Qshequilla Parham Mitchell2024-09-05T09:14:19-05:00

The Youth Olympic Games Educational Program

Qshequilla Parham Mitchell2024-09-05T09:14:19-05:00August 23rd, 2024|Olympics, Research|

Through Experiential Learning Theory Lens

Authors: Jannicke Staalstroem OLY^1,2 , Marina Iskhakova ³, Alex C. Gang ⁴, and Zack P. Pedersen ⁵

¹School of Sport Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway

²Faculty of Education and Social Work, The University of Sydney, Sydney, Australia

³Research School of Economics, Australia National University, Canberra, Australia

⁴College of Education, Washington State University

⁵Department of Kinesiology & Sport Management, Texas Tech University

Abstract

Purpose: The Youth Olympic Games (YOG), the largest international sport event for young athletes, allows athletes to take part in an Olympic educational program. These programs have never been examined through the lens of Experiential Learning Theory (ELT). The purpose of this study is to provide in-depth analysis and evaluation of all YOG educational programs design by date (2010 – 2020) through the lens of ELT and to uncover the areas of where the strengthening of the programs impact is feasible and encouraged.

Methods: A thorough YOG documents analysis was performed on the six YOG`s educational programs by examining the place and role of each of the four elements of ELT and how prevalent they were.

Results: Results of our analysis show that YOG educational programs are not properly balanced and that concrete experiences turned to be the mostly and overly covered in the six games by the price of other critically important ELT stages. Reflective observations and abstract conceptualizations come into play sporadically and also only in later games, although still underwhelmingly. Active experimentations are covered through media activities in most of the games and the whole potential of the stage is due to be fully utilised.

Conclusions: YOG educational program impact on YOG athletes could be significantly enhanced by embracing and sufficiently incorporating all 4 ELT stages into the program design and delivery.

Applications in Sport: This study highlights the potential of ELT as a theoretical tool for addressing the impact learning and change the educational program can have on the YOG participants. The performed document analysis suggests on how learning can be enhanced for the YOG athletes. Suggestions for the future YOG educational program designers are formulated and provided.

Keywords: Educational Program, Youth Programs, Olympic Education, Experiential learning, Young Athletes

Examining The Youth Olympic Games Educational Program Through Experiential Learning Theory

 The educational purpose of the Youth Olympic Games (YOG) is delivered to the athletes through the YOG educational program (IOC, 2016, 2019), founded on the concept of Olympism (Naul & Binder, 2017). The YOG was established to be more than a sporting event, whereby through the Olympism perspective and Olympic values (i.e., excellence, friendship, respect) young athletes could be instructed on topics like healthy lifestyles, doping issues, global challenges, and their potential role as sport ambassadors (IOC, 2011). Additionally, the YOG was intended to reignite Olympic ideals, which were perceived to be lacking in the contemporary Olympic Games (Naul, 2010, p. 23). The IOC hoped that the YOG athletes would carry positive values throughout their sporting event, and in their working and private lives (IOC, 2011).

Therefore, the Olympic movement saw the YOG as a way of instilling health, sport, and social values, in addition to Olympism (Parry, 2012). To accomplish this, the educational program was crucial for the IOC and the YOG, given that the young athletes are at such an important developmental stage in life. YOG educational programs have been modified to meet the four learning pillars stipulated by the IOC and the YOG Organizing Committee (i.e., learning to know, to do, to be, and to live together; YOGOC). Each YOGOC exercised its autonomy to establish various educational formats, which reveal limited consistency from one YOG to the next. Although the educational programs of the YOG carry significant importance in instilling positive values in the lives of young athletes, its effectiveness is hindered by inconsistencies within the learning formats and the network of partner organizations. This reveals an absence of a reliable mechanisms capable of adequately scrutinizing the foundations of the programs as well as their learning potentials. Reflecting on the need to better understand the educational programs, we suggest that Kolb’s Experimental learning theory (Kolb, 1984) is a valuable theoretical tool to assess and strengthen learning for the athletes who are in a critical developmental stage. According to Newman et al. (2018), historically this method of ELT programming and its related practises have found to be effective when working with youth (Conrad & Hedin, 1982; Gosen & Washbush, 2004; Kolb & Kolb 2008). Therefore, the IOC and the YOGOC educational program developers have the opportunity to implement experiential learning methods to increase youth athlete’s knowledge (Kolb & Kolb 2009a). Additionally, these programs have the chance to develop the young athletes’ skills on and off their field of play by highlighting their values and developing their capacities, such as contributing not only to themselves but to their communities as well (Kolb, 1984; 2015; Kolb & Kolb, 2005; 2008).

Literature Review

Experiential Learning Theory

Experiential learning theory (ELT) highlights the critical role that experience has on impacting learning and change (Kolb, 1984; 2015). ELT defines learning as a continuous process of adapting to an environment by acquiring new information, challenging existing knowledge, and re-learning/integrating new knowledge into action. Kolb (1984) defines it as “a dynamic process whereby knowledge is created through transformation of experiences” (p. 41). This theory postulates learning as a holistic process for the student (Kolb & Kolb, 2009b) adapting to the world, which requires the integrated functioning of the total person, such as thinking, feeling, perceiving, behaving, and interacting (Kolb, 2015). Some educational sport studies applying ELT have shown success with this model (Bethell & Morgan, 2012; Sato & Laughlin, 2018). Additionally, more studies within the broader spectrum of sports, encompassing areas such as sports education, management, psychology, and sociology, have utilized Experiential Learning Theory (ELT) to gain a deeper understanding of the influence of sporting activities on individuals, groups, and organizations (Newman et al., 2017). Although most of the existing research has focused on evaluating the educational potentials inherent in diverse sport activities, scholarly inquiry has swiftly expanded to encompass sport-related learning platforms (e.g., sport internships, sport-for-development programs) that leverage sport as a mechanism for effective learning (e.g., Brown et al., 2018; Sattler, 2018). It is noteworthy that ELT has not been applied in the context of the YOG or the Olympic athlete (Cisek, 2023).

Ultimately the holistic nature of ELT will fit well with the complexity and holistic nature of learning in the YOG educational program formats. Indeed, the way in which athletes conduct their learning through the YOG educational programs (i.e., activities), shapes the course of their professional and personal development. The YOG educational programs offer an ideal immersion environment that facilitates intense experiential learning by impacting athletes and their multifaceted professional and personal development (see the full details in Appendix 1).

We suggest that the YOG’s educational programs are designed and capable of bringing participants through the four stages of the experiential learning cycle identified by Kolb and Kolb (2005), as shown in the ELT framework in Figure 1. The ‘concrete experiences’ are the cornerstone of each of the YOG educational program offerings, and are where the students (i.e., athletes) can participate in new learning (Sato & Laughlin, 2018). Furthermore, the ‘reflective observation’ stage is facilitated by reflection and feedback sessions to review the experiences (Kolb & Kolb, 2015). The ‘abstract conceptualization’ is enforced by analytical reflection during the duration of the program through the post-event stage. ‘Active experimentation’ occurs during the post-event stage and is where the individuals’ (i.e., athletes) experiences are formed through the realization of increased cultural abilities according, to Kolb et al. (2015).

Figure 1. Application of Experiential Learning Theory framework to YOG educational program (YOG EP). Experiential learning: Experience as the source of learning and development.

This completes the ELT cycle when new knowledge is applied to real-life tasks for the participants (Chan, 2012; Roark & Norling, 2010; Sato & Laughlin, 2018). Kolb (1984; 2015) claims that learning occurs through the combination of grasping (i.e., taking in information) and transforming (i.e., interpreting and acting on the information) experiences. Foundational experiences provide opportunities for observation and reflection for the YOG athlete. Reflection leads to new ideas or modification of old ideas. Changing ideas lead to new implications and form the basis for experimentation. The process of actively testing ideas through experimentation creates new experiences and the cycle continues for the athlete. The continual process of experience, reflection, thought, and action creates new knowledge and new behaviour (Sato & Laughlin, 2018). This means that athletes’ learning abilities must be involved in a continuous and cyclical learning process which focuses on experience and reflection in a holistic perspective (Kolb & Kolb, 2005). Additionally, according to Kolb et al. (2001), the learner can enter any of the four stages in the learning cycle, although for effective learning all four abilities of the ELT must be present. Arguably for a young athlete who takes part in one YOG in their life over a time of 10-14 days, it may be challenging to “act and reflection at the same time in a new environment and take some experience” (Lehan, 2020, p. 243). Although with the right implementation (and some previous learning experience in the athlete’s own life) the transition of the programs activity and learning has the potential to be meaningful (Lehan, 2020).

Therefore, through a document analysis we demonstrate which facets of ELT are most utilized, thereby allowing suggestions on how the educational programs of the YOG may benefit in the future with the implementation of a holistic ELT approach.

YOG Educational Themes and Principles

The educational programs that the YOG constructs for the athletes at each of the Games are based on Olympism and Olympic education (Naul & Binder, 2017; Staalstroem, 2021), and are optional for any of the athletes. These Olympic learning activities are grounded in five key educational themes (i.e., Olympism, skill development, well-being and healthy lifestyle, social responsibility, and expression) and are carefully selected by each host nation’s YOGOC in cooperation with the IOC (IOC, 2015). The skill development theme encourages athletes to develop new skills throughout life and in doing so also forge positive friendships based on mutual respect. The well-being and healthy lifestyle theme not only focus on athlete-centric health issues but also goes beyond the athletes’ immediate needs as they are encouraged to develop healthy living habits which will always remain with them. The social responsibility theme introduces the athletes to the idea of being role models in society for not only sport but also for environmental and/or humanitarian issues by drawing on the positive experiences they have gained from participating in the YOG education program. The expression theme encourages the athletes to fully appreciate that their pursuit of excellence in sport and life is a valuable contribution to society. Therefore, it is important for the athletes to be able to share their experiences in a responsible manner across all mediums (IOC, 2015, pp. 60–62; Staalstroem, 2021, p. 8).

Based on UNESCOS educational strategy and recommendations (IOC, 2008, p. 106), the IOC developed the YOG educational program learning strategy to address the five key themes with four fundamental learning pillars, conceptualized as the “4 pillars of Education.” These four pillars are classified as learning to know (e.g., educational sessions), learning to do (e.g., educational activities), learning to be (e.g., educational forums), and learning to live together (e.g., synergetic events consisting of celebrating cultures and traditions). Here we can see that the IOC and YOGOC program developers can set the athletes up for the opportunity to challenge their learning with activities that combine different learning modes representing Kolbs learning cycle. Through these four pillars there are opportunities to accommodate the different learning preferences for each individual (Kolb & Kolb, 2022).

Each YOGOC had to ensure the five themes were introduced through fun-filled activities to provide learning and development opportunities blended with sports and culture (IOC, 2012). The educational programs have continually developed into a more focused educational learning program for the elite athletes (IOC, 2019). Furthermore, the educational activities in the program are divided into two parts (IOC, 2015). First, the IOC includes a number of activities for the athletes which involve international partners such as the World Anti-Doping Agency, for example. Topics covered by these activities include Olympism, Olympic history, fair play, anti-doping, anti-betting, injury prevention, ethics in sport, abuse in sport, sexual harassment, healthy body image, athlete career management, the environment, humanitarian issues, peace, children’s rights, and social media. The second group of activities are proposed by the YOGOC with content based on the expertise of the local national organising committee and their partners.

Reflecting on the gap in current literature as described above, this study utilizes ELT to conduct a systematic analysis of all YOGs educational programs offered since their introduction in 2010. The following research question was established to guide the researchers through the research process:

RQ: How can the educational programs in the six YOG (and the way they evolved over time) be assessed and advanced through the experiential learning theory?

Methodology

Materials and Design

Before starting this section, a personality statement: It is important to acknowledge when this article was in its infancy one of the researchers is a three-time Olympian and had been involved in several YOGs in various roles over a decade (coaching and attaché). This researcher`s positionality influences this research including the choice of topic. Therefore, detachment and objectivity were a requirement for producing reliable knowledge during data collection (Bowen, 2009). Additionally, the rational for choosing one method was to suggest ELT in a practical setting for future research to add more value to the program.

To examine the research question stated above, a document analysis was conducted, which included all documents published by the IOC (see Appendix) that provided critical information (e.g., formats, designs, activities) on the educational programs implemented at the six previous YOGs. Viewed as a qualitative research method, document analysis entails a systematic process to review and assess both printed and online documents (Bowen, 2009). Documents are comprised of words and images that are created and shared independently from researchers’ involvement and interest in the YOG and its Olympic educational program. Scholars, such as Atkinson and Coffey (1997) consider documents as social facts to indicate that their usage and dissemination are compounded upon socially organized contexts. Through utilizing document analysis as the methodological lens, researchers aim to examine documents to elicit meaning and establish empirical knowledge (e.g., Corbin & Stratus, 2008) about the YOG educational programs activities over the six games in the history. While document analysis is often used in conjunction with other qualitative methods (e.g., interviews, participant observation) for the purpose of triangulation, it can be employed as the sole method, if its limitations are properly addressed. A common critique on employing a document analysis as the only method is related to its tendency to incur biased data selection and limitations on retrievability (Yin, 1994). However, these constraints were mitigated through applying a rigorous data collection strategy, wherein official documents and articles related to all YOG educational programs were collected in their entirety. Moreover, employing a document analysis is a suitable method to this research context, as it offers a sound way of tracking changes and developments of the phenomenon under scrutiny, which aligns with researchers’ intention to observe how the YOG educational programs have evolved over time.

Procedure

We used various databases to start with (e.g., PubMed, Google search, Google Scholar, EBSCOhost) searching for Youth Olympic Game AND education /educational/ program / programme and focused it inn on the Olympic World Library. To secure a comprehensive pool of documents to review and analyse, researchers identified official documents in the first round of the YOGs’ educational programs published by the previous YOGOCs and the IOC. The screening process excluded non-English documents, all per review articles (as non has used ELT in any YOG studies), Paralympic Games and duplicates.  Such an approach allowed the researchers to include a diverse focused range of documents (e.g., YOGOCs’ official report, IOC documents on candidature procedure, event manuals, press release on educational programs, post-event reports, program description, YOGOCs’ pre-event promotion materials).

Through data extraction and analysis, we followed a thorough review of documents, data were organized into distinct formats from each YOG according to the activities held, and by reflecting on the research question. The use of thematic analysis enabled identification of emerging themes within each YOG context. This process entailed two authors individually coding the refined data and subsequently engaging in discussions to actively share their interpretations until a consensus was reached, which, in turn, ensured intercoder reliability (Creswell, 2012). Each author carefully examined the data and conducted coding and category construction (six YOG in total) to uncover formats used. They represented various contents from each of the six YOGs’ educational activities, which were then scrutinized through the four elements of ELT.

Results and Discussion

The YOG educational programs have constantly evolved since their inception in Singapore 2010, as they have become more complex and ambitious regarding what they hope to accomplish. Based on the analysis, a shift away from philosophical cantered objectives to more practical elite athlete focused, and individual personal development objectives has occurred over the course of 10 years. Within the following sections, the results of the document analysis and the specific educational formats offered by the YOG are introduced and then compared based on their fulfilment of ELT criteria.

YOG Singapore 2010 Educational program

Singapore held the inaugural YOG in 2010 focusing on the Olympic movement, athletes’ development, and their roles and responsibility in sports practice and society (IOC, 2011, p. 5). During the 13 days, 3,524 athletes from 205 nations were exposed to the five key themes implemented through 50 different activities in seven educational formats described hereafter (IOC, 2012, p. 7; SYOGOC, 2010). The activity, ‘Chat with Champions’ consisted of athlete role models sharing their experiences and mentoring athletes during competition and at other activities. The forums offered different topics for athletes to share the athlete role models’ experiences of excellence, friendship and respect, in addition to answering the young athletes’ questions in a talk show format. ‘Discovery Activities’ were interactive exhibitions and workshop activities that were held for athlete to learn about important topics to use in personal development. ‘World Culture Village’ was a booth area hosted by local Singaporeans where athletes were able to interreact with cultures of the countries represented in the YOG, and included dancing, singing, body paining and traditional games. ‘Community Project’ was where athletes could participate in activities together with local organizations to learn the importance of social responsibility and to be inspired to take part in their own local community at home. ‘Arts and Culture’ was a group of activities aimed at celebrating Olympic themes such as youth, culture, and friendship through the mediums of dance, art, and music. ‘Island Adventure’ was utilized for athletes to learn the values of mutual respect, friendship, and teamwork in sport through confidence building courses with water activities and other challenging physical activities. Finally, ‘Exploration Journey’ was a “green day” experience with a terrarium workshop and garden tour, as the athletes learned about the ecosystem.

YOG Innsbruck 2012 Educational program

Innsbruck 2012 in Austria, the inaugural games for winter sports, aimed to deliver lasting benefits and develop enthusiasm for sport among young people, building on the Olympic Spirit and using the Olympic values of excellence, respect, and friendship for the 1,022 athletes representing 69 nations (IOC, 2016, p. 4). Athletes were introduced to the education program by young ambassadors and athlete role models. The Innsbruck program delivered 27 activities based around six formats, described hereafter (IOC, 2012, p. 9: IYOGOC, 2012). An innovation at Innsbruck 2012 was the introduction of the Yogger, a USB device with information about the program and activities. The Yogger was created to build awareness of the education program and thereby increase attendance (IYOGOC, 2012). An activity called ‘Media Lab’ was available for athletes to become educated on how to create media content (including four workshops), how to express themselves, and how to safely use social media. ‘World Mile Project’ educated athletes on tradition in art, sport, music, culture, lifestyles, clothing, language, and famous personalities. Interactive workshops and exhibitions by the IOC’s partners on global topics were utilized. ‘Sustainability Project’ taught athletes about environmental issues and sustainable developments, such as being waste wise, saving water and electricity, mountain awareness, and minimizing nature risks. ‘Art Project’ allowed athletes to share experiences and express themselves through modern art, music and dance. A ‘Competence Project’ was used to facilitate interaction between athlete role models allowing them to educate the athletes on aspects that professional athletes need to balance and be aware of. Finally, a ‘Youth Olympic Festival’ educated athlete through teambuilding activities in hopes for new friendships and networking.

YOG Nanjing 2014 Educational program

The slogan for Nanjing 2014 in China was “Share the Games, Share our Dreams” for all the 3,759 athletes from 202 countries (NYOGOC, 2014). The vision of Nanjing YOG was “to praise young people, advocate for a balanced development of blending education and sport, and to raise awareness about Olympic spirit and the Olympic values of excellence, friendship and respect,” (IOC, 2016, p. 2) which all linked back to the core of the YOG. The 50 educational activities in five different formats are described below, “embodying the Olympic values” (NYOGOC, 2014, 2015, p. 17). The program was introduced to the athletes in a “Let’s Get Together” gathering to inspire them to be active and magnify their learning opportunities (NYOGOC, 2014). At Nanjing 2014, the Yogger innovation from Innsbruck 2012 was upgraded to online access. Nanjing 2014 also introduced the Learn and Share environment to describe the areas where the educational activities took place (NYOGOC, 2015). The ‘Youth Festival’ activity was used to educate athlete through experiencing different traditions and cultures with sport activities from the Chinese culture in dance, music, opera, and martial arts. ‘Boost Your Skills’ combined forums, discussion, mentoring and sharing to allow athletes to learn more about social issues through being exposed to global issues, workshops on fair play and peace promotion among others. This activity emphasized the importance of a supportive network to help athletes maintain a dual career, with a stronger understanding of time management to help them throughout their daily life as young athletes. ‘World Culture Village’ again hosted booths about cultural diversity around the world. ‘Discover Nanjing’ allowed athletes to visit interesting historical and cultural attractions, as athletes visited the famous Ancient City Wall. More trips were used to educate athletes on not just the Chinese culture but the importance of taking care of the environment as well. Finally, ‘Digital and Social Media’ was an activity for media training by experts, and the introduction of new technologies.

YOG Lillehammer 2016 Educational program

Lillehammer in Norway hosted the second YOG for winter sports in February 2016, with 1,060 athletes from 71 countries and the slogan of “Go beyond and create tomorrow”. The Lillehammer YOGOC wanted the educational activities to be the foundation of the YOG to offer the sports community the option “to share experiences for the local young people, athletes and other participants, equip them with the key skills to become sports champions on the field of play, and life champions off the field of play” (IOC, 2016, p. 6). The 33 interactive activities once again centred on the five key themes and were delivered by five formats summarised below (LYOGOC, 2016). The ‘Your Career’ activity allowed athletes to see what they would need to know after their sporting career had come to an end by teaching them about time management and networking. ‘Your Body and Mind’ educated athlete on injury prevent, clean sport without doping, safe sport, in addition to the emphasis on understanding the importance of motor skills, mental training, and good nutrition. ‘Your Stories’ gave insights into athletes on how to tell their own story (via media training). Finally, ‘Your Discovery’ educated athletes on Norwegian winter sport culture through the Olympic history.

YOG Buenos Aires 2018 Educational program

Buenos Aires hosted in 2018 with the motto feel the future. Doing so by implementing the vison to bring sport closer to the people in sport, cultural and educational celebration by celebrating younger and more urban games (BAYOGOC, 2018). It was also an event with a focus on gender equality with participation of 3997 YOG athletes with equal gender split from 206 nations. During these Games the educational program and formats had been developed further by representatives from the IOC and Olympic stakeholders by having less locations and comprised of activities that are focused on the athletes’ sports career and individual development” (IOC, 2018a, p. 97). The Athlete365 digital platform was also being actively seen for the first time at the games with hands on activities incorporated in Learn and Share education program area, Athlete365 Space,  a program geared towards conveying the importance of clean (non-doping) athletes, good sportsmanship, and fair play in sport. ‘Performance Accelerator’ educated athlete on how to be responsible by learning more about injury prevention and strength training techniques. ‘Gamechangers Hub’ was a media training activity on how to maximize digital and social media in professional and personal lives. This activity allowed athletes to understand the best way to express their point of view and how to create awareness about themselves. ‘IF Focus Day’ was an activity with selected objectives linked to the young athlete’s development of new abilities and skills for personal and career development using the Olympic values of excellence, friendship and respect. ‘Chat with Champions’ was again introduced by having young athletes interreact with Olympians on personal, sport, and professional endeavours.

YOG Lausanne 2020 Educational program

The city of Lausanne held the 2020 YOG with the slogan “Start Now.” This was now the third winter YOG in the history, with 1788 athletes from 79 nations competing in the city of the IOC headquarters in Switzerland. For the first time we see that the education program is called “Athlete365 Education Programme” with activities that link to the IOCs Athlete365 universal digital platform developed by athletes for athletes in cooperation with the IOC (IOC, 2020a, p. 181). It incorporated Olympians, five educational formats, and around 20 educational activities (LAYOGOC, 2020; IOC, 2020b, pp. 3-6).

The activity named ‘Awareness’ educated athletes on how to be responsible young ambassadors of their sport by playing without doping, fighting against corruption, and learning to prevent abuse. Additional components of this activity allowed athletes to be taught how to balance sport and education, time management, and networking. The ‘Health for Performance’ activity educated young athletes to be aware of how to develop their performance, learn about injury prevention, and who to talk to in tough situations. ‘Game Changer HUB’ educated athletes on how to produce and show their own video content and prepared them to participate in a live TV show on the Olympic Channel. ‘Chat with Champions’ and ‘IF Focus Day’ were again introduced, highlighting the perceived benefit and success of running these types of educational program activities.

Using the Educational Learning Theory (ELT) as its foundational framework, this research rigorously investigates the extent to which the International Olympic Committee (IOC) is effectively accomplishing its objectives, delineated through the five fundamental themes that underpin the educational programs during their implementation. With new and former Olympians, it is important to continue to inspire development and monitor the YOG athletes’ educational needs as it is a valuable place for learning and sharing knowledge. The next section discusses the key application of the theoretical ELT (Kolb, 1984, 2015, 2022) concept to the YOG educational program.

YOG Educational Programs Comparison and Evolvement

The investigation revealed an imbalance in experiential educational activities within the YOG and that were offered to the 15,157 athletes, as this part of the ELT process was absent from most of the Games. It was also discovered that experiential educational YOG activities were not fully balanced as a majority of the formats and activities were the activities that utilized concrete experiences. Reflection observations became more prevalent with each iteration of the YOG, as was the same for abstract conceptualizations. The only active experimentation came from the ‘Game Changer HUB’ (former media and social activities), which obviously saw enough success and was easy enough to facilitate that it was worth incorporating in two separate Games. Although the athlete can enter Kolb’s learning cycle at any time, this activity shows opportunities to align new knowledge out in real life (Kolb, 2015). While the concrete experiences are clearly covered, as the other components of ELT are examined, demonstrated by the presence of certain dimensions are missed, indicating a gap between what has been seen as successful and beneficial constructions of ELT and what is currently utilized. The mapping of 6 YOGs educational programs formats across corresponding ELT components is presented in Table 1.

Table 1

Mapping of learning formats for YOG EP 2010-2020 through the lens of ELT.

YOG	Format	Corresponding ELT Components
		CE	RO	AC	AE
Singapore 2010	Chat with Champions	*	*
	Discovery Activities	*	*	*
	World Culture Village	*
	Community Project	*	*	*
	Arts and Culture	*
	Island Adventure	*
	Exploration Island	*	*
Innsbruck 2012	Media Lab	*	*	*	*
	World Mile Project	*
	Sustainability Project	*	*	*
	Arts Project	*	*
	Competence Project	*
	Youth Olympic Festival	*
Nanjing 2014	Youth Festival	*
	Boost Your Skills	*	*	*
	World Culture Village	*
	Discover Nanjing	*	*
	Digital and Social Media	*	*	*	*
Lillehammer 2016	Your Actions	*	*	*
	Your Career	*	*	*
	Your Body and Mind	*	*
	Your Stories	*	*	*	*
	Your Discovery	*
Buenos Aires 2018	Athlete365	*	*	*
	Performance Accelerator	*	*	*
	Gamechanger Hub	*	*	*	*
	IF Focus Days	*
	Chat with Champions	*	*
Lausanne 2020	Awareness	*	*	*
	Health for Performance	*	*	*
	Gamechanger Hub	*	*	*	*
	Chat with Champions	*	*
	IF Focus Day	*

Note: CE = Concrete Experience, RO = Reflective Observation, AC = Abstract Conceptualization, AE = Active Experimentation.

Active conceptualisation sessions (like sessions or activities capable of stimulating analytical reflection or challenging the current stereotypes and mind views) unfortunately are fragmented and cannot be described as equally represent in the curricula. With respect to the active experimentation stage, initiatives like Athlete365 activities in later games created actual opportunities for athletes to continue the developmental journey on the Athlete365 digital platform after the YOG. Meaning, the IOC have an opportunity to continue to influence the experiential learning to increase athlete’s knowledge (Kolb & Kolb 2009a). The only suitable example which we identified was the Gamechangers Hub format during 2018 and 2020, where the opportunity for reflection, awareness of unique selves, and experimenting with new conceptualizations was minimal. Still, though, active experimentation was undervalued and not utilized properly. We could conclude from the mapping in Table 1 above that predominant attention is given to unique memorable and diverse experiences, and to some extent physical tests for health and injury training prevention, with a slowly increasing number of reflection and conceptualisation opportunities.

Theoretical and Practical Applications

ELT has been employed in many academic disciplines, such as studying abroad (Iskhakova et al., 2020), music education (Russell-Bowie, 2013), physical education (Bethell & Morgan, 2012), sport psychology (Sato & Laughlin, 2018), engineering (Chan, 2012) and hospitality (Fallon & Daruwalla, 2004), including outdoor education (Roark & Norling, 2010) and global leader development (Fey, 2020).

Furthermore, previous results have demonstrated that when university courses utilize the ELT framework, students develop a deeper knowledge of the subject matter (Bethell & Morgan, 2012), increase their sense of competence in target skills (Roark & Norling, 2010; Iskhakova et al., 2020), gain a better understanding of the link between theory and practice, and achieve greater personal development (Sato & Laughlin, 2018; Chan, 2012; Fallon & Daruwalla, 2004; Russell Bowie, 2013; Fey, 2020). Despite the high potential that ELT has, as previously discussed, it has scarcely been utilized in in the context of Olympic athletes (Cisek, 2023).

The current investigation examined ELT and discovered a lacking adherence to each of the dimensions in this theory by the YOG educational programs, as is critical for learning to occur (Kolb, 2015). This novel finding aids literature pertaining to ELT as the document analysis clearly indicates the dimensions of the theory that are more heavily, or easily, incorporated in YOG educational programs. The goal of this investigation was to examine the application of ELT in a practical setting, in the YOG context, thereby allowing future researchers to evaluate which facets of the theory (Kolb, 1984, 2015) are underutilised and can be enhanced in the YOGs context. Utilizing a document analysis, Table 1 was constructed to illustrate and map the learning formats of past YOG educational programs through the lens of ELT. Examining each of the four stages of ELT (Kolb, 1984, 2015) in the context of the YOG educational programs indicates an underutilization of certain key stages across all YOGs programs. With the benefits that are derived from a full utilisation of ELT, it is posited that further incorporation of activities within certain stages would make the YOG educational programs more impactful in both the short and long term. In ELT studies development and change is essential, as the programs should be flexible and creative as they explore ways of facilitating athletes’ learning effectiveness (Kolb, 2001; Kolb, 2015; Sato & Laughlin, 2018). Demonstrably, at the inception of the YOG in 2010 very few reflection opportunities existed in the educational program, juxtaposed to the current prevalence of this activity.

As Sato and Laughlin (2018) state, a successful integration of ELT allows athletes to take control and responsibility of their learning, instead of passively receiving experience and knowledge. Kolb (2015, p. 299) call this to take active ownership and responsibility of their learning cycle. Therefore, more ‘reflective opportunities’ at each timepoint should be created. With a greater emphasis on experiential activities, accommodations such as time for in-depth reflections should be implemented. More ‘abstract conceptualizations’ and ‘active experimentations’ should be incorporated and facilitated. An increase in these stages means athletes will be given more opportunities to assimilate their lived experiences and reflections into abstract concepts, thereby challenging and evaluating their own world views and values and advancing own development for a long-term horizon (Kolb & Kolb, 2009a; Kolb, 2015).

If the IOC (2019) wants the YOG to be a steppingstone for these athletes before the Olympic Games and a developmental platform that focuses on the holistic athletic development, the IOC should implement Kolb’s theory to a greater extent.

Limitations and Future Studies

As majority of studies, our study is not free of limitations. The first limitation relates to the methodology. While novel findings pertaining to the usage of certain stages of ELT were discovered, the benefit of these activities were not measured. As the analysed documents were produced by the YOGOC and the IOC, understanding from the educators, administrators, and athletes viewpoint are not observed. While the methodology was purposefully selected to accomplish the desired analysis (Bowen, 2009), this limitation is present. Furthermore, there may have also been selected educational learning activities that were adjusted when they were presented. We suggest future scholars to examine the unique impact of the YOG educational programs through various other lens, such as other learning theories, social theories (Parent et al., 2019), personal development theories, and cultural theories.

Disclosure statement

The authors report there are no competing interests to declare. 

Appendix 1

A description of the 14 core documents that were included in the data analysis.

Title	Author (year)	Document type	Description
Singapore 2010 YOG. Blazing the Trail.	SYOGOC (2010)	Report	This official document describes the beginning of the YOG -2010 games. Presentation of the games with sport, education and culture, to go beyond the games.
IOC. Factsheet: YOG.	IOC (2012)	Document	Discusses birth of the YOG, its vision, programs, and five educational key themes.
Innsbruck 2012 YOG. Be part of it.	IYOGOC (2012)	Report	Report on the implementation, management and delivery of the first Winter YOG
Chef de Mission Manual. Nanjing 2014 Summer YOG.	NYOGOC (2014)	Manual	Describes policies and procedures for the YOG-2014, with information on learning program and five educational key themes.
YOG Event Manual. 7th Edition. May 2015.	IOC (2015)	Manual	Contains the main requirements for planning, organisation and staging of the YOG, including its learning program.
Share the games share our dreams. Official Report of the 2nd Summer YOG Nanjing 2014.	NYOGOC (2015)	Report	This is the official report from Nanjing YOG 2014 presents the events timeline with sport, culture, and education.
The YOG learn and share beyond the field of play. Factsheet YOG	IOC (2016)	Document	This updated factsheet version brings up the vision and mission with culture and education in the YOG. With the learn and share activities concept it states the five key educational themes through formats with educational activities from the four first YOG in the history (2010-2012-2014 and 2016).
Lillehammer 2016 YOG. Be part of it! Go Beyond. Create tomorrow.	LYOGOC (2016)	Report	This is the official report of the Lillehammer 2016 Winter YOG. This report tells a chronological story step by step with texts and images through the games to includes sport, culture and education.
Buenos Aires 2018 Third summer YOG.	BAYOGOC (2018)	Report	This document is the official report of the Buenos Aires 2018 with imagery and texts that takes the reader through its history from the torch relay, to celebrate of sport and urban games with activities.
IOC. Chef de Mission Manual Buenos Aires 2018 YOG.	IOC (2018a)	Manual	Contains the main requirements for planning, organisation and staging of the Buenos Aires YOG for the NOC. It includes the learning program among other detailed information on game time aspects.
IF focus day booklet Buenos Aires 2018 YOG.	IOC (2018b)	Booklet	Contains the educational activities International Federation, in coordination with Buenos Aires 2018 YOG Organising Committee have develop for athletes to strengthen personal and career development.
IOC. Factsheet: The YOG compete, learn and share beyond the field of play.	IOC (2019)	Document	Provides a description of the YOG as a steppingstone in the young athletes learning pathway, in sport and beyond their sport. It explains how the IOC contributes with learning activities, and how the YOGOC has some flexibility within a now more athletes centred formats then previous YOGs. The document states some facts on all six YOG`s educational programs. (2010-2012-2014-2016-2018 and 2020).
IOC. Lausanne 2020 Chef de Mission Manual	IOC (2020a)	Manual	Contains main requirements for planning, organisation and staging of the Lausanne YOG for the NOC. learning program among other important aspects of the games to prepare the athletes for.
Athlete365 Education Programme. Lausanne 2020 YOG	IOC (2020b)	Document	Presents the Athlete365 educational programme to the athletes and their entourage during the Lausanne 2020 YOG.

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Qshequilla Parham Mitchell2024-08-23T10:19:26-05:00

Perceptions of Former Collegiate Athletes on Career Transition Programs in the NCAA

Qshequilla Parham Mitchell2024-08-23T10:19:26-05:00August 16th, 2024|Research, Sport Education, Sports Studies and Sports Psychology|

Authors: Cameren Pryor¹ and Lindsay Ross-Stewart²

Keywords: career transition, qualitative research, sport psychology

College student athletes dedicate approximately 70 hours per week to athletic and academic demands (3). With less than two percent of National Collegiate Athletics Association (NCAA) student athletes competing on the professional level (4), most student athletes will transition out of athletics when they graduate from university. This transition time led to increased feelings of grief, sadness, loss of motivation, and depressive symptoms for some athletes (1). To prevent these negative experiences, career transition researchers have encouraged athletic departments to implement psychoeducational programming that better prepares student athletes for the psychological, behavioral, and social outcomes of sport retirement (5). However, it has been found that there is a lack of consensus on when and what is being advised to student athletes about the transition process (2). Additionally, little research has investigated the overall effectiveness of NCAA collegiate career transitioning programs through the perceptions of student athletes.

A recent literature review of career transition research (6) found there were very few studies conducted in the United States concerning athletic transition, with the limited findings highlighting retirement planning, identity loss, coping skills and support systems as the core areas that have been investigated. They reiterated the importance of psychoeducational interventions; however, they acknowledged that more research is needed to better understand the transition process and how to effectively implement career transition programing.

Past research has also highlighted the findings that career transitions appear through social, developmental, and psychological factors (5) and the importance of starting career transition education at the earliest stages of sports participation. The importance of social support has been supported by the work of Adams et al. (7) who found participants experienced a more positive transition if they felt cared for by the people that they believed understood them and what they were going through. Thus, a sense of closeness and trust between the recipient and the person providing support appeared to be crucial for support during career transitions. Of importance was the finding that athletes perceived coaches to provide more social support than parents and teammates indicating coaches should be a central part of career transition programming. Cummins and O’Boyle (8) found that athletes perceived their universities as unable to support them during the transition process with support, career advice and information on the professional role and guidance from past student athletes. Thus, the lack of career control was shown by all participants. Cummins and O’Boyle (8) recommended implementing mentoring into university programs from former student athletes to current student athletes on the transition process and potential career opportunities.

Along with social support, one’s athletic identity has been highlighted as impacting an athlete’s experience with career transition. Specifically, the more an athlete identifies with their athletic role, the less likely they are to have a well-defined career plan (9) and therefore struggle during career transition. Furthering this finding, researchers found that athletic identity was positively correlated to retirement outcomes and negatively correlated with decreased self-esteem, feelings of uncontrollability and ‘vagueness’ about the future (10). It has also been shown that athletes who retired due to injury have greater adjustment difficulties (10). Furthermore, researchers found that the strength and exclusivity of the athletic role during sport participation increased an athlete’s potential vulnerability to psychiatric distress after leaving sport (11), and higher levels of emotional adjustment difficulties (12). In contrast to these negative connections to athletic identity, Cabrita et. al, (13) found that athletes with higher athletic identity have higher levels of career decision making self- efficacy. They suggested this may be due to the efficacy they gain from sport transferring to their career decision making efficacy. Further research is needed to better understand these potentially conflicting findings on the relationship between athletic identity and career transition.

Menke and Germany (14), identified consistent themes athletes identified when discussing their feelings and thoughts related to coping with transition out of sport including the positive of gains or strength of transferable skills as well as the negative experiences of a loss of identity, feelings of loss, sadness, anxiety, loss of motivation and depressive symptoms. It has been shown that global self-esteem and physical self-perceptions decreased during the transition out of elite sport (15). Additionally, it was found that retired athletes that experience difficulties with their bodies have decreased feelings of pride, satisfaction, happiness, and confidence regarding their physical selves. These experiences can contribute to stressful reactions to retiring out of sport. Of extra importance is the finding that sport individuals that experience bodily changes accompanied with high athletic identity can experience increased psychiatric distress and self-esteem issues when transitioning (15).

Taken together, the above information highlights the need for career transition programming and combining a plan for post-sport retirement with talking about the emotions experienced during the transition process. Past researchers have suggested that sport psychology practitioners and mental health professionals work with athletic teams to encourage the development of the student athlete by consistently speaking to them about career related topics and encouraging student athletes to explore and engage in expanding their interests outside of sport as well as supporting the use of health care resources for former high-level athletes (16).

During sport retirement, many athletes cognitively make the decision to grieve the loss of their sport by participating in healthy and unhealthy coping behaviors for extra support. Acceptance, account making, positive reinterpretation, planning, active coping, mental disengagement and seeking social support for emotional reasons are all strategies that have been reported (12). Account-making (the construction of a story about a traumatic event (i.e., it’s nature, what happened, how one feel’s about it, and what it means for the future; citation) and confiding (portions of one’s account, are revealed to others) has also been shown to be an effective tool as it helps athletes to understand their retirement experience, understand their emotions and to acknowledge an identity that is outside of sport.

Recent literature reviews have encouraged viewing transition from a lifespan perspective involving pre-career, post-career, and other domains of an athlete’s life (17), and preparing for retirement before it happens, creating a strong alliance with trust (client and counselor), exploring the emotions accompanied with the transition, interventions, and knowledge of transferable skills, addressing athlete’s overall competency of transferable skills, developing a support network, and evaluating the effectiveness of the athletes transitions out of sport and the effectiveness of counseling interventions. Based on the literature review, the researchers recommended that counselors may be effective in assisting athletes to plan for life after sport by helping them understand and realize that the skills they have acquired through sport can help them be successful in other areas of life (18).  

Furthering our understanding of best practice, researchers have recommended empathy and attentive listening need to be utilized to help athletes make sense of their experiences and it has been recommended that programming should look at the development of interventions from different psychological perspectives for athletes in transition (5). Overall, researchers suggest the need to examine the effectiveness of these models and devote attention to interventions from different psychological perspectives. Lastly, they highlight the finding that helping athletes become aware of the transferrable skills can help facilitate successful career planning. 

Researchers have continuously suggested the need for psychoeducational interventions that address the psychological, behavioral, social effects and the loss of athletic identity has on a sport individual when transitioning from sport and the need to start this programming early in an athlete’s college career (e.g., 5). Being that there is a lack of consensus on when and how to speak to athletes about career transition, and a lack of connection between research suggested guidelines and applied programming at the college level, further understanding of this area is needed. Thus, the primary purpose of this study was to investigate former NCAA athlete’s perceptions of current career transition programs in NCAA Athletic Departments. A secondary purpose was to investigate former collegiate athlete’s perceptions of their experience transitioning from sport and how these experiences affected their current lives.

Materials and Methods
Methods
Setting, Recruiting, Sampling, and Consent

            All participants were recruited via social media. Posts were made on both researchers’ Instagram, Facebook, and Twitter pages, as well as shared on their program social media sites. People were encouraged to share the posts with people they may have known who would be interested. Potential participants were instructed on how to reach the primary researcher if they were interested in participation. The primary researcher then spoke with each potential participant to make sure they were a former NCAA athlete who finished their career within the last five years but did not suffer a career ending injury or quit their college career (which were the exclusion criteria). Those that qualified were interviewed over zoom for this study. Zoom was chosen as it allowed for participants from across the United States and increased the accessibility of the study to participants. Prior to the interview the participants were sent the informed consent form and gave consent to participate. They then gave verbal consent on zoom while the session was being recorded. Participants were also given the opportunity to ask any clarification questions about the study they may have had after reading the informed consent.

 Participants

The participants of this study were six retired collegiate student athletes who previously competed in NCAA athletic programs and completed their athletic careers in the five years. The participants were two males and four females. Participants were represented from various sports consisting of basketball, track & field, softball, baseball, and golf. The athletes were from Division I (n=four), Division II (n=one), and Division III (n=one).

Data Collection Tools

Career Transition Interview

As there is a lack of set tools for assessing the psychological impact of career transition for college athletes, and to hear the voices of those who have experiences career transition, – semi structured, questions (some open and some closed based on need) were developed for this study. The goal was to allow the participants to reflect on their personal experiences with career transition programming at the universities they competed in and their overall transition experience. The important themes recognized in previous athletic career transition literature were used to develop questions for the interviews focused on their career transition program experience and their experiences post-tradition career. A specific focus was made to keep the questions neutral in language so as not to lead the participants in any direction. During the interviews, based on the participant’s comments, follow up questions were asked, and discussion was encouraged with the athlete to gain their views outside of the predetermined questions, as needed the closed questions were aimed at understanding the organization of any career transition programing they may have had during their athletic career (e.g., “Did your university have an athletic career transition program or workshop? And “How often did this program occur at your university?”) as well as understanding their demographics (e.g., “What is your age” “What sport did you play”).  year were you when you participated in this program?). To better understand their experiences and truly give the participants a chance to process their experiences in their own words, open-ended questions were used. Example questions included “What was your athletic career transition experience like?,” “How did transitioning from sport make you feel?” and “During your transition experience, what did you do/not do to cope?

Procedures

Data Analyses

 A six phase Reflexive thematic approach was used with the essentialist/realist method for qualitative data (19-22). This method is used to identify, analyze, and report patterns (themes) within a given data set. Additionally, it is used to describe and interpret the meaning and importance of the patterns (themes) found. The Essentialist/Realist method is used to report experiences, meanings, and the reality of participants (19), which was used to analyze the perceptions and personalized experiences from former collegiate athletes. Of importance for this approach is to acknowledge that we all perceive the environment and impact it through those perceptions. Therefore, giving as much room for the exact voice of the participants is needed to minimize the participants experiences being reported through the researcher’s lens alone. Therefore, this paper gives significant space to each participant’s voice, which is possible due to the sample size of six people. Utilizing the ‘top-down approach’ also known as deductive approach (23), this study analyzed semantic themes that are suggested within previous career transition literature to implement into athletic career transition programming for student athletes However, ideas that emerged that did not fit within current literature were also noted and coded to add to the already existing literature. In qualitative research, the researchers and coders must assess their biases and perceptions as it relates to the research topic. In this study, the data was coded by two coders, the primary researcher, a former collegiate athlete whose career ended two years before data analysis recognized that her own experiences were a potential bias to the study. Therefore, several methods of checking trustworthiness were used (See Trustworthiness section below). The second coder was not involved in the study at all and was not a former collegiate athlete, nor were they familiar with the literature in the area.

Following the guidelines of Braun and Clarke (19-23) both coders followed a six-step process. Prior to coding all interviews were electronically transcribed using zoom transcription services, and all transcriptions were checked for accuracy against the recorded interviews. To start the coding process both coders familiarized themselves with the data by reading all the transcripts. The coders then independently recorded points of interest in the transcripts as they began to generate the initial codes, making sure to code each piece of data available. Data could be an individual word (e.g., the answer “yes” to a closed question) or as long as a few sentences (e.g., “Even though I did not struggle a lot, I think it still would have been nice to have a transition program in those later years of college just to learn how to be an adult on your own without sports ruling your life”). Focusing on the context of a comment opposed to the length when deciding on a code was done in line with the recommendations of past researchers (e.g., 20). Next, coders began to develop themes with past research in career transition in mind. Again, this deductive approach did not mean discarding data that did not fit in a prior identified theme, but instead recognized past information while new themes that emerged were also identified and titled with this new information being an addition to our current understanding of the career transition experience in the field. The coders then compared their codes and themes and when in disagreement engaged in thoughtful discourse explaining their rationale for their coding choice, while being cognizant of their potential biases. This process led to agreement between the coders in the few places where there was initial disagreement. Finally, the overall themes and codes are explained in detail in this manuscript as is noted as an important step in thematic analysis.

Trustworthiness

Trustworthiness was assessed in multiple ways to increase the credibility, transferability, dependability, and confirmability of the study (19-22;24, 25). In addition to an acknowledgement of the researcher’s viewpoint and the reality that all researcher’s perspective’s impact their analysis, both coders of the data assessed their own views and were systematic in assessing the impact of these views throughout the research. Furthermore, as the lead researcher of this study was a former NCAA athlete, and as such recognized that this may have led to potential biases peer debriefing was used to increase credibility. Furthermore, a third coder, who was familiar with the research in the field but did not conduct the interviews or participate in the original data analysis was brought in to engaged in negative case analysis to assess any divergent data and discuss these findings to make sure they were appropriately accounted for in the data coding. Internal auditing was also done by two researchers who were not a part of this study, nor familiar with the research on career transition in sport, to highlight and address any potentially biased interpretations of the data. The detailed documentation of the procedures used for this study at each stage following the guidelines of the APA Journal Article Reporting Standards for Qualitative Research (2018), along with using thick description in this manuscript was done to increase dependability and transferability.
Results
The major themes that emerged throughout the data were lack of athletic career transition programming, high athletic identity, lack of psychological support, social support, coping mechanisms and the Covid-19 pandemic. Note that participants’ names have been changed to maintain confidentiality. Pseudonyms given are representative of names that match the self- reported gender and race of each participant.

Lack of Athletic Career Transition Programming

It was found that four out of six participants experienced a positive overall career transition from athletics and described their experience as ‘easy’ and ‘smooth sailing.’ However, two of the participants in this study experienced a negative overall career transition from athletics. When it came to access to career transition programming, only two of the participants had access to transition programs from their universities. Example comments related to this are included Leah commenting, ‘I don’t even know where to begin, I felt so unprepared to go out into the world.’ and Andrea stating, ‘My transition experience was a little rocky and it had an effect on how I was mentally.’ Mary said, ‘Even though I did not struggle a lot, I think it still would have been nice to have a transition program in those later years of college just to learn how to be an adult on your own without sports ruling your life.’ Two participants recalled their athletic departments referring them to their on-campus career center for career assistance. For example, Kelly noted, ‘The programs that were available to me via the career center were focused on interviewing skills, portfolio/resume building and career fairs; none of these events catered to my athletic experience.’ Andrea who did have access to career transition programming, indicated that their school had the NCAA Life Skills Program (NCAA, 1994). She stated, ‘I definitely found this program to be helpful and I felt as though I needed those skills to be able to transition from college into the outside world.’ Although Andrea spoke highly of the Life skill program at her previous university, she still reported a negative transition due to the COVID-19 pandemic. Chance recalled his previous athletic department hosting optional career transition programming that he did not attend due to the programs conflicting with his schedule. ‘I felt like it would have been helpful, I just did not feel like I had the time to do it with athletics and my class schedule.’ When looking at the differences between programming across the three different division levels present in this study, both Andrea and Chance were in Division I programs. Chelsea, who participated within Division III stated, ‘We weren’t provided with a lot of resources being the lower level and I think it had to do with finances as well as compliance.’

When asked what participants would value within athletic career transition programming, participants noted the importance of programming on financial topics (budgeting, taxes, financing vehicles and homes), programs for juniors and seniors on resources for transition. For example, Chelsea stated, I think a big topic that needs to be talked about in depth is financials because as an athlete, you spend a lot of your time on the road, and you don’t necessarily go out all of the time to spend money because you are giving per- diem and gear etc. When you are not an athlete, you are not provided with those things anymore.

As well as making programming more accessible,

 I think it would be helpful to make the programs more available for everybody else. I wasn’t able to attend some of the programs because I had night classes during the times, they had the events. ‘I also think having programs that teach athletes about finances could be helpful; specifically on financing things, insurance and buying a home. (Chance)

Implementing mentorship programming was noted by the athletes with this quote by Kelly being a good representation of the athletes’ comments ‘I think having talks that help athletes learn how to speak about their skills and how to speak about that when interviewing for jobs.’ ‘I also think it would be great to bring back sport alumni and have them speak to current athletes about their careers.’ Additionally, it was also recommended that athletic departments speak to athletes about degrees and course choices that suit that athletes’ interests. Leah noted ‘I wish my academic advisor helped me more with what I could do with my degree after I graduated.’ ‘I feel like the focus was for me to get classes that worked around my practice schedule mostly.’

High athletic identity

             With years devoted to excelling within sport, many athletes find themselves identifying as an athletic individual even when their sport career ends (9). This finding was supported by the reflections from the participants in this study. Five out of six participants indicated they still identify as an athlete and considered themselves athletic. Chelsea noted, ‘I still try to live an athletic style similar to how I was when I was a competitive athlete’, while Chance noted ‘I still identify as a former athlete who still does athletic things.’ – and Leah said, ‘I still resemble as an athlete just because I’m still in shape and I’m still basically active.’ Of note, half of the participants in this study transitioned out of sport and into a career within or surrounding athletics. These participants openly discussed how this allowed them to stay identified within sport culture. For example, Kelly said ‘I now identify as a coach, which gives me sport identity; making it easier to take away the athlete part of me, but that identity is still very much part of who I am.’ Chelsea commented ‘I work within an athletic department and am still around sport every day. I enjoy that part of my job’ and Mary said,

After college I became a graduate assistant for an athletic department and it’s nice to still being in the sports world because I am still constantly around athletics.’ ‘The best thing about being a college athlete is you definitely have like a foot up; I feel like in a lot of the career world.

Two participants discussed the transferability of the skills they learned as athletes, and how these gave them an advantage throughout the job search process. For example, Chance said ‘Just from my experience playing in college athletics, it helped me in terms of interviews and getting in the position to get a job.’ When asked what skills from sport helped him get his current position, he discussed leadership, communication, teamwork/collaboration, and confidence. He commented, ‘Leadership and communication; these were big for coming out of college athletes. I think it helped. As well as just like you get the confidence for like playing in front of people, so that helped with confidence and interviews and everything like that.’ ‘Being able to do team work as well; a lot of jobs like that as you obviously have to work in teams and collaborate with other people within your company.’

Lack of Psychological support

Although the strength and exclusivity of the athletic role during sport participation may increase an athlete’s potential vulnerability to psychiatric distress after leaving sport (11), none of the participants reported experiencing athletic career transition programming that addressed the psychological effects that a transition can have on a sport individual. Although only one participant expressed experiencing mental health difficulties during her transition, five out of six participants spoke on the need for mental health to be addressed in athletic career transition programming. For example, Kelly noted,

“I think having a mental health professional to provide tools and be real with athletes, like hey it is not going to be a smooth sailing process once you finally hang up the cleats, here are some tools to help you cope with this process better.”

 Leah on the other hand focused on the importance of wellness checks, ‘I do believe that for athletes who will transition, psychologists should come in and do a wellness check or just be an ear for somebody would be an amazing thing because college athletics is a mental trip.’

Coping

Coping strategies are used to help student athletes better adjust to sport retirement. Participants in this study reported that they coped with their transition out of sport by finding ways to get their mind off this process. Chelsea said, ‘I definitely did try to find ways to get my mind off of the fact that I’m not going to practice.’ Mary noted, ‘You try and find outlets you know, to still be competitive and find other ways to use your talents but it takes a little bit of time to find those things’ while Andrea stated, ‘I exercised to relieve the stress I had and that helped a lot.’ Although some of the participants found positive ways to cope with their transition, one participant utilized negative ways to cope with their transition. Leah said, ‘I was being real nonchalant. I was trying to like mask it with everything will work out fine, but I was panicking.’ During this time, she mentioned that she participated in drinking alcohol and smoking. She said, ‘another way that I coped truthfully during that time in all honesty; was drinking and smoking. I was like a spiral, like I did not know what to do.’ None of the participants indicated experiencing programming that spoke on positive ways to cope with transitioning out of athletics. By implementing this in programming, negative coping mechanisms during transitions can be prevented.

Social Support

             During athletic transitions, the participants utilized social support and informal information given to them about the transition process before and during their journey. It was found that the participants recalled receiving support from coaches, athletic advisors, family, and friends. Although the participants in the study did not receive as much support within their athletic departments, it was noted that they all utilized their social networks as support systems during their transitions. Andrea said, ‘I definitely needed some social support and I talked to my coach. He would hit me and just ask me if I was doing okay and stuff like that.’ Kelly stated, ‘I connected with my coaches a lot about the transition process as a player and my plans to pursue coaching as a career’ and ‘My coaches had a good grasp on what transitioning was like especially when they have played sport for so long.’ Kelly also noted the importance of friends and family, ‘My friends and family were also a good support system.’ The role of professors was also noted, ‘The professors I interacted with were very helpful to prepare me for what comes next, and I had an older sibling that played college sports, so I definitely relied on help from him.’

Covid-19 Pandemic

             The final theme that emerged from the data and affected two out of six participants in the year 2020 was the Covid-19 pandemic. The pandemic for the year 2020 ended college sports prematurely causing more athletes to experience a traumatic end to their athletic season and for some, a traumatic end to their athletic careers. The participants in this study who experienced this expressed not being supported by their athletic departments which increased their feelings of not being prepared for what was next for them. For example, Leah stated, ‘We were told that we weren’t going to get our season and that was it; our season was stripped away.’ When asked if there were any resources or emotional support provided for her, she said she could not recall any. She did reflect on being offered an extra season, which would grant her a fifth year of eligibility. She said she declined this opportunity in hopes of being able to put more time towards starting her career. Andrea, whose transition experience was also affected by the pandemic described her athletic career as ending suddenly, which took a toll on her mental health. She stated, ‘I never had anybody to talk to about how to move forward or continue on with the degree I earned.’ ‘I just remember thinking, what am I going to do next?’ ‘We never had a good closing statement.’ When asked if there were any resources or emotional support available to her, she recalled her athletic advisor reaching out to her via email and text message but decided to not respond due to feeling overwhelmed.

Discussion

             This study examined athletic career transition programming within the NCAA through the perceptions of former student athletes. Additionally, the impact of an athletic career transition was further explored. The results from this study provide evidence that athletic departments may not be using best practices to better support student athletes in their transition out of collegiate athletics (2). From these findings, participants received little to no programming specific to how retiring from sport affects an individual psychologically, emotionally, behaviorally, and socially as well as how it affects their overall identity (5,7,8,9). The data further shows that athletic departments may not be listening to what the research says (5) should be implemented into programming; thus, demonstrating that athletic departments may not be prioritizing the overall well-being of student athletes. Past literature has continuously encouraged practitioners within athletic departments to include programming to provide student athletes the tools to adjust to sport retirement (4) and with the lack thereof, student athletes can potentially experience more negative reactions to retiring from collegiate sport (1,11,12).

 The findings of this study were consistent with previous research with there still being a lack of consensus of what is told to student athletes about the transition process (2) shown throughout the perceptions of the former student athletes in this study. The themes (i.e., athletic career transition programming, athletic identity, psychological impact, and coping) from past research re-emerged when the participants were asked to reflect on their overall transition experience. Two additional themes that emerged were social support and the Covid-19 pandemic. Social support was not surprising as past literature has suggested it to be a positive coping mechanism for athletes in transition (7). However, the Covid-19 pandemic was a unique theme that has not often been discussed regarding athletic retirement. This provides a unique perspective to the overall findings. The perceptions of participants personal athletic transition experiences from collegiate sport were also consistent with previous literature in that most participants still resonated with the athletic role (athletic identity) (e.g., 9, 11,12), experienced mixed feelings about transitioning support and would have appreciated psychological support (8,12); utilizing positive and negative coping mechanisms and used social support networks that were available to them (7,8). With the difficulties and challenges of the unprecedented pandemic, this may have further exacerbated the lack of proper resources for student athletes transitioning from collegiate sport. This further provides evidence that proper exit strategies must be implemented within athletic departments for collegiate student athletes (5).

Limitations & Future Research

There were limitations to this study that should be discussed. The findings were derived from a participant sample consisting primarily of women or individuals that competed within the Division I level. The lack of participants from other divisions did not allow for comparison across divisions. Furthermore, although interviewing only six participants led to the ability to give each participant a voice in this paper, it was a small sample making it impossible to make set inferences on this data alone. Instead, these results should be seen as an additional piece of information, along with past research findings, that can be used for best practice in career transition. With the structured interviews conducted primarily over zoom, this may have impacted the participants openness to disclose sensitive information due to the interview format. This was demonstrated by one participant disclosing confidential information related to their mental health after the interview process was completed, and the recording of the zoom appointment stopped. Future research should consider replicating this study with an in-person structured interview, with a more diverse and larger participant sample. Future studies should consider looking at the differences in athletic career transition programming implemented within all division levels of the NCAA qualitatively.

Conclusions Implications for Practice

The purpose of this present study was to investigate if current career transition programs in NCAA Athletic Departments are using best practices, as defined by the current research in the field, based on former collegiate athlete’s perceptions of their experience with career transition programming. A secondary and equally important purpose was to investigate the overall impact athletic career transition has on former collegiate athletes’ lives. The findings of this study provided evidence on the overall impact transitioning from collegiate sport has on an athletic individual and along with past research highlight the lack of athletic career transition programming implementation into athletic departments. These findings add to the evidence that suggests that professionals should be creating programs and psychoeducational interventions that include how the transition affects an athlete psychologically, socially, emotionally, behaviorally, and how it affects their overall athletic identity, per previous athletic career transition literature. Furthermore, professionals should implement psychological support for athletic career transitions from qualified staff, programming that gives student athletes tools on mental health resources, programming on positive coping mechanisms, programming to student athletes on financial topics (e.g., budgeting, financing, housing, taxes) and implementing mentorship programs that feature student athlete alumni. Additionally, these findings support the recommendation that practitioners should consider making programming accessible to all student athletes with various schedules by having programming for student athletes in person and virtually if possible. Lastly, practitioners within athletic departments should consider receiving feedback from former student athletes like this study, to ensure that the programming implemented is using best practices to better support student athletes. It is with hope that the findings of this study encourage practitioners within NCAA athletic departments to implement effective athletic career transition programming that will provide student athletes the tools to properly prepare for the transition out of collegiate athletics.

References

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George Minoso2024-07-18T10:12:55-05:00

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

George Minoso2024-07-18T10:12:55-05:00August 2nd, 2024|Research, Sport Training, Sports Coaching|

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

Corresponding Author:
Dr. Lindsay Ross-Stewart
Campus Box 1126
Southern Illinois University Edwardsville
Edwardsville, IL, 62026
lrossst@siue.edu
(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
#	%	#	%	#	%	#	%	#	%	#	%
4.1	34.17	5.9	49.17	6.6	55	9.1	75.83	7	58.33	7.2	60

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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George Minoso2024-07-18T10:40:06-05:00

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

George Minoso2024-07-18T10:40:06-05:00July 19th, 2024|Sports Coaching|

Authors: ¹Sean Phelps PhD.

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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44. Rushall, B.S. (2003). Coaching development and the Second Law of Thermodynamics (or the belief-based versus evidence-based coaching development). Coaching Science Bulletin, 9(2). Retrieved from Coaching Science Bulleting website: https://coachsci.sdsu.edu/csa/thermo/thermo.htm
45. Santos, S., Mesquita, I., Graça, & Rosado. A. (2010). Coaches’ perceptions of competence and acknowledgement of training needs related to professional competencies. Journal of Sports Science and Medicine, 9(1), 62-70.
46. Scales, P.C. (2016). The crucial coaching relationship. Phi Delta Kappan, 97(8), 19-23. doi.org/10.1177/0031721716647
47. Schmidt-Lellek, C., & Fietze, B. (2022). Professionalization in coaching. In S. Greif, H. Möller, W. Scholl, & F. Műller (Eds.), International Handbook of Evidence-Based Coaching: Theory, Research and Practice (pp. 745-754). (H. Schlüsselkonzepte, Trans). Berlin, Germany: Springer Berlin Heidelberg.
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50. Sullivan, P., Paquette, K.J., Holt, N.L., & Bloom, G.A. (2012). The relation of coaching context and coaching education to coaching efficacy and perceived behaviors in youth sport. The Sports Psychologist, 26(1), 122-134. doi:10.1123/tsp.26.1.122
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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?

Qshequilla Parham Mitchell2024-07-03T13:38:41-05:00

Navigating Darkness: College Athlete Suicide, Support Systems, and Shadows of Depression

Qshequilla Parham Mitchell2024-07-03T13:38:41-05:00July 5th, 2024|General, Research, Sport Education, Sports Studies and Sports Psychology|

Authors: Matt Moore, Ph. D, MSW ¹, Anne M. W. Kelly, Ph. D ², Lana Loken, Ed. D. ATC ², Mastano N. Dzimbiri, MS ¹, Payton Bennett, student

Corresponding Author:

Matt Moore, Ph. D, MSW
Chair and Faculty, Family Science and Social Work Department
Miami University
501 E. High Street
Email: moorem28@miamioh.edu

Coaches’ Perspectives of the Influence of Safe Sport-Related Education 

ABSTRACT

Purpose: An increase in mental health concerns and suicide among young adults led to a sharpened research focus on suicide and college athletes. In this study, we investigated the relationship between college athletes’ risk of depression, suicidality, and their support system and whether preventing suicide deaths requires identification of commonly cited risk factors. Methods: Voluntary college athletes aged 18-years-old or older and attending an NAIA member institution participated in the study (n = 361). They completed a web-based instrument that consisted of the following: (1) demographic questionnaire, (2) Patient Health Questionnaire (PHQ-9), (3) Berlin Social Support Scale, and (4) Columbia Suicide Severity Rating Scale. Results: Between 5-18% of college athletes responded affirmatively to one of the questions asking about suicidality. There was a significant moderate negative correlation between the suicide predictor and the PHQ-9 score and significant weak positive correlations between the suicide predictor and perceived emotional support and between the suicide predictor and perceived instrumental support. Conclusion: This study identified findings that might be useful to practitioners and opened new lines for future research. Applications in Sport: College athletic programs and university counseling centers are poised to enhance our understanding of student-athletes’ suicidal distress and how to respond by making use of qualitative research methods. We strongly recommend adopting this strategy to address depression and suicidal ideation.

Keywords: prevention, student-athletes, mental health, risk factors

Introduction
Despite growing openness about mental health struggles, a disparity still exists between physical and mental health (Gorczynski et al., 2023; Moore et al., 2022), fostering stigma and hindering help-seeking behavior (Moore, 2017), particularly among college students (Centers for Disease Control and Prevention [CDC], 2021). While mental health diagnoses in the college student population is a longstanding challenge, the COVID-19 pandemic increased stressors placed on the college student population leading to increased risks (Gupta & Agrawal, 2021; MacDonald & Neville, 2023).

According to the CDC (2021), mental health concerns and suicidal thoughts are increasing for youth and young adults. Forty percent of those surveyed showed signs and symptoms of depression and 20% said they had thoughts of suicide. These trends are similar to studies on college student mental health and suicidality (Barclay et al., 2023; Schmiedehaus et al., 2023). According to the Substance Abuse and Mental Health Services Administration (SAMHSA, 2017) individuals aged 18-25 reported a 3% increase in major depressive episodes from 2015-2017. Additionally,18.9% of individuals 18 and above reported experiencing a mental illness in the past year, with 7.5% reporting a serious mental health illness (SAMHSA, 2017). A second SAMHSA (2021) study found 33.7% of individuals aged 18-25 reported a mental illness and 11.4% reported a serious mental illness.
In addition to concerns about serious mental health illness, SAMHSA (2021) found an increase in rates of suicidal behavior. Specifically, 10.5% reported having serious thoughts of suicide, 3.7% created a suicide plan, and 1.9% attempted suicide. Research by Rosenthal et al. (2023) found higher rates with 13.7% of college students reporting suicide ideation, 7.6% making a suicide plan, and 3.2% reporting at least one suicide attempt. In 2021 suicide became the leading cause of death for those aged 20-24 (CDC, 2023).
One subset of the college student population is college athletes. Recently, discussion of their mental health increased. Researchers attempted to explore the intersectional identity of student athletes and the effect that this role strain may have on mental health (Gorczynski et al., 2023; Moore et al., 2022). Quantifying mental health and suicide risk in this group is challenging, with conflicting results on the link between depression, support systems, and suicide. Many researchers see sport participation as a protective factor for mental health risk due to the social support provided by the team (Hui et al., 2023; Sullivan et al., 2020). But additional pressures like failure to successfully compete or live up to expectations, loss of social structure due to injury or retirement from sport, or time demands of the sport in addition to being a college student can increase the risk (Moore, 2017; Moore et al., 2022). This study builds upon existing research by looking more closely at the relationship between a college athletes’ risk of depression, suicidality, and their support system.

College Athletes and Depression
According to the American Psychological Association (2020), depression is one of the most common mental health disorders in the United States. Depression might include emotional, cognitive, physical, and/or behavioral symptoms and is best understood on a continuum of severity, rather than either present or not present. Findings amongst college athletes demonstrate that depression rates align with rates of the general population of college students (hovering around 25%) (Prinz et al., 2016; Wolanin et al., 2016), and some revealed that athletes have higher rates of depression (over 30%) than the general population (Cox, 2015). While many studies find similar rates between college athletes and their non-athlete peers, others show participation in college athletics can decrease one’s risk for depression (Banu, 2019; Salehioan et al., 2012).
Although some research shows athletic participation may protect against mental illness, there is still reason for concern for college athletes. A current study by the National Collegiate Athletic Association (NCAA, 2022) surveyed almost 10,000 NCAA athletes from all three competitive division levels. Results showed athletes of all competition levels demonstrated elevated levels of mental exhaustion, anxiety, and depression. These levels were nearly two times higher than pre-pandemic levels. The top three factors negatively affecting mental health were academic worries (44%), planning for the future (37%), and financial worries (26%). Only 50% of college athletes believed mental health was a priority for their athletic department, 33% of college athletes did not know where to go to seek mental health services, and as many as 17% of college athletes reported feeling hopeless.

College Athletes and Suicide
Suicide risk in athletes is difficult to determine due to underreporting and misclassification of many sudden deaths. Over the past two decades the NCAA attempted to determine the risk of suicide specific to college athletes. Rao et al. (2015) reported that 7.3% of all athlete deaths were suicides, making suicide the fourth leading cause of death for college athletes. Previously, Miller and Hoffman (2009) found approximately 5% of student-athletes contemplated suicide. Much like research on college athlete depression, some research demonstrates sport protects against suicidality (Maron et al., 2014). This study’s findings highlight the importance of promoting participation in diverse sporting activities among college students given that engaging in such activities safeguards against depression and suicidal ideation by nurturing self-esteem and bolstering social support.

College Athletes and Social Support
The discrepancy in the literature may be accounted for by the supports that are available to college athletes and their willingness to seek such supports (Sullivan et al., 2020). One of the most discussed supports is the team environment. Sullivan et al. (2020) analyzed the effects of social supports on depressive symptoms in college athletes. They found emotional support from teammates, family, and friends was correlated with a decrease in depressive symptoms. Other more formal or instrumental supports that reduced depression included the availability of tutoring and health services, including mental health providers with specialization with athletes.
Social support has not been as extensively studied in the college athlete population. Studies show links between social support and burnout as well as social support and overall wellbeing in college athletes (Defreese & Smith, 2014). Research identified social support as an important component in allowing athletes to balance school and athletics (Carter-Francique, 2015). Many college athletes have strong social support networks naturally, such as relationships with teammates, coaches, medical staff, and other resources provided by the athletic department (Armstrong & Oomen-Early, 2009). They also have supportive relationships, such as family and friends, outside of athletics.
Despite knowledge of these available supports and benefits they offer college athletes, exploring the utilization of built-in athletic supports and personal supports unique to an individual athlete remains understudied. Much of the research tends to oversimplify social support. Due to its dynamic and complex nature, social support among college athletes merits further investigation. Research has not examined the differences in the type of perceived social support in collegiate athletics as it relates to levels of depressive symptoms and suicidality.

Present Study
Overall, the research on mental health issues, including depression and suicide in collegiate athletes is inconclusive. More research is needed to determine what factors put athletes at risk for severe mental health concerns and suicide. The purpose of this study was to investigate whether there is a relationship between levels of depression and suicide risk and levels of social support among National Association of Intercollegiate Athletics (NAIA) college athletes. The NAIA does not have data available on connectedness between depression, social support, and suicide.

Methods

Procedures

Research Design
The current exploratory study utilized a cross-sectional, web-based survey design to gather data from NAIA college athletes. Considering the size of the NAIA student-athlete population, confidence level, confidence intervals, statistical test, and statistical power, the minimum sample for this study was 47 college athletes (Faul et al., 2007). Researchers identified athletic trainers through the NAIA database to establish contact information. Athletic trainers provided survey information to their assigned college athletes. This approach was successful in other NAIA research efforts (Moore & Abbe, 2021).

Sampling
The exploratory study utilized a stratified random sampling procedure to identify college athlete participants. Researchers divided the NAIA college athlete population into subgroups, or strata, based on sports available throughout the NAIA. This included a stratum for each of the 17 sports with separate stratum for each gender that participates in a sport. Next, researchers identified NAIA member institutions that participated in each of the 17 sports. Each institution participating in a sport received a random number. Researchers selected random numbers to identify the member institutions that would participate in the survey from each sport. This approach ensured all member institutions participating in various sports had an equal opportunity for inclusion.

Participants
Voluntary college athletes aged 18-years-old or older and attending an NAIA member institution participated in the study (n = 361). Most participants were 18-21 years old (53.5%, 46.5% indicated being over the age of 21). Survey participants were primarily juniors (30.7%, 23.8% sophomores, 23.1% first years, 22.1% seniors of graduate students). More women completed the survey (59.8%, 40.2% men). Most participants who reported race/ethnicity were White/Caucasian (55.4%, 21.9% Hispanic or Latino, 14.9% Black or African American, 6.6% multiracial, 1.2% from other groups).

Table 1.

NAIA Institutional Demographic Information

University Demographic	%
Private	20.2%
Public	79.8%
Suburban	33.3%
Urban	33.9%
Rural	32.8%
Faith Based	62.9%
Non-Faith Based	37.1%

Participants recorded which NAIA athletic team they were primarily affiliated with (20.2% baseball, 19.9% soccer, 12.5% track volleyball, 8.0% softball, 6.4% cross country, 6.1% basketball, with all other sports being under 5% each [e.g., football, bowling, cheer, dance, track and field, swimming and diving, golf, tennis, and lacrosse]). Participants were further examined regarding NAIA college/university demographics (See Table 1). Participants also responded to whether or not they receiving mental health training from their college of university before participating in sport. The largest majority (n = 229, 63.7%) indicated they did not receive such training. The other 36.3% (n= 132) indicated they did receive some form of training.
[Insert Table One]

Measures and Instruments

College athletes completed a web-based instrument that consisted of the following: (1) demographic questionnaire (see above demographics), (2) Patient Health Questionnaire (PHQ-9; Kroenke et al., 1999), (3) Berlin Social Support Scale (BSSS; Shulz & Schwarzer, 2003), and (4) the Columbia Suicide Severity Rating Scale (C-SSRS; Posner et al., 2011). 

Patient Health Questionnaire (PHQ-9)
The PHQ-9 is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders (Kroenke et al., 2001). It is used to make criteria-based diagnoses of depressive and other mental disorders commonly encountered in primary care. This is a 9-item depression module upon which the diagnosis of Diagnostic and Statistical Manual (DSM) depressive disorders is based. Reliability and validity of the tool have indicated it has sound psychometric properties. Internal consistency of the PHQ-9 has been shown to be high (American Psychological Association, 2020). There is precedent for using the PHQ-9 in research with college athletes (DaCosta et al., 2020; LoGalbo et al., 2022).

Berlin Social Support Scale (BSSS)
The researchers measured the degree of emotional and tangible support using the BSSS (Schulz & Schwarzer, 2003). This scale measured perceived emotional and instrumental supports, need for support, and support seeking. There are 17 items on the BSSS that are answered using a five-point Likert scale with endpoints “1 = Strongly Disagree” and “4 = Strongly Agree.” The researchers used a mean score for each of the subscales (perceived emotional support, perceived instrumental support, need for support, and support seeking). The scale has a Cronbach’s alpha of 0.83 for perceived social support, 0.63 for need for support, and 0.83 for support seeking (DiMillo et al., 2017). The scale has a prior history of use within college athletics (Sullivan et al., 2020)

Columbia Suicide Severity Rating Scale (C-SSRS)
The C-SSRS was developed by researchers from Columbia, Pennsylvania, and Pittsburgh Universities to evaluate suicidal ideation and behavior (Posner et al., 2011). The scale provides a brief assessment of severity and intensity of suicidal ideation, suicidal behavior, and lethality (Syndergaard et al., 2023). The screener version used in this study consisted of six “yes” or “no” questions. Based on participant responses to the six questions, participants were considered low, moderate, or high risk. The C-SSRS has excellent internal consistency (α = 0.95). Principal components analysis revealed a two-factor solution, accounting for 65.3% of the variance across items (Madan et al., 2016). There is limited research on the use of the C-SSRS with the athlete population (Costanza et al., 2021).

Data Collection
Researchers contacted the athletic training staff at all sampled NAIA member institutions. Athletic training staff received the list of teams from their institution for inclusion in data collection. Researchers provided athletic training staff detailed instructions for data collection and a copy of the informed consent. Athletic training staff distributed the electronic survey to their college athletes. College athletes were able to opt-out of the survey at any time. The survey took approximately 15-20 minutes to complete. Researchers recorded survey results into a statistical software program (SPSS 28) on a secure, private platform.

Data Analysis
Researchers utilized descriptive statistics to provide details about the sample and overall survey results. Researchers used inferential statistics to infer information from the sample data to the overall NAIA student-athlete population.

To investigate the first research objective, an initial correlation analysis was conducted to examine whether having any safe sport training was related to increases in coaching outcomes. The safe sport training variable was transformed so that coaches who answered “yes” to completing any of the safe sport training courses were coded as 1 and coaches who had answered “no” to completing all the safe sport training courses were coded as 0 (i.e., no SS training=0, any SS training=1). This variable was included in a correlation analysis with all coaching outcomes: knowledge & confidence, safe sport stress, stress over athlete well-being, and efficacy to support others. To investigate the second research objective, four separate linear regression models were constructed with the sum of completed safe sport training courses (range =1-12) as the independent variable, and the following coaching outcomes as respective dependent variables: knowledge & confidence, safe sport stress, stress about athlete well-being, and efficacy to support others. In all four models, the coaching context, whether training was required (0=no, 1=yes), and whether training was free (0=no, 1=yes) were included as covariates. To address the third research objective, ANOVAs were conducted with individual safe sport courses as independent variables, and the following coaching outcomes as dependent variables: knowledge & confidence, efficacy to support others, safe sport stress, stress about athlete well-being and efficacy to support others. All analyses were conducted using IBM SPSS Statistics (Version 28) (20).

Results

Results
Descriptive Statistics
College athletes answered each item from the C-SSRS. Descriptive findings from this scale indicated that 18.3% of participants wished to be dead, 18,3% had non-specific active suicidal thoughts, 13.6% had active suicidal ideation without intent to act, 6.1% had active suicidal ideation with some intent to act, and 5.0% had active suicidal ideation with a specific plan and intent to act. Of the 361 college athlete respondents, 25.8% answers “yes” to at least one of the questions on the scale.

College athletes completed the PHQ-9 as a brief screening tool for potential depressive symptoms. Results of the PHQ-9 and the percent of athletes at risk of depression for each item can be found in Table 2.

Table 2. PHQ-9 Scores for NAIA College Athletes

Question	Mean (SD) (% At Risk)
Little interest or pleasure in doing things?	1.81 (0.91) (22.1%)
Feeling down, depressed, or hopeless?	1.68 (0.81) (14.1%)
Trouble falling asleep or sleeping too much?	2.06 (1.05) (30.2%)
Feeling tired or having little energy?	2.17 (0.92) (29.1%)
Poor appetite or overeating?	1.81 (0.96) (21.3%)
Feeling bad about yourself?	1.75 (0.93) (18.6%)
Trouble concentrating on things?	1.69 (0.96) (17.2%)
Moving or speaking so slowly that people could have notice? Or more fidgety and restless than usual?	1.34 (0.69) (7.8%)
Thoughts that you would be better off dead?	1.21 (0.53) (4.1%)

Evaluation of Assumptions

College athletes also completed the BSSS. Results of the BSSS and the percent of athletes at risk of limited social support in various areas can be found in Table 3. These are only the scale items where there were significant concerns about perceived emotional support, perceived instrumental support, need for support, and support seeking.

BSSS Scores for NAIA College Athletes

Question	Mean (SD) (% At Risk)
Whenever I am not feeling well, other people show me that they are fond of me?	3.14 (0.82) (17.2%)
When everything becomes too much for me to handle, others are there to help me?	3.21 (0.83) (18.3%)
I get along best without any outside help?	2.48 (0.81) (48.7%)
In critical situations, I prefer to ask others for their advice?	3.00 (0.79) (23.0%)
Whenever I am down, I look for someone to cheer me up again?	2.51 (0.89) (49.6%)
When I am worried, I reach out to someone to talk to?	2.69 (0.93) (38.2%)
Whenever I need help, I ask for it.	2.70 (0.96) (39%)

Researchers used correlation analysis to assess the relationship between a college student-athletes predictor of suicide with their score on the PHQ-9, perceived emotional support, perceived instrumental support, level of needed support, level of support sought, and mental health training.

Prior to conducting the analysis, researchers generated several statistics and graphs to examine the tests of assumption, including level of measurement, related pairs, absence of outliers, and linearity.

Results of the Correlational Analysis
Researchers computed a Pearson product-moment correlation coefficient to assess the relationship between a college student-athletes suicide predictor and their PHQ-9 score, perceived emotional support, perceived instrumental support, level of needed support, and level of support sought. There was a significant (p < 0.001) moderate negative correlation, r = -.462, N = 361 between the suicide predictor and score on the PHQ-9. There was a significant (p < 0.001) weak positive correlation, r = .236, N = 361 between the suicide predictor and perceived emotional support. A similar significant (p < 0.001) weak positive correlation, r = .255, N = 361 between suicide predictor and perceived instrumental support. A college student-athlete’s exposure to mental health training, perceived level of needed support, and level of support sought did not appear to be suicide predictors.

Discussion

In this study, we investigated whether preventing suicide deaths requires the identification of factors that are associated with people’s risk of suicidal behavior. Commonly cited risk factors for suicidal thoughts and behaviors are depression and inadequate support. Association between major depressive disorder (MDD) and suicide attempts or ideation has been well-documented. Accordingly, depression has been considered a necessary or sufficient cause of suicidal thoughts. But much is unknown about the characteristics that increase suicide risk among people living with depression (Bradvik, 2018). Many mechanisms could play a role in suicidal behavior among people with MDD, and, although suicidal behavior occurs among people with major depressive disorder, depression is not necessarily a useful tool for understanding the complexity of suicide (Orsolini et al., 2020).

Most people with depression do not attempt suicide. Diagnosis of MDD requires a simultaneous presentation of several specific symptoms. Approximately, 17 million American adults will have symptoms of MDD each year, but only around 45,000-50,000 Americans will die by suicide during that same time. Considered independently of other risk factors, MDD may put one at greater risk, meaning that those with this disorder are more likely than those without it to die by suicide. But still very few of those with MDD will go on to die by suicide; reliance on depression to predict suicidality is inadvisable. This is supported by Ribeiro et al. (2018), who reviewed existing literature on the subject and showed that although depressive symptoms were reported to confer risk of suicidality, the effects were weaker than expected.

Melhem et al. (2019) demonstrated that the most severe depressive symptoms and variability over time were the only predictors of suicide attempt in young adults, especially when combined with other factors (e.g., childhood abuse, history of attempt, substance use disorder, and parental attempt). But prediction was marginally better than chance, perhaps because suicidal risk varies during a psychiatric illness and may be linked to other factors that appear during depressive episodes. Orsolini et al. (2020) showed that anxiety disorders co-occurring with MDD are among the main predictors of attempts. Several factors interact and contribute to suicidal behavior and death by suicide. These may include major depressive disorder, but interactions with other factors, such as genetic vulnerability, stress, psychiatric comorbidities, and social aspects need to be evaluated to improve prevention (Orsolini et al., 2020).
Results from our research showed a moderate negative correlation between the suicide predictor and score on the PHQ-9, challenging the assumption that depression is a necessary or sufficient cause of suicidal thoughts. This lends support to the idea that traditional risk factors can be problematic and that their predictive value has not improved over the past 50 years (Franklin et al., 2017; Fortune & Hetrick, 2022).

Bradvik (2018) also acknowledged that depression is related to suicidal ideation and attempt but is not a good predictor. Bradvik (2018) pointed to results from the Australian Rural Mental Health Study in which only 364 out of 1051 respondents reported life-time depression. Of those 364 respondents, 48% reported life-time suicidal ideation and 16% reported a suicide attempt. Gender, age of depression onset, and possibly psychiatric comorbidities were somewhat predictive of suicide behavior, but no other predictive factors were revealed. These results were echoed by Melhem et al. (2019).

The limits of risk factors to accurately predict suicide is further strengthened by our finding that an increase in emotional social support was weakly associated with an increase in suicide risk, contradicting earlier research that showed suicidal distress was worse when emotional social support was low (Ayub, 2015; Otsuki et al., 2019). Similarly, instrumental social support (i.e., support that helps people with practical tasks) was weakly associated with suicide risk, contradicting findings from Otsuki et al. (2019).
After a concussion, athletes experience a range of psychological symptoms, with depression and anxiety being among the most reported (Kontos et al., 2012). Symptoms can include loss of interest in activities that were once enjoyable, persistent sadness, physical and mental fatigue, and changes in sleep patterns. These negative outcomes may be more pronounced in athletes who attach a great degree of importance to the athlete’s role in relation to other activities (Brewer et al., 1993; Raedeke & Smith, 2001) and can be made worse by changes in lifestyle, the loss of social support that team members provided, and even personality traits. One such trait is maladaptive perfectionism.
Maladaptive perfectionists are overly critical of mistakes. They strive for excessively high and ultimately unobtainable goals. This usually results in failure, which can be painful, especially for athletes with maladaptive perfectionism, who may lack resilience to bounce back from stressful experiences. This unhealthy perfectionism is associated with higher levels of depressive symptoms (Egan et al., 2011; Olmedilla et al., 2022). Additionally, perfectionists can struggle with time management, not setting realistic timelines for getting things done or because they are paralyzed by the prospect of failure. Time management is one of the most difficult aspects of participating in college sports (Rothschild-Checroune et al., 2013).

Taken together, injury and concussion, personality traits (e.g., maladaptive perfectionism), and external factors (e.g., time constraints) can contribute to negative mental health outcomes among student-athletes and may increase suicidal distress. College athletic programs and university counseling centers are poised to improve our understanding of the nature of suicidal distress among student-athletes face and how to respond by making use of qualitative research methods, which we recommend. We urge university administrators to dedicate more resources to building and integrating academic and co-curricular resilience programs into their campuses and rely less on risk assessment that focuses on commonly cited factors (e.g., depression) to predict suicide.

Study Limitations
While efforts were made to decrease discomfort with the survey, it is possible college athletes felt pressure to respond in particular ways out of personal and/or athletic concerns. This study also relied upon self-reported data. Without having the ability to verify participant responses, there was no way of knowing the legitimacy or honesty of participants’ responses. The study was unable to control the multiple covariates or confounding variables that influence a college suicidality and mental health. Finally, our study lacked a detailed exploration of how specific socio-demographic characteristics, such as race, gender, and class status, might influence suicidal ideation and other risk behaviors among college athletes.

Future Research
The complex interplay between core risk factors in individuals and heightened suicide risk among athletes necessitates further exploration. Future research should focus on understanding the repercussions of escalated demands on athletes’ mental well-being, particularly the impact of significant situational factors such as career-ending injuries on their mental health and suicide vulnerability. Additionally, there is a need to delve into the connection between suicide rates, race, and gender among collegiate students for a more comprehensive understanding of these dynamics.

Conclusion
This study examined the relationship between college athletes’ risk of depression, suicidality, and their support system and whether preventing suicide deaths requires identification of commonly cited risk factor. The results are quite different from previous research findings, revealing a moderate negative correlation between the suicide predictor and scores on the PHQ-9, adding nuance to the presumption that depression is either a necessary or sufficient factor for the emergence of suicidal thoughts. College athletic programs and university counseling centers are poised to enhance our understanding of student-athletes’ suicidal distress and how to respond by making use of qualitative research methods. We strongly recommend adopting this strategy to address depression and suicidal ideation.

Applications in Sport
Studying suicide in college sports has practical applications that can help improve the well-being and safety of college athletes. By examining the factors that contribute to suicidal ideation and behavior in college sports, researchers and practitioners can develop targeted interventions and support systems to address mental health challenges. For instance, such studies may lead to the creation of tailored mental health resources for student-athletes, including counseling services and peer support networks. Furthermore, understanding the unique stressors faced by student-athletes, such as performance pressure and balancing academics with athletics, can inform the design of preventative measures such as stress management and resilience training programs. Additionally, awareness campaigns can be created to destigmatize mental health struggles in sports, encouraging athletes to seek help when needed. Overall, studying suicide in college sports can lead to a safer and more supportive environment for student-athletes, promoting their overall health and success.

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