Efficacy of 12-Week Handgrip Strength Training Program Amongst Older Adults: A Pilot Study 

Author’s: Abbey Keller1, David Cason1, Shannon Hardy2, Madison Norris2, Angila Berni1, Michel Heijnen1, Alexander McDaniel1, Lindsey Schroeder1, Tiago Barriera3, Wayland Tseh1

1 School of Health and Applied Human Sciences, University of North Carolina Wilmington, Wilmington, North Carolina, United States of America

2 Carolina Bay at Autumn Hall, 630 Carolina Bay Drive., Wilmington, North Carolina, United States of America

3 School of Education, Syracuse University, Syracuse, New York, United States of America 

Corresponding Author: 

Lindsey H. Schroeder, Ed.D., LAT, ATC, CES

University of North Carolina Wilmington
School of Health & Applied Human Sciences

601 South College Road
Wilmington, NC 28403-5956
O: (910) 962-7188

F: (910) 962-7073

ABSTRACT 

Handgrip strength is indicative of overall health and longevity. The significance of a strong grip increases with age as it relates to lower mortality rates and improved functional capacity.

PURPOSE: To evaluate the effectiveness of a 12-week handgrip strength training program amongst older adults. METHODS: A total of 12 participants (mean age = 82.7 ± 4.8 years; height = 160.7 ± 7.4 cm; body mass = 64.2 ± 13.9 kg; 2 males; 10 females) completed the 12-week exercise intervention. The participants engaged in a twice-weekly, 45-minute suspension training regimen that incorporated a range of exercises targeting upper body strength and stability. Handgrip strength was assessed via a handgrip dynamometer at baseline and post-intervention. A paired samples t-test was employed to assess differences between pre-and post-intervention grip strength. A Bonferroni correction was applied to mitigate the risk of Type I error due to multiple comparisons, setting the adjusted alpha level at p = 0.025. Effect sizes were calculated using Cohen’s d to assess the practical significance of the findings. RESULTS: The analysis revealed a statistically significant improvement in right-handgrip strength, with values increasing from 21.5 ± 1.3 kg in Week 1 to 23.0 ± 1.4 kg in Week 12 (p = 0.006). No significant improvement was observed in left-handgrip strength (20.2 ± 1.2 kg to 21.1 ± 1.5 kg; p = 0.12). The right handgrip strength demonstrated a large effect (d = 0.99), whereas the left handgrip strength exhibited a moderate effect (d = 0.48). CONCLUSION: Findings from this study suggest that the 12-week suspension training and handgrip strength exercise regimen was both statistically and practically effective in increasing HGS in older adults. PRACTICAL APPLICATIONS: Allied healthcare professionals should educate older adults on the importance of HGS and incorporate targeted exercises into their regimens to mitigate age-related functional decline and promote better outcomes.

KEYWORDS: Suspension Training, Longevity, Handgrip Strength

INTRODUCTION 

By the year 2050, the global population of older adults is projected to reach 2.1 billion (10). As this demographic shift occurs, various risks associated with aging, including falls, cognitive decline, and impaired longevity and quality of life, become increasingly concerning (8, 14, 45). A crucial yet frequently underappreciated factor contributing to falls and other age-related risks is diminished handgrip strength (HGS), which impairs an individual’s capacity to stabilize themselves and prevent injuries (16, 19). Research suggests that HGS is representative of overall body strength (1). Handgrip strength is defined as the maximum amount of force the hand generates when gripping an object. Thresholds for HGS required to perform functional tasks in older adults are estimated at greater than 18.5 kg for females and 28.5 kg for males (2). Beyond serving as a measure of physical strength, HGS is also a strong predictor of longevity and overall quality of life, making it especially relevant in the context of aging (1). Comprehending the relationship between HGS and other fitness components is essential for devising effective strategies to preserve functional independence and enhance quality of life, particularly as the global population experiences unprecedented aging trends.

According to the Centers for Disease Control and Prevention (CDC), falls represent the leading cause of mortality among individuals aged 65 years and older. Annually, approximately 36 million older adults experience falls, with 32,000 cases resulting in fatal outcomes (4). Falls impact the quality of life by jeopardizing health, mobility, and independence. Although multiple factors influence fall risk, prioritizing interventions to improve HGS may offer a practical and impactful approach to reducing the incidence of falls among older adults (24).

In 2016, Szulc and colleagues examined 890 men aged 50 and older, assessing appendicular skeletal muscle mass (ASM), physical function, and HGS (42). Over a 5-year follow-up period, 813 participants aged 60 and above were monitored, of whom 144 experienced multiple falls. Findings from this research investigation revealed that those who sustained Grade 2 or Grade 3 vertebral fractures and multiple fractures had reduced HGS, decreased physical function, and an increased risk of multiple falls (42).

The number of global dementia cases is expected to almost triple from 57.4 million cases in 2019 to 152.8 million in 2050 (17). That said, aging significantly elevates the risk of cognitive decline, potentially leading to a loss of independence and other adverse outcomes. Although many factors are involved in preventing and treating cognitive decline and related illnesses, HGS may play a key role in determining who is at risk for these diseases. Physical impairments, such as diminished HGS, can interact with other factors to amplify the risk of age-related cognitive decline (7, 18). Consequently, investigating the relationship between HGS and cognitive function is essential for addressing the challenges of an aging global population.

In 2022, Orchard et al. evaluated both gait speed and HGS as predictors of cognitive decline and dementia (36). The participants were community-dwelling older adults who were cognitively intact at the onset of the study. Researchers assessed each participant’s 3-meter walk time and measured their HGS. A 4.7-year median follow-up was used to gather data on the prevalence of cognitive decline and dementia among participants. Slower walking gait and low HGS were independently related to an increased incident risk of dementia and cognitive decline. When these variables were combined, slow walking gait and low HGS were associated with a 79% increase in the risk of dementia development and a 43% increased risk of cognitive decline (36).

Precursory research has revealed that a culmination of exercise methods, including resistance training, Vitality Acupunch training program, multi-modal training, and suspension training (ST), can impact the HGS of older adults (2, 3, 10, 21, 23, 25, 26, 44). Among these, ST programs, such as total resistance exercise (TRX), stand out as accessible and adaptable methods. Due to the nature of ST, users possess the unique opportunity to train in several different facets of fitness at differing scalable resistances in a single bout of exercise (27). The suspension training system enables individuals to perform strength exercises adapted to their unique capabilities, offering progressive resistance to facilitate individualized strength development (15, 27).

In 2018, Campa, Silva, and Toselli conducted a study to determine the effects of a 12-week ST intervention on the phase angle and HGS of female older adults. Thirty older women were randomly assigned to either a control or training group. Participants in the control group continued their usual activities throughout the study, while those in the training group underwent a 12-week ST program. Both groups were assessed on various fitness parameters, including HGS. At the conclusion of the study, researchers found that ST promoted improvements in HGS in older women (3).

In 2022, Pierle and associates conducted a study to examine the efficacy of a 6-week ST program on a sample of 11 older individuals (37). The fitness parameters of interest were functional reach, overall balance, body fat, body mass, and HGS. While this study demonstrated improvements in functional reach and overall balance, body fat, body mass, and HGS showed no significant changes. These findings suggest that ST may be an effective exercise modality for enhancing certain aspects of fitness in older adults. However, further investigation is crucial to understand its impact on HGS better and determine whether ST can optimize strength outcomes in this population (37).

Against this backdrop, given the dearth of research examining the effects of ST protocols on HGS and the relationship between HGS and fall prevention, further investigation is imperative to elucidate the potential benefits of ST, especially amongst the older adult population. Therefore, the primary purpose of this study is to fill this critical gap by evaluating the efficacy of a 12-week ST and HGS exercise program in enhancing handgrip strength in this population. The apriori hypothesis posits that significant improvements in HGS will be observed between pre- and post-assessment measurements, underscoring the potential of ST and HGS as a targeted intervention to improve strength and reduce fall risk among older adults.

METHODS 

Participants

Prior to participating in this study, participants were screened using inclusionary and exclusionary criteria. The inclusion requirements included participants who currently exercise, are older than 55 years of age, and are independent of assistive walking devices (e.g., walker, rollator, wheelchair, etc.). The exclusionary criteria included participants not having a medical release form on record, being overwhelmed by the exercise routine, specifically, mild increases in heart rate and blood pressure during exercise, or possessing a pacemaker or other internally implanted device. All participants, therefore, were required to have a medical release to participate. This study was approved by the university’s institutional review board and adhered to the practice of ethical research standards.

All participants were recruited from a local retirement community and were required to report to the Wellness Center onsite for 24 sessions over 12 weeks. Flyers were posted, and those interested were instructed to sign up for an appointment with the principal investigator (PI) to complete the protocol requirements. Participants were encouraged to contact the PI or co-PI by phone or email if any question(s) arose or if any of the requirements remained unclear.

Upon arrival for the pre-assessment session, participants read/signed/dated an informed consent form approved by the University’s Institutional Review Board (IRB) for human subject use (IRB#: H24-0565). Ten females and 2 males (Age = 82.7 ± 4.8 years; Height = 160.7 ± 7.4 cm; Body Mass = 64.2 ± 13.9 kg), completed the 12-week exercise intervention.

Protocol

Once the informed consent was obtained, pre-assessment data was collected. All participants were instructed to remove footwear, socks, and stockings before stepping onto the scale. Height (cm) and body mass (kg) were assessed via Seca 217 Mobile Stadiometer (Model Number 2171821009, USA). The participant’s height and body mass results were displayed and recorded via a data collection sheet. Grip strength was assessed via the Smedley Creative Health Products III Analog Grip Strength Dynamometer (T.K.K. 5001, Japan). Participants were instructed to maintain the standard bipedal position during the entire test with the arm in complete extension and to avoid touching any part of the body with the handgrip dynamometer except the hand being measured. Participants comfortably grasped the handgrip dynamometer and were encouraged to exert maximal grip.

Three trials, with brief pauses, were allowed for each hand alternately. The sum of the highest left and right values was recorded on the data collection sheet. The PI was the lead exercise instructor of the 12-week exercise intervention. The PI took attendance, organized, and provided corrective feedback/instructions during each exercise session. A team of fitness instructors at the retirement community and a research assistant also led these classes by providing feedback to participants and keeping each session organized. The exercise intervention required participants to attend two sessions per week for 12 weeks, with each class being 45 minutes. Attendance was recorded at the start of each class to keep track of the adherence rate. Every session consisted of seven strength training exercises in a circuit style (Table 1), followed by a grip strength series consisting of four exercises (Table 2).

Strength training exercises were advanced every 4 weeks, specifically, progressing from 30-second intervals (first micro-cycle) to 35 seconds (second micro-cycle) to 40 seconds (final micro-cycle). The Farmer’s Carry exercise specifically intensified each micro-cycle, starting with holding one dumbbell each set, then holding one dumbbell each set vertically upright by the head of the weight, and finally holding the head of a dumbbell in each hand. The grip strength series progressed throughout the 12-week intervention, starting with one set of each exercise for 15 seconds per hand in the first 4 weeks and followed by 8 weeks of performing each exercise for two sets of 15 seconds. Each session started with a 5-minute warm-up, followed by 35 minutes of exercise, and concluded with a 5-minute cooldown. The 12-week exercise training intervention took place as a group fitness class in the fitness center of a local retirement community, giving participants the advantage of working with partners for each exercise, increasing accountability and motivation. The TRX suspension training (ST) allowed users to exercise in a customizable and scalable capacity that fits their personal specifications, comfort, and intensity levels (27). Additionally, the PI used a timed-circuit style class versus measuring each exercise based on repetition, allowing participants to perform at their own intensified pace.

Statistical Analysis

A paired samples t-test was employed to assess differences between pre-and post-intervention grip strength. To mitigate the risk of Type I error due to multiple comparisons, a Bonferroni correction was applied, setting the adjusted alpha level at p = 0.025. Effect sizes were calculated using Cohen’s d to assess the practical significance of the findings. 

RESULTS 

The primary objective of this study was to evaluate the efficacy of a 12-week exercise intervention on handgrip strength (HGS) in a population of community-dwelling older adults. Sixteen participants were initially recruited; however, four withdrew during the study, resulting in a final sample size of 12 participants (Age = 82.7 ± 4.8 years; Height = 160.7 ± 7.4 cm; Body Mass = 64.2 ± 13.9 kg; 2 males and ten females). Attendance was monitored at each session, yielding an average adherence rate of 83%. The adherence rate remained consistent throughout this study.

A paired-sample t-test was conducted to assess differences between pre- and post-intervention measurements. A Bonferroni correction was applied to mitigate the risk of Type I errors due to multiple comparisons, resulting in an adjusted alpha level of p = 0.025. Effect sizes were quantified using Cohen’s d, with thresholds of 0.2, 0.5, and >0.8 representing small, medium, and large effects, respectively.

The analysis revealed a statistically significant improvement in right-hand grip strength, which increased from 21.5 ± 1.3 kg at baseline (Week 1) to 23.0 ± 1.4 kg post-intervention (Week 12, p = 0.006). In contrast, no statistical improvement was observed for left-hand grip strength (20.2 ± 1.2 kg to 21.1 ± 1.5 kg, p = 0.12). The effect size for right-hand grip strength was large (d = 0.99), whereas the left-hand grip strength demonstrated a moderate effect (d = 0.48). Detailed results are presented in Table 3.

DISCUSSION 

Limited research exists with respect to investigating sustained strength training (ST) programs and handgrip strength (HGS) in older adults (12, 23). Therefore, the primary purpose of this study was to determine the efficacy of a 12-week ST and HGS exercise program in a community-dwelling older adult population. The researchers hypothesized a statistically significant improvement in HGS between pre- and post-assessment data. At the conclusion of the 12-week ST and HGS exercise program, right-HGS improved significantly and demonstrated a large effect size, while the left hand showed a moderate but non-significant change. These findings suggest that a 12-week suspension training exercise program may enhance grip strength and potentially improve functional independence and reduce fall risk in older adults. However, additional research is needed to fully understand these effects and any differences between dominant and non-dominant hands.

 In 2018, a research study was conducted by Campa and colleagues in which the participants were divided into two groups: 1) 12-week ST exercise group and 2) control group that maintained their usual daily activity (3). Both groups of participants underwent pre-and post-tests, evaluating several fitness components, including HGS. Findings from the current research study and the study by Campa et al. (3) revealed both shared and contrasting results in how structured exercise interventions affect HGS in older adults. More precisely, both studies reported statistically significant HGS improvements following their 12-week interventions. The current research study observed an increase in right-hand grip strength from 21.5 ± 1.3 kg to 23.0 ± 1.4 kg, equating to an approximate 7.0% improvement. Similarly, Campa et al. (3) reported an increase in dominant-hand HGS from 38.2 ± 9.7 kg to 40.1 ± 9.0 kg, reflecting a significant 4.97% improvement. Both findings confirm the efficacy of a 12-week exercise program in promoting upper-body strength among older adults. Notably, both studies targeted older adults, with the current study involving a mixed-gender cohort (mean age 82.7 years) and Campa et al. (3) focusing on men with a mean age of 67.4 years. Despite this approximate 15-year age difference, the consistency in outcomes underscores the adaptability of exercise interventions across different subsets of older adults. Both research studies spanned 12 weeks, suggesting that this time frame is sufficient to elicit measurable improvements in muscular strength. Given these similarities, improvements in HGS in both studies align with broader health and functional benefits. Because HGS is a well-established predictor of overall physical health (29, 35), these findings highlight the role of resistance-based interventions in enhancing the quality of life and functional independence among older adults.

While both studies displayed shared findings, it was noted that the baseline mean HGS of the current study was strikingly lower (21.5 ± 1.3 kg) compared to Campa et al.’s (3) sample group (38.2 ± 9.7 kg). This discrepancy may be due to the age difference of about 15 years, which more than likely contributed to variations in baseline physical fitness and adaptive capacity. Older adults often experience diminished neuromuscular responsiveness and muscle plasticity (7, 32).

To summarize, the current research study and Campa et al.’s (3) study demonstrate significant improvements in HGS following 12-week exercise programs, reinforcing the utility of structured ST in mitigating age-related strength decline. Both studies provide compelling evidence that targeted interventions can yield functional strength gains in older populations regardless of modality. However, the differences in participant demographics highlight the influence of baseline fitness levels and age on HGS outcomes.

The results from a study by Gaedtke and Morat (16) also revealed results like those of the current study. Eleven older adults (Mean Age = 66.0 ± 4.0 yrs) participated in a 12-week TRX-OldAge training program, composed of seven exercises progressing through multiple stages of difficulty. The intervention method utilized TRX equipment, shared by Gaedtke and Morat (16) and the current study. Both studies also had similar sample sizes and durations, spanning 12 weeks. The results displayed within Gaedtke and Morat’s (16) research study share thematic similarities with the current research in demonstrating improvements in HGS. Both studies emphasize the potential of targeted programs to enhance functional strength, which is critical for maintaining independence and reducing the risk of falls in aging populations. Specifically, the current research reported a 7.0% increase in right-hand grip strength, showcasing the tangible benefits of a 12-week intervention. Similarly, participants in Gaedtke and Morat’s (16) study subjectively reported strength gains as the most notable improvement following the TRX-OldAge program. However, Gaedtke and Morat (16) did not provide quantifiable pre- and post-assessment metrics for HGS, which limits direct comparisons. While participant feedback highlights strength improvements, the lack of quantifiable data undermines the ability to assess the efficacy of the intervention, specifically on grip strength. This limitation in Gaedtke and Morat’s (16) study underscores the importance of incorporating quantifiable assessments in future investigations to validate self-reported outcomes and to draw more substantial comparisons with similar studies. Regardless, given the vast similarities between the two research studies, it is evident that a TRX-related exercise regime conducted for 12 weeks does enhance muscular strength in older individuals.

In a study conducted by Skelton et al. (41), a 12-week progressive ST intervention was implemented to assess its effects on the strength, power, and functionality of women aged 75 and older (41). The intervention included three exercise sessions per week, with two sessions conducted at home and one in a group setting. The additional day of exercise, as well as the inclusion of home exercise sessions, differs from the current study, which took place twice a week in a group fitness class setting. While the exercises did not mimic the functional tests entirely, each session was tailored to work the specific muscles relevant for functional tasks. Exercises were performed in three sets of four to eight repetitions, using rice bags and elastic bands for resistance. An assortment of pre- and post-assessments were conducted, including a HGS test, resembling the current study.

Despite these methodological differences, Skelton and colleagues (41) demonstrated increases in HGS, which aligns with the improvements observed in the current research study. In Skelton et al.’s (41) 12-week progressive resistance training program, participants experienced a significant 4% increase in HGS, from a pre-training mean of 21.6 ± 3.4 kg to a post-training mean of 22.3 ± 3.9 kg. This outcome parallels findings from the current research study, whereby a significant 7% improvement in HGS was observed. This supports the notion that 12 weeks of functional resistance training may improve HGS amongst a sample of older individuals.

A potential explanation for the greater improvement in HGS observed in the current study may be the focused, grip-specific training regimen utilized. Skelton et al.’s (41) training program, while progressive and resistance-based, did not include exercises that mimicked or directly engaged the musculature required for grip strength improvement. Instead, the program targeted broader functional movements, such as knee extensors, elbow flexors, and other large muscle groups. This specificity likely contributed to the larger improvement in grip-related performance observed in the current study.

Because the current study partially mimicked and addressed some of the limitations of Pierle and colleagues (37), detailed comparative results will be described. Pierle et al. (37) evaluated the efficacy of a 6-week ST intervention on multiple fitness components of older adults (37). This intervention consisted of 1-2 sets of 8 ST exercises performed twice a week. At the conclusion of this study, participants showed improvements in several fitness and functional areas. In contrast to the current study, Pierle et al. (37) did not observe improvements in HGS.

In the current study, participants demonstrated a statistically significant improvement in right-HGS following a 12-week intervention. Pre-assessment HGS for the right hand was 21.5 ± 1.3 kg, which increased to 23.0 ± 1.4 kg, reflecting a 7.0% improvement and a large effect size (d = 0.99). Conversely, left-hand HGS exhibited a smaller, non-significant increase from 20.2 ± 1.2 kg to 21.1 ± 1.5 kg (4.5% improvement, d = 0.48). Comparatively, Pierle et al. (37) observed no statistically significant changes in HGS, with pre-assessment values averaging 22.4 ± 1.9 kg and post-assessment values averaging 22.8 ± 1.8 kg. The effect size (d = 0.03) was minimal, indicating negligible gains in grip strength.

The differences in duration and intervention may explain this disparity in findings. For instance, the intervention in Pierle et al.’s (37) study lasted for 6 weeks, with two sessions per week, totaling 12 training sessions. This short duration may have limited the time available for participants to experience significant neuromuscular adaptations, such as improved motor unit recruitment and muscle hypertrophy, which are crucial for strength gains (6, 33). In contrast, the current study required participants to exercise for 12 weeks, providing twice the intervention time, therefore allowing for a more progressive overload and adaptation. The longer program likely facilitated more robust changes in muscle strength, particularly in the dominant hand. Previous research documents that strength improvements, particularly in older adults, rely on consistent and prolonged exposure to resistance-based stimuli to elicit meaningful neuromuscular adaptations (9, 20).

Another potential reason for the difference in findings is the modality and specificity of exercises. Pierle and colleagues’ study (37) focused on general ST, which emphasized functional movements, overall balance, core stability, and flexibility but did not prioritize grip-intensive exercises. In contrast, the current study employed targeted resistance and isometric exercises specifically designed to enhance HGS, ensuring a more direct focus on grip-related adaptations. Previous research has shown that exercise modality plays a critical role in the specificity of adaptations (15, 21). The lack of direct HGS training in Pierle et al.’s (37) protocol likely limited the magnitude of HGS improvements compared to the current research study.

The current study displayed a statistically significant improvement in right-HGS. While no statistically significant improvement was observed in left-HGS. While said findings were unanticipated, previous research investigations have displayed similar asymmetrical findings (22, 30, 43). In 2008, Thomas & Sahlberg recruited 41 college-aged males and females to complete an 8-week resistance training protocol with the aim of enhancing HGS. Data revealed by Thomas and Sahlberg (2008) align closely with the current investigation in demonstrating significant improvements in right-hand HGS, while no significant changes were observed in the left-hand HGS. In Thomas and Sahlberg’s (43) study, participants in the training group exhibited a statistically significant increase in right-hand HGS (32.9 ± 8.6 kg to 35.5 ± 7.6 kg) over an 8-week general resistance training intervention. However, the left-hand HGS showed no significant changes (30.7 ± 8.4 kg and 30.2 ± 6.0 kg). Similarly, the current research reported a statistically significant improvement in right-hand HGS (21.5 ± 1.3 kg to 23.0 ± 1.4 kg) but observed no significant change in left-hand HGS, which increased only marginally from 20.2 ± 1.2 kg to 21.1 ± 1.5 kg.

The consistency between these studies highlights the tendency for dominant-hand HGS to exhibit greater responsiveness to resistance training interventions. Both studies emphasize the role of hand dominance in determining training outcomes, with dominant hands showing significant strength gains due to frequent daily use and greater neuromuscular efficiency (5, 39). Conversely, the non-dominant hand may require more targeted stimuli to achieve comparable improvements, as evidenced by the lack of significant HGS gains in the left hand in both studies (13, 40). These findings emphasize the importance of tailoring training programs to address asymmetries and maximize bilateral strength development.

In 2019, Labott and colleagues conducted a comprehensive meta-analytical review to evaluate the effects of various exercise interventions on HGS in older adults. The review analyzed 24 research articles involving 3,018 participants with a mean age of 73.3 years (22), focusing on interventions ranging from resistance training to multimodal programs. While the findings revealed small but statistically significant improvements in HGS overall, the results emphasized a common trend across studies to the extent that greater responsiveness in right-hand HGS compared to the left-hand HGS. These authors concluded that task-specific and multimodal training interventions often yielded measurable gains in dominant hand strength, as this hand benefits from more frequent use and neuromuscular efficiency in daily activities. In contrast, left-hand HGS frequently displayed minimal or no significant change, reflecting the need for targeted stimuli to elicit comparable adaptations in the non-dominant hand. The review highlights this asymmetry as a recurring observation in HGS research, reinforcing the importance of tailored interventions to address disparities between dominant and non-dominant hand strength (5,22).

Although no statistically significant improvement was observed in left-hand HGS among participants in the current study, the practical implications of the findings should not be overlooked. A mean increase of 1.1 kg (4%) represents a meaningful real-world difference, particularly within aging populations. For older adults, even modest improvements in HGS can translate into enhanced functional capacity, better mobility, fall mitigation, greater independence in activities of daily living, and improved overall quality of life (11, 22, 28, 31, 38, 46). Moreover, from an applied perspective, a 4% increase in left-hand HGS may provide critical support in scenarios requiring quick reflexive actions, such as maintaining balance or catching oneself during a fall (28, 34). This seemingly minor improvement could make a significant difference in preventing injury and maintaining mobility, highlighting the value of targeted interventions to enhance HGS, even in cases where statistical significance is not achieved.

There were several limitations to this study that may have impacted the results. The small sample size (n = 12) and the low male participation in this study may have stifled the results from reaching their full expression. Future studies would benefit from a larger and more gender-balanced sample to enhance the generalizability of findings. Additionally, an increased sample size would allow for a control group to be utilized, bolstering the findings of future studies. Adherence to the 12-week intervention proved difficult as it slowly declined by 17% throughout the study, as many participants had busy schedules and prior commitments that interfered with consistent session attendance. Future studies may consider methods to improve adherence, such as scheduling flexibility or at-home modifications. Longer intervention durations may yield more robust findings, as 12 weeks might not have allowed the intervention to reach its full potential. Confounding variables, such as diet, sleep, and baseline activity levels, were not accounted for and may have influenced the results. Tracking these variables in future studies could provide additional insights into their potential impact.

As individuals age, their priorities often shift toward improving quality of life, extending longevity, and maintaining functional independence. Because HGS directly impacts these aspects of healthy aging, its maintenance, or better yet, improvement, should remain a priority in interventions targeting older adults. The intention of this study was to discover the efficacy of a 12-week ST exercise intervention on the HGS of older adults and underscore its importance for healthy aging. The current study revealed a statistically significant improvement in right-HGS, whereas no significant improvement was observed in left-HGS. Future research should evaluate asymmetrical HGS, as this was not an anticipated finding. Additionally, further research should investigate ST in older adult populations, addressing the limited existing evidence on its efficacy in this demographic.

CONCLUSION 

Findings from this study suggest that the 12-week ST and HGS exercise regime was statistically and practically effective in increasing overall HGS in older adults. These findings may serve as valuable guidance for fitness instructors, physical therapists, and other allied healthcare professionals working with older adults. Integrating ST exercises and HGS-specific exercises results in improved HGS, an essential component of maintaining functional independence as individuals age. Utilizing the TRX system for this intervention provided unique advantages, as the exercises were simple to perform and customizable to each participant.

PRACTICAL APPLICATIONS

Implementing an exercise program focusing on HGS has broader implications, as HGS correlates with improved quality of life, longevity, and reduced risk of falls. Allied healthcare professionals working with older adult populations should educate their patients on the importance of HGS and adopt intentional HGS-focused exercises into their regimens. In doing so, they can help mitigate age-related functional decline and promote better outcomes for aging individuals.

ACKNOWLEDGMENTS

The author would like to personally thank the health and wellness team at Carolina Bay at Autumn Hall: Shannon Hardy and Madison Norris.

The author would also like to thank the Center for the Support of Undergraduate Research and Fellowships for their generous contributions.

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2025-05-23T11:26:33-05:00June 13th, 2025|Research, Sport Education, Sport Training, Sports Coaching, Sports Exercise Science, Sports Health & Fitness, Sports Medicine|Comments Off on Efficacy of 12-Week Handgrip Strength Training Program Amongst Older Adults: A Pilot Study 

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/

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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

The Association Between Pitch Accuracy and Batter Outcomes in Major League Baseball

Authors: Benjamin E. Napoli,1 Daniel A. Napoli,1 Anthony M. Napoli MD MHL1, Timmy R Lin PhD1, Macall S. Robertson JD, Jason Machan PhD,1 Janette Baird PhD1

1Department of Emergency Medicine, Alpert Medical School of Brown University

Editor’s Note: This article’s formatting was corrected on July 8, 2025. All tables, figures, and appendices are now present in the article.

Abstract

Purpose: Pitch speed is considered synonymous with pitching success. In years past, the accuracy of a pitch was paramount but in recent years this has been deprioritized as compared with pitch speed. Over the years, batters have adapted to higher pitching speeds so pitch strategy and placement may be more important.  Our hypothesis was that pitching accuracy associated with intended pitch location would be a significant factor in pitching success in Major League Baseball (MLB).  

Methods: To study this, we studied multiple facets of a pitch, including pitch accuracy, to assess the association between pitch accuracy and batter outcome in over 1000 at bats in over 20 randomly selected games during the 2022 MLB season.  Our primary goal was to determine if there was an association between pitch accuracy, after controlling for confounders, and batting average against (BAA) and slugging percentage (SLG). 

Results: We found that at bats in which the last pitch hit the intended spot reduced batter success by greater than 50%.  Higher pitching speed was not associated with success partly because it was associated with lower accuracy. If a pitch was accurate, after adjusting for other variables, it was 3.28 times more likely to be successful. 

Conclusions: This study demonstrates that pitching accuracy is a highly important skill in determining the success of pitchers, beyond that of other traditional pitching features.  Future studies to automate this work and integrate machine learning and predictive modeling could be used to optimize pitcher success or identify the most accurate pitchers.

Applications in Sport: This study demonstrates that pitching accuracy is a critical determinant of success in Major League Baseball (MLB), with accurate pitches reducing batter success rates, including batting average and slugging percentage, by over 50%. While pitch speed has traditionally been prioritized, this research highlights that accuracy has a far greater impact on outcomes, as accurate pitches are more than three times as likely to succeed. These findings challenge the current emphasis on velocity, suggesting that focusing on accuracy could optimize performance and reduce injury risks for pitchers.

Introduction:

In recent years, hitting and pitching analytics have been used extensively to study talent and study what makes a successful pitcher or hitter. For pitchers, these features can include pitch movement, pitcher mechanics,(Manzi et al., 2022) pitch selection, pitch types, and spin rate.(Whiteside et al., 2016)  While pitch speed has continued to increase(Cooper, 2020) and batters have adjusted, these other features become increasingly important.  An ideal pitcher would have peak velocity and accuracy but having both is not easy to obtain.(Venkadesan & Mahadevan, 2017) 

Pitch accuracy in common baseball parlance is often referred to as whether the pitcher “hits his spot.”  Hitting or missing the spot refers to the intended pitch location indicated by the catcher.  Before each pitch, catchers set their glove for the intended pitch location.  While there are some observational studies of pitch accuracy over different levels of baseball,(Kawamura et al., 2017) in the modern era there is no published study to indicate just how much of an effect accurate pitching has on batter performance.

Our hypothesis was that a significant difference in hitter outcomes will exist between pitchers who “hit his spot” (are within 6 inches of the intended pitch location) and those who do not.  A secondary outcome of our study was to examine whether pitch accuracy had a greater association with batter outcome than pitch selection, location, or speed.

Methods:

This was a retrospective study of 17 randomly selected games during the 2022 Major League Baseball (MLB) Season.  Investigators used a pre-specified Google Form (Mountain View, CA) with all key pitcher, pitch, and batter outcomes identified.  The investigators documented the outcome of the last pitch of each at bat.  This is consistent with current MLB methods of determining measures like batting average against (BAA) as it is the only pitch in the at bat in which the batter is forced to make a decision that will result in an at bat outcome. BAA and Slugging Percentage (SLG) were calculated using standardly accepted methodology (BAA = H/AB; SLG = (1B + 2Bx2 + 3Bx3 + HRx4)/AB).

An a priori sample size estimate based upon an estimated effect size of a 20-point decrease in BAA indicated a need to study approximately 1700 at bats.  An interim analysis of effect was planned at 500 and 1000 at bats. One game from each MLB team’s 2022 season was randomly selected until the study was complete.  Data abstractors were blind to the study results.  Data collection included pitcher handedness, pitch speed, intended pitch location, pitch type, and outcome.  As is customary for measuring BAA, only the last pitch of an at bat was used in this study.  

Our primary outcome was to demonstrate that a significant difference will exist between accurate pitches, “hit his spot” (estimated to be within 6 inches of the intended pitch location) and inaccurate pitches (“missed his spot”).  The secondary outcomes were to study if pitch speed, pitch selection, or pitch location had an impact on pitcher success.  Statistical analysis was done using SAS 9.4 (Cary, N.C.). We report on median with interquartile range (IQR) and proportions with 95% confidence intervals (95% CI).  Direct comparisons of unadjusted data were completed using a Chi-square test for proportions while a logistic regression was used to adjust for all variables associated with pitching accuracy.  A definitions table can be found in the Appendix due to the number of abbreviated outcomes.   

Results:

Primary Outcome:

The results of the interim analysis at 1000 at bats demonstrated a significant effect of pitch accuracy on BAA and SLG.   Of these 1000 at bats, represented by 17 randomly selected MLB games, the pitching accuracy was 45.3% (95% CI: 42.2% – 48.4%) and median pitch speed was 91 (IQR: 85 – 94) miles per hour.  The top three pitch types thrown were the fastball (31.8%), sinker (21.4%), and slider (19.5%) [Table 1].  Nearly 66% of pitches targeted low in the zone [Table 2]. Overall outcome (BAA and SLG) as it relates to pitch accuracy can be found in Table 3. 

Unadjusted analysis for the primary outcome of BAA and SLG demonstrated pitch accuracy was a significant predictor of pitcher success.  At bats ending in a pitch that hit the intended spot reduced batter success by greater than 50%; accurate pitches resulted in a BAA and SLG of 0.166 and 0.343 vs. 0.262 and 0.558 for inaccurate pitches, p<0.01.   If a pitcher hits his spot, after adjusting for other variables, he was 3.28 times more likely to be successful. No other variable was significantly associated with the pitcher success in the adjusted model (Table 4).

Table 3: Pitch Accuracy and Batter Outcome

*See Appendix for index of abbreviations

Secondary Outcome

There was no relationship between pitch speed and accuracy though pitchers who threw in the 80’s miles per hour (mph) appeared more likely to be accurate than those in the 90’s mph [Figure 1]. There was no statistically significant difference in pitch accuracy and BAA or SLG between left-handed pitchers and right BAA and SLG as they relate to pitch type and pitch location can be found in Tables 5 and 6, respectively.

Unadjusted analysis demonstrated that sliders had the lowest BAA (0.190), while changeups had the highest (0.293) [Table 5]. Higher pitching speed was not significantly associated with preventing a hit (χ2 (5) = 9.9, p=.08) but was significantly associated with lower accuracy (χ2 (5) = 13.2, p=.02).  No other pitcher variable other than accuracy of intended location was significantly associated with pitcher success. 

Assuming an accurate pitch, then high-in (2.02) and high-middle (2.96) pitches were significantly more likely to be successful at hitting the spot than baseline comparison (middle-middle). All off-speed pitches except for curveballs were significantly more likely to be successful than their baseline comparator (the fastball) with odds ratios ranging from 1.6 (sinker) to 2.8 (slider) [Table 8].

Discussion:  

Success in pitching is a combination of many different features, including game situation, the batter, the pitcher, and the pitch.  However, pitch accuracy has always been considered one of the most important features of a pitcher until recently when much of the attention has turned to pitch speed.  This study sought to investigate the impact of pitching accuracy, specifically the ability to hit the location of an intended pitch, on the success of pitchers in MLB games.  While many features of a pitch can affect the outcome, few of them (if not none in our study) have the impact that accuracy has on batter outcome.  In fact, our study indicates an unadjusted reduction of nearly 50% in batting average and slugging percentage when pitchers hit their intended location with an adjusted odds ratio of 3.28.          

Sports analytics is a $2.7B industry that is expected to have a compound annual growth rate of more than 20% over the next ten years.(Research, 2022)  The sport of baseball has been one of the earliest adopters and the clearest example of successful use of baseball analytics. Though baseball is considered a team sport, it is in fact a series of sequential events and therefore lends itself to more precise statistical analyzation.(Bechtold, 2023)  This has led to the rise of slow-motion video, new metrics for pitch movement and success, and the development of whole analytics departments in all MLB teams.  This information has given rise to pitch location analysis, enhanced studying of the influence of framing of pitches by catchers, profiles of pitch spin and movement, comparative pitching analytics, and even the possibility of machine learning and predictive analytics for pitching. 

The success of a pitcher is affected by so many features of the pitcher and the batter.  In the pitcher alone, features like pitch speed, spin rate, and selection are important.(Manzi et al., 2022)  Even pitcher mechanics has an effect on pitch accuracy.(Venkadesan & Mahadevan, 2017)  Pitching mechanics gets refined over time and studies indicate pitchers have greater accuracy at higher performance levels.(Kawamura et al., 2017)  However, it is hard to quantify the importance of each of these features.   The common belief is that pitch speed dominates all other features of pitcher success.  However, one study that incorporated pitch speed was only able to show that the combination of pitch speed, refined special pitch release location, and variation in pitch selection accounted for only 22% of the variance in pitcher performance.(Whiteside et al., 2016)  Our study demonstrated a significant portion of variance in accuracy is explained by pitch speed (21.5%); the higher the pitch speed the less accurate the pitch.  Overall, the adjusted model demonstrated pitch speed did not affect pitch success as opposed to an accurate pitch being greater than three times more likely to be successful. 

This study relied upon retrospective review of a random sample of regular season games to determine the effect of pitch accuracy while simultaneously accounting for some of the most important, traditional features of pitching success – pitch speed, location, and selection.  Unadjusted analysis reinforced some of the common opinions about current pitching – sliders and splitters if placed correctly are some of the most difficult pitches to hit (Table 5) and pitches thrown over the middle of the plate are more likely to lead to batter success (Table 6).  However, it also demonstrated some unexpected outcomes – that fastballs were some of the least accurate pitches and that pitch speed had limited, if any, effect on batter outcome.  However, after adjustment some interesting associations were revealed.  Pitching high in the zone had an odds ratio of success consistently two times greater than the middle of the zone, and that pitching low in the zone was not associated with improved pitcher outcome.  While interesting, this is not entirely surprising as it follows the trend of pitchers throwing higher much more commonly than they once did as batters have adopted an upward sloping swing to maximize launch angle.(Gutwein, 2021; Lu Chen, 2022)   Additionally, almost all pitches were more successful than a fastball at getting a batter out; this too reflects the trend toward increasing use of off-speed pitches in the MLB.(Norris, 2023)  After adjustment, all these other features of commonly accepted pitching importance – speed, pitch selection, and pitch location had limited effect on the outcome of the pitch in comparison with pitch accuracy.  An accurate pitch was more than three times (OR 3.28, 95% CI 2.45-4.4) more likely to result in a favorable outcome and resulted in 50% reduction in batting average and slugging percentage. 

Any study that attempts to study one feature (pitch accuracy) amongst a number of complex other potential confounding factors is bound to have some limitations.  Complexity itself is a limitation. Though many of the variables (pitcher, game, time in the season, etc.) were randomized, the complexity offered by any one pitcher limits interpretation.  For example, certain pitchers may not offer certain pitches or the quality of their pitches varies as compared to another when pitching in one location.  Any study incorporating such features would be much more complex and would also limit real world real-time application.  The retrospective nature of this study would normally be a limitation, but it allowed specificity of pitch location due to the ability to review the video and record features of each pitch.  However, certain features of each pitch were not available to the investigators – like spin rate, lateral and vertical movement.  These features may have a role in determining pitcher accuracy as well as batter outcome independent of pitcher accuracy.  Lastly, any study involving individual review with a general goal of subjectively identifying whether a pitch was accurate runs the risk of consistent over-estimation or under-estimation and/or variation.  Only computerized video review algorithms would be able to reduce imprecision further.  Computer algorithms and machine learning may eventually be able to be incorporated to refine this work. 

Conclusion:

In conclusion, this study suggests that pitching accuracy, particularly hitting the intended location of a pitch, is a crucial factor in determining pitcher success in MLB.  The findings provide valuable insights into the relative importance of various pitching variables, emphasizing the significance of strategic accuracy over sheer pitching speed.  This study contributes to the ongoing discourse about the multifaceted nature of successful pitching in professional baseball and emphasizes the importance of one of the most important features of a successful pitcher – accuracy. 

Applications in Sport:

This study highlights the critical importance of pitching accuracy in Major League Baseball (MLB), demonstrating that accurate pitches significantly reduce batter success rates, with a 50% decrease in batting average and slugging percentage when pitchers “hit their spot.” While pitch speed has traditionally been emphasized, this research shows that higher speeds often reduce accuracy and have limited impact on outcomes compared to precise pitch placement. The findings suggest that prioritizing accuracy over speed could improve pitcher performance and reduce injury risks associated with the current focus on velocity. These insights could inform training strategies, analytics, and even machine learning applications to optimize pitching success, offering a shift in how pitching effectiveness is evaluated and developed in modern baseball.

References: 

Bechtold, T. (2023). State of Analytics:  How The Movement Has Forever Changed Baseball – For Better or Worse. Retrieved November 25 from https://www.statsperform.com/resource/state-of-analytics-how-the-movement-has-forever-changed-baseball-for-better-or-worse/

Cooper, J. J. (2020). The Measure Of A Fastball Has Changed Over The Years. Retrieved November 19, 2023 from https://www.baseballamerica.com/stories/the-measure-of-a-fastball-has-changed-over-the-years/

Gutwein, C. (2021). Fastballs Keep Pouring Into the Top of the Zone. Retrieved November 25 from https://blogs.fangraphs.com/fastballs-keep-pouring-into-the-top-of-the-zone/

Kawamura, K., Shinya, M., Kobayashi, H., Obata, H., Kuwata, M., & Nakazawa, K. (2017). Baseball pitching accuracy: an examination of various parameters when evaluating pitch locations. Sports Biomech, 16(3), 399-410. https://doi.org/10.1080/14763141.2017.1332236

Lu Chen, S. (2022). The Launch Angle Revolution. Retrieved November 25 from https://www.bruinsportsanalytics.com/post/launch-angle

Manzi, J. E., Dowling, B., Wang, Z., Luzzi, A., Thacher, R., Rauck, R. C., & Dines, J. S. (2022). Pitching Mechanics and the Relationship to Accuracy in Professional Baseball Pitchers. Am J Sports Med, 50(3), 814-822. https://doi.org/10.1177/03635465211067824

Norris, J. (2023). The Surge Of The Slider In The Pitch-Tracking Era. Retrieved November 25 from https://www.baseballamerica.com/stories/the-surge-of-the-slider-in-the-pitch-tracking-era/

Research, G. V. (2022). Sports Analytics Market Size, Share & Trends Analysis Report By Component (Software, Service), By Analysis Type (On-field, Off-field), By Sports (Football, Cricket, Basketball, Baseball, Rugby), By End-user, By Region, And Segment Forecasts, 2023 – 2030. https://www.grandviewresearch.com/industry-analysis/sports-analytics-market

Venkadesan, M., & Mahadevan, L. (2017). Optimal strategies for throwing accurately. R Soc Open Sci, 4(4), 170136. https://doi.org/10.1098/rsos.170136

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2025-07-08T10:57:33-05:00April 19th, 2025|General, Research, Sports Coaching, Sports Health & Fitness|Comments Off on The Association Between Pitch Accuracy and Batter Outcomes in Major League Baseball

Effective use of Imagery Assisted Virtual Reality in Pitch Recognition and Sport Imagery Ability Development

Authors: Lindsay Ross-Stewart1, Landon Braun2, & Victoria Hardcastle3

1Department of Applied Health, Southern Illinois University Edwardsville
2College of Health Professions and Sciences, University of Wisconsin Milwaukee
3Department of Intercollegiate Athletics, Savannah State University

Corresponding Author:
Dr. Lindsay Ross-Stewart
Campus Box 1126
Southern Illinois University Edwardsville
Edwardsville, IL, 62026
[email protected]
(618) 650-2410

Lindsay Ross-Stewart, PhD is an Associate Professor in the Department of Applied Health at Southern Illinois University Edwardsville. Dr. Ross-Stewart is a CMPC® and a Canadian Sport Psychology Association Mental Performance Consultant (MPC).

Landon Braun, M.S., is a Doctoral Student at the University of Wisconsin-Milwaukee in the College of Health Professions & Sciences. At UWM Landon works as a Teaching Assistant in the School of Rehabilitation Sciences & Technology where he teaches courses related sport and performance psychology to both undergraduate and graduate students.

Victoria Hardcastle, M.S., is an Assistant Softball Coach at Savannah State University.

Effective use of Imagery Assisted Virtual Reality in Pitch Recognition and Sport Imagery Ability Development

ABSTRACT

Abstract: Imagery can be described as experience that mimics real world experiences through the combination of using different sensory modalities in the absence of actual perceptions (43). One uses visual, auditory, kinesthetic (touch), smell, and taste to create a picture simulating real world environments and scenarios. Imagery can be used to enhance various aspects of performance by mentally preparing someone for an upcoming competition or helping an athlete focus specifically on a task (19). Virtual reality, understood in this study as a first-person filmed, computer presented, immersive simulation of a real environment (32), has become increasingly more utilized in sport performance settings (7, 37, 44). Combing these two elements, the purpose of this study was to investigate an applied Imagery Assisted Virtual Reality (IAVR) intervention on imagery ability and pitch recognition in a sample of eleven National Collegiate Athletic Association (NCAA) Division One softball players at a Midwestern University. This study’s results indicated a significant increase in global imagery ability as well as in four of the five functions of imagery (CS, CG, MG-A, MG-A) and in pitch type recognition. Practically, the results from this study suggest that the IAVR intervention can create an impactful experience to assist athletes in improving their performance and psychological skills.

Keywords: Psychological Skills, Pitching Ability, Softball, Virtual Reality, Collegiate Sport

Virtual reality technology has become an increasingly common tool used in sport (e.g., 3 – 4, 7, 14, 17, 24, 26; 28, 31, 37, 44) with application in areas such as injury rehabilitation (31), and performance enhancement (2, 27, Wood et al., 2020). In fact, virtual reality has been labeled the next step forward for athletic training (47) and has been the subject of several states of the field (e.g., 7, 26).


Virtual reality was originally defined as a computer-generated, artificial, or simulated environment created by technological software (38). Within sport, it has been defined as instances when individuals are engaged in a sport that is represented in a computer-simulated environment which aims to induce a sense of being mentally or physically present and enables interactivity with the environment (28). One important aspect that virtual reality training is lacking is a focus on how virtual reality can assist in increasing an athlete’s psychological skill development (32). While virtual reality can impressively replicate environments and simulate real-world reactions; it still lacks the ability to capture an emotional response to the environment (32). As we know that how one feels and their perceptions of the sporting environment are necessary for performance, past research has shown this to be a challenge in traditional VR interventions (11) Research on the incorporation of imagery into a virtual reality training program has shown it to be a promising way to gain the advantages of VR and to overcome this potential challenge (32, 33; 34).


In the context of sport, White and Hardy (45) defined mental imagery as: an experience that mimics real experience. We can be aware of “seeing” an image, feeling movements as an image, or experiencing an image of smell, tastes, or sounds without actually experiencing the real thing (23). One approach to the application of imagery in sport is the revised applied model of imagery, which states that athletes may use it to achieve different outcomes (10). To achieve desired outcomes, imagery type, what athlete’s images and imagery function, the why or the purpose of an athlete’s image should be considered (29). Imagery type is split into two categories, cognitive and motivational, with each operating at specific and general levels (43). Cognitive refers to performance enhancement while motivational focuses on confidence enhancement (5). Imagery types and functions have been defined as: Cognitive specific (CS) helps an athlete to work on skill learning, development, and execution. Cognitive general (CG) affords the athlete the ability to image different strategies and routines. Motivational specific (MS) imagery focuses on enhancing motivation through goal setting and goal achievement. Motivational general arousal (MGA) imagery focuses on somatic and emotional experiences such as regulating stress and arousal. Motivational general mastery (MGM) imagery concentrates on coping, gaining, and maintaining self-confidence, and staying focused (10, 18) identify. Athletes might use each of the imagery types alone or in combination with one another, depending on the meaning an athlete applies to the image (29). For example, an athlete can use cognitive specific imagery (CS type) to image themselves executing a skill successfully (CS function), but this image may also increase their confidence, which would be for the function type MG-M (10).


Focusing on the way in which Imagery and Virtual Reality could be used together, Ross-Stewart and colleagues developed Imagery Assisted Virtual Reality (IAVR), a training protocol that involves an immersive virtual reality experience for users in which kinesthetic awareness is incorporated with users being able to see a first-person simulated scenario coupled with an individualized imagery script aimed at enhancing psychological skills and performance (32). IAVR entailed a first-person filmed batting environment from an on-deck position all the way up to batting and taking swings. This video was then followed by a blank screen with an individualized guided imagery script tailored to each individual player that was either audio recorded in the video itself or written down. In their initial study they found that participants who completed an IAVR intervention increased their skills imagery (CS), goal imagery (MS) and mastery imagery (MG-M) as measured by the Sport Imagery Ability Questionnaire (SIAQ; 43). Furthermore, results suggested an increase in overall imagery use, positive self-talk and automaticity in both practice and competition through the length of the study. Additionally, negative thinking during competition decreased, as measured by the Test of Performance Strategies (TOPS; 39). The finding that imagery and virtual reality used together can impact psychological constructs was supported by Frank et al (2022) who found self-efficacy to increase in a physical activity task using imagery and virtual reality. Furthering the support for IAVR, a recent study on the impact of VR on imagery ability and emotional affect found that VR can “induce emotional arousal and affect the mental imagery skills and positive affect of athletes” (46).


Baseball hall of famer Ted Williams referred to batting as “the hardest thing to do in sports” (35). If a softball pitcher throws a 60-mph fastball, it will reach Homeplate in .45 seconds. However, if she throws a changeup at 50 mph, it will reach Homeplate in .55 seconds. Batters have a brief window of opportunity in which they must recognize the pitch and decide to swing or not swing (20). Pitch recognition is the batter’s ability to recognize which way the seams on the ball are spinning/rotating and the trajectory of the ball (20). These two components can be categorized by pitch type (fastball, change-up, drop ball, rise ball) and prediction of eventual location of the pitch (strike, ball, inside, outside) (13). Being able to recognize pitches is an essential aspect of batting. However, there exists little agreement on what the skill of pitch recognition consists of and how to improve it (13).
Each pitch is comprised of different combinations of velocity, rotation, and trajectory cues. Outside of rotation and trajectory cues, there are other sources of information a batter might be receiving information from without being aware of it. These cues include knowledge of the pitcher, game situation, and batter’s count (20). A batter’s ability to recognize which pitch is being thrown will allow them to conduct their swing accordingly and increase performance. This recognition will allow a batter to make more solid hits and recognize the difference between a ball and strike. This recognition will also allow them to either look for pitches they want to hit or draw more walks. Therefore, pitch recognition is a pivotal skill for softball players to obtain if they want to achieve top performance.


The use of VR has been shown to be an effective tool for the increase of strike zone and pitch recognition (16). Virtual reality training has also been shown to lead to a greater sensitivity to visual information provided by the ball trajectory, seam rotation, and improved ability to use monocular cues to determine whether a pitch would cross the plate in the strike zone or not (16). Furthermore, Ranganathan and Carlton (30) found that VR was effective when baseball players had visual information of an entire pitch in their VR environment and ball trajectory yielded a higher prediction accuracy.


Based on both past research in VR and IAVR, merging imagery and virtual reality may enhance the psychological skill and strategy development of athletes more than if they are used alone. Taken with recent suggestions for more research on the effectiveness of VR on both skill acquisition and psychological change in sport (e.g., 7 17, 26, 28 31, 41), specifically, Cotterill’s assertion that “there is also a need for more applied case studies that outline the procedures adopted and reflect on the outcomes obtained using VR in sport psychology–relevant ways”(7, p.22). The purpose of this paper is to highlight an applied Imagery Assisted Virtual Reality intervention that was used with a National Collegiate Athletic Association (NCAA) Division I softball team. Specifically, hitters were given the opportunity to participate in an intervention that designed individualized imagery assisted virtual reality video for them and then they were assessed to see how it impacted their imagery ability, and pitch recognition. Based on past research, it was hypothesized that both global imagery ability and pitch recognition would increase from baseline to post intervention. Furthermore, based on past research on IAVR (32) it was hypothesized that CS, CG, and MG-M imagery would significantly increase from baseline to post intervention. No hypothesis was made related to MS and MG-A imagery due to lack of past research, at the time of data collection, supporting the use of this imagery increasing using IAVR.

Materials and Methods

Methods

Participants
Participants were 11 NCAA Division One female softball players at a Midwestern University. Of the 11 participants five were right-handed batters and six were left-handed batters. Their ages ranged from 18-24 years old.


Measures
Sport Imagery Ability Questionnaire (43; SIAQ): The SIAQ was designed to measure an athlete’s ability to image different content (i.e., strategies, skills, feelings, and goals) and the frequency that an athlete images. The questionnaire has 15 questions rated from 1 (very hard to image) to 7 (very easy to image). The questions are divided into five different subscales; skill imagery ability (e.g., defining a specific skill), strategy imagery ability (e.g., making/executing strategies), goal imagery ability (e.g., winning the game), affect imagery ability (e.g., positive emotions connected with the sport), and mastery imagery ability (e.g., positive outlook when things are not going well). An overall sport imagery ability score and all subscales were calculated separately. To score each of the five subscales, questions for the subscale were summed and divided by the number of questions for each source. The SIAQ has been found to have good validity and reliability (43)


Pitch recognition test: A Pitch Recognition test was designed for this study to assess a participant’s ability to recognize a pitch type (fastball. change-up, etc.) and pitch location (strike/ball). Participants viewed twelve pitches via GoPro film from a pitcher. The film the participants viewed was from the same film they viewed in their IAVR. There were five seconds between each pitch allowing for the participants to circle both the pitch type and pitch location of the previously viewed pitch. The pitch recognition test had twelve different pitches for the baseline testing and the post intervention testing. The number of pitches they correctly identified for both type and location divided by twelve was their total pitch recognition scores. Both pitch type and pitch location were scored as subscale.

Procedure
Institution IRB was obtained. Players were recruited from an NCAA (National Collegiate Athletic Association) Division I softball team. Eleven players signed up to participate in the intervention. Participants who gave consent were assigned a time to film their first-person VR film. Filming was done both on the players’ field and in their indoor hitting facility to make sure it properly mimicked where they were currently practicing. During filming, participants wore dual mounted GoPro headsets on top of their batting helmets to gain first person filming perspectives. Participants were instructed to go through their whole routine starting with preparation for the on-deck circle by stepping into the batter’s box. Filming was also done to gain a third person perspective using a dual mounted GoPro headset strapped to a tripod and placed in the batter’s box. For this film day, three pitchers from the same team, who volunteered to help with the study were filmed pitching from the mound (one left-handed, two right-handed). All three of the pitchers threw their pitches (fastball, change-up, rise ball, etc.) for both right-handed batter and left-handed batter viewpoints. Ninety-six pitches were filmed to allow for a variety of options for the pitching videos.
After the filming was complete the research team used Shotcut to edit the film into two pitch recognition videos, and an individualized VR video for each participant. Videos of the pitches were made to assess pitch recognition at baseline and time 2. To make these videos, the third-person video was edited by clipping each pitcher’s pitch into its own. This allowed the researchers to integrate all three pitchers’ pitches into a specific order. Researchers then went through and selected twelve pitches out of the right-handed batter’s film and a separate twelve out of the left-handed batter’s film. These clips were arranged to simulate two full at bats, with a five second black screen between each pitch. This method was replicated to make the pitch recognition video that would be used for the post test.


To make the IAVR videos, first-person perspective film was edited to start when participants start their pre-at bat routine. The clip ended when the batter received a pitch from the pitcher while they were in the batter’s box. In these videos pitch clips were aligned to simulate a real world at bat, including timing between bats. To develop the guided imagery scripts that would be recorded as audio into the Virtual Reality videos, participants individually met with the research team to discuss their experiences at bat. The imagery scripts were written according to the guidelines suggested by (42) making sure to incorporate both stimulus and response propositions (8, 22) to the imagery scripts. The imagery scripts were broken down and recorded into two audio files. The first recording consisted of each participant’s rituals and routines starting when they are “in the hole” all the way to being in the batter’s box. This included getting equipment on (batting gloves, elbow guard, etc.), walking to the on-deck circle, on deck circle rituals, walking to the batter’s box, and pre at bat rituals. Some participants opted to have their walk-up song playing in the background during their imagery script when walking from the on-deck circle to the batter’s box.


The second recording started when each participant was in the batter’s box. Depending on how the participant wanted their imagery script written, they might receive a ball or strike first. Then, hitting to a designated spot of their choosing. Participants then had a choice of running through first, running to second, or sliding into second. The scenarios and cues they picked up from the first base coach were all individualized to each participant. These individual imagery scripts were turned into audio files and then embedded into the participants corresponding virtual reality film to make the Imagery Assisted Virtual Reality interventions for each participant. The IAVR was set up as the following: imagery script of preparation for an at bat, 3rd person pitch film, first person film from the dugout to the batter’s box, and then imagery script of hitting the ball and making it to a base safe.
Before being given their IAVR film, participants watched the baseline pitch recognition video and marked the pitch type and location of each video. Each player was provided with a pair of virtual reality goggles and a locked cell phone loaded with their individualized video. Instructions were also provided to participants on how to download the videos onto their personal phone if they preferred to have it on their own phone. Participants were instructed to watch their IAVR video at least once a day using virtual reality goggles. Participants were also informed that if they requested any changes to their IAVR (i.e., imagery speed, tone, pitch order) the research team would make the changes at any time during the intervention.
After participants had the IAVR video for six weeks they completed a post intervention pitch recognition test where they watched the second pitching video that had been made and once again recorded what type and location, they believed they saw for each pitch. They also completed the SIAQ at this time.


Results
Review of the data indicated that two participants had missed one question each. The means for each question were used as a replacement so the participants data could still be used in the analysis, as deemed appropriate in inferential statistics (21). Next descriptive statistics for baseline and post intervention were calculated for each of the five imagery ability subscales and global imagery ability score, as well as total pitch recognition, pitch type and pitch location. Paired samples t-tests were run to assess mean changes from baseline to post intervention for all imagery ability subscales and total imagery score as well as for the three pitch assessments. As the data were expected to increase from baseline to post intervention across all variables a one tailed test was employed with an alpha level of 0.05. Cohens d were calculated for all pairs with 0.21 – 0.59 considered a small effect .60 – .79 a medium effect and 0.80 to 100 a large effect (6).


Imagery
Participants’ global imagery ability was higher at post-testing (m = 5.69, sd = 0.79) as opposed to baseline (m = 5.02, sd = 0.69), which was found to be a statistically significant difference, t(10) = -2.70, p = .01, d = 0.91). Skill imagery ability change from baseline to post intervention was also significant (t(10) = -2.51, p = 0.02, d = 0.73), indicating that the participants increased their skill imagery ability from baseline (m = 4.79, sd = 1.12) to post intervention (m = 5.63, sd = 1.20). Strategy imagery ability was found to have a statistically significant change (t(10) = -2.05, p = .03, d = 0.63). Means indicated an increase from 4.73 (sd =0.94) at baseline to 5.30 (sd =0.88) at post intervention. The affect imagery ability increase was statistically significant (t(10) = -2.07 p = 0.03, d = 0.81). Means indicated a change from 5.55 (sd = 0.83) at baseline to 6.22 at post intervention (sd = 0.79). Mastery imagery ability from baseline (m = 4.88, sd = 0.86) to post test (m = 5.60, sd = 0.79) was also statistically significant (t(10) = -2.05, p = 0.02, d = 0.88). Goal imagery did not have a statistically significant change from baseline (m = 5.15, sd = 1.02) to post intervention (m = 5.70, sd = 1.03, (p = 0.07, d = 0.53).


Pitch Statistics
Pitch type recognition was found to be statistically significant from baseline (m = 6.60, sd = 3.13) to post intervention (m = 9.10, sd = 2.08), t(10) = -2.28, p = .04) with a large effect size (d = 0.94). Pitch location recognition and total pitch recognition both increased, however neither were statistically significant changes (p >0.05). Percentage change was also recorded for pitch type as that is the common way to assess these statistics in applied softball scenarios. See Table 1 for full statistics for Pitch.

Table 1. Average Number and percentage of pitches accurately identified at baseline and Post Intervention

# Correct Baseline# Correct  Post Intervention# Correct Pitch Type Baseline# Correct Pitch Type Post Intervention# Correct Pitch Location Baseline# Correct Pitch Location Post Intervention
#%#%#%#%#%#%
4.134.175.949.176.6559.175.83758.337.260

Discussion
This study investigated the effect of an applied Imagery Assisted Virtual Reality intervention on NCAA Division I softball players’ imagery ability and pitch recognition. This study hypothesized an increase in global imagery ability, pitch recognition as well as increases in skill (CS), strategy (CG), and Confidence (MG-M) imagery. Overall, the hypotheses were supported by the findings of this study.


This study’s results indicated a significant increase in the participants’ global imagery ability with this change indicating a large effect size. Furthermore, of the five imagery subscales all showed increases from baseline to post intervention, with Skill, Strategy, Mastery and Affect imagery ability increasing from baseline to post intervention. The increase in global imagery ability and subscale increases equates to the athlete’s ability to image being easier in real sport situations (49). This is of applied significance as this increase in global imagery could assist athletes in mental preparation before engaging in sport specific performance endeavors. It is also of importance as we have few studies demonstrating how to increase imagery ability even though we know the ability to image is important for athletes who want to use imagery to increase their sport performance. As imagery has been shown over and over again to increase sport performance (e.g., 9), knowing how to increase imagery ability is an important step in pursuit of maximizing the benefits of this psychological strategy.
This study demonstrates how virtual reality can assist a person’s imagery ability when showing real world video in correlation to their imagery script. We can postulate that global imagery ability increased in part due to the IAVR increasing the functional equivalency of the intervention (32). These results align with research on functional equivalence (22 and the PETTLEP model of imagery which states that all senses need to be engaged to be fully immersed in an imagery script (e.g., 1, 19; 36, 40).


The results indicated significant increases in confidence (MG-M) and affect (MG-A) imagery ability which equates to an athlete’s ability to image and be in control and cope during difficult sporting situations, and image positive content withing their sport (43). It may be that these motivational imagery subscales had a significant increase due to cue words (e.g., calm, focus, confidently) that were inserted into each participants imagery script to stimulate an emotional response. These cue words, chosen by each participant, were combined with repeated phrases such as “take a deep breath,” “feel yourself,” and “you are confident” were also used to stimulate an emotional response from participants. Some participants also opted to have their walk-up song play during their imagery assisted virtual reality. This auditory connection between virtual reality film and real-world stimulus may have allowed participants to emotionally connect to the IAVR and use it to regulate arousal. It should be noted that although it was not hypothesized that affect imagery (MG-A) would increase due to lack of research at the time of study, this finding is supported by recent research that has come out since data was collected for this study (46). The increase in MG-A imagery ability indicates that athletes experienced some type of realistic emotion within the imagery experience. This finding coincides with previous research (25, 27) that posits increases in affect imagery within virtual reality films may be attributed to social presence within these virtual reality films. Lee and colleagues (25) believed that responses to social presence within virtual environments may be due to the players’ expectations of interactions during an actual game. Within this study, social presence was maintained throughout virtual reality film by incorporating the presence of teammates in the videos. Finally, there were significant increases in skill (CS), and strategy (CG) imagery ability, which supported the hypothesis and is in line with past research (32). This makes sense as the IAVR gave the players extra opportunities to see themselves engaging in the skill of hitting and through imagery incorporated their individual strategies for how they were going to hit the ball.


Pitch Statistics
The hypothesis that pitch recognition would increase was partially supported. Pitch type recognition was found to be significantly increased from pre to post intervention. However, although pitch location recognition and total pitch recognition both increased, neither change was statistically significant. Percentage change was also recorded for pitch type as that is the common way to assess these statistics in applied softball scenarios and gave real world application information when it came to pitch recognition change. Of particular importance in this study was the finding that pitch type recognition increased by over 20% (from recognizing 6.6/12 – 9.1/12) from baseline to post intervention. Although not statistically significant the change in total pitch recognition increased by two pitches (4.1/12 to 5.9/12, 15%) which in an applied setting is a noteworthy performance increase. As the IAVR in this study was not filmed with 360-degree cameras it may be that this affected the batter’s sense of where the pitch was over the base, leading to a lack of pitch location increase. However, the IAVR focus on first person perspective of the pitch coming at them just as it would in a real game essentially gave them more reps “reading” the pitch where they did not have to think about anything else (what they were going to do), which may be part of why their pitch type recognition increased. These findings are important for those within the softball world as we know that recognizing a pitch can predict accuracy of an at bat (e.g., 30, 16). Although it is noted that pitch recognition is an essential aspect to batting, there is little agreement on how to improve it (13). This study’s results demonstrate the effectiveness of IAVR on increasing pitch type recognition and could therefore be a low-cost tool used by teams to increase the skill of pitch recognition, and therefore batting percentages.


While this study is an important addition to the new area of Imagery Assisted Virtual Reality, there are limitations to consider. The first limitation of this study was the sample size. Although the small sample size is acknowledged as a limitation it should be noted that even with this small sample size, the effect sizes in this study were medium to high indicating that with a larger sample these findings may be even more pronounced. As this was an applied study using players who were in season, it was considered unethical to make some of them a control group. Specifically, having some players given an advantage over others, an advantage that is not shown to disappear over time, would be unfair to those in the control group, impacting both individual athletes and the team as a whole. Therefore, not having a control group, although a deliberate decision, does lead to the lack of knowledge as to whether another unexpected variable may have impacted these results.


As IAVR is a new strategy for increasing imagery ability and sport performance, there are several areas future researchers should consider. Current research on IAVR has focused on the effect of IAVR on imagery ability it may be useful to focus on imagery use (facilitative and debilitative) as the ability to image is of importance only in that it effects imagery use effectiveness (12). Therefore, future research should focus specifically on the effect of IAVR on amount of deliberate imagery use both during and after they complete the IAVR protocol. To that point, future applied research on IAVR would benefit from tracking season performance post intervention, or by athletes who use IAVR throughout a season. Additionally, the impact of IAVR on pitch recognition during in game would be a worthy pursuit. At this time, we do not know what the optimal length of an IAVR protocol would be for athlete imagery, psychological skill, or athletic performance. All these areas are ripe for future research to investigate.


Conclusion
Overall, the results of this study further support the value of an Imagery Assisted Virtual Reality protocol being used in sport. Specifically, this study showed that IAVR can increase performance statistics (pitch recognition) and imagery ability.


Applications in Sport
These findings have practical significance as they lend support for IAVR to be used by softball players to further both their in-game skills and psychological skills development. Furthermore, these findings add to the existing literature that indicates IAVR may be a cost effective and impactful tool for athletes in various sports.

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2024-07-18T10:12:55-05:00August 2nd, 2024|Research, Sport Training, Sports Coaching|Comments Off on Effective use of Imagery Assisted Virtual Reality in Pitch Recognition and Sport Imagery Ability Development

Perceptions of the purpose and role of volunteer coaches in the emerging NCAA sport of women’s triathlon

Authors: 1Sean Phelps PhD.

1Colorado Mesa University, Grand Junction, Colorado, USA

Corresponding Author:
Sean Phelps
Colorado Mesa University
1100 North Avenue
Grand Junction, CO 81501-3122
970.248.1158
[email protected]

Sean Phelps, PhD, is an assistant professor of sport management at Colorado Mesa University. His research interests include organizational theory, national governing bodies, and international sports

Perceptions of the purpose and role of volunteer coaches in the emerging NCAA sport of women’s triathlon

ABSTRACT

Purpose: While the academic research into volunteer coaches in youth sports is robust and prevalent, the same cannot be said for volunteer coaches involved in intercollegiate sports. The NCAA rules/guidelines for incorporating volunteer coaches into various sports range from the previously specific, but no longer allowed, (Division I, particularly football and basketball) to the more general (Division II and III). Using the emerging NCAA sport of women’s triathlon as the case study, this project asked the coaches of the 40 institutions presently sponsoring women’s intercollegiate triathlon about their perceptions regarding volunteer coaches.

Methods: A qualitative interpretive research approach was used to allow each respondent to make sense of their individual situation. A web based open-ended questionnaire was sent to all NCAA women’s triathlon head coaches and paid assistants and selected coaches were also interviewed (representing all three NCAA divisions).

Results: Twelve (30%) coaches responded to the survey. Results indicated that four main themes were derived from the data: gratitude, caution, acceptance, and personal traits.
Conclusions: The perceptions of existing NCAA coaches regarding volunteer coaches may become a gateway or a barrier. A volunteer coach might complement the head coach and fill in the gaps in other areas such as sport specific expertise, fundraising, and social functions. Implications of the study include that volunteering can serve as the apprenticeship before becoming a paid coach.

Application in Sport: USA Triathlon, as the National Governing Body for the sport, has a personal stake in creating highly trained, experienced, and specialized draft legal coaches for its juniors, developmental and Olympic programs. The NCAA emerging sport of women’s draft legal triathlon is one way in which to accomplish these goals.

Keywords: sport coach, college sport, National Governing Body, emerging sport

“There is nothing stronger than the heart of a volunteer.”
Jimmy Doolittle

In January 2014, the National Collegiate Athletic Association (NCAA) approved women’s triathlon as an emerging sport (36). An emerging sport must reach 40 institutions before the NCAA recognizes the sport (and then provides funding for national championships) (14). In 2022, USA Triathlon, as the National Governing Body (NGB) of the sport, reported that 40 schools had adopted women’s triathlon and that the process for full NCAA recognition could begin (T. Yount, personal communication, 8 February 2023). USA Triathlon (USAT) is the driving force behind this initiative (both politically and financially) (36). USA Triathlon has an organizational stake in this because it needs to identify triathletes who can compete on an international level and eventually contend in the Olympic Games as well as developing future high performance coaches. USAT also offers a coaching education and certification program.
Under the USA sports system, colleges and universities are often the training grounds for Olympic athletes (7). Prior to the 2014 initiative by USAT, this training ground did not exist. USAT also wanted to develop the international style of racing domestically. At the Olympic level, triathlons are draft legal, meaning during the cycle portion of the triathlon competitors are allowed to ride behind one another just like bicycle racing. This is different from a traditional non-drafting event where cyclists must be separated from one another by several meters. The NCAA draft legal format is a 750-meter swim, followed by a 20-kilometer bike and ending with a 5-kilometer run, which is the sprint distance under World Triathlon rules (59). World Triathlon is the International Federation for the sport of triathlon.


As the USA had been slow in the adoption of the draft legal format for competitors compared to other countries (38), it also is behind much of the world with triathlon coaches who have draft legal experience. So much so, that USA Triathlon started recruiting interested existing coaches in 2014 to specialize in this format of racing (55). Additionally, the NGB also is developing a mentorship program for college coaches (56). Head coaches may have come from a swimming or running background, have Ironman™ coaching certifications and/or have experience of their own as age group triathletes. Furthermore, college and university athletic departments might only want to pay for a head coach to keep overhead down until full recognition by the NCAA is obtained. Enter the volunteer coach. Volunteer coaches may allow for simple division of labor and tap into expertise or particular skill sets. They may be able to manage administrative duties such as scheduling, team uniforms and/or trouble shooting. Volunteer coaches may allow head coaches to “fill in the gaps” in terms of content expertise (i.e., swim, bike, run, organization, fundraising) as the sport works towards full NCAA recognition as well as operating under the present rules of that organization (33-35).


In November of 2021, USAT presented to the Collegiate Triathlon Coaches Association the “current state of the sport.” At that time, 70% of the institutions sponsoring women’s triathlon used at least one volunteer coach in 2021 (62). A further breakdown showed 50% of volunteer coaches assisted with the swim, 57% assisted with the bike and 47% assisted with the run. “Indicating that some volunteers help with more than one sport” (62). USAT also found that volunteer coaches also assisted “with race management, transportation, bike maintenance, physical therapy and recruiting” (62). This information provided a starting point for the project. Thus, the research question is: what are the perceptions of head coaches as to the purpose and role of volunteer coaches in the emerging NCAA sport of women’s triathlon?


College sports in the USA has long used the apprenticeship-approach to training and educating future coaches. If not a student-athlete, one becomes a manager or intern as an undergraduate, then becomes a graduate assistant, then an assistant coach and, finally, a head coach. Since triathlon is new and classified as an emerging sport, this traditional pathway does not yet formally exist. While it is a time-honored tradition to use playing experience at the beginning of a coaching career rather than specific education pertinent to coaching in general and sport specific (44), draft legal experience for existing triathlon coaches in the USA is still rare. Triathlon is not a high school sport and does not have as structured and formalized club system as USA Swimming or USA Gymnastics. The incorporation of volunteer coaches, particularly those with draft legal experience, might be one way to increase the pool of knowledgeable coaches that then possibly become available to new NCAA programs. Head coaches can be “instrumental in the career development of their head assistant coach, indirectly preparing them for future head coaching positions” (40, p. 11). Volunteering could become the apprenticeship and help train future coaches. Until more student-athletes graduate from the sport, and move into coaching through those traditional pathways, volunteer coaches may be an untapped resource.


LITERATURE REVIEW
Before proceeding, it is important to provide operational definitions of the terms volunteer and perceptions. These definitions are the operational “guardrails” for the study. Volunteers are people, who for a variety of motives, decide to donate their time and, often, their money to a particular group or cause (39). Perception is the “process of integrating, organizing, and interpreting sensations” (26, p. 80) and “…the way you think about or understand someone or something” (51).
According to the U.S. Bureau of Labor Statistics (53), about 62.6 million people volunteered between September of 2014 and September of 2015. These same statistics showed the more education one has, the more likely that person is to volunteer. Other statistics included those volunteers provided a median of 52 hours annually and those men and women volunteered at near the same rate (52 hours vs. 50 hours, respectively). Volunteers were “most likely to volunteer for religious organizations, followed by education or youth service organizations,” and those individuals who possessed a bachelor’s degree or higher “were more likely to provide professional or management assistance or to tutor or teach than volunteers with less education” (53). Volunteers can provide an economic benefit for nonprofit organizations (4) by taking on “staff-like roles to control costs” (24, p. 201). Volunteer sports coaches through their social interactions and engagement could become “community assets” (23, p. 322).


Within the academic literature, the topic of volunteering, in general, regarding motivation, meaning, sense of community, and perceptions have been significantly studied (10, 42, 43, 49, 58). Youth sports have also been extensively study: from training (15, 22, 45), education (28), motivation (3), behavior (18, 27, 31), relationships/wellbeing (25, 46, 52) and efficacy (6, 8, 16, 50). Organizations such as the National Alliance of Youth Sports, Positive Coaching Alliance, Good Sports and TrueSport focus on youth sports, youth coaches, and parents. To coach under the auspices of the US National Governing Body system, a coaching certification program is required to include SafeSport certification (54). However, for any coach at the college/university level, there may be no certification requirements. While focusing on career and job coaching, Schimdt-Lellek and Fietze (47) could just as well have been discussing intercollegiate sport coaches as “coaching…is not protected by state laws; there is no state license and no public mandate and thus no defined monopoly for this professional activity” (p.746). Thus, there is no formal governance structure mandating certain education requirements or certifications to become a college coach.


Finally, research focused on assistant coaches is also scarce and not systematic in nature (19, 20). Rathwell et al. (40) looked at the perceptions Canadian university head football coaches had when hiring assistant coaches. Their findings showed that head coaches hired “loyal assistants who possessed extensive football knowledge that complimented their own skill sets” (p. 5). Additionally, they also discovered that head coaches looked at the experience an assistant coach had both as an athlete and as an assistant coach. These head coaches also wanted assistant coaches who “cared about their athletes’ personal growth and development” (p. 12). This finding echoes previous research regarding university head coaches (5, 12, 57).


METHOD
This project is a basic interpretative qualitative study (32) in that the researcher is “interested in understanding how participants make meaning of a situation or phenomenon, this meaning is mediated through the researcher as instrument, the strategy is inductive, and the outcome is descriptive” (p. 6). The project is designed to “hear the voices of the people, analyse the themes and present a thoughtful overview of the results…[it] describes and interprets, but has no theoretical underpinnings” (48, p. 5). It is also interpretive in nature because it is:
shaped by human experiences and social contexts (ontology), and is therefore best studied within its socio-historic context by reconciling the subjective interpretations of its various participants (epistemology). Because interpretive researchers view social reality as being embedded within and impossible to abstract from their social settings, they “interpret” the reality though a “sense-making” process rather than a hypothesis testing process. (41) This differs from a traditional positivist approach where theories are evaluated and verified, incorporating closed-ended questions using pre-determined approaches and involving some sort of statistical analysis (1).

Using a case study format allows for “an empirical method that investigates a contemporary phenomenon (the ‘case’) in depth and within its real-life context” (61, p. 15). A case study is a research technique “used in sport management to examine (e.g., observe, explore) certain factors of a sport industry subject (e.g., event, person, group, company, organization, system) for a certain time period” (1, p. 139). Simply put, the technique allows for a detailed analysis of a specific activity, situation, or practice (1). The case is NCAA women’s triathlon coaches’ perceptions of the purpose of volunteer coaches.


USA Triathlon has a list on its website of all the NCAA schools presently competing in women’s triathlon as an emerging sport. Each of those institutions has an athletic department website that has triathlon information available in the public domain. Additionally, the Collegiate Triathlon Coaches Association also has a list of all head coaches from these institutions as well as the assistant coaches (paid and volunteer). These two sources comprise the study’s participants. Purposive sampling is the selected technique.


A web based Qualtrics™ survey with some demographic and background questions as well as 13 open-ended questions was emailed to all subjects within the specified sample. A provisional list of 25 open-ended questions were developed by the researcher based on a review of the existing literature within youth sports and input from a representative from USA Triathlon. Questions were then reviewed by two different academics at two different institutions; one responsible for a coaching minor (and a former NCAA coach) and the other responsible for a coaching major (and involved with youth sports). The original list of 25 was reduced to 15 and then two of the questions were combined to create the final 13 questions used in the questionnaire (see Appendix A). The use of open-ended questions allows “the researcher to understand and capture the points of views of others without predetermining those points of view through prior selection of questionnaire categories” (37, p. 21).


After approval from the university’s IRB (Protocol 23-12), an email invitation to complete the qualitative survey was sent by the researcher to all NCAA triathlon coaches that included a link to the web based survey. Informed consent was presented and obtained at the beginning of the survey. Also included in the invitation was information regarding follow-up phone/video interviews. Interested respondents were invited to a phone or internet conferencing (i.e., Zoom, Teams, Skype) interview. Zoom offers an auto-transcription feature that expedites data review. Those respondents who expressed interest in participating in an interview included their email address with their submission of the survey. Additionally, USAT sent out a prompt to the coaches promoting the study. A representative from USAT who is involved with their NCAA women’s triathlon initiative was also invited to participate in the interview.


The interview followed a list of semi-structured questions derived from the original survey to allow for the interviewee to expand upon their thoughts regarding the survey (see Appendix B). A division designation replaced each respondent’s name to maintain anonymity and confidentiality (i.e., DIa, DIIa, DIIIa, NGB). A reminder email was sent six weeks after the initial invitation to the intercollegiate triathlon coaching population to increase the participation rate. For those respondents who agreed to be interviewed, a separate informed consent form was required by the university’s Internal Review Board. This form was signed by the participant and returned to the author.


Results from the surveys and the interviews were then coded by the author. Coding is taking the raw text and “moving you from a lower level to a higher (more abstract) level of understanding” of the data (2, p. 35). The next step is to further reduce the information to smaller pieces is identifying themes, or similarities in the text (2). Similar words and phrases categorize the same feelings/experiences (1). For example, “personality” or “approachability” might be traits a volunteer coach could have. Then the data is triangulated incorporating several types of data collection to focus on the case (21). In this instance, the use of an online survey and interviews were the two data collection methods combined with materials from USA Triathlon.


Finally, trustworthiness, credibility, and rigor (29) involving the researcher and the data must be addressed. The author has 42 years of experience in the sport of triathlon (including draft legal races as an age group athlete, both domestically and internationally), is a former triathlon race director, former NGB employee, former team manager and age group committee member of a foreign triathlon National Sports Federation, a former academic advisor and coach of a university club team, wrote the grant application for another institution that added intercollegiate triathlon, and, at the present time, is a volunteer coach of an NCAA women’s triathlon team.


RESULTS
The survey garnered a 30% response rate (12/40) and eight coaches (one DI, two DII and three DIII) agreed to respond to the interview questions in writing rather than by phone or video. One DI and one DII coach agreed to be interviewed by video. Additionally, the representative from USA Triathlon responded to the questions in writing.


Basic demographic information showed that seven women and five men completed the survey. Five of the women were between the ages of 35-44 and the other two were 45-54. The five men ranged from one in 35-44, three in 45-54, and one in 55-64. Five women hold master’s degrees, one holds a bachelor’s degree, and the other holds an associate degree. For the men, three hold a bachelor’s degree and two hold a master’s degree. Additional coaching certifications (i.e., USA Triathlon, USA Swimming, USA Cycling, USA Track and Field, SafeSport, National Federation of High Schools, or others), were held by all respondents. SafeSport certification is required by all NGBs for their respective coaching certifications. As a result, all individuals possessed this credential. Eight people hold at least the entry level USA Triathlon Level 1 coaching certification. Three hold a USA Swimming certification while two hold an American Swimming Coaches Association credential. Three hold a USA Cycling coaching certification and one also holds a USA Track and Field certification. Additional certifications include Ironman™, Road Runners Club of America™, certified strength and conditioning coach and a coaching certification in the sport of triathlon from another country. For their individual primary sport background, five women and four men indicated triathlon was their primary sport background while two women and one man indicated swimming. All seven women indicated they were the head coach of a program while four men did so. There was one male respondent who listed being a paid assistant coach. Finally, four NCAA DI schools were represented (two women, two men), four DII schools (two women, two men), and one DIII school (male). Three respondents did not indicate their institution’s NCAA participation level.


Four major themes were derived from the raw survey and interview data: gratitude, caution, acceptance, and personal traits. Gratitude was demonstrated by being thankful or appreciative for a volunteer’s assistance. The National Governing Body representative provided this explanation regarding volunteer coaches incorporating gratitude:
I speak to hundreds of administrators and the messaging from me is that I feel many of our teams are underutilizing the volunteer coach. We have some amazing options in every NCAA collegiate community. The volunteer coach cannot only assist with practices, but they are an amazing sounding board for other discussions that coaches desire at various points during a season on so many other topics. Other times they can help administratively or with recruitment. Some are [physical therapists] and can support recovery needs. Others can speak to mental health woes and ways for athletes to combat fears in many areas. The list of ways that volunteer coaches can be leveraged is unnumerable. USAT might need to do a better job of positioning coaches with NCAA programs with those we know who are reliable and ready to support our institutions through the course of a race season.


Similar positive sentiments were provided by other coaches regarding the value of volunteer coaches.
We have been fortunate to have volunteer coaches work with our athletes…and they have contributed greatly to the development and performance of our athletes. Volunteers bring an expertise to designing and overseeing some of our team training objectives. Their passion of the sport of triathlon is evident in that they are giving of their time and talents to the benefit of our team and the sport. (DIIa)
DIIb added:
Volunteer coaches are instrumental in the emerging sport initiative. Without their selfless dedication of time, I would not be able to have a program. They are just unpaid assistant coaches. They do all the same duties, helping out on a daily basis with practices, and on the road. They are imperative to the success of the program.
DIIIb felt that volunteer coaches have “the highest value, not only does it help the athletes, but allow[s] that person an opportunity to pad their resume.” DIIIa stated “volunteers play an integral role in giving out student-athletes a better college experience…they have been a help and blessing to me and my team, throughout my coaching career.” DIIIa also incorporated a volunteer coach in all areas of the team and program:


Up to including every aspect of the team. Assisting the head coach in all areas of recruiting, coaching, practice planning and execution, travel planning, traveling, running practices, etc. The more the volunteer is willing to take on, willing to work on, willing to learn, the more I am willing to give them!


DIb added that a volunteer coach also provides camaraderie and support to the head coach, especially in these early years of the sport because there may be no coaching staff compared to existing NCAA sports. Without the volunteer coach, there might just be the head coach operating alone in an athletic department. “[Your] coaching changes when you have that much help. It literally changes.” DIIc stated:
I could not have done it without the volunteer coaches. It would have been impossible [without them]…and foolish not to take advantage of [their commitment]. [Locally], I have access to a professional triathlete, a woman who is triathlete, is involved with a women’s triathlon group, and a well-respected businessperson in the community…and a faculty member with decades of experience in the sport.


DIIIa felt a sense of obligation to assist the volunteer coaches:
With every volunteer I have, I ask them what area do they want to do the most? What area would they like to learn more? What areas are they interested in most?…Then I focus on those things. My way of “paying them” for their time is to help them learn about themselves and learn skills that will help them with their next position, hopefully a paid one. My point is to train them for their next move.


One survey respondent shared this outlook:
Many volunteer coaches are looking for experience so that they can hopefully get a paying job (head or assistant coach) at a university…the head coach should support them in that and try to educate them and give them hands on experience in all aspects of collegiate coaching so that feel better prepared to take on a paid position.
Comments from the survey were more guarded and highlighted the caution theme. One coach commented on the “lack of qualified draft legal experience” as a reason for not using volunteer coaches. Other coaches restricted the duties of a volunteer coach: “help with leading workouts and travel” and “just for bike sessions or to cover a practice if both the head coach and assistant coach are away.” A few coaches assigned only duties based on a volunteer’s experience or creating social activities for the team. One coach indicated that “I would not leave travel, budget, program writing, [or] compliance to a volunteer. That needs to be done faultlessly.” Another survey respondent replied that “none as of now” regarding incorporating a volunteer coach in their program.


Expectations can be defined as what the head coach wants from a volunteer. That can be a simple as the most identified item: “know the sport.” It can also include time commitments to the program and athletes. An example of what a coach wants is “just hands on coaching” or “mostly hands on coaching” from survey respondents. Another respondent wanted a volunteer coach to specialize in a specific discipline (swim, bike, or run). DIb said, “It’s a combination of administrative and works outs…maybe 60%/40%.” DIIc added:
[The] volunteer coach serves at the discretion of the head coach….They need to support the vision, mission, and philosophy of the head coach…They need to know who we are and believe in it…Our core values are a part of everything. Everyone understands what the program is about.


Responses to the time commitment question were quite varied, ranging from 2-16 hours per week. One coached expected a “minimum of 10 hours a week” and that total would increase “based on their availability and goals as a volunteer.” Other responses were less specific with one coach replying, “just do what you say you’re going to do.”
DIIIb had higher expectations:
I would want the volunteer coaches to know about the sport of triathlon. First, they should be familiar with the amateur divisions and even better if they understand the junior elite model. Also, understanding the periodization aspect behind it will help to develop the tempo through the season. Secondly, a person with experience in swimming in [high school] and a robust running background would be the third option for a volunteer coach.
DIIIa was adamant about one expectation, an area of the program a volunteer would not be responsible for:

Basically, team discipline and athletic department meetings. [As the head coach], I am the face of the program, and I do not want there to be any misconceptions about who is in charge, who is making the decisions, and who ultimately responsible for steering the ship. Also, for a volunteer, I do not think they need to be responsible for every aspect of the team.
Adding to the “off limits” feeling, DIb revealed, “the biggest one…would be some intimate individual meetings that I have” with student-athletes. If “it’s gonna be a more intimate type of meeting, and we need to touch on some hard issues, I won’t have them sit in on those.” DIb would also not use volunteers in the recruiting process because of the turnover at that position. The head coach needs to develop that personal relationship with each recruit. DIIc stated, “[They] should not be communicating with the administration…not handling money or finances…and not be involved in any off campus recruiting.”

Personal traits were the one theme that was consistent across all respondents and interviewees. Terms such as professionalism, honesty, integrity, positivity, personality, and a willingness to learn were highlighted. One respondent stated that volunteer coaches need to be “approachable, care about the student athletes and their success” while another provided a similar comment wanting a volunteer coach to be “approachable, honest, takes time to connect with the athletes, open-minded, supports my vision and the team culture.”
Knowledge, skills, and attributes came through as a component of personal traits. DIIIa said, “Obviously, the higher the knowledge and experience in the sport, the better…I do not expect them to have the greatest experience or knowledge in the sport. But a willingness to learn and help lead our student-athletes in a positive way.”
Experience was emphasized by all those completing the survey. Comments such as “experience and personality are key” and “experience and understanding draft legal” are reflective of this feeling. One coach went more in-depth regarding expectations on experience: “Experience coaching swimming, biking, and/or running at any level; having at least participated in a triathlon; preferably already USAT certified but would like them to have some sort of coaching certification (swimming, biking, running).”

DISCUSSION
As this project was nearing completion, the NCAA DI Council adopted the recommendations of the NCAA DI Transformation Committee to eliminate the voluntary coach designation across all sports (11). DII and DIII programs can still incorporate volunteer coaches according to information disseminated by USA Triathlon (T. Yount, personal communication, 8 February 2023), but the coach representing institution DIIIc indicated that school is not allowing volunteer coaches; “they must be paid.”

DIa felt:
I do believe volunteer coaches could add great deal of value to a program. Volunteer coaches can add another set of eyes and insight into your team and specific athletes. All coaches have their own way of communicating with athletes. Sometimes when an athlete hears something in a new way it might click…Unfortunately…the use of volunteer coaches [is not]…permitted in the NCAA.

DIb replied:
The volunteer [coach] was a little more challenging because they are a volunteer, and they’re doing for a specific reason, and you’re trying to give them what they are there to learn, but you need them in other ways. [Volunteers are] a little more challenging than when they are paid, because when they are paid you can be more like “these are the things I want done.”…it is a bit challenging trying to manage what they really should do that’s benefitting them and helping you.
This action by the DI Council may eliminate opportunities for volunteer coaches, but with the economic constraints faced by all DII and DIII schools, chances are these institutions may appreciate the assistance. The statements made by DII and DIII coaches provide a welcoming and accepting attitude towards volunteer coaches.

LIMITATIONS
With a 30% response rate (12/40) to the survey, the challenge is to draw any meaningful conclusions from the data collected. Online surveys often have lower response rates compared to other types of surveys (9, 60). However, sample sizes of less than 500 with a response rate of 20%-25% can offer some confident approximations (17). A concerning limitation is that only two coaches chose to be interviewed directly via phone or video call. All others chose only to respond to the questions in writing. This lack of one-on-one interaction eliminated the possibility of follow-up questions and gaining immediate clarifications. An additional limitation to the study, is that not all questions were answered in the survey. No one answered the Question 15 regarding what is needed to plan, lead, organize and evaluate their program. Only half the survey respondents answered Question 17 concerning what protections/services are covered by the institution for volunteer coaches (i.e., insurance, travel, tuition waivers). Those who did respond indicated they were unsure, or that nothing was provided in this area.
Finally, there is a lack of additional member fact checking which can be perceived as a limitation. As there was only one researcher, there was no additional review of the raw data during the coding and thematic analysis. The interpretation of the data is based on only one person’s review. However, “interpretation means attaching significance to what was found, making sense of findings, offering explanations, drawing conclusions, extrapolating lessons, and otherwise imposing order on an unruly but patterned world” (37, p. 480). Thus, one must default back to the trustworthiness and credibility of the author. The reader should feel comfortable that the results are “balanced, fair, and conscientious in taking account of multiple perspectives, multiple interests, and multiple realities” (37, p. 575).


CONCLUSION
As the National Governing Body for the sport of triathlon, USA Triathlon has a professional stake in both developing future world class triathletes and future national team coaches. Creating highly trained, experienced, and specialized draft legal coaches also impacts the junior and developmental ranks for the NGB. The NCAA emerging sport of women’s draft legal triathlon is one way in which to accomplish these goals. In addition to “the effort is part of a larger strategic initiative by the NCAA to grow female participation through its Emerging Sports for Women program” (30). The inclusion of draft legal triathlon also provides additional opportunities for female student-athletes which may help institutions with Title IX concerns.
The perceptions of existing NCAA coaches regarding these volunteer coaches, therefore, become a gateway or a barrier. Thus, NCAA DII and DIII “programs need to provide infrastructures that foster and support effective volunteering” (24, p. 199). Part of that infrastructure is defining the role of a volunteer coach and providing training as well as protections such as liability insurance (13). Future research could focus on USA Triathlon’s increased involvement in educating and training coaches in draft legal racing as well as developing a post-graduate pathway for women to transition from student-athlete to coach. Additionally, what is not addressed in this project deliberately, are the motivations of volunteer coaches in the sport of NCAA women’s draft legal triathlon. That is a question for future research and as part of the larger research question about volunteer coaches in other NCAA sports.


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APPENDIX A
Qualtrics survey questions

  1. Gender
  2. Age
  3. Education
  4. Please list your present coaching certifications (i.e., USA Triathlon, USA Swimming, SafeSport)
  5. Primary Sport Background
  6. Your Primary Role
  7. What NCAA Division is your program?
  8. Please answer this question if you do not presently incorporate volunteer coaches into your program. All others please go to Question #9.
    What reasons exist for not using volunteer coaches?
  9. As the head coach (or as a paid assistant), what are your expectations for volunteer coaches?
  10. What are the requirements (if any) and expectations of the institution has for volunteer coaches (i.e., NCAA certification, 1st Aid/CPR/AED, Police/FBI Background Check, SafeSport)?
  11. How do you recruit volunteer coaches?
  12. How do you incorporate volunteer coaches in your program (i.e., leading practices, travel arrangements, PR)?
  13. What is the hourly / weekly commitment expected from the volunteer coach?
  14. What qualifications do you feel are critical to the success of a volunteer coach?
  15. What do you need to plan, lead, organize and evaluate your program?
  16. Where do you need assistance with your program?
  17. What protections are covered by the institution (i.e., insurance)?
  18. What can a volunteer coach receive from the institution and still be considered volunteer (i.e., stipend, travel allowance, team attire)?
  19. What duties are you planning to assign the volunteer coach? Administrative? Hands on coaching? Program writing?
  20. How might the volunteer coach have a part to play in the succession planning around the program?
  21. If there is anything else you would like to add, please feel free to do so here. We thank you for your participation.  

APPENDIX A
Qualtrics survey questions

  1. Gender
  2. Age
  3. Education
  4. Please list your present coaching certifications (i.e., USA Triathlon, USA Swimming, SafeSport)
  5. Primary Sport Background
  6. Your Primary Role
  7. What NCAA Division is your program?
  8. Please answer this question if you do not presently incorporate volunteer coaches into your program. All others please go to Question #9.
    What reasons exist for not using volunteer coaches?
  9. As the head coach (or as a paid assistant), what are your expectations for volunteer coaches?
  10. What are the requirements (if any) and expectations of the institution has for volunteer coaches (i.e., NCAA certification, 1st Aid/CPR/AED, Police/FBI Background Check, SafeSport)?
  11. How do you recruit volunteer coaches?
  12. How do you incorporate volunteer coaches in your program (i.e., leading practices, travel arrangements, PR)?
  13. What is the hourly / weekly commitment expected from the volunteer coach?
  14. What qualifications do you feel are critical to the success of a volunteer coach?
  15. What do you need to plan, lead, organize and evaluate your program?
  16. Where do you need assistance with your program?
  17. What protections are covered by the institution (i.e., insurance)?
  18. What can a volunteer coach receive from the institution and still be considered volunteer (i.e., stipend, travel allowance, team attire)?
  19. What duties are you planning to assign the volunteer coach? Administrative? Hands on coaching? Program writing?
  20. How might the volunteer coach have a part to play in the succession planning around the program?
  21. If there is anything else you would like to add, please feel free to do so here. We thank you for your participation.  

APPENDIX A
Qualtrics survey questions

  1. Gender
  2. Age
  3. Education
  4. Please list your present coaching certifications (i.e., USA Triathlon, USA Swimming, SafeSport)
  5. Primary Sport Background
  6. Your Primary Role
  7. What NCAA Division is your program?
  8. Please answer this question if you do not presently incorporate volunteer coaches into your program. All others please go to Question #9.
    What reasons exist for not using volunteer coaches?
  9. As the head coach (or as a paid assistant), what are your expectations for volunteer coaches?
  10. What are the requirements (if any) and expectations of the institution has for volunteer coaches (i.e., NCAA certification, 1st Aid/CPR/AED, Police/FBI Background Check, SafeSport)?
  11. How do you recruit volunteer coaches?
  12. How do you incorporate volunteer coaches in your program (i.e., leading practices, travel arrangements, PR)?
  13. What is the hourly / weekly commitment expected from the volunteer coach?
  14. What qualifications do you feel are critical to the success of a volunteer coach?
  15. What do you need to plan, lead, organize and evaluate your program?
  16. Where do you need assistance with your program?
  17. What protections are covered by the institution (i.e., insurance)?
  18. What can a volunteer coach receive from the institution and still be considered volunteer (i.e., stipend, travel allowance, team attire)?
  19. What duties are you planning to assign the volunteer coach? Administrative? Hands on coaching? Program writing?
  20. How might the volunteer coach have a part to play in the succession planning around the program?
  21. If there is anything else you would like to add, please feel free to do so here. We thank you for your participation.  

APPENDIX A

Qualtrics survey questions

  1. Gender
  2. Age
  3. Education
  4. Please list your present coaching certifications (i.e., USA Triathlon, USA Swimming, SafeSport)  
  5. Primary Sport Background
  6. Your Primary Role
  7. What NCAA Division is your program? 
  8. Please answer this question if you do not presently incorporate volunteer coaches into your program. All others please go to Question #9.
    What reasons exist for not using volunteer coaches?  
  9. As the head coach (or as a paid assistant), what are your expectations for volunteer coaches?
  10. What are the requirements (if any) and expectations of the institution has for volunteer coaches (i.e., NCAA certification, 1st Aid/CPR/AED, Police/FBI Background Check, SafeSport)?  
  11. How do you recruit volunteer coaches?
  12. How do you incorporate volunteer coaches in your program (i.e., leading practices, travel arrangements, PR)?
  13. What is the hourly / weekly commitment expected from the volunteer coach? 
  14. What qualifications do you feel are critical to the success of a volunteer coach?
  15. What do you need to plan, lead, organize and evaluate your program? 
  16. Where do you need assistance with your program? 
  17. What protections are covered by the institution (i.e., insurance)? 
  18. What can a volunteer coach receive from the institution and still be considered volunteer (i.e., stipend, travel allowance, team attire)? 
  19. What duties are you planning to assign the volunteer coach? Administrative?  Hands on coaching?  Program writing?
  20. How might the volunteer coach have a part to play in the succession planning around the program?
  21. If there is anything else you would like to add, please feel free to do so here. We thank you for your participation.

APPENDIX B

Semi-structured interview questions

  1. In general, what are your overall perceptions of the role(s) that volunteer coaches play in your program?
  2. What specific knowledge, skills and attributes do you want your volunteer coaches to possess?
  3. What areas do volunteer coaches cover in your program (i.e., writing workouts, supervising practices, fundraising)?
  4. What areas do you not allow volunteer coaches in your program to be involved with?
  5. What value do you place on having volunteer coaches?
  6. How do you incorporate your volunteer coaches into the overall team culture?
  7. Is there anything else you would like to add?


2024-07-18T10:40:06-05:00July 19th, 2024|Sports Coaching|Comments Off on Perceptions of the purpose and role of volunteer coaches in the emerging NCAA sport of women’s triathlon
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