year7.27%0.26
One to two years12.73%0.33
Three to four years8.18%0.28
At least five years10.91%0.31

1 Question allowed multiple responses and standard deviations are not presented as a result.
2 Denotes significant differences at the 5% level (p<0.05) between youth and adult referees who had actively considered not renewing their license.

Non-Renewal of Referee License

Respondents who answered they had actively considered not renewing their license in the past five years were shown a series of questions asking them to select the most and least important factors impacting why they would not renew their refereeing license. As our sample included youth referees (those less than 18 years of age), we estimated a combined model for all referees responding against the alternative models of youth and adult referees. Each of these models was estimated using a multinomial logit (MNL), an uncorrelated random parameters logit (RPL), and a correlated random parameters logit model. Significant differences were found to exist between youth and adult referees who were considering not renewing resulting in separate models being estimates for youth and adult referees. Likelihood ratio tests favored the use of MNL model for both youth and adult referees.

Youth Referees

Results for youth referees are presented in Table 3 uses Work as the base factor with results. Estimates for the MNL and RPL models are presented with the MNL preferred by use of a likelihood ratio test. Aside from their magnitude, the econometric estimates in Table 3 have no natural interpretation and equation 1 was used to calculate the shares of preference that are presented. The shares of preference for the uncorrelated RPL model were generated from 1,000 random draws using a normal distribution of the mean and standard deviation of a specific factor that might result in a referee not renewing their USSF license. Shares of preference were consistent between the two modeling techniques as there was not greater than ±0.01% difference for any factor. The cost to referee (i.e., Afford) was the number one reason that youth referees had considered not renewing their USSF license. This factor includes the inability to make it to matches for youth referees reflecting the need for an adult or friend to help them make it to assignments. Note that even with a small sample size of youth referees, fifteen of the eighteen youth referees were no longer refereeing. The youth referee’s opinion on how well they were assigned was the second most important factor with the lack of Respect from fans, players, and coaches third (depending on the model used). It should be noted that the fourth most important factor was Game Fees, indicating the cost to benefit ratio for youth referees is contributing to non-renewals. The use of best-worst scaling provides a clearer view of the magnitude of factors resulting in youth referees not renewing their licenses through the direct comparisons with the lack of Respect relatively not as important as other factors.

Table 3.  Relative Importance of Factor Impacting Non-Renewal of Youth Referee Licenses

FactorEconometric EstimatesShares of Preference
 MNLRPLMNLRPL
Respect0.995***1.000***0.1530.153
 (0.255)a(0.256)[0.000][0.002]
 [0.000]b[0.018]  
Youth Involvement-0.761***-0.763***0.0270.026
 (0.252)(0.254)[0.000][0.000]
 [0.000][0.000]  
Social Aspects0.271***0.2700.0740.074
 (0.258)(0.265)[0.000][0.002]
 [0.000][0.172]  
Family Commitments-0.865***-0.859***0.0240.024
 (0.243)(0.246)[0.000][0.000]
 [0.000][0.001]  
Injury-0.491*-0.496*0.0350.034
 (0.256)(0.258)[0.000][0.001]
 [0.000][0.000]  
Lack of Opportunities to Advance-0.189-0.1880.0470.047
 (0.255)(0.257)[0.000][0.001]
 [0.000][0.002]  
Cost to Referee1.123****1.130***0.1740.174
 (0.255)(0.256)[0.000][0.002]
 [0.000][0.005]  
Age-1.178***-1.138***0.0170.018
 (0.248)(0.279)[0.000][0.001]
 [0.000][0.355]  
Assigning0.999***1.009***0.1540.155
 (0.255)(0.258)[0.000][0.002]
 [0.000][0.031]  
Game Fees0.913***0.915***0.1410.141
 (0.265)(0.267)[0.000][0.003]
 [0.000][0.001]  
Lack of Organizational Support0.524**0.529**0.0960.096
 (0.258)(0.259)[0.000][0.001]
 [0.000][0.001]  
Work0.0000.0000.0570.058
(Base Factor)  [0.000][0.015]
     
Log Likelihood-625.138-624.910  
McFadden’s LRI0.0940.149  
Number of Respondents1818  

            ***, **, and * asterisks represent the factor is significantly different from the Work factor at the 1%, 5%, and 10% level, respectively.

a Numbers in parentheses are standard errors.
b numbers in brackets are standard deviations.

In addition to the shares of preference presented in Table 3, we generated Pearson correlations from the individual specific RPL estimates shown in Table 4. Several factors had correlations with at least ±0.3 with another factor. Given the limited number of responses, care should be taken when viewing Table 4, but it provides an indication of how youth referees view these factors influencing their decision to not continue refereeing. The more likely a youth referee viewed the lack of Social camaraderie, the higher an injury might factor into a non-renewal decision. Importantly, the lack of Social connections had a strong direct relationship with their views of Organizational Support provided to them. Concerns about how many games the referee was assigned had a positive relationship with Game Fees being an important factor in the decision to not renew the license. Game Fees tended to have large (positive or negative) correlations with many factors that were included in this research.

Table 4.  Pearson Correlations Between Factors from Individual Specific RPL Estimates of Youth Referees

Factor1234567891011
Respect (1)1.000          
Youth Involvement (2)0.0071.000         
Assign (3)-0.1400.1771.000        
Social (4)-0.1760.410-0.3011.000       
Injury (5)-0.007-0.439-0.4940.5051.000      
Advance (6)-0.211-0.8320.0180.2220.2121.000     
Age (7)0.1640.8740.100-0.248-0.448-0.9191.000    
Cost (8)-0.043-0.159-0.2640.2270.079-0.0730.0961.000   
Game Fees (9)-0.1230.7250.476-0.569-0.737-0.5380.694-0.0461.000  
Organizational Support (10)0.097-0.338-0.1720.5140.5440.189-0.3320.249-0.6691.000 
Family (11)-0.326-0.753-0.0300.4890.5640.723-0.860-0.025-0.6100.5311.000

Adult Referees

Results for adult referees who had considered not renewing their USSF license are presented in Table 5. As with youth referees, a MNL model was preferred to an uncorrelated RPL model with the estimates from both models presented. Unlike youth referees, the lack of Respect experienced by adult referees is the primary reasons resulting in the non-renewal decision. Work commitments or a change in them was the second most important factor. Nearly two-thirds of adult referees who had considered not renewing their license were no longer refereeing; fifteen were considering not renewing in more than the next two years with only four considering refereeing at least four more years.

Table 5.  Relative Importance of Factor Impacting Non-Renewal of Adult Referee Licenses

FactorEconometric EstimatesShares of Preference
 MNLRPLMNLRPL
Respect0.558***0.568***0.2370.238
 (0.113)(0.114)[0.000][0.003]
 [0.000][0.028]  
Youth Involvement-1.571***-1.582***0.0280.028
 (0.117)(0.119)[0.000][0.000]
 [0.000][0.004]  
Social Aspects-1.313***-1.312***0.0360.036
 (0.118)(0.131)[0.000][0.001]
 [0.000][0.3480]  
Family Commitments-0.688***-0.688***0.0680.068
 (0.112)(0.131)[0.000][0.002]
 [0.000][.450]  
Injury-0.794***-0.795***0.0610.061
 (0.117)(0.118)[0.000][0.001]
 [0.000][0.010]  
Lack of Opportunities to Advance-0.828***-.833***0.0590.059
 (0.116)(0.117)[0.000][0.001]
 [0.000][0.001]  
Cost to Referee-.481***-0.474***0.0840.084
 (0.115)(0.116)[0.000][0.001]
 [0.000][0.016]  
Age-1.455***-1.468***0.0320.031
 (0.117)(0.127)[0.000][0.001]
 [0.000][0.179]  
Assigning-0.491***-0.482***0.0830.083
 (0.116)(0.117)[0.000][0.001]
 [0.000][0.001]  
Game Fees-0.350***-0.348***0.0950.095
 (0.120)(0.121)[0.000][0.002]
 [0.000][0.009]  
Lack of Organizational Support-0.510***-0.514***0.0810.081
 (0.115)(0.116)[0.000][0.001]
 [0.000][0.001]  
Work0.0000.0000.1350.135
(Base Factor)  [0.000][0.014]
     
Log Likelihood-2843.485-2838.531  
McFadden’s LRI0.0660.097  
Number of Respondents7777  

***, **, and * asterisks represent the factor is significantly different from the Work factor at the 1%, 5%, and 10% level, respectively.

a Numbers in parentheses are standard errors.
b numbers in brackets are standard deviations.

As with the youth referees, Pearson correlations for the adult referees are presented in Table 6. A greater response rate among adults compared to youth referees provides more robustness in the correlations that are presented. It is interesting to note the strong negative correlation between Game Fees and Assign (-0.591) suggesting concerns about pay is not tied to assigning. Concerns about Game Fees and the ability to Advance had a strong positive relationship (0.607) indicating adult referees view the pay for higher level games isn’t a strong enough incentive to advance. Those referees who rated the inability to Advance highly was negatively correlated (-0.611) with concerns about being over or under assigned (Assign).

Table 6.  Pearson Correlations Between Factors from Individual Specific RPL Estimates of Adult Referees

Factor1234567891011
Respect (1)1.000          
Youth Involvement (2)0.0631.000         
Assign (3)-0.304-0.5781.000        
Social (4)-0.105-0.0520.0171.000       
Injury (5)0.1530.533-0.587-0.1241.000      
Advance (6)0.3000.387-0.6110.2170.4181.000     
Age (7)-0.172-0.2300.089-0.192-0.115-0.2871.000    
Cost (8)0.2750.179-0.4600.0280.1960.542-0.2821.000   
Game Fees (9)0.0460.444-0.591-0.1240.4010.607-0.0150.3361.000  
Organizational Support (10)0.129-0.036-0.055-0.0690.049-0.334-0.0930.007-0.1971.000 
Family (11)-0.255-0.2790.574-0.136-0.543-0.3380.147-0.483-0.3230.0361.000

Conclusions

Concerns about retaining sports officials are a pressing factor for many sports with referee abuse a concern among leagues and official associations. Factors influencing the decision to not renew referee licenses are not well understood in the literature. Prior research has focused on qualitative factors impacting the renewal decision which doesn’t quantitatively rank factors included in the research. This research surveyed current and former referees who had actively considered not renewing their referee license with a majority no longer refereeing soccer. There were significant differences between youth and adult referees in the factors that had led them to consider not renewing their referee license. For youth, the cost to referee and concerns about being over- or under-assigned were the top two reasons for considering not renewing their license compared to adults who were more concerned about the lack of respect and work commitments. For both age groups, concerns about organizational support were significant factors as it relates to continuing refereeing.

Our study is limited by the small sample size, but it is an important look into the factors that resulted in a majority of referees no longer renewing their U.S. Soccer Federation license. While we do not focus on the well-being of referees as in Downward and Webb (2023), our findings are consistent with theirs that a zero-tolerance approach will aid in adult referee retention. This reinforces the need for organizational support (Rainey, 1995; Voight, 2007; Ridinger et al., 2017; Downward and Webb, 2023), but also requires training by those organizations on what to include in post-match reports to have the backing. As over 75% of respondents in our survey did not attend more than one continuing education session annually, sanctioning bodies and referee associations need innovative ideas to aid in reaching this objective.

Future research should focus on expanding this to referees who have not recently considered non-renewal of their referee licenses. This portion of the referee community will likely have different factors motivating their continued renewals as was demonstrated by the differences observed in this paper based on the age of the referee. Identification of the factors that aid in retention of these referees may aid in development of strategies to limit the impact of factors discussed in this research. Given the nature of soccer in the U.S., future research should better control for the differences in length of refereeing and level officiated (e.g., recreational versus club). With the number of young referees who work matches in the U.S., the skills necessary to be successful may not have been developed to handle the stressors commonly associated with officiating (Rainey, 1995; Rainey and Hardy, 1999; Burke et al., 2000; Voight, 2009; Gomes et al., 2021). A more diverse respondent pool, in terms of locality, gender, and ethnicity, is also needed to better understand why referees continue to engage in a stressful avocation.

Acknowledgements

The authors express appreciation to Don Eubank, State Referee Administrator for Tennessee Soccer, for sending the questionnaire to soccer referees in the state and providing the incentive for respondents to complete the questionnaire. We also thank the staff and mentors of U.S. Youth Soccer Region III for helpful feedback on an early draft of the questionnaire. The authors are grateful for the helpful edits and suggestions from Marco Palma on an earlier draft of this paper.

Conflicts of Interest

J. Ross Pruitt is an active soccer referee with the U.S. Soccer Federation, Tennessee Secondary School Athletic Association, and National Intercollegiate Soccer Official Association.

References

  1. Balch, M. J., & Scott, D. (2007). Contrary to Popular Belief, Refs are People Too! Personality and Perceptions of Officials. Journal of Sport Behavior, 30(1).Baldwin, Christopher, and Roger Vallance. “Rugby Union Referees’ Experiences with Recruitment and Retention,” n.d.
  2. Burke, K. L., Joyner, A. B., Pim, A., & Czech, D. R. (2000). An exploratory investigation of the perceptions of anxiety among basketball officials before, during, and after the contest. Journal of Sport Behavior, 23(1).Cohen, E. (2009). Applying best-worst scaling to wine marketing. International Journal of Wine Business Research, 21(1), 8-23. https://doi.org/10.1108/17511060910948008.
  3. Conlon, C. (2022, September 13). Years-long Montana referee shortage getting worse as cancellations loom. Q2 News (KTVQ). https://www.ktvq.com/news/local-news/years-long-referee-shortage-getting-worse-as-cancellations-loom. Accessed June 13, 2023.
  4. Cuskelly, G., & Hoye, R. (2013). Sports officials’ intention to continue. Sport Management Review, 16(4), 451-464.
  5. Da Gama, D. R. N., Nunes, R. D. A. M., Guimarães, G. L., Leandro De Lima, E. S., De Castro, J. B. P., & Vale, R. G. D. S. (2018). Analysis of the burnout levels of soccer referees working at amateur and professional leagues of Rio de Janeiro, Brazil. Journal of Physical Education and Sport, 18, 1168-1174.
  6. Downward, P., Webb, T., & Dawson, P. (2023). Referee abuse, intention to quit, and well-being. Research quarterly for exercise and sport, 1-11.
  7. Finn, A., & Louviere, J. J. (1992). Determining the appropriate response to evidence of public concern: the case of food safety. Journal of Public Policy & Marketing, 11(2), 12-25.
  8. Flynn, T. N., Louviere, J. J., Peters, T. J., & Coast, J. (2007). Best–worst scaling: what it can do for health care research and how to do it. Journal of health economics, 26(1), 171-189.
  9. Furst, D. M. (1991). Career contingencies: Patterns of initial entry and continuity in collegiate sports officiating. Journal of Sport Behavior, 14(2), 93.
  10. Giel, T., & Breuer, C. (2020). The determinants of the intention to continue voluntary football refereeing. Sport Management Review, 23(2), 242-255.
  11. Gomes, A. R., Fontes, L. M. C., Rodrigues, M., & Dias, B. (2021). Burnout in referees: Relations with stress, cognitive appraisal, and emotions. González-Oya, J. Psicología Aplicada al Árbitro de Fútbol: Características Psicológicas y su Entrenamiento; Wanceulen: Sevilla, Spain, 2006.
  12. Guillén, F., & Feltz, D. L. (2011). A conceptual model of referee efficacy. Frontiers in psychology, 2, 25.
  13. Guillén García, F., & Jiménez Betancort, H. (2001). Características deseables en el arbitraje y el juicio deportivo. Revista de psicología del Deporte.
  14. Hamacher, B. (2023, January 25). Soccer player arrested after video shows him attacking referee in Kendall: Police. NBC 6 South Florida. https://www.nbcmiami.com/news/local/soccer-player-arrested-in-kendall-referee-attack-caught-on-camera-police/2957549/. Accessed June 13, 2023.
  15. Jacobs, B. L., Tingle, J. K., Oja, B. D., & Smith, M. A. (2020). Exploring referee abuse through the lens of the collegiate rugby coach. Sport Management Review, 23(1), 39-51.
  16. Johansen, B. T. (2015). Reasons for officiating soccer: the role of passion-based motivations among Norwegian elite and non-elite referees. Movement & Sport Sciences-Science & Motricité, (87), 23-30.
  17. Kellett, P., & Shilbury, D. (2007). Umpire participation: Is abuse really the issue?. Sport Management Review, 10(3), 209-229.
  18. Kellett, P., & Warner, S. (2011). Creating communities that lead to retention: The social worlds and communities of umpires. European Sport Management Quarterly, 11(5), 471-494.
  19. Lusk, J. L., & Briggeman, B. C. (2009). Food values. American journal of agricultural economics, 91(1), 184-196.
  20. Massey, G. R., Wang, P. Z., Waller, D. S., & Lanasier, E. V. (2015). Best–worst scaling: A new method for advertisement evaluation. Journal of Marketing Communications, 21(6), 425-449.
  21. Medina, E. (2022, April 21). Bad behavior drove a referee shortage. Covid made it worse. The New York Times. https://www.nytimes.com/2022/04/21/sports/referee-shortage-youth-sports.html. Accessed June 13, 2023.
  22. Mendola, N. (2014, July 31). Testimony in death of Michigan referee provides disturbing glimpse into incident – NBC Sports. NBC Sports. https://soccer.nbcsports.com/2014/07/31/testimony-in-death-of-michigan-referee-provides-disturbing-glimpse-into-incident/. Accessed June 13, 2023.
  23. Legislation status – National Association of Sports Officials. (2023, October 12). National Association of Sports Officials. https://www.naso.org/resources/legislation/legislation-status/. Accessed November 1, 2023.
  24. O’Reilly, N., & Huybers, T. (2015). Servicing in sponsorship: A best-worst scaling empirical analysis. Journal of sport management, 29(2), 155-169.
  25. Referee drilled by two Texas high school football players was a Fill-In. (2015, September 9). NBC News. https://www.nbcnews.com/news/us-news/referee-pummeled-two-texas-high-school-football-players-was-fill-n424346. Accessed June 13, 2023.
  26. Orviz-Martínez, N., Botey-Fullat, M., & Arce-García, S. (2021). Analysis of burnout and psychosocial factors in grassroot football referees. International Journal of Environmental Research and Public Health, 18(3), 1111.
  27. Pruitt, J. R., Tonsor, G. T., Brooks, K. R., & Johnson, R. J. (2014). End user preferences for USDA market information. Food Policy, 47, 24-33.
  28. Rainey, D. (1995). Sources of stress among baseball and softball umpires. Journal of Applied Sport Psychology, 7(1), 1-10.
  29. Rainey, D. W. (1999). Sources of stress, burnout, and intention to terminate among basketball referees. Journal of sport behavior, 22(4), 578-590.
  30. Rainey, D. W., & Cherilla, K. (1993). Conflict with baseball umpires: An observational study. Journal of Sport Behavior, 16(1), 49-60.
  31. Rainey, D. W., & Hardy, L. (1999). Sources of stress, burnout and intention to terminate among rugby union referees. Journal of Sports Sciences, 17(10), 797-806.
  32. Ridinger, L. L., Warner, S., Tingle, J. K., & Kim, K. R. (2017). Why referees stay in the game. Global Sport Business Journal, 5(3), 22.
  33. Steenkamp, J. B. E., & Baumgartner, H. (1998). Assessing measurement invariance in cross-national consumer research. Journal of consumer research, 25(1), 78-90.
  34. Titlebaum, P. J., Haberlin, N., & Titlebaum, G. (2009). Recruitment and retention of sports officials. Recreational Sports Journal, 33(2), 102-108.
  35. Voight, M. (2009). Sources of stress and coping strategies of US soccer officials. Stress and Health: Journal of the International Society for the Investigation of Stress, 25(1), 91-101.
  36. Warner, S., Tingle, J. K., & Kellett, P. (2013). Officiating attrition: The experiences of former referees via a sport development lens. Journal of Sport Management, 27(4), 316-328.
  37. Weinberg, R. S., & Richardson, P. A. (1990). Psychology of officiating. Leisure Press.
  38. Weir, G. (2022, September 10). Arkansas High School Football Game Put On Pause After Elderly Fan Tries To Attack Referee. OutKick. https://www.outkick.com/arkansas-high-school-football-fan-attacks-referee-friday-night-lights/. Accessed June 13, 2023.
  39. Wolfson, S., & Neave, N. (2007). Coping under pressure: Cognitive strategies for maintaining confidence among soccer referees. Journal of Sport Behavior, 30(2), 232-247.
  40. Yurkevich, V. (2023, May 18). America has an umpire shortage. unruly parents aren’t helping | CNN Business. CNN. https://www.cnn.com/2023/05/18/business/umpire-shortage-parent-behavior/index.html. Accessed June 13, 202
2024-05-08T12:27:56-05:00May 31st, 2024|General, Sports Coaching, Sports Management|Comments Off on For the Good of the Game: What Keeps Soccer Referees from Renewing Their Licenses
Go to Top