The Mentoring Role of High School Girls’ Basketball Coaches in the Collegiate Recruiting Process

ABSTRACT

This study was designed to determine Louisiana high school girls’ basketball coaches’ perceptions of their roles as mentors; the impact coaches have on choices female athletes make regarding attendance in post-secondary education; the type of information possessed by the coaches to assist in these decisions; and whether the coaches perceived additional training related to collegiate recruiting was needed for coaches. Coaches reported a strong belief in their roles as mentors, have a disparity of beliefs regarding what students will face during the recruiting process and believe additional training would benefits themselves, their peers, and their athletes. It was further concluded a deficiency exists in the level of knowledge possessed by the coaches regarding recruiting rules and eligibility requirements

INTRODUCTION

The opportunities for high school girls’ basketball players to obtain college scholarships are plentiful and competitive. Eleven thousand college scholarships are available across the United States for young female athletes. As specialized teachers, coaches of student-athletes have a tremendous chance to influence and to change the lives of the individual under their charge (Nasir & Hand, 2008). According to the National Collegiate Athletic Association (NCAA), of the females who attend college, roughly 50,000 initially attend as or become student-athletes (2009b). For the student-athlete who attempts to use athleticism as a mechanism to garner assistance for college, the pressure to perform at high levels is a daily fact of life (Lawrence, Harrison, & Stone, 2009).

Lough (2001) examined the coaches’ role as mentors at the college level and how that interaction often drives a career choice by a graduating college student. The role mentors played in the study was significant. Issues such as developing relationships, understanding communication anomalies, and providing visible and connected examples of role models were key components driving college athletes to make significant career choices (Lough, 2001). However, no study could be found that addressed the objectives of this study, namely, the mentoring role of high school girls’ basketball coaches in the collegiate recruiting process.

PURPOSE AND OBJECTIVES

This study examined Louisiana girls’ high school basketball coaches’ perceptions of the mentoring relationship between aspiring basketball players and arguably the person with the most potential to assist the athlete during her collegiate recruiting process: Her high school coach. The objectives were to describe: (1) the coaches’ personal and demographic characteristics; (2) the coaches’ estimates of the collegiate athletic opportunities afforded to their female basketball players; (3) the coaches’ knowledge of academic standards and recruiting requirements for entry into collegiate athletics into the two primary organizations for collegiate basketball, the NCAA and National Association of Intercollegiate Athletics (NAIA); (4) the coaches’ perceptions of their role as mentor fortheir female high school athletes; (5) the coaches’ perceptions regarding the collegiate environment that student-athletes may encounter; and (6) the coaches’ perception regarding whether additional training is needed to strengthen the coaches’ knowledge of collegiate recruiting rules.

THEORETICAL/CONCEPTUAL FRAMEWORK

Kram’s mentor role theory (1985) provided the framework for this study. Kram indicated that mentoring involved a relationship that enriches individual progress and growth. She indicated that mentoring is comprised of either psychosocial or career components. The psychosocial functions build competence, effectiveness, and identity in the professional roles of mentors and mentees in areas such as role modeling, acceptance, confirmation, friendship, and counseling (Kram, 1985). Kram delineated four sub-areas within the career/professional aspect of the relationship: Exposure and visibility; sponsorship; protection; and coaching. Kram maintained that the relationship increased in benefit to the mentee as the mentor provided more of these functions. Mentoring is not a rigid relationship – mentors may be partially orcompletely meeting the mentor’s needs (Ragins & Cotton, 1999). Mentoring may have a delayed rather than immediate impact and the benefits may be realized over an extended period of time (Kram).

Ragins and Kram (2007) addressed the necessity of more research into the area of the “rising star” effect in a mentor-mentee relationship. In this study, we examined the recruitable athlete who is, in fact, the “rising star” the high school coach mentors on a periodic basis. With the evolved framework of Ragins and Kram (2007) firmly in mind, we examined the perception that the mentor (coach) has in terms of what he or she should be providing to the mentee.

Kram (1985) delineated four stages of the mentee-mentor relationship: Invitation, cultivation, separation, and redefinition. Kram’s theory relates to a 3-8 year relationship between adult professionals. Though our study relates to the relationship between an adult and mid to late teenagers (15-18 year old), the framework is similar. The Kram framework is applicable to the evolving relationship between the coach and his or her athlete who is being recruited to play at the collegiate level.

RELATED LITERATURE

The high school girls’ basketball coach is the focus of this research. The coach stands at the cross roads between the student-athlete and the college and a potentially life altering decision for a young athlete. The coach’s knowledge and perception of their role are critical for the student-athlete.

Coach Behavior and Immediacy

The coach’s influence on the athlete and the interaction between the coach and the athlete is the undergirding aspect in need of exploration. Turman’s (2008) study of the phenomenon of whether the coach’s verbal immediacy had an effect on both the individual and on the team identified a definitive link and a predictor of the satisfaction of the athlete both with the program (team) and with the coach. Turman (2003) also examined the amount of time players spent with and in close physical proximity to a coach. Though the focus of the study was on verbal and non-verbal immediacies, the extrapolation to the coach’s influence is unmistaken.

Donohue, Miller, Crammer, Cross, and Covassin (2007) highlighted the importance of the influence of the coach on the athlete. While the study had a four-pronged approach for measurement (i.e., looking at relationships with teammates, families, peers, and coaches), the primary outcome in relation to this study was the apparent dissatisfaction that a significant number of student-athletes have with their relationships with their coaches. Data indicated a wide area of strengths and weaknesses in the various relationships, but poor relationships with and among coaches are problematic.

Jowett (2005) chronicled a multi-faceted relationship between the coach and the athlete with the broad issue of behavior and interpersonal interactions at the core. Three schools of thought are provided in terms of the level of and depth of the relationship as they relate to the behavior of the coach: Effective versus ineffective relationships; successful versus unsuccessful relationships; and helping relationships. While athletics by its nature is “win oriented,” Jowett (2005) described a level of success that goes to developing a relationship that is both helpful to the coach and to the student.

What Is at Stake?

In addition to the intrinsic reward of earning an athletic scholarship, a great deal of costs and future earnings are also at stake for the student-athlete and within the power of influence by the coach. According to the U.S. government, the average per year cost in an average four-year college is approximately $10,000 per year. Private and some high prestige public institutions cost much more. In the near term, what is at stake is worth an average of $40,000 per student-athlete who earns a full scholarship (U.S. Department of State, 2009).

In the long term, the average lifetime earnings for a college graduate are $1.3 million more than the earnings of an average high school graduate. So, in addition to the near term cost of paying for an education, the college graduate has a better opportunity to earn higher life-time earnings than someone who does not attend college (University of Wisconsin-River Falls, 2009).

College Coaches: What Are They Seeking?

Possibly one of the most critical pieces of information a high school coach can know and be prepared to pass on to student-athletes is what a college coach is looking for when they are recruiting athletes. These traits include motivation/competitiveness, “coachability” (referring to an athlete’s propensity to receive and use instruction in a positive manner), the development potential of the athlete, the influence of the coach, influence of one’s teammates, and miscellaneous contextual influences as identified by Giacobbi et al. (2002) as key elements college coaches and recruiters are seeking in their scholarship athletes.

While these traits may seem like “common sense,” their existence and prevalence need to be communicated to the potential recruit by someone. The question arises as to “how” the future college athlete would know these things intrinsically? The rational assumption is someone would have to impart this knowledge and the ensuing rational step is that the high school coach is the most likely candidate to impart this information to the athlete (Lawrence et al., 2009).

Academic Preparation: Necessity of Preparation and Role of the Coach

A truly critical reality a coach should prepare students for is the rigor of academics at the collegiate level. Though the role of the coach is to prepare a student-athlete for competition at the high school level, this paper has established the fact the massive volume of time spent with the student-athlete affords the coach an unparalleled opportunity to provide both guidance and wisdom in terms of telling the student-athlete what life will be like once she leaves the friendly and comfortable confines of the high school environment.

The literature described in the next few paragraphs provides some startling data and anecdotal but believable stories of experiences of two high school students, Nate Miles and, Bryce Brown, upon reaching the collegiate level. A glaring missing piece in the equation is the role or lack of role high school coaches had in these students’ lives as they prepared to make critical decisions and in the terminal phase of high school as the student-athletes prepared for entry into college.

Thamel (2011) reported on the case of Nate Miles, a prized male recruit who lived an odyssey of an existence as a high school student. The young man who was the focus of the story reportedly moved five times during high school, mostly at the urging of “agent” type personnel who tried to convince the young man he had a great future as a collegiate and professional basketball player. Though Mr. Miles was a great player, the “whole person” concept of a solid student, solid person did not exist, and his path was shortened and blunted because of probable outside influences. The non-existence of a high school coach and mentor to guide the young man through these complicated waters is a gaping hole in the article and the story about a lost opportunity.

Evans and Thamel (2009) also reported on a case of a high profile high school football recruit who had his college career choices altered or denied because of his association with someone who was reportedly acting as his agent. Bryce Brown, a highly prized football player from Kansas had doors closed for him on more than one occasion when his association with a recruiting service raised questions regarding his eligibility. Upon his graduation from high school, Brown appeared to be en route to the University of Miami to play running back for the Miami Hurricanes. This association never materialized because of Brown’s association with a recruiting service. Though not related to basketball per se, the question immediately arises as to if this unfortunate route could have been diverted had Brown been influenced or led bya strong mentor and coach in his high school.

While the specifics of the cases are interesting, the implied lack of information provided to Mr. Brown and Mr. Miles are an indictment of an entire culture that develops around athletes. At the very crux and beginning of this process could be the influences of the high school coaches who guided these young people and helped prepare them for this eventuality.

A contrarian view was provided by Aries, McCarthy, Salovey, and Banaji in their 2009 study of over 1,100 non-athletes and over 400 athletes at two northeastern U.S. colleges. A review of athletes entering these colleges indicated while many entered college with lower academic credentials than their purely academic counterparts, the athletes performed at the norm across the time span of a college career, meaning they more or less achieved the grades and success the over 1,100 non-athlete peers achieved, as measured by entry expectations. In brief, data gathered indicated athletes performed at a level during college that was commensurate with their entry ACT/SAT scores and high school grade point averages. The point reverts back to the information the student-athlete has when she enters college: A coach or some other mentorshould be prepared to provide the student-athlete with this type of information and to make the student-athlete aware of the expectation for academic performance at the collegiate level. The article did not raise the question or influence of the coach or mentor who could have prepared the students for the eventualities of the college experience.

In a study similar to Adler and Adler’s earlier (1985) study, Horton (2009) drew some interesting conclusions based on a national qualitative study of 17 junior college athletes. The application to this study is compelling. Horton highlighted a perception at the junior college level that coaches and administrators were important both in academics and athletics. He emphasized the need for strong involvement from the academic side to support the athletic side and summarized the perceptions of students regarding the importance of academics and the faculty apparatus for the junior college student. Many of the issues faced and related in earlier literature citations were related by the students in Horton’s (2009) study, undergirding the assumption that preparation is the key for success in the post high schoollearning environment.

Harrison et al. (2009) described the perceptions of 88 male and female athletes on what would happen to them academically at the collegiate level. The study predicted and data affirmed that females at the collegiate level performed more poorly after their academic and athletic identities were linked by personnel on the campus. The inferred interpretation is these students were probably unaware of the pressures from academia that would become realities at the college level above and beyond which they found at the high school level. Oftentimes, students can be put on pedestals as high school athletes and given a pass or not have to worry about performing at the high school level (Stevens, 2006).

Though negative inputs and things to be “aware” of have made up the review of literature to this point, it should be noted that the inputs provided by a coach can not only help a student-athlete avoid bad things, but it can help a student-athlete understand some things that will work to her advantage during the recruiting process. Harrison et al. (2009) conducted an investigation of issues related to the recruiting of high profile athletes which produced some remarkable results. Though the survey was primarily aimed at high profile, African American male athletes, data was collected that related to and is relevant to the recruiting of female athletes.

Harrison et al.’s (2009) study codified a perception that many have suspected or observed casually through the years, primarily that prized recruits are given ‘red carpet’ or preferential treatment in the recruiting process, especially when the athlete shows up on campus for an official or unofficial visit. While this may be true, the knowledge of this reality could be easily used to the advantage of the student-athlete who desires entry into a more high profile or exclusive college. Phillips (2009) also addressed this subject and found preferential treatment for student-athletes in Alabama.

The Recruitment Process: Potential for Confusion

Lopez (1998) described the complexities and intensities of the recruitment process in a 1998 feature entitled Full Court Press. The experiences of a small number of highly recruited athletes are explained and chronicled. The details of the complexities of being recruited incessantly were described in the article as almost a warning to the parents, students, and coaches who will be on the receiving end of the process. The article described massive volumes of letters, phone calls, and the presence of coaches and scouting directors at events during the summer after a junior year and during the athlete’s senior year.

Along these same lines, Klungseth (2005) crafted an article which summarized the five most important recruiting rules a high school coach should know. Though broad in nature and covering overall NCAA rules, it does provide important details for basketball coaches. The article provides a concise overview of information high school coaches should be appraised of with regards to propriety and legality (in terms of the NCAA) during the recruiting process. The five items, while seemingly “common sense”, have acute and subtle meanings and definitions within the parameters of the NCAA guidelines. The rules and their applicability are the types of things that coaches should be fully apprised of if the day arrives when they have a recruitable athlete at their high school. Specifically, the rules/areas of concern listedare (1) limits on phone calls and contacts; (2) representatives of athletic interests; (3) offers and inducements; (4) official visits; and (5) national letters of intent. Within each of the five areas, more specific, sport specific rules are outlined and delineated. Though the information is simple on the face, the overlapping nature of issues such as school year guidelines (i.e., what happens during a junior year versus a senior year) are spelled out, sport specific rules are delineated, and references to NCAA publications are also provided.

The information relayed in the article is critical, but the question the article raises is how broadly is this information disseminated? How many high school coaches across the nation and across the state are aware of these specifics? Do coaches know the ramifications of recruiting guideline violations? Are coaches prepared to guide students through this complicated process?

Necessity for Enhanced Training, Certification or Mentorship

A key component of the study is to determine whether additional training is necessary for coaches. Review of the literature found no direct recommendations or studies tied to this train of thought. However, some studies have been conducted which broadly address the need for training and certification.

Maetozo (1971) published a series of essays addressing the need for certification of high school and junior high school coaches. He addressed the issue from the perspective of the need for standards in hiring and employing coaches. Several conclusions were drawn regarding the necessity of bringing in qualified individuals to lead athletes, with the primary conclusion being that states should consider establishment of certification programs to ensure qualified and competent individuals are hired as coaches. Outlines were provided as recommendations for states to use in implementation and statements were made that “several states” had initiated the programs, but the states were not delineated. It should be noted that the college recruiting process was not mentioned whatsoever in this article. Also, no evidencewas available in reviewing literature that any national or cohesive state certification programs had been adopted.

Bloom, Durand-Bush, Schinke, and Salmela (1998) addressed the issue of mentoring across a wide girth of sports in the country. As with the Maetozo study, a broad brush was used in the approach, but general applicability can be drawn. The key issue of coaches mentoring athletes was addressed and at length, with conclusions drawn regarding the necessity and benefit for the athlete. Of note, however, was that the authors highlighted a possible need for formalized mentoring programs.

Deficiencies/Limitations in Literature

There appears to be a significant gap in both the research conducted and the scholarly articles published in the areas of demographics of college athletes. Deficiencies were also noted in the areas of characterizations and analyses of coaches. Searches were conducted to characterize and codify the experience levels of coaches across the nation, and little was found. We sought to analyze the level of involvement and mentoring done by coaches with experience levels of coaches being held as independent variable, but little was uncovered in the review of literature. Additionally, we sought to uncover data on knowledge of coaches regarding recruiting rules and entry requirements for college-bound athletes, but little was found.

METHOD

The target and accessible population for this study was defined as all head coaches of girls’ basketball teams in Louisiana whose schools are members of the High School Athletic Association (HSAA). A random sample was drawn of head coaches of girls’ basketball teams in the state whose host/sponsor schools were members of the association in the Fall during the 2010-2011 academic school year. The minimum returned sample size (n = 119) was determined based on Cochran’s Sample Size Formula (Snedecor & Cochran, 1988). Since a return rate as low as 40% was anticipated, the sample size for the study was set at 224. No instrument which met the needs of the study could be located in the research literature; therefore, an instrument was developed by the research team that addressed the objectives of the study.Embedded within the instrument was an information inventory which measured coach perceptions and knowledge bases.

DATA COLLECTION

A multiple-phase approach was employed to collect data. The sample for the study was randomly selected from a master list of coaches in the state obtained from the state HSAA. The list consisted of coaches’ names, schools, physical mail addresses and electronic mail (email) addresses for each coach. We then proceeded with the pre-determined contact procedures. Two data collections letters with instruments were sent to the sample. For both mailed data collections, notification emails were transmitted to the sample by the research team as recommended by Kent and Turner (2003). Also in each instance, we sought and received the assistance of highly respected coaches who sent an e-mail message to all coaches in the research sample in which they endorsed the concept and encouraged participation in the project. In addition,in the second mailing, we included a single, dollar bill as an incentive and to incite additional attention to our survey packet on the part of potential respondents.

Personalized follow up phone calls to a random sample of non respondents were conducted to determine if the mail respondents were representative of the population as recommended by Gall, Gall, and Borg (2003). Twenty six (n=26) coaches in the random sample of 50 non-respondents returned the questionnaire. Independent samples t-tests were used to compare the means for key variables for the responses received during the telephone follow-up to those received by mail as recommended by Gall, Gall, and Borg (2003). No significant differences existed in the responses. Since no significant differences existed between the mail and telephone follow-up responses, it was concluded that the responses appeared to accurately represent the population of head girls’ high school basketball coaches in the state. The mail responses werecombined with the responses received as a result of the telephone follow-up for further analyses. The final response rate was 128 (57.14%) out of the 224 coaches in the random sample and this number exceeded the minimum of 119 responses required for the study.

RESULTS AND DISCUSSION

In data related to the first research objective, we discovered the population of coaches in the surveyed state was generally white, male, educated, and experienced. Over half (56%) of the head coaches in the state were male, 72% were Caucasian, the average head coach had 8.5 years of experience as a head coach, 15.2 years as a coach and 14.9 years as a classroom teacher. Slightly over two-thirds of the coaches (64%) reported having a bachelor’s degree as their highest level of education.

In the second objective, coaches in the state reported an average of 8.0 students during their career that had been recruited to play college basketball. We clarified the meaning of “being recruited” as a student-athlete receiving a letter, email, phone call or other direct interest by a NCAA or NAIA college or university. Further, the coaches reported 4.4 of their players having signed national letters of intent to play college basketball. Most of the coaches (76%) had at least one player who had been recruited during their career. However, only 25% of coaches reported having 10 or more players who had been recruited during the coaches’ career and 11% reported having 10 or more players who had signed national letters of intent to play at the collegiate level.

Of note was the relative scarcity of coaches having athletes who had been recruited. On the surface, one athlete per year who is recruited and each coach averages one every other year that signs a letter of intent or gains a scholarship, which seems like a fairly frequent occurrence. However, given the volume of students a teacher has in a classroom environment throughout the year or on a single or multiple sports teams, a single athlete every year or one every other year seems like a fairly rare occurrence.

In the third objective, the study also sought to describe the level of knowledge possessed by coaches regarding academic standards and requirements for entry into collegiate athletics in the two, primary playing organizations for collegiate basketball, the NCAA and NAIA (see Table 1). This was accomplished by administering a 10 question Information Inventory of basic entry and recruiting rules for athletes ascending into the two types of institutions. The mean score on the 10 question inventory was 5.52 (SD=1.88), suggesting the population of coaches in the state has some knowledge of entry and recruiting rules in the NCAA and NAIA, but gaps exist across the domain of institution types and playing levels. All items possessed strong item discrimination power according to the standards proposed by Bott (1996).

Over half of the coaches correctly answered questions related to the NCAA Division I entry and requirements. Responses indicated very strong understanding of ACT and grade point average requirements (81.3%) and a strong understanding of core curriculum requirements (64.8%). They also demonstrated a solid, consistent knowledge of recruiting and contact requirements and limitations (62.5% & 69.5%). The fact that all four questions directly related to Division I requirements had a majority of coaches answer correctly seems to indicate knowledge is more widely disseminated or there is more interest in those requirements than in other playing institutions.

Coaches were less familiar with Division II, Division III and NAIA requirements. For the three questions related to Division II, the participants correctly answered over 60% of the time for only one of the three questions and that instance was an overlapping question that was also applicable to Division I (types of communication that may not be used). In questions strictly dedicated to Division II, coaches answered correctly 32.8% of the time when asked about entry requirements (number of core courses required) and 56.3% of the time when asked about grade and ACT requirements. This deficiency was a stark drop off from the higher number of correct answers for questions related for Division I schools. Similar, if not more striking contrasts were drawn in certain areas related to Division III and NAIA requirements. Questionsrelated to Division III and NAIA recruiting rules registered responses as low as 21.9% and 30%.

The fourth objective sought to describe the coaches’ perceptions regarding their role in guiding and mentoring recruitable athletes under their tutelage (see Table 2). A four point, Likert-type scale was used to measure the coach’s perception of his role as a mentor to recruitable athletes. The Cronbach’s alpha for the scale was .88, which indicates the scale possessed extensive reliability (Robinson et al., 1991). Coaches gave their highest ratings to three questions: “I should be able to explain what it takes to become a recruitable athlete” (M = 3.74); “I should be a mentor to my recruitable players” (M = 3.71); and “I should assist my recruitable athletes in being prepared for the rigors of the college academic as well as athletic environment” (M = 3.56).Although the coaches still agreed with this item, the lowest rated item was “I should help recruitable athletes make wise life decisions such as choosing the correct college” (M = 3.713.22). Data related to this objective are found in Table 2.

The sixth objective was to measure perceptions with regard to whether new or additional training was considered necessary in terms of preparing or enhancing the coach’s knowledge base in recruiting related activities. As with the fifth objective, a Likert-type scale was used to measure the coach’s perception of whether new or enhanced training or certification would be beneficial to the coaches in general, to new coaches specifically, to the individual coach or to students in the coach’s school. The Cronbach’s alpha for the scale was .88, which indicates the scale possessed exemplary reliability (Robinson et al., 1991).

The coaches measured consistently in favor of enhanced training or certification in this section of the instrument. The coaches agreed with all five items in this scale. The lowest rated item was, “Additional certification or training requirements for high school coaches are necessary to ensure entry level coaches have the knowledge they need about the college recruiting process prior to entering a coaching position” (M = 2.86). All remaining questions registered above a 3.0 on the Likert-type scales. The intent of these questions was to assess what coaches believed regarding the necessity for training. The scale mean was M = 3.07 (SD =.57) which indicated that the coaches agreed that additional training was needed. Data from this objective are in Table 3.

CONCLUSIONS

The conclusions for this study apply only to high school girls’ basketball coaches in Louisiana.

Conclusions for Objective One: Coaches’ Characteristics

It is concluded the gender and ethnicity of the typical girls’ basketball coaches in the studied state are male and white, respectively. This conclusion is based on the finding that approximately 70% of girls’ basketball coaches are Caucasian and 56% are males. This conclusion is in contrast to the population in the State, where Caucasians (not including Hispanic origin) in the state was reported as 61% and African American as 32% in 2010, (United States Government, 2010). It is concluded coaches have the same level of education as their non-coaching, teacher counterparts. This conclusion is based on data gathered during the study and is consistent with State’s public statistics which indicate 35.9 percent of public school teachers in have a master’s degree or higher. Thirty-six percent of coachesin this survey reported having a degree above the bachelors level (MS, MS+30 or doctoral level).

It is concluded that female high school basketball players in the state are led by an experienced cadre of coaches. With an average of 15 years in the classroom, 15 years as a coach and nearly 9 years as a head coach, it is apparent that the state’s girls’ basketball players are coached by experienced personnel.

Conclusion for Objective Two: Athletes Who Were Recruited, Signed, or Accepted Scholarships

It is concluded that coaches routinely encounter recruitable athletes, but do not encounter an overwhelming number of athletes who are recruited or signed to become college basketball players. On average, a head coach has just under one student-athlete per year who receives recruiting interest from an NCAA or NAIA school, making this occurrence not rare, but also not a predominant action in the life of a coach. The figure of one student-athlete per year was derived by comparing the average number of players recruited (M = 8.59) to the characterization in Objective One in which it was revealed the average head coach in the state has been in his or her position for approximately nine years. This conclusion is in contrast to the analysis reported by the National High School Center (2009) which indicated that one in six schoolswill experience a scholarship type student-athlete on an annual basis. There is a deficiency of data concerning the average number of athletes that coaches have contact with who are recruited, sign letters of intent, or garner scholarships.

Conclusion for Objective Three: Knowledge of NCAA & NAIA Recruiting Rules.

It is concluded coaches have limited knowledge of recruiting rules and entry requirements among the four types of playing levels for recruitable athletes. This conclusion is based on the finding that the coaches test score was 52% (out of a possible 100%) on an Information Inventory which asked questions about NCAA Division I, II, III (NCAA, 2009a) and NAIA (NAIA, 2010) entry requirements and recruiting rules. This conclusion conflicts with the framework proposed by Kram (1985) which pre-supposes the mentor will possess a superior knowledge of key areas of importance to a mentee. The conclusion also is in contrast to the rules Klungseth (2005) cited as important for coaches.

Conclusion for Objective Four: Coach’s Role

It is concluded coaches believe they have a role across a range of responsibilities in terms of mentoring their recruitable athletes. This conclusion is supported by Jowett (2005) and Donohue et al. (2007) who found that the relationship between the athlete and the coach during the recruiting process is critical. On the Likert-type scale used in this portion of the research study, the respondents registered their highest collective score, 3.72 out of 4.0, strongly agreeing their roles as mentors were real, important and wide ranging. Of concern: It is illuminating to compare the acknowledgment for an across the board need and benefit for new training with the relatively poor results achieved by the coaches in the Information Inventory. It is also encouraging to compare this eagerness for training with the resolute agreementamong coaches regarding their roles as mentors.

Conclusion for Objective Five: Expectations Regarding Collegiate Environment

It is concluded coaches believe treatment for athletes at the collegiate level will be composed of both mildly negative treatment and mildly positive preferential treatment. This conclusion is based on the finding that coaches believe athletes will face both negative stigmas (2.61 on 4.0 Likert-type scale) and encounter positive preferential treatment (2.52 on 4.0 Likert-type scale) while in college, simply because they are athletes. The coaches indicated an understanding that the environment an athlete will face will have inequities and athletes could face both positive and negative treatments. This finding is consistent with and illustrative of the cases of Nat Miles (Thamel, 2011) and Bryce Brown (Evans and Thamel), both athletes whose lives took unfortunate turns because they were probably not well informed of collegiateexpectations. While coaches were consistent in their views on this topic; there were no strong positive or negative feelings on the topic.

Conclusion for Objective Six: Necessity for Additional Training for the State’s High School Basketball Coaches

It is concluded coaches believe additional training for themselves and their peers is necessary and this training would benefit both coaches and athletes. This conclusion was based on the concurrence provided by the coaches (3.07 on 4.0 Likert-type scale) in the research indicating the need for additional training for themselves, their peers and the benefit training would provide their schools and athletes. The coaches indicated a belief that additional training or certification would be beneficial for themselves, their peers and recruitable athletes. In the strongest level of concurrence within this objective (3.27 out of 4.0) the coaches indicated a belief that all coaches would benefit by additional training and certification, indicating a consistency across the population that this was necessary. The weakest level ofconcurrence (2.86 out of 4.0) was related to the question of whether or not training was needed for entry-level coaches. This conclusion was consistent with Maetozo’s (1971) and Bloom et al.’s (1998), recommendations and discussions of the need for training and certification.

RECOMMENDATIONS AND APPLICATIONS IN SPORTS

Coaches were the primary focus of this research, and data in this report should be illuminating to them. The information should also be applicable to athletic directors and to HSAAs that administer state-wide programs. It is apparent that HSAAs should examine the necessity for an enhanced training or certification program for girls’ high school basketball coaches. Several key facts established in the study merged to drive this recommendation. First of all, coaches registered solid concurrence that: (A) They believe their roles as mentors are important; and (B) They believe additional training would be beneficial to themselves, their peers and their students. These two facts, standing alone, indicate both recognition of the critical role of the coach and a self-reflection regarding a necessity for self and communityimprovement.

Secondly, results from the Information Inventory indicate a deficiency in the knowledge base of recruiting rules and requirements. No evidence or literature was found which provided an indication coaches have any formal training on the recruiting rules and entry requirements for athletes who play basketball in the NCAA or NAIA. The researchers recommend additional training or certification could be in order for the population of coaches and that this training could result in benefits for girls’ basketball players.

Even though coaches expressed the need for additional training or certification, a concern exists regarding the apparently low number of athletes who signed national letters of intent or garnered scholarships. On average, a coach has one athlete each year that is the subject of recruiting attention and has one who receives a scholarship or signs a national letter of intent every other year. With figures this low, the question to be posed is whether additional training is truly merited to enhance or potentially help such a small number of athletes. Though the coaches believe additional training would be beneficial, a cost-benefit analysis would have to be made to determine the utility of such a new program or mandate.

It is recommended the knowledge base of all coaches throughout the state be assessed, with possible expansion to coaches across the south or the country. Though this study was focused on girls’ basketball coaches, the entire population of coaches in the state may benefit from additional training or certification. The snap shot of coaches in one sport indicates a possible deficiency in knowledge but a willingness to learn and recognition that more training could be valuable. The existence of this limitation in one sport in a Southern state could be a clarion reminder that many student-athletes are not getting the information or, more importantly, the mentoring they need to ascend to a higher level of education and thus a better life.

ACKNOWLEDGMENTS

None

REFERENCES

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Table 1.  Correct Responses to the Head Girls’ Basketball Coaches Information Inventory

Test item Correct responses
  n %
In order for an athlete to be ruled eligible for NCAA Division I athletics immediately after high school, the athlete must achieve the following: Answer Choices:
A: An ACT score of 18
B: Graduate w/a GPA of 3.5 on 4.0 scale
C: Have combination GPA & ACT on “Sliding Scale”
D: Have a GPA of at least 3.0 and in top 45% of graduating class

104

81.3

Which of the following institution types does not offer athletic scholarships? a Answer Choices:
A: NAIA
B: NCAA Division III
C: NCAA Division II
D: NCAA Division I

91

71.1

The type of communication that may not be used by an NCAA coach to communicate with a recruitable athlete is: Answer Choices:
A: Texting
B: Email
C: Land line phone calls
D: Cell phone calls

89

69.5

How many core courses does the NCAA require an athlete to complete prior to entering any Division I college or university? Answer Choices:
A: 12
B: 14
C: 15
D: 16

83

64.8

According to NCAA recruiting calendar, the first time a Division I NCAA women’s basketball coach may place a telephone call to a recruitable athlete is:  Answer Choices:
A: At the end of athlete’s junior year
B: At the end of athlete’s sophomore year
C: At the end of the athlete’s senior year
D: Never

80

62.5

In order for an athlete to be ruled eligible at a NAIA institution, the athlete must achieve the following.  Answer Choices:
A: A minimum ACT score of 21
B: A minimum GPA of 2.5 on a 4.0 scale
C: Meet 2 of 3 minimum standards in 3 broad categories
D: Have minimum GPA of 2.0 and minimum ACT sum score of 68

78

60.9

In order for an athlete to be ruled eligible for NCAA Division II athletics immediately after high school, the athlete must achieve the following:  Answer Choices:
A: A minimum ACT score of 18
B: GPA of at least 3.5 on 4.0 scale
C: Have combination of minimum GPA and class ranking
D: Have minimum GPA and a minimum sum score of 68

72

56.3

How many core courses does the NCAA require an athlete to complete prior to entering any Division II college or university?   Answer Choices:
A: 12
B: 14
C: 15
D: 16

42

32.8

Which statement below describes contact rules for NCAA Division III coaches in terms of making direct contact with recruitable high school athletes? Answer Choices:
A: There are no restrictions
B: Contact may be initiated prior to the end of the sophomore year
C: Contact may only be initiated by prospective student
D: Contact in prohibited

39

30.5

A recruitable high school athlete may sign a Letter of Intent to play for an NAIA institution: Answer Choices:
A: At any time
B: After the student’s junior year
C: Only during the student’s senior year
D: Only after the student’s senior year

28

21.9

Note. For the Information Inventory:  M=5.52, SD=1.88, N=127.  Correct answer choices are bolded and underlined.
aOf the 36 coaches who answered this question incorrectly, 34 identified the NAIA as being the type of institution which does not offer athletic scholarships, which was incorrect.

Table 2.    Coaches’ Perceptions of Their Role as the Head Girls’ Basketball Coach for Recruitable Athletes

Statement’s about coaches’ role

N

M

SD

Interpretation

I should be able to explain to an athlete what is required to become a recruitable athlete

128

3.74

.49

Strongly agree

I should be a mentor to my recruitable players.

128

3.71

.55

Strongly agree

I should assist my recruitable athletes in being prepared for the rigors of the college academic as well as athletic environment?

128

3.56

.54

Strongly agree

I should assist my recruitable athletes in preparing for the pressures of collegiate athletics?

128

3.49

.60

Agree

I should assist my recruitable athletes in marketing themselves (e.g., send out letters of endorsement, make video highlights, etc.).

128

3.42

.64

Agree

I should help recruitable athletes make wise life decisions such as choosing the correct college

128

3.22

.76

Agree

Coach’s Role Scale:

128

3.52

.42

Strongly agree

Note. Scale ranged from 1 = “Strongly Disagree” to 4 = “Strongly Agree.  Alpha = .79.

Table 3.    Need for Additional Training on Collegiate Athletic Recruitment Rules

Coaches believed

N

M

SD

Interpretation

Additional training for high school coaches is necessary to ensure coaches stay up-to-date on current college recruiting rules/regulations/trends.  128

3.27

.70

Agree

I would benefit from an additional training program for coaches that would keep you up to date on college recruiting rules/regulations/trends.  128

3.10

.64

Agree

Athletes in my school would benefit from a training program that would keep coaches up to date on college recruiting rules/regulations/trends.  128

3.08

.68

Agree

My school would benefit from an additional training program to keep coaches up to date on college recruiting rules/regulations/trends.  128

3.05

.62

Agree

Additional certification or training requirements for high school coaches are necessary to ensure entry level coaches have the knowledge they need about the college recruiting process prior to entering a coaching position.  128

2.86

.76

Agree

Necessity for Additional Training scale:

128

3.07

.57

Agree

Note. Scale ranged from 1 = “Strongly Disagree” to 4 = “Strongly Agree.  Alpha = .88.

2016-10-20T15:12:00-05:00November 21st, 2012|Contemporary Sports Issues, Sports Coaching, Sports Management, Sports Studies and Sports Psychology, Women and Sports|Comments Off on The Mentoring Role of High School Girls’ Basketball Coaches in the Collegiate Recruiting Process

Black Coaches Trying to Make It in a White-Dominated Industry: College Football and the Racial Divide

ABSTRACT

Sport participation among Black student-athletes has steadily increased throughout the National Collegiate Athletic Association (NCAA) over the last two decades. The number of Black head coaches in Division I Football Bowl Subdivision (FBS) College Football, however, has remained stagnant and in many years declined (18). Research has stated that the presence of a defined glass ceiling, discrepancies among Blacks and Whites with regard to social capital (social mobility), and factors of intent and interest in becoming coaches have been integral in preventing many Black coaches from pursuing positions as head coaches in college football. Through the use of narrative, this research contributed to the scholarship in this area by providing anecdotal evidence that hurdles still exist for Black coaches, but changes are also occurring that statistics may not reflect. The story of Charlie Friemont, a graduate assistant aspiring to become a college head coach, demonstrates how the aforementioned factors impact his career choices. Many of his experiences align with the previous literature and have impacted him both negatively and positively in his career pursuits. In addition, Charlie’s story introduces a new factor that may impact the trends of this issue in college football.

INTRODUCTION

Charlie Friemont entered the football offices at State University (SU) with strong, brisk strides wearing neatly pleated dress pants, a well pressed polo shirt tucked into his slacks, and a leather-bound notebook under his arm. He shook hands with a firm grip and sat cross-legged across a small table in the running backs’ office. As he sat back in his chair, he smiled and gestured that he was ready to begin the interview. Charlie was an enthusiastic and confident graduate assistant with the SU’s football team. In the spring of 2011, he was in the midst of his first season of spring practices at SU, working with the offense and special teams. During the busy in-season period, 16 to 18 hour workdays were routine. In addition to his football responsibilities, Charlie juggled the rigors of a demanding master’s program that was a requirement of his position. Charlie, a former student-athlete, was one of 6,178 Black student-athletes competing in football at an National Collegiate Athletic Association (NCAA) Division I Football Bowl Subdivision (FBS) school in the fall of 2003 (29). That same season there were only four Black head football coaches in all of the FBS, accounting for 3.3% of the population (18). Charlie, admittedly, was pursuing a career in an industry that has been dominated by White males (28).

After finishing an undergraduate degree in Media Arts, Charlie accepted a position at a large sports television broadcasting company in the northeast. It was his exposure to certain media practices, specifically a diverted attention to players’ personas rather than their on-field accomplishments, which inspired him to consider an alternative vocational option. “It was getting away from what the guy was doing on the field to more personalizing the athlete,” Charlie explained. “It was always who’s getting in trouble? Who’s making mistakes off the field? Who’s making a fool of themselves on the field?” Inspired to help student-athletes, Charlie left media to begin a career in college football coaching.

Like other Black coaches before him, Charlie immediately faced stereotypes that would impede his progress toward his ultimate goal of becoming an offensive coordinator. According to Lapchick (19), of the 266 possible offensive or defensive coordinator positions in the FBS, only 30 were held by Black coaches. Ironically, one year prior to Charlie embarking on his high school playing career in the spring of 1993, Anderson (1) published a study that would, unbeknownst to Charlie, forecast his college playing career and eventually his coaching aspirations. The study found that Black athletes were often moved to subordinate, or non-central, positions like running back or wide receiver in favor of their White counterparts who were cast in leadership roles such as quarterback and offensive line (1). At his undergraduate institution, Charlie’s coach noticed “he runs around a lot, so he has great feet” and moved him from quarterback, the position he played throughout high school, to running back, a position he had never played before. Anderson (1) further noted that former quarterbacks and offensive linemen were more likely to obtain assistant coaching jobs at those same positions upon entering the profession, which was viewed as a “pipeline” to a coordinator position. Over a decade and a half afterwards, Finch, McDowell, and Sagas (10) asserted a similar position. As Charlie came onto campus as an aspiring coach years later, he was approached about what position he preferred to coach and was told, “You want to be a coach? What position did you play? ‘Well, I played running back because I didn’tget a chance to play quarterback.’ Now you’re the running backs coach.” Once again, Charlie was pigeonholed.

This examination proposed that a glass ceiling, perpetuated by hiring practices influenced by tradition and racial discrimination, has inhibited increased diversity among coaching staffs within the FBS. Specifically, this article demonstrated the impact stereotypes have had in shaping the perceptions and experiences of an aspiring Black coach who was pursuing a position in the coaching industry. The purpose of this study was to analyze those perceptions and apply the findings to a better understanding of obstacles similar aspirant Black collegiate football coaches face.

LITERATURE REVIEW

According to the NCAA Student-Athlete Ethnicity Report (29), Black participation percentages in all divisions of the NCAA increased from 1999-00 to 2008-09. It is within the revenue-generating sports of football and men’s basketball where Black student-athlete representation is highest and has helped drive the increase in overall percentages. In 2008, 47% (6,644) of the participants in FBS football were Black, which was more than two percent more than their White counterparts (44.8%) (29). Although a higher percentage of Black participants existed, the total number of Black head coaches at FBS schools at the end of 2008 was seven (20). At the end of the 2010 football season, 16 Black (2 additional minority) head coaches held the head coach position at FBS schools, which was a historical high-water mark for the NCAA,but was still only 15% (19).

Much of the literature determined racial stereotyping and discriminatory hiring practices as the determinant to the distinct discrepancy in the percentage of Black participants to the percentage of Black head coaches in the NCAA (1, 5, 7, 10, 22, 24). Among the stereotypes presented by scholars, intellectual inferiority, athletic superiority, professional ineptitude, and temperament pervaded as Black coaches continued to struggle to obtain central coaching positions (26).

Glass Ceiling

The concept of a glass ceiling, as it pertains to this topic, refers to artificial barriers that preclude persons without power (i.e., minorities, women) from advancing into managerial positions (5). Treatment discrimination is a functional effect of the glass ceiling and has contributed to job dissatisfaction among subgroups (24). Essentially, inferior parties, in this case Black coaches, become disenchanted with the profession because of sustained mistreatment and a defined cap on hierarchal success. In some scenarios participants would no longer view the activity as enjoyable and the resulting loss of interest would be termed “burnout” (3). Literature suggested that the perception of a glass ceiling and subsequent job discontent created greater turnover, which negatively impacted organizational loyalty and job involvement (5). A comparatively smaller frequency of achievement subsequently hindered the foundation of strong Black networks that was already present among White coaches.

As central decision-makers, head coaches in intercollegiate athletics, specifically football, normally made hiring decisions for assistant coaching vacancies on their staff (6). It was those same assistant coaches that eventually provided a viable pool of candidates for open head coaching positions at other institutions or at the current school (1, 10, 25). The inference can then be made that if Black coaches are not being hired in leadership positions, they do not have the opportunity to hire other minority assistant coaches, thus creating a glass ceiling due to institutional racism (24).

Some scholars believed that institutional racism was a derivative of homologous reproduction, which is stated as the propensity of members of a leadership group to hire and promote within similar social and physical characteristics of themselves (15). Kanter (15), Knoppers (16), and later Mullane and Whisenant (22) tested homologous reproduction as it related to race and gender in the workplace. Cunningham and Sagas (6) argued that this theory contributed to racial inequity in intercollegiate athletics. In all of the studies except for Mullane and Whisenant (22), homologous reproduction was found to have significant influence on hiring practices (6, 15, 16). Cunningham and Sagas (6) stated the hypotheses that White head coaches hired predominantly White assistant coaches and Black head coaches, accordingly, hired primarily Black assistant coaches was statistically relevant. It could then be inferred that those that hold leadership positions, and subsequently make hiring decisions, influence the demographical makeup of a coaching staff.

Fink, Pastore, and Riemer (11) described the majority leadership network in intercollegiate athletics as “white, Protestant, able-bodied, heterosexual males” (p. 13). Employees that did not possess similar characteristics were a much smaller subgroup and often experienced negative work experience (5, 11). This dynamic allowed the authoritative group, in this case White males, to assert control. In the case of Black coaches, the glass ceiling acted as an inhibitor in career ascension due to the lack of upward mobility in the coaching ranks and the cyclical affect perpetuating the phenomenon. Ultimately the glass ceiling has profoundly impacted the coaching landscape in college football.

Social Mobility

Sartore and Cunningham (26) stated, “membership does indeed have its privileges, individuals not belonging to this network will not reap many associated benefits like information exchange, challenging work tasks, promotion, etc” (p. 72). The above stated referred to social mobility, which is described as an alteration in social standing that involves amendments to social environment and life conditions (27). Sport participation has facilitated this movement among select Black student-athletes, creating an upward mobility for a concentrated group of participants in revenue-generating sports (27). The reality is, however, that Blacks faced sport segregation through the 1950s, which inhibited high participation percentages in many sports (3). Coakley (3) further noted that Blacks participated in a small range of sports, but because those sports were notable in the United States, the under representation of minorities went unnoticed. In essence, the lack of an established administrative network has prevented Black coaches from obtaining leadership positions based on race. The challenge that was once related to participation has, in part, subsided, but has remained for Black coaches and administrators.

A contributing concept to social mobility is social capital theory, which Day and McDonald (9) defined as “resources embedded in networks” (p. 138). The authors argued that Black coaches received greater benefit than White coaches in utilizing social capital, provided they extended their network to include other White coaches and administrators (9). However, some scholars determined that Black coaches did not share the same benefit of social capital as White coaches (25). One causative factor to this has been the prevalence of “stacking”, which is stated as the migration of Black participants into non-central positions, while White participants occupy the majority of leadership positions (12). Elements of stacking, such as discriminatory hiring practices and racial stereotyping, were found to be some of the determining factors that impeded career ascension for minorities (25, 26). Stacking, as a practice, has contributed to this issue due to the collection of networking opportunities allowed to student-athletes participating in central positions. Social capital is accumulated through, not only participation, but participation in integral positions (8). Though social capital was a principle cause to career immobility among Black coaches (25), discrimination and furthered adherence to stereotypes created a prominent limitation for mobility among Black coaches (5, 13-14). In effect, Black coaches have struggled to infiltrate the White dominated field of coaching, which has prevented them from founding a social network that ultimately assists in job placement and ascension.

Intent and Interest

Cunningham, Sagas, and Ashley (7) examined the effects of affective commitment, dealing with the function of wanting to do a task as it related to occupational commitment. Coaches that have high affective commitment in coaching subsequently have less intention of leaving the profession (7). Cunningham (5) noted that only 1/3 (N = 93) of the Black student-athletes he examined in 2003 had interest in becoming a college coach. However, intent and interest are certainly related but they are not the same (5). Brown and Lent’s (2) examination of social cognitive framework delineated interest as an affinity toward an area. Conversely, Cunningham (5) noted that intent was a purposeful pursuit of, in this case, an occupation in coaching. The difference was seen in the number of Black student-athletes that pursued careers in coaching. Those student-athletes that entered the industry had high intent and interest in coaching. However, those who stated they were interested in becoming a coach but chose a different profession may have had high interest, but ultimately had low intent (5).

The examination of intent and interest is vital for two primary reasons. First, it brings to light the possibility that Black student-athletes are discouraged from entering the profession due to the prior knowledge of discriminatory hiring practices. Secondly, demonstrating intent validates interest as student-athletes consider possible career choices post-participation, which is especially important when measuring perception. According to Cunningham (5), Black student-athletes were aware of the differences in racial percentages among coaches and those disparities negatively impacted the intent and interest of these student-athletes in pursuing coaching positions.

Conceptual Framework

Finch, McDowell, and Sagas (10) expanded on Anderson’s (1) delineation of the dynamics of coaches progressing through the hierarchy of the industry. They noted that assistant coaches provided the most viable pool of head coaching candidates and, more specifically, particular coaching positions present expedited ascension to higher coaching jobs. For example, a quarterback or linebacker coach would receive preference for a vacant offensive or defensive coordinator position over another position coach like running backs or defensive backs coach. Offensive and defensive coordinators are then generally viewed as the prerequisite positions to becoming a head coach. Black coaches have been traditionally underrepresented in these secondary roles, which has limited their ability to ascend through the ranks. This concept is referred to as institutionalized racial discrimination (1, 10).

Expounding upon these assertions, this study incorporated Sagas and Cunningham’s (25) conceptual framework, which expanded on Anderson’s (1) initial findings to outline career success, human and social capital, and discrimination based explanations for the lack of minority representation among football coaches. The concept of career success is best viewed for the purposes of this study as hierarchal, extrinsic, and intrinsic success within the coaching profession. Black coaches were essentially failing to achieve success reaching a desired level of coaching or were not benefiting from their participation intrinsically or extrinsically, so they left the profession. Human capital theory refers to the educational, experiential, and opportunity based resources available to coaches. The social capital theory details the accessible network built on personal relationships. Both theories are derivatives of opportunity, or lack thereof, that coaches utilize to attain better jobs. Lastly, discriminatory explanations simply provide examples of practices that have contributed to racial inequity. The application of these ideologies influenced the understanding of the elements involved in discriminatory hiring, but also gave weight to the perceptions of an aspiring coach that was in the midst of the process.

METHODOLOGY

The narrative of Charlie Friemont is a glimpse into the social reality of college football coaching, which through story inform us of a greater meaning (18). This method was chosen to allow the reader to put Charlie’s experiences with coaching into historical context. Narrative gave the researcher the opportunity to explore the axiomatic discourse of this culture and shed light on an individual’s perception of this ongoing issue (23). Previous inquiry on this topic has been predominantly quantitative (1, 10, 25-26) and scholars that have extensively examined race in coaching suggested more qualitative exploration in this area (25). Narrative was chosen as the most appropriate method to capture the individual experiences of a person heavily invested in this topic (4), in this case Charlie Friemont. This study should be viewed as an individual’s confrontation with inequality and a starting point for furthered understanding about how it has shaped the coaching industry. As Merriam (21) suggested, “Stories are how we make sense of our experiences, how we communicate with others, and through which we understand the world around us” (p. 32).

Participant

State University (SU) is a perennial top 25 program in the country and has produced numerous professional athletes, both White and Black. The football team is a member of a highly competitive conference in the Southeastern United States. Charlie is in his first season as a graduate assistant with SU’s football team. He is a Black male that previously played the sport at another FBS school. He acknowledged that coaching is his career goal and has been involved in the profession at the graduate assistant level at multiple institutions. At the time of this inquiry, Charlie was the only Black graduate assistant working with the football staff. His experience participating in college football, as well as pursuing a full-time coaching position rendered his opinions of the current landscape of Black coaches in the FBS relevant.

Data Collection

Data was collected during four individual interviews conducted by the researcher over a two week period in the spring. Additionally, one field observation was made at State University spring football practice and another at a team scrimmage. The first two interviews were one-hour in length. Two additional 45-minute interviews were conducted during the football team’s spring practice. Each of the interviews was conducted in Charlie’s office. Observations of Charlie’s interactions with coaches and student-athletes were conducted over the course of a half hour each. Field notes were taken and recorded onto a Microsoft Word file. The interviews were recorded with an audio recording device and were also transcribed onto a Microsoft Word file.

Data Analysis

The transcribed interviews and field notes were coded and analyzed by method of meaning condensation. Meaning condensation requires “an abridgement of the meanings expressed by the interviewee into shorter formulations” (17, p. 205). The transcripts of the interviews were preliminarily reviewed by the researcher allowing for initial assignment of themes. Passages were then drawn from the data and given more abbreviated categorical designations related to the aforementioned themes. Finally, the researcher reviewed the entirety of the data and aligned meanings to the concepts.

Trustworthiness

Several steps were taken to ensure reliability in the data. An extensive review of the literature pertaining to the topic was performed prior to data collection. Multiple interviews were conducted with Charlie, which established both a working rapport and a detailed view of his professional setting. Detailed field notes and observations were also assembled by the researcher to further triangulate the data. Extensive efforts were made to thoroughly document and appropriately handle the data collection process. A precise audit trail was used to maintain the integrity of the research. Names and implicating information were omitted to make certain participant confidentiality was maintained. Member checking was also performed as Charlie reviewed the manuscript before it was submitted for publication.

FINDINGS

During this investigation with Charlie, State University (SU) hired a Black head coach for its basketball program. Basketball, the only other revenue-generating sport in the NCAA, has similarly lacked diversity among its head coaches. Charlie, sharing his reaction to the news of the new coach, gave a guarded response. “I think it speaks volumes to saying that we’re giving [Basketball Coach] an opportunity, but he doesn’t even know what the opportunity is, much less do we.” Charlie sits back in his chair, folding his arms and a wry smile comes across his face as he adds, “I think it would be probably unheard of to have a 33 year old African-American head [football] coach at [State University].” There is undoubtedly an understanding of the challenges he faces in pursuing his goals ofbecoming an offensive coordinator. The obstacles, he acknowledges, are no different than those of other aspiring coaches, except the consideration of the stereotypes associated with race. “The stereotypes just tend to keep showing up and there’s not a lot of progressive thinking going on.” Charlie’s insight into the factors deterring Black coaches from entering and sustaining positions within the coaching profession rendered three themes perceptions of racial discrimination, persistence of an elitist fraternity, and burnout. Additionally, a fourth theme emerged that may indicate a shift in the trends associated with the aforementioned factors. The theme is titled positivity and new success.

Perceptions of Racial Discrimination

During his college playing career, Charlie was persuaded to switch from quarterback, the position he played in high school, to wide receiver and eventually running back. “He should be an athlete that we can move to receiver or running back or safety,” he recalls of the general sentiment coaches had of him and other athletic, Black quarterbacks. He reveals that his perception of the stereotype of Black student-athletes was that Black players were often too versatile athletically. Their athleticism allowed coaches to decentralize these student-athletes and insert their White counterparts into those desired positions like quarterback. He went on to draw parallels within coaching as well. “A lot of the stereotypes go back to the same stereotypes that coaches get.” Charlie elaborates, “Exceptionally talented [Black] quarterbacks in high school that have to run the system that their high school coach teaches him. They don’t get the opportunity to learn, so he’s labeled as he can’t learn this.” Sitting back in his chair, Charlie continues to talk about the way Black coaches are labeled as unable to learn. Basically, they have never been exposed to certain systems or styles of play. If they are not privy to the knowledge, it is exceptionally challenging to try to learn from decentralized positions.

The position of quarterback is often deemed the face of the football program. His belief is that most institutions would prefer the traditional model of a statuesque White quarterback that aligned with societal ideals. Although Charlie concedes that size was the principal factor preventing him from playing quarterback, he notes that other Black student-athletes encountered additional barriers. “Young men culturally express themselves different by the way they look, their hair, the artwork on their bodies; the tattoos. Do you want that to be the face of your program?” In his opinion, cultural expressions often caused Black student-athletes to be exiled to positions outside of the public eye in concurrence with the institution’s preferred message.

Charlie’s move from quarterback to wide receiver and running back is evidence that the concept of stacking impacted his career. Admittedly though, he was skeptical about its impact on his particular situation. “It’s all a fraternity and it’s all about who you know and the opinions of who you know are going to come from people you trust. I think it’s about the product that you put on the field.” Some of Charlie’s objection to this theory involves the evolution of coaching and how Black coaches relate to Black student-athletes. As more coaches are able to move into leadership positions, the more difficult it is to state stacking is prevalent in college football. “Coaches have been conscious of not trying to stack because of the appearance of when you’re going torecruit,” Charlie says. “If you’re going to walk into a Black family’s house and they say ‘Hey, who’s on your staff? Where’s the Black coach down here to relate to my son?’ It would look a little odd.” Black student-athletes are aware of the makeup of the coaching staff and it is Charlie’s belief that if there was an unbalance it would be evident.

Throughout Charlie’s playing career he endured countless injuries that often kept him off of the field. The circumstances that led to him being unable to compete also allowed him to dedicate time to studying the game and assist with various aspects of coaching. It was during these occasions that Charlie discovered the dynamic of the student-athlete/coach relationship, which was regularly impacted by race. He found that student-athletes related to coaches differently. Certain student-athletes felt more comfortable with specific coaches and that connection, or in some cases disconnect, was generally motivated by race. “Different styles of coaches influence players in different ways,” explained Charlie. “There has been, for a long time, a cookie cutter image of a coach. Players look at it like, ‘ahcoach, man, he’s kind of weird, he’s not cool, he doesn’t relate to us.’” Black student-athletes could relate to Black coaches, but there was usually a detachment from the White coaches on staff, who predominantly held the head coaching or coordinator positions.

As Charlie sat and discussed the imbalance of Black head coaches that held positions in college football, he rhetorically assessed the current landscape of Black offensive coordinators or even quarterbacks coaches, at any level. The room deafening with silence, Charlie was sitting in his chair pondering the answer to his own question. He paused, shook his head and finally gave a response, “I can’t. I can’t even think of any.” Even Charlie, a current coach, could not name one Black offensive coordinator or quarterbacks coach in either the National Football League (NFL) or college football. “The stereotypes just tend to keep showing up and there’s not a lot of progressive thinking going on.” As a Black man that is aspiring to become an offensive coordinator, these are the challenges Charlie is faced with.

Fraternities

Charlie’s dad was his football coach in Little League, but nobody in Charlie’s family had ever coached in major college football prior to his attempts to break into the industry. In some respects, coaching is viewed as a family business and those fortunate to have relatives that have been successful in coaching, open doors for younger generations looking to get into the business. Charlie does not have that luxury, but has taken note of the landscape of the industry.

Head coaches become head coaches because they’re in an elite group. There’s an elite status with being a head coach. And I think to back it up a little bit further, to get into the game of coaching, it’s like any other type of fraternity, there’s ways that you can get in, but normally it’s seen as a grandfathered type of system. And with America and the way that it was built, of course it would be dominated by the White male.

Tradition, more specifically a practice of doing things a certain way because that is the way that it has always been done, has quietly manipulated the system. Key contributors to the perpetuity, Charlie believes, are institution’s sports boosters. Boosters, who are financial contributors to an institution’s athletic department, will safeguard their investments by exercising their influence on the program. Similar to the quarterback representing the face of the program, a head coach can and often will act in that same role on a larger scale. The universities and colleges, who are desperate for financial backing, will work diligently to accommodate the expectations of their wealthy supporters. “Your boosters are always going to have an influence. When you’re speaking about those people, they have their own elite fraternities and the familiar faces in those elite fraternities aren’t minorities.” Affluent boosters are predominantly older White males and, similar to the above mentioned student-athletes, relate to coaches with similar backgrounds.

Another concept that Charlie introduces to the fraternity establishment is what he refers to as the “tree concept.” Essentially, the tree concept is a coaching lineage that binds coaches with other coach’s successes or failures. In other words, if Charlie spends four seasons working under one head coach, he will then take on, in many respects, the reputation of that coach. For instance, if State University wins a national championship this year in football, Charlie will be seen as a commodity because he coached on a staff that experienced the highest level of success. Conversely, if the head coach is found to have violated several NCAA bylaws and has a reputation of attracting negative attention, Charlie will be stigmatized by the coach’s characterization.

What we’re dealing with now and the topic that we’re on is all about opportunity. It’s all association in this game and it’s who’ve you aligned yourself with and who you’ve had the opportunity to work with that somehow deems that you’ll be successful at some point. The perception from the periphery, the media, the fans and all that is basically going to say, were you with someone successful or were you not?

Charlie uses the “Bill Belichek tree” to reinforce this statement. As head coach of the New England Patriots, Belichek has produced a number of coaches that have gone on to take coaching jobs in the NCAA and elsewhere in the NFL. The perception is that these coaches have a certain pedigree for success and will bring that same success to their new organization. He then pauses and says, “We’re just starting to see it now with Tony Dungy and the slew of people that have come from him and where he’s come from.” Dungy was the first Black head coach to win a Super Bowl and has been given credit for starting his own coaching tree, which consists of other Black coaches such as Mike Tomlin (Pittsburgh Steelers), Lovie Smith (Chicago Bears), and Jim Caldwell (former head coach of the Indianapolis Colts). He admits that it is progress, but the Black coaching trees are still in their infancy.

Burnout

Coakley (3) defined burnout as the point that “stress becomes so high and fun declines so much that a person decides to withdraw from a role or activity” (p. 644). Scheduling a time to meet with Charlie was not an easy task during spring football practices. The only time the interviews could be conducted was during lunch time on Fridays. Each time Charlie arrived for an interview, he would be hustling out of a staff meeting eager to move onto the next thing in his day. “You would think, with the hours we work, we were actually curing cancer,” Charlie quipped. In the spring he worked 16 to 18 hour days, which he admitted could have been longer if it was not necessary for him to sleep. Unlike the rest of the coaches on the staff, except for the only other coaching graduate assistant, Charlie also has togo to school during the week. Part of the responsibilities of being a graduate assistant was working toward obtaining a master’s degree in exchange for tuition reimbursement and a position on the football coaching staff. Charlie confessed, “You can’t cheat the work by any means.” In both arenas, school and coaching, his production is readily exposed and he must be diligent in both to sustain his position.

In the spring of 2010, Charlie left his previous graduate assistant position to take the graduate assistantship at State University. Including his playing career, the coach at SU was his fourth head coach that he worked under and he willingly admitted that the turnover affected his production. He referred to the language of the game and the demand to master the language so that the entire staff could remain cohesive on the field. “Football has a language of its own and it changes on every different staff. So, breaking that barrier of language is just like the English language.” Charlie was working with the offense and he praised the efforts of his offensive coordinator for his diligence in bringing the entire staff along at the same pace. He also underscored the necessity of adapting to a new staff. He does,however, warn that at other schools, coordinators, and even head coaches can be guarded with assisting other coaches.

You’re limited in what you know because of what you’re exposed to. That’s the challenge. I think our offensive staff does a really good job of being vocal and everyone is exposed to what our quarterback sees. We talk a lot about throwing mechanics and things like that. Our coordinator does a really good job of that. I can’t really say that we promote pigeonholing knowledge to everyone on the staff here. You know, I think a lot of staffs do.

Working towards a master’s degree, learning his fourth “language”, trying to climb up the coaching ladder, and all the other salient responsibilities were part of Charlie’s everyday life. “There have been plenty of coaches that have jumped into coaching and are out of it in a year or two.” He continued, “A lot of it’s just accepting coaching football. It’s some intense, long hours and it’s not for everybody.”

Most student-athletes, once they have exhausted their eligibility, will have played the sport of football for nearly 18 years. Charlie started playing football when he was five years old. Early on in his life he made a conscious decision to dedicate a majority of his time to learning the game and maximizing his opportunities to participate in whatever capacity he could. “You have to think, you finish playing football at 22-23 years old, that’s 18 years that you’ve invested in a game.” Charlie’s enthusiasm for the game is evident in his passionate tones and his drive to be successful. However, participating as a coach is not the same as participating as a player, which is a struggle for some former student-athletes who are looking to become coaches. “If you were 18 years of investing in Nuclear Science, when you finish college, ‘hey what do you want to do? Go play football? No.’ You want to go into Nuclear Science.” In effect, these coaches have further pigeonholed themselves into this profession, which has been a factor in burnout.

Positivity/New Success

In the researcher’s findings, a notable fourth category emerged with Charlie that separates from the previous literature. As mentioned before, Charlie was relentlessly enthusiastic about anything that dealt with football and coaching. This final theme is attributed to the positivity, persistence, and hope for change engrossing Charlie that will, in his mind, revolutionize the coaching profession.

When Charlie left media to enter the coaching ranks, he did so because he saw a growing misrepresentation of student-athletes, especially Black student-athletes, in the media. He saw how television highlight shows and radio talk shows would primarily focus on the persona of an athlete rather than the accomplishments of the athlete on the field. He wanted to prevent student-athletes from providing media outlets with damaging material to broadcast from the ground level of coaching. In choosing to pursue this career, Charlie said he was aware that coaching was a White-dominated industry and that “he did his homework.” His secret to success has been, “I just try to stay positive through it and not let it weigh me down,” as his smile widened and he began to chuckle. “It’s not like I was the cause of it or something.” His optimism, he believed, can inspire change.

Charlie’s positivity has also fueled his persistence. He did not have an opportunity to play in the NFL after his college career, but that did not discourage him from remaining in the game. So when he was asked, why do you keep coming back to work every day? He simply responded, “I love it. I love football.” Of course that response was a simplistic version of the real answer, but he did eventually expand on that thought.

We’re trying to put our hands on people that are going to affect society at some point. I’m tired of hearing all of the negative and whatever I can do in my little part I want to. Then, you know I love football, so it’s two parts of one being around the game and one being around motivated people.

He believes that being around young people has kept him young in spirit as well. Charlie’s perception of the role of a coach went much deeper than the “X’s and O’s” of football. He viewed his role as a coach as someone that would instill the appropriate values in a student-athlete, which he needed to become a successful man, not just a successful athlete.

As Charlie stood on the sideline during an SU spring practice session, he attentively watched the first-team offense run a play. The running back who had just carried the ball came over to the sideline after the whistle had blown and the team reset for the next play. As the student-athlete came to the sideline, he removed his helmet and dropped to one knee with his head gear supporting his opposite side. Charlie turned and positioned himself directly in front of the student-athlete, bent over and with a hand on his shoulder pads spoke to him with intent. The conversation was one-sided with Charlie doing all of the talking. When he was done, the student-athlete stood, towering over the shorter Charlie, put his helmet back on and patted his coach on the back. The student-athlete had received ample coaching and Charlie turned to watch the next play. This exchange was one of many similar that was observed of Charlie during the scrimmage. In fact, at times it was extremely difficult to distinguish the difference between him and the other full-time coaches on staff.

As Charlie continues to work with his student-athletes in improving their character, he is also continuing his efforts to change opportunities for Black coaches. He understands the obstacles that lay before him and other minority coaches, but he believes that over time progress will be made. He attributes this belief to the impact research can have on the industry and the effect of, what he calls, “new success.” He says, “Believing in new success or believing that there can be new success, that’s huge. That’s huge believing that there can be new success and when there is, accepting it.” Charlie’s reference to new success is his belief that, as Black coaches accumulate greater accomplishments, there will be a higher propensity for diversity in the coaching profession.

DISCUSSION

After discussing the dynamics of the coaching profession with Charlie, it is clear that his perception is that most aspiring Black coaches are aware of the glass ceiling and that it has contributed to the determent of prospective coaches in the industry. Factors that have added to the racial inequity in college coaching include a failure to attain career success, a lack of human and social capital, and discriminatory actions against Black coaches (25). Charlie’s experiences with each of these factors is further evidence that Anderson’s (1) and Finch et al.’s (10) updated argument that Black coaches are limited in their ascension within coaching was accurate. It is the idea of new success that Charlie introduced that is most intriguing regarding this research.

Positivity and new success are elementary concepts, yet have not been applied to the coaching industry in this capacity. In a way, this theme is the antithesis of burnout, referring to the dissatisfaction of an aspiring coach. However, it is arguable that positivity and new success has to do with genetic makeup of the coach and his mindset toward the profession as a whole. Charlie entered the coaching profession because he noted a trend of players being misrepresented in the media. His purpose in his coaching pursuit was to make a difference in student-athletes’ lives. His positive predisposition allowed him to stay and flourish within his job, which may be a factor not present in coaches that previously participated in similar studies. The findings of this research indicate that attitude may heavily impact the success and perception of Black coaches in the industry.

Assistant football coaches have a regimented order in which they ascend up the coaching ranks (1, 10). As a graduate assistant, Charlie is in the first stage of this process. His challenge is making the leap from graduate assistant to running backs coach and eventually to quarterbacks coach, a position he aspires to hold in the short term. As Charlie came on to his undergraduate campus, he was a quarterback. After his coach moved him to wide receiver and eventually running back, he lost ties to the original position that he desired to play. Charlie’s coach moving him to a position with less leadership responsibility is common for Black student-athletes (26). That experience alone may have set Charlie back in his progression towards his goal. As he reemerged as a graduate assistant, he was pigeonholed again as a graduate assistant running backs coach and was working with that position at the time of this study.

Although Charlie did not feel that stacking was a current practice in college sport, there was evidence that he was subjected to the practice during both his playing and coaching careers. Essentially, stacking is moving Black participants, in this case student-athletes, into non-central or non-leadership positions (12). In addition, Day (8) argued that those groups that were susceptible to stacking would have noticeably lower social capital, a necessity in ascending in the coaching industry. Charlie was moved from a central position, quarterback, to non-central positions, wide receiver and running back. The same phenomenon is seen in the coaching landscape with the majority of Black coaches holding the non-central positions of wide receiver, running backs, and defensive backs coaches. White coaches, conversely, are in leadership positions such as offensive and defensive coordinator and head coach. The tension lies in the opportunities, or lack thereof afforded to Black coaches.

The concept of burnout is fascinating when applying it to coaching football. Charlie was not alone working those 16 to 18 hour days. Some of the coaches on staff were known to sleep in the office during busy times. Burnout can certainly impact any coach, regardless of race. However, it is interesting to compare burnout with White coaches as opposed to Black coaches. A White coach, who aspires to become a head coach, could potentially put in years of working 80-plus hour weeks. His regimen could include traveling all over the country, sleeping in hotel rooms, and separation from his family. The same could be said for a Black coach, except the White coach is more than five times more likely to achieve his goal of becoming a head coach (7). As Charlie demonstrated, he is aware that Black coaches are not given the opportunity to reach the pinnacle of coaching as often as White coaches are. For those who aspire to become a head coach, the realization that this goal is nearly impossible to attain underlies why coaches leave the profession. It is also an indication why former Black student-athletes do not enter the profession to begin with.

IMPLICATIONS, LIMITATIONS, AND FUTURE RESEARCH

Charlie’s story is an example of many flaws in the system, as it relates to opportunity. The Black student-athlete as an “athlete” has their growth in leadership positions inhibited. Charlie had exceptional athletic ability and was persuaded to move to a different position to fill a void. Although he had the measurable attributes necessary to play quarterback in college, he also had elevated attributes in other areas that made him marketable at wide receiver and running back. Essentially, his versatility hindered his opportunities to play quarterback. Once he was moved to a different position, he was pigeonholed in that position moving forward through his playing career and into coaching, thus creating a cycle for the student-athlete that demonstrates exceptional athletic ability.

The effect of placing these student-athletes in a pigeonhole is that they are limited in attainable knowledge as they progress in their career. For example, a wide receiver will only learn the nuances of the passing game, while the quarterback necessitates a wider skill set of knowledge (1, 10). Once a former receiver or running back enters coaching they are assigned to a position they did not want to play, but the only one they have enough experience in to coach. Couple those factors with a lack of mentoring and guarded colleagues; there is a reasonable understanding as to why there is so few Black coordinators and head coaches.

A few limitations existed in this study. Charlie’s story, although supported by theory, was a singular example of these practices. His story is relevant to further understanding the perceptions of Black coaches, but is limited in its ability to generalize throughout FBS football. Also, the interviewer in this examination is White, while Charlie is Black. Though Charlie did not seem uncomfortable divulging in his experiences, he may have been more comfortable speaking to a researcher of the same race. Similarly, the interviews were conducted in Charlie’s office. He was forthcoming in his answers and did not seem to hesitate in addressing sensitive topics, but discussing this topic in that setting may have caused him use restraint in his responses.

Charlie, himself, calls for a need for additional inquiry on this topic. As the percentages of Black coaches increase, perceptions of the glass ceiling may change as well. In addition, there is a similar discrepancy in college basketball between Black participants and Black coaches. As the only other revenue-generating sport in the NCAA, basketball warrants further examination on this topic as well. While there is quantitative work in this area, there is a need for further qualitative research on this topic. Therefore, a case study involving a larger group of aspiring Black coaches would render more findings important in forwarding our understanding.

ACKNOWLEDGMENTS

For “Charlie” and him accomplishing his dreams.

REFERENCES

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2.Brown, S. D., & Lent, R. W. (1996). A social cognitive framework for career choice counseling. Career Development Quarterly, 44(4), 354-366.

3. Coakley, J. (2009). Sports in society: Issues & controversies (10th ed.). New York: McGraw Hill.

4. Creswell, J. W. (2007). Qualitative inquiry & research design (2nd ed.). Thousand Oaks, CA: Sage Publications, Inc.

5.Cunningham, G. B. (2003). Already aware of the glass ceiling: Race-related effects of perceived opportunity on the career choices of college athletes. Journal of African American Studies, 7(1), 57-71.

6.Cunningham, G. B., & Sagas, M. (2005). Access discrimination in intercollegiate athletics. Journal of Sport & Social Issues, 29(2), 148-163.

7.Cunningham, G. B., Sagas, M., & Ashley, F. B. (2001). Occupational commitment and intent to leave the coaching profession: Differences according to race. International Review for the Sociology of Sport, 36(2), 131-148.

8.Day, J. C. (2011). The labor market context of social capital: Race and social networks in the occupational internal labor market of college football coaches. Sociation Today, 9(1).

9.Day, J. C., & McDonald, S. (2010). Not so fast, my friend: Social capital and the race disparity in promotions among college football coaches. Sociological Spectrum, 30(2), 138-158.

10.Finch, B., McDowell, J., & Sagas, M. (2010). An examination of racial diversity in college football: A 15-year update. Journal for the Study of Sports and Athletes in Education, 4(1), 47-58.

11.Fink, J. S., Pastore, D. L., & Riemer, H. A. (2001). Do differences make a difference? Managing diversity in Division IA intercollegiate athletics. Journal of Sport Management, 15, 10-50.

12.Hawkins, B. (2002). Is stacking dead? A case study of the stacking hypothesis at a Southeastern Conference (SEC) football program. International Sports Journal, 6(2), 146.

13.Hill, F. (2004). Shattering the glass ceiling: Blacks in coaching. Black Issues in Higher Education, 21(4), 36-37.

14.Holder, J. C., & Vaux, A. (1998). African American professionals: Coping with occupational stress in predominantly White work environments. Journal of Vocational Behavior, 53(3), 315-333.

15.Kanter, R. M. (1977). Men and women of the corporation. New York: Basic Books.

16.Knoppers, R. (1987). Gender and the coaching profession. Quest, 39, 3-32.

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19.Lapchick, R. E., Hoff, B., & Kaiser, C. (2011). The 2010 Racial and gender report card: College sport Executive Summary: Devos Sports Business Management. University of Central Florida.

20. Lapchick, R. E., Little, E., Lerner, C., & Mathew, R. (2009). The 2008 Racial and gender report card: College sport Executive Summary: Devos Sports Business Management. University of Central Florida.

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22.Mullane, S., & Whisenant, W. (2007). Florida ADs and homologous reproduction. Public Organization Review, 7(3), 261-267.

23. Riessman, C. K. (2008). Narrative methods for the human sciences. Thousand Oaks, CA: Sage Publications, Inc.

24.Sagas, M., & Cunningham, G. B. (2004). Treatment discrimination in college coaching: Its prevalence and impact on the career success of assistant basketball coaches. International Sports Journal, 8(1), 76-88.

25.Sagas, M., & Cunningham, G. B. (2005). Racial differences in the career success of assistant football coaches. Journal of Applied Social Psychology, 35(4), 773-797.

26.Sartore, M. L., & Cunningham, G. B. (2006). Stereotypes, race, and coaching. Journal of African American Studies, 10(2), 69-83.

27.Spaaij, R. (2009). Sport as a vehicle for social mobility and regulation of disadvantaged urban youth: Lessons from Rotterdam. International Review for the Sociology of Sport, 44(2-3), 247-264.

28.Wolverton, B. (2005). Dearth of Black coaches could prompt lawsuits. Chronicle of Higher Education, 52(13), A42-A42.

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2013-11-22T22:42:18-06:00November 21st, 2012|Contemporary Sports Issues, Sports Coaching, Sports Management, Sports Studies and Sports Psychology|Comments Off on Black Coaches Trying to Make It in a White-Dominated Industry: College Football and the Racial Divide

Intercollegiate Athletics vs. Academics: The Student-Athlete or the Athlete-Student

ABSTRACT

Athletic programs at many colleges and universities are inconsistent with the school’s mission statements. The term “student-athlete” basically
means that they are students first, and then athletes. We have reached a point here it can be argued that they are instead more athlete-students.
Regardless of National Collegiate Athletic Association (NCAA) rules and regulations that stipulate that they are not allowed to, some student-athletes still receive
preferential treatment and extra benefits while in college. Some recruited athletes are not prepared for the cascade of academic college work along with the additional
demands that NCAA athletics require. The athletic pressures that accompany NCAA athletic scholarship can leave the unprepared student athlete with little time
for academics.
With collegiate athletics becoming a big business the rules associated with how we treat the student athlete must change. It is not unreasonable to suggest
that is the business of college athletics changes then the way we treat the student athlete must change as well. Something needs to change in the way the
NCAA conducts its business. Considering the large amount of revenue that is, and for the foreseeable future will be, generated each year in this industry,
it is only fair that some sort of a stipend system be put in place to compensate student athletes.

Athletic programs at many colleges and universities are inconsistent with the school’s academic missions. The focus on maintaining a strong athletic
program has taken precedence over the scholastic quality of the student-athlete that is accepted into the institution. For the student-athlete this can mean
lowered academic admissions standards and preferential treatment in school. On the other hand, many student-athletes are attending college but not learning,
and are being overworked and undercompensated (Ting 2009). Overall the issue here is about the big business that intercollegiate athletics has become versus
the academic missions of the colleges and universities. The term “student-athlete” implies that the individuals should be students first, and then athletes. We
have reached a point where it can be argued that they are instead more athlete-students.
History/Background
Athletic programs were first incorporated into institutions of higher learning for several reasons: it was believed that participation in sports helped to
build character, it provided entertainment, and it generated positive school and community spirit. “It was also believed that athletics could contribute
to the institutional mission through resource acquisition in the form of money, widespread visibility, increased student enrollment, and enhanced alumni support”
(Gerdy, 2006, p. 46). However, it seems that ever since collegiate athletics began in the late 1800’s, there have been noted problems. In the first
organized collegiate football game Rutgers University beat Princeton, but the team included three players that were failing a math class (Igel & Boland,
2010). Over time, the problem has grown: in the 1980’s 57 out of 106 Division IA institutions (54%) had to be censured, sanctioned, or put on probation for
a major NCAA rules violation (Mandel, 2007). Fifty eight out of one hundred and fourteen did the same in the 1990’s (Friday, 2011). Because of the
current state of most intercollegiate athletic departments, particularly those belonging to the NCAA Division I, colleges and universities have become more
than just institutions of higher learning; they are now also huge players in the commercial entertainment industry (Clotfelter, 2010).
Overall, many athletic programs have become something bigger than the school itself; without the program’s success the schools would not be as attractive
to incoming students (Pope &Pope 2009). The success of these athletic programs lies in the hands of the student-athletes, and they need to be taught that success
on the field does not always mean success in the classroom or in life. Athletics should be extracurricular to the academic priority (O’Toole, 2010).
The Athlete-Student
It is not a question of whether or not the experience for a student-athlete is different from that of a traditional student. Instead, the issue at hand
here is whether or not student-athletes are students that participate in extracurricular competitive sports, or have become athletes that also go to classes whenever
their athletic schedules allow. On one hand, it can be argued that the student-athlete benefits greatly from the relationship that he or she has with the athletic
department and its stakeholders. On the other hand, many claim that the athletic departments have reached a point where they are unjustly exploiting

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and overworking
these athletes, using them to further grow their multimillion dollar corporations.

Some student-athletes still receive preferential treatment and extra benefits while in college in clear violation of the spirit of NCAA rules and regulations..
Colleges and universities routinely lower admission standards for athletes (Laderson, 2002) (Bracken, Scoggins & Weiner 2006). On average, student-athletes enter
in the bottom 25% of their freshman class (Eitzen, 2000). They may even be promised “grades” to get them to attend a particular institution. (Lumpkin,
2008) Some might argue That such unethical behavior would not be necessary if student athletes were encouraged to hold their studies as their highest priority.
Student-athletes also receive extra benefits in the form of money and gifts as rewards for attending a particular university or for a good game-time performance.
Many athletes do not attend college to learn, but rather hope to use their collegiate competitive athletic experience to land positions on professional sports teams
(Ladenson, 2002). They have a distorted idea of what it should mean to be a student-athlete, and believe it to be more like a required minor league that
allows them to get enough exposure to someday make it to the major leagues. With the focus on athletic competition and away from academics, collegiate athletics
has become simply one game after another, after another, devoid of a larger educational purpose or vision, just like professional sports (Gerdy, 2006).
Recruited athletes are not prepared for college work, and then even more athletic demands than they are accustomed to, are placed upon them that allows little
time for academics (Gerdy, 2006) (Ting 2009). Student-athletes entering their first year hold more responsibilities than the non-athletic participating student,
and it may be more difficult for them to transition through changes in athletic participation demands on top of the new social and academic changes. McEwen
(2010) conducted a study using a sample of eleven freshman female student-athletes that were interviewed at the beginning and then the middle of the season. He
found that although all successfully adapted to their new social and athletic lives, only two of eleven (18.2%) were able to transition academically as well.
Athletes spend 30-40 hours per week on their sport which is mentally and physically exhausting, allowing them little time or energy to put toward their studies.
This is one of the reasons why coaches tend to require they take “easy” courses and “easy” majors so that they have a better chance of maintaining
academic eligibility and can still compete (Eitzen, 2000) (Manzo 1994). By promoting an emphasis on athletics being more important than anything else in college,
this also sends a poor message to the future college student-athletes, that athletics provide a “get rich quick avenue from the realities of hard
work, personal sacrifice, and a commitment to excellence” (Haynes, 1990 PAGE NUMBER HERE!). This could not be further from the truth; however, as less
than one out of ten thousand athletes make it into professional sports (Haynes, 1990).
Collegiate athletics has been estimated to be a sixty billion dollar industry (McCormick & McCormick, 2006). It is interesting to note who benefits from
this enormous amount of money. The big conference coaches are allowed agents and sign contracts that bring them hundreds of thousands to millions of dollars
per year in salary alone. The NCAA and the universities benefit from the billions of dollars made and do not have to pay taxes on their earnings as they are claiming
that athletic functions are in line with their academic missions. Corporations and the media benefit as they get business from the exposure at the athletic
events. The student-athletes are the only group involved that are not able to benefit proportionally from the billions of dollars raked in each year.
The NCAA claims that student-athletes are classified as such for a few very important reasons. First, athletes need to be able to claim amateur status.
They do this by remaining academically in good standing and by also not receiving any pay or gifts for their performance or presence as a student-athlete. This
way the NCAA can require them to perform work as athletes for free because it is considered part of the educational mission, which also means that they do
not have to pay taxes on their profits (Eitzen, 2000). McCormick and McCormick (2006) claim that student-athletes at Division 1 NCAA sports at revenue generating
schools are actually employee-athletes and they argue that they should be able to profit as well. The NCAA revealed that football players devote more than
forty hours a week to practicing, playing, and training, but only twenty of those hours are mandatory. This means that putting in the extra hours is a well-known
but non-documented requirement. Being required to participate in any work over forty hours a week is the equivalent to a full time job (Smith, 2011). Like
no other industry in the U.S., the NCAA is allowed to employ one type of labor (athletic participation and performance) without paying a competitive wage for
it (McCormick & McCormick, 2006). The student-athletes instead are provided with scholarships to attend school, which is a positive, but in comparison to
the billions of dollars brought in every year, the tuition money is equivalent to payment in ‘peanuts.’ The student-athletes are being exploited
economically, making millions for their institutions, the NCAA, and other corporations but are provided only with a subsistence wage or room, board, tuition and books.

The long hours that the student-athletes are required to put in are due to the athletic department’s attitudes of having to “win at all costs.”
This can lead to heavily publicized athletic scandals of schools that will pay athletes in money or gifts to attend their schools, or grade changes in order
to keep athletes academically eligible (Lumpkin 2008). Fans and stakeholders of big time programs would rather win and later get busted for cheating than
finish 8-4 or 9-3 every year with a straight-laced program of student-athletes (Mandel, 2007).
Discussions/Solutions
Eitzen (2006) suggests some ways to correct the current state of intercollegiate athletics in order to align the departments with their respective institution’s
academic missions. He suggests that institutions should no longer make admissions exceptions; eliminate freshman eligibility; provide remedial classes and training;
reduce time demands; allow athletes the freedom to transfer schools whenever they would like; give them the right to consult with agents just like coaches
are able to; and give them the right to make money from endorsements, speeches, etc. Smith (2011) suggests that all scholarship athletes should be able to receive
a guaranteed undergraduate education including living expenses, for each year that they participate as an athlete on a varsity team, which they should be
able to redeem at any time. This would allow them to focus on their sport if they choose to do so. At a certain point, taking the sport to the next level
will either pan out or it will not, and at that time the offer should still be on the table for the athlete to complete their degree. The NCAA has been
somewhat receptive to changes regarding the compensation of student athletes. A reform agenda has recently been passed by the NCAA’s Division I board
of Directors that allows schools to increase aid and lengthen scholarship terms to individual athletes (Cohen 2011).

CONCLUSION

Collegiate athletics has become a big business, but athletes are expected to stay the same? How can they be expected to be responsible for contributing to
the growth of a multibillion dollar industry but be the only party to not see any benefits from it (Toma & Kramer, 2009)? Balance needs to be maximized
between academic and athletic programs. If we are going to refer to individuals as student-athletes then they should indeed be held to the highest standard
of both student and athlete. Something needs to change in the process of how the NCAA conducts its business. The NCAA is going to have to admit that the
requirements for a student-athlete, particularly in Division 1 revenue producing sports, are the equivalent of that of a full time job. Considering the huge
amounts of money that are generated each year in this industry, it would only be fair if the student-athletes were all paid a monthly stipend for their participation.
Focusing on the “athletic” aspect of being a student-athlete more than the “student” is unfair and will limit the experiences that
the student-athlete should have while enrolled at the college or university of their choice. In order for the student to be well-rounded, programs must
focus on the concepts of self-sufficiency, independence, and personal goal getting (Haynes, 1990). Almost all student-athletes will end up as a professional in
something other than sports. It needs to be ensured that the students will succeed off the field as well as on the field (Smith, 2011). College is meant to prepare
students for the real world. By failing to adequately prepare our student-athletes the institution also fails to serve this important function.
The argument can be made that collegiate athletics overshadows academia at many schools. However, many feel that the whole university community benefits greatly
from a very successful athletic program. Although preferential treatment may be given to certain student-athletes in order for them to be able to attend
and complete an academic program and play for the athletic department, many believe it can be justified. It can be argued that many of these athletes would
never make it in a higher education program if there were no sports programs to help them get there, and no motivation for them to try to attend. On a small
scale, the university, directly the athletic department, benefits from the athletes because they help in growing the program and making it a success. A large number
of the student-athletes benefit from the university because it provides them with a quality and aspect of life that they normally would not be able to experience.
It is only a tiny minority that benefit from the institution preparing them for a future in professional sports.

ACKNOWLEDGMENTS

None

REFERENCES

Brackin D.,Scoggins C.,Weiner J., (2006). Academic standards lower for U athletes,
McClatchy – Tribune Business News.
Cohen, B. (2011). Big-Time College Athletes Ask, ‘Who’s the Amateur?’ — With
the NCAA now a big business, the stars of the show want their share of the proceeds.
Wall Street Journal, 29 October 2011.
Clotfelter, C. T. (2011). Is Sports in Your Mission Statement? The Chronicle
of Higher Education,
24 October 2010. Retrieved: http://chronicle.com/article/Sports-Are-Good-for-Colleges/125038/

Eitzen, S., (2009). Sport in Contemporary Society: An Anthology, 8th ed. Boulder:
Paradigm Pub.
Friday, W. (2001). Athletics vs. Academics: Both Sides. Matrix: The Magazine
for Leaders in Education.
Nov.-Dec., 2001. Retrieved from: http://findarticles.com/p/articles/mi_6_ai_94510120/

Gerdy, J. R. (2006). Air Ball: University Press of Mississippi. University,
MS.
Haynes, III, L. L. (1990). Athletics vs. Academics: A Focus on the Future. NASSP
Bulletin 1990, 74(8).
Retrieved: http://bul.sagepub.com/content/74/530/8.full.pdf
Igel, L. H., & Boland, R. A. (2010). National Collegiate Athletic Association
(NCAA). Encyclopedia of Law and Higher Education. Retrieved from: http://lawhighereducation.com/92-national-
collegiate-athletic- association-ncaa.html
Ladenson, R. F. (2002). College Athletics: Ethics Case Study Detail, Case 81.
Eighth Intercollegiate Ethics Bowl at the Annual Meeting of the Association
for Practical and Professional Ethics in Cincinnati, February, 2002. Retrieved:
http://ethics.sandiego.edu/resources/cases/Detail.asp?ID=81
Lumpkin, A. (2008). A Call to Action for Facutly Regarding Intercollegiate Athletics.
Phi Kappa Phi Forum.
Mandel, S. (2007). Bowls, Polls, and Tattered Souls. John Wiley & Sons Pub.
New York.
Manzo, K. K. (1994). True Test: NCAA Questions Quality of Correspondence Courses,
Integrity of Exams. Diverse Issues in Higher Education.
McCormick, R. A., & McCormick, A. C. (2006). The Myth of the Student-Athlete:
The College Athlete as Employee. Washington Law Review Association, 81, February
2006.
McEwen, C. (2010). A Qualitative Examination of Sport Transisitions in First
Year Collegiate Female Athletes. M. Sc. Dissertation, Wilfred Laurier University
(Canada).
O’Toole, J. (2010). ‘Student Athlete” Should Not be an Oxymoron.
Los Angeles Times. Retrieved: http://www.kansas.com/2010/06/24/v-print/1374800/student-athlete-shouldnt-be-an.html
Pope, D. G. & Pope, J. C. (2009). The Impact of College Sports Success on
the Quantity and Quality of Student Applications, Southern Economic Journal75.
3, 750-780.
Smith, B. (2011). Lifetime Chits Would Allow Athletes to be Students, Too. Chronicle
of Higher Education, 57(19), A22.
Ting, Siu-Man Raymond (2009). Impact of Noncognitive Factors on First-Year Academic
Performance and Persistence of NCAA Division I Student Athletes, The Journal
of Humanistic Counseling, 48.2: 215-228.
Toma, J. D. & Kramer II, D. A. (2009). The Uses of Intercollegiate Athletics:
Opportunities and Challenges for the University. New Directions for Higher Education,
148.

2020-06-02T11:24:59-05:00November 19th, 2012|Contemporary Sports Issues, Sports Facilities, Sports Management, Sports Studies and Sports Psychology|Comments Off on Intercollegiate Athletics vs. Academics: The Student-Athlete or the Athlete-Student

An Exploratory Study of Physical Activity Patterns of College Students at a Midwest State University in the United States

Abstract

This study examines physical activity (PA) patterns in the context of global leisure activity of undergraduate students in a large Midwest state university.
A sample of students (n = 253) from a total population of 975 in the school of Physical Education Sport and Exercise Science participated in the study in
the fall of 2010. Student PA was measured using the leisure and physical activity survey (LPA). Descriptive statistics and nonparametric correlation analyses
were used to examine the relationship between five leisure and physical activities and four independent factors. Skewness and kurtosis values ranged from |.022|
to |1.794| and |.311| to |2.374|. All values were within the cut-off value of 2.58 at the .01 level, indicating multivariate normality among the data. The
highest mean value indicated that the majority (76.7%, M = 2.73, SD = 0.52) of the respondents engaged in web surfing 6 to 7 days a week. Video gaming was
the least frequently performed leisure activity (M = 1.43, SD = 0.67). Significant positive correlation (r = .15) was found between the participants’ age
and the frequency of weightlifting, indicating older participants were more likely to engage in weightlifting. Significant positive correlation (r = .18)
was found between the participants’ gender and the frequency of weightlifting, indicating male participants were more likely to engage in weightlifting. Gender
was also positively and significantly correlated with video gaming (r = .39), indicating male participants were more frequently engaging in video gaming.
However, negative significant correlation (r = – .27) was found between gender and the frequency of aerobic exercise, indicating female participants were more
likely to engage in this physical activity. The participants with a higher GPA were less likely to play video games as evidenced by the negative correlation
(r = -.14). In contrast, the participants with higher GPA were more likely to choose aerobic exercise (r = .20). Interestingly, the participants who spent
more time weightlifting engaged in both video gaming and aerobic exercises more frequently than who spent less (in minutes for both activities; r = .17 and
.19, respectively). The data from the study suggest more effective interventions should be implemented to promote PA among university students.

Introduction

It is hard to imagine life without the wide variety of multimedia devices that have become so commonplace over the last few decades. This technology has become essential in almost every educational, business, community, and recreational environment. Access to electronic information and communication technology is widely available to both high school and college-aged youth students, and mastering elevant information technology is one key to success in adult life. Unfortunately, this new technology phenomenon may be having a negative impact on physical activity patterns in an increasingly sedentary population (27). According to the United States Department of Health and Human Service Healthy People 2010 report, only 22% of adults engage in moderate physical activity for 30 minutes five or more times a week and nearly 25% of the population is completely sedentary (39). In addition, only about 25% of young people (ages 12-21) participate in light to moderate activity nearly every day (36). Lack of physical activity continues to contribute to the high prevalence of overweight individuals and obesity within the United States.

Obesity and lack of physical activity (PA) have been linked to numerous medical complications and cognitive decline (22). Regular participation in PA is important to sustaining good health and has been a topic of thorough investigation since the acknowledgement of the obesity epidemic with the last 30 years (36, 37). PA promotion has been an active mission of health advocacy groups during the last three decades (3, 9, 38) as physical inactivity has become more prevalent in all age groups and is believed to be one of the leading factors contributing to the rise of obesity and associated health problems. As a result, public health groups have increasingly called for actively promoting PA in multiple levels of society including family, school, local community, and state (38). Because of the gravity of the current state of fitness and obesity, participation in PA is of great importance to universities in encouraging healthy and active lifestyles.

Physical inactivity tends to increase during the aging process with the most dramatic increase occurring in late adolescence and early adulthood. Recently, university students have demonstrated the propensity for being physically inactive (17, 21). Research has indicated that about one to two thirds of university students have not engaged in sufficient PA to accrue health benefits (7, 8, 12, 17, 21, 32). Moreover, it seems very difficult to significantly increase PA among university students (17, 18). This contention is supported by the consistent percentage of physically inactive university students (17), in spite of years of issuing calls for promoting PA on campus by the American College Health Association (3) and efforts to increase PA through new facilities and programming. As suggested by Gyurcsik, Bray & Brittain (15) and Keating et al. (17), university students remain a targeted population for more PA interventions.

The examination and identification of trends in PA among younger adults remain under-represented in the literature. In order to effectively promote PA, there is a need to fully understand university student PA patterns because they represent a unique young adult group learning to live independently for the first time in their lives while simultaneously working to attain a baccalaureate degree (5, 18). This is a particularly important inquiry given that prior studies have shown that 60% of college students do not on average accumulate the recommended amount of physical activity for an adult and are unaware that adults should exercise five days a week for 30 minutes at moderate intensities (21) in order to achieve maximum health benefits. In addition, university life includes activities that may potentially encourage unhealthy behaviors. For example, university students typically have a busy schedule with their academic, extracurricular activities, work and social lives, which is a primary contributing factor relating to the decline of PA, and additionally creates great stress for meeting high academic standards, which in turn can create various psychological complications (40). Recent research, however, has demonstrated positive acute and chronic effects of aerobic exercise on cognitive performance (6). Therefore, assessing participation in PA and understanding types of student deficits can play a critical role in helping university students maintain both physical and mental health.

A handful of research on PA patterns of university students has been reported in the literature. Besides the previously noted consistent finding that students did not engage in a sufficient amount of PA (12, 15, 32), Behrens and Dinger (5) reported that university students were more active during weekdays than weekend days and there was no significant difference in PA patterns among the sexes. Furthermore, Keating and colleagues (17) found that university students did not change their PA levels as years in the university increased. Regarding university student PA determinants, similar to what has been reported for K-12 students; age, sex, and ethnicity are also found to be PA determinants for students in higher education (12, 17, 21). In comparison to K-12 students, weekly working hours, having a family, dating, living independently, hectic social schedule, proximity to PA facilities, and academic pressure, have not been investigated thoroughly.

Many young adults on college campuses are not meeting current physical activity recommendations and therefore may not be performing beneficial activities like aerobic exercise and resistance training. While some research exists that investigates PA patterns among university students, many unanswered questions still exist. To date, very few reliable instruments exist to quickly assess the leisure activity and physical activity patterns of young, college-aged adults. The IPAQ (International Physical Activity Questionnaire) is one instrument that has been validated (11) for use with this population, but the long version of the instrument is complicated and arduous to use in a collegiate setting. This may partially explain the paucity of research in this area. For example, it still remains unanswered what types of PA university students engage in and whether changes occur with PA patterns during the duration of enrollment in a university. As suggested by Rhodes and colleagues (28), professionals in the fields of fitness, health education, and physical education have not paid great attention to specific characteristics of student PA such as frequency, intensity, duration, and PA types. This lack of information inventory hinders efforts for promoting PA on college campuses as different types of PA generate different health benefits. This PA data could provide guidance for the development of various meaningful programming interventions to better influence university students regarding PA. Therefore, the purpose of this study is to examine PA patterns among students at a public university from a Midwestern state.

Method

A survey was conducted in order to assess the leisure and physical activity patterns within a “sport-minded” young adult demographic group. Among those surveyed were college students from one university in the Midwest United States. Surveyed students majored in sport management, exercise science, or sport pedagogy. All subjects were surveyed during a single fall semester. The survey instrument was composed of six demographic elements and five research-related questions, and was modeled upon a previously developed and tested instrument. This current survey was modified from the original instrument to reflect changes to the demographic elements and the addition of scaled questions related to physical activity patterns and computer use. The modified questionnaire demonstrated both criterion reference reliability (maximum aerobic capacity, handgrip dynamometry) and test-rest reliability. The demographic components included: major, age, ethnicity, gender, grade point average, and year in school. Both the survey and the research protocol were reviewed and approved by the appropriate university Institutional Review Board (IRB).

Human subject approval was granted by the university in which the study was conducted before any data were collected. Undergraduate students (n = 253) from nine classes at a Midwest public university participated in the study in the fall semester of 2010. Of the 975 students representing the total population, 253 questionnaires were returned (25.9 % return rate) and represent the subject pool for this study. The majority of the participants were male (67.2%) and juniors (47%) and seniors (47.8%) in college. The mean age was 20.55 (SD = 3.07). The majority of the participants were Caucasian (90%); the other participant ethnicities were as follows: African American (6%), Hispanic American (2%), Asian (1%) and other (1%). A relatively small number of freshman and sophomores
participated in the study. While the response rate is relatively low by traditional standards, a review of institution departmental data suggests the sample is representative of student demographics. Refer to Table 1 for detailed demographic information.

Table 1
Participants’ Demographic Information

Variables Mean (SD) Frequency (%)
Age 20.55 (3.07)
Sex
Female 32.8%
Male 67.2%
Year in college
1st year 1.2%
2nd year 3.2%
3rd year 47.0%
4th year 47.8%

Campus characteristics
The study was conducted at a Midwest university with approximately 20,000 enrolledstudents. Like most medium/large sized state universities in the United States, buses operate around the inner and outer edges of campus and into the community regularly. Courses are scheduled back-to-back with minimal break-time in between, resulting in limited time to engage in PA between classes. One large studentrecreational center and a number of outdoor exercise facilities (i.e., jogging trails, basketball courts, tennis courts, and etc.) are available for students. In addition, the university has an NCAA Division I athletic department, which consists of regionally well-known football, basketball, and volleyball sports teams. Regularly scheduled home games are held on campus on a weekly basis. Physical fitness and wellness activity (PFWL) course credits are included in the general education core requirements, and selected PA courses are available for electives within the university.

Leisure and Physical Activity Survey
The Leisure and Physical Activity survey was designed to be a quick and easy assessment of sedentary and physical activity frequency and duration in college-aged students. This self-reported survey instrument asked for class rank, gender, and grade point average. Grade point average was assessed via five predetermined ranges of answers (0-0.99, 1-1.99, 2-2.99, 3-3.99, 4.0 or above). The sedentary activity types assessed were time spent in typing/schoolwork, web surfing/entertainment, and video gaming. Each classification had further descriptors for clarification: web surfing/entertainment included (television, Facebook, MySpace, etc.), video gaming included (Xbox, Xbox 360, PlayStation, etc.). These activities were assessed for frequency (0-2 days, 3-5 days, and 6-7days) per week as well as duration per bout (0-15 minutes, 16-30 minutes, greater than 30 minutes). Each frequency and duration was assigned a score of 1 to 3 points for each of the possible responses. Aerobic exercise (running, walking, biking, aerobic dance, etc.) and weightlifting (machine, free weights, cross fit, etc.) were assessed in a similar fashion for frequency and duration.

Total scores for each item assessed were computed as the sum of the frequency and duration scores. This instrument demonstrated low item to total correlations (r < .20), suggesting that items assessed were not overlapping. In pilot testing, the weightlifting total score demonstrated a significant correlation (r > .80, p < .05, n = 58) to the criterion measure hand-grip strength assessed via a hand grip dynamometer (Jamar Hand Dynamometer, Sammons Prestons Bolingbrook, IL). Similar results were found for the aerobic total score and VO2 max (r > .60, p < .05, n = 12) assessed via a graded exercise test utilizing a modern metabolic cart (Parvomedics TrueOne 2400, Parvomedics, Sandy, UT). Both the weightlifting and aerobic total scores were not significantly
different pre to post in a large sample test-retest reliability study (n = 389, p > .05) that examined the stability of the survey after a one month time period.

Data Analyses
Descriptive statistics and nonparametric correlation analysis were used to examine the relationship between five leisure and physical activities (i.e., typing/schoolwork on computer, web surfing/entertainment, weightlifting, video gaming, and aerobic exercise) and four independent factors (i.e., age, gender, year in school, and GPA). Violation of assumptions was checked prior to data analyses by examining both skewness and kurtosis values. Data were analyzed via PASW Statistics 18.0.

Results

A total of 253 subjects submitted complete and fully useable surveys, and all subjects indicated that their primary state of residence was Indiana in the United States. Skewness and kurtosis values ranged from |.022| to |1.794| and |.311| to |2.374|. All values were within the cut-off value of 2.58 at the .01 level, indicating multivariate normality among the data. The highest mean value indicated that the majority (76.7%, M = 2.73, SD = .52) of the respondents engaged in web surfing 6 to 7 days a week (television, Facebook, MySpace, etc.). Video gaming was the least frequently performed leisure activity (M = 1.43, SD = .67). The majority (66.8%) of the participants indicated that they engaged in video gaming zero to two days per week.

Table 2
Descriptive Statistics

Activity M SD
Typing/Schoolwork on Computer Frequency Frequency 1.9486 .61183
Duration 2.4980 .55366
Web surfing/Entertainment Frequency 2.7312 .51840
Duration 2.6008 .59987
Weightlifting Frequency 1.6759 .62812
(machine, free-weight, crossfit, etc.) Duration 2.4348 .78723
Video gaming Frequency Frequency 1.4325 .67350
(Xbox, Xbox360, PlayStation, etc.) Duration 1.8498 .87807
Aerobic exercise Frequency Frequency 1.8498 .69091
Duration 2.3834 .67791

Correlational analyses revealed several significant findings. Significant positive correlation (r = .15) was found between the participants’ age and the frequency of weightlifting, indicating older participants were more likely to engage in weightlifting. Significant positive correlation (r = .18) was found between the participants’ gender and the frequency of weightlifting, indicating male participants were more likely to engage in weightlifting. Gender was also positively and significantly correlated with video gaming (r = .39), indicating male participants were more frequently engaging in video gaming. However, a negative significant correlation (r = – .27) was found between gender and the frequency of aerobic exercise, indicating female participants were more likely to engage in this physical activity. The participants with a higher GPA were less likely to play video games as evidenced by the negative correlation (r = -.14). In contrast, the participants with higher GPA were more likely to choose to participate in aerobic exercise (r = .20). Interestingly, the participants who spent more minutes on weightlifting engaged in both video gaming and aerobic exercises more frequently than who spent less (in minutes for both activities;
r = .17 and .19, respectively).

Table 3
Correlation Table

1 2 3 4 5 6 7 8 9 10 11 12 13
1. Age 1
2. Sex .15* 1
3. GPA -.02 -.19** 1
4. CP(F) .07 -.05 -.01 1
5. CP(D) -.07 -.09 .05 .21** 1
6. WS(F) -.01 -.05 .04 .31** -.07 1
7. WS(D) -.12 -.04 -.08 .16* .15* .43** 1
8. WL(F) .15* .18** .10 -.12 .04 -.12 -.12* 1
9. WL(D) .05 .29** .01 -.11 .04 -.12 -.08 .61** 1
10. VG (F) -.01 .39** -.14* -.06 -.03 .11 .10 .03 .10 1
11. VG (D) .05 .53** -.12 -.04 .02 .09 .09 .16* .17** .67** 1
12. AE (F) .04 -.27** .20** .05 .11 .08 .08 .07 -.03 -.13* -.12 1
13. AE (D) -.05 -.16** .14* .02 .13* .01 .14* .10 .19** -.08 -.04 .48** 1

Note. CP = typing/schoolwork on computer, WS = web surfing/entertainment, WL = weightlifting, VG = video gaming, AE = aerobic exercise. F indicates frequency, and D indicates duration. Correlation is significant at the .05 level (*) and the .01 level (**).

Mean scores (response range 1 to 3) for weightlifting frequency and duration by grade point average are represented in figure 1. The mean response to grade point average and duration of weightlifting demonstrated that the majority of student’s reported GPA’s in the range 1-1.99 had the highest duration (2.75 hours) of weightlifting per week, with the second highest duration (2.50 hours) per week response being 4.00. The mean response to grade point average and frequency of weightlifting demonstrated that the majority of student’s reported grade point averages in the range 3-3.99 had the highest frequency (1.74) days per week of weightlifting, with the second highest frequency per week response being in the GPA range of 1-1.99.

Mean scores (response range 1 to 3) for aerobic exercise frequency and duration by grade point average are represented in figure 2. The mean response to grade point average and duration of aerobic exercise demonstrated that the majority of student’s reported GPA’s in the range 1-1.99 had the highest duration (2.87 hours) of aerobic exercise per week, with the second highest duration (2.50 hours) per week response being 4.00. The mean response to grade point average and frequency of aerobic exercise demonstrated that the majority of student’s reported grade point averages in the range 3-3.99 and 4.00 had the highest frequency (2.00) days per week of aerobic exercise, with the second highest frequency (1.87) days per week response being in the GPA range of 1-1.99.

Discussion

There is a dearth of scholarly information explaining PA in college students as the trends in physical activity among younger adults remain under-represented in the literature. Given the large number of students enrolled in universities and colleges across the United States, an understanding of the relationship between computer use, PA and academic performance is of great interest. The following results warrant more attention from professionals in the fields of health education, fitness, and physical education. First, the highest mean value indicated that the majority (76.7%) of the respondents engaged in computer world wide web surfing six to seven days a week. While time spent on the Internet can be extremely productive, for some college students’ compulsive Internet use can and may interfere with daily life including grades, work, relationships, and PA. Second, since a large number of participants engaged in PA, higher than in more recent similar studies, it appears that an increasing trend in PA among students may be occurring. Given the number of universities across the country that have or are in the process of building large student recreation centers it is possible the increase in PA among university students is explained by the recent facility “arms race” occurring on many university campuses (41). Third, the data gathered demonstrated that the majority of student’s reported grade point averages in the range 3-3.99 which may indicate a positive correlation between frequency and duration of PA and academic performance. This finding
may be attributed to physiological and psychological factors. Research has demonstrated positive acute and chronic effects of aerobic exercise on cognitive performance (6). Students with higher academic achievement may have more intrinsic motivation to study and work harder which results in higher grades. However, this same intrinsic motivation may be responsible for the higher levels of PA in this population (4). Student’s reported grade point averages in the range 1-1.99 reported the second highest PA frequency per week in resistance and aerobic training. As opposed to the higher GPA students, students with lower academic achievement may exhibit higher rates of PA because they are not as focused on academic work and spend a larger amount of time on non-academic endeavors. Since above average or “middle” GPA students reported the lowest level of PA on the survey instrument, it seems plausible that this population may require additional strategies and resources for PA recruitment and Retention. Fourth, age and gender were also found to be important variables predicting resistance training patterns as older males were more likely to be involved in resistance training and females were more likely to engage in aerobic training. These results could be related to group exercise offerings like aerobic classes that are commonly heavily attended by female students. There may be a societal need for women to perform group activities (21) as women may be less likely than men to work out alone. Regardless of PA type, higher achieving students appear to have higher physical activity levels.

The Benefits of Physical Activity
Today’s college students have more personal choices than ever regarding ways to spend their leisure time, and with limited bandwidth, the choice to participate in physical activity typically requires either intrinsic or physical incentives of some type. So would students engage in more physical activity if they believed it would enhance their academic performance? Evidence supporting the association between PA and enhanced academic performance is strengthened by related research that found higher levels of physical fitness to be linked with improved academic performance among children and teens. There are several possible mechanisms by which physical education and regular PA could improve academic achievement, including enhanced concentration skills and classroom behavior. Stevens et al. (33) reported that physical activity was associated with higher achievement scores in both mathematics and reading. Though in these investigations physical activity was only one of many correlates to academic performance, increased levels of physical activity garnered through team sport or increased activity outside of physical education courses was related to academic performance. Tomporowski et al. (35) in a recent review of the findings in children suggested that exercise might enhance children’s mental functioning. The present investigation builds upon the evidence of a relationship between physical activity and exercise to academic performance by demonstrating similar findings among Midwestern university students. Fox et al. (13) reported that among a large cohort of middle and high school students, participation in team sports was associated with higher GPA’s. Laure and Binsinger (19) reported a similar finding in a large cohort of French students. It should be noted that a previous study conducted in Kuwait (2) reported no relationship between results of a health promoting lifestyle, which included assessment of reported physical activity and academic performance. However; this study examined a smaller sample of students (n = 224) and the students were all nursing majors. The limited sample size and relative similarity of population may be in part responsible for this finding. The present investigation included a slightly larger sample (n = 253) and the students were drawn from several different fields of study within the school of physical education, sport, and exercise science. Yet even though the relationships are small, academic achievement is critical for nearly all college students. Therefore, any demonstrated relationship to academic performance is an important finding.
Demographic Differences in Physical Activity Patterns
It is important to analyze the various elements that contribute to the difference in physical activity patterns in college students. Although the correlations in the present study are small in magnitude, it has been demonstrated that there are many other factors that are related to academic performance such as socioeconomic status (33). Sex and ethnicity disparity in PA has been well documented and there is a need to bridge the gap in the two variables (17, 21). The study, however, noted that the PA discrepancy of sex and ethnicity still exists. Specifically, the results of the study align with the finding that females were found to perform significantly less PA than their male counterparts (14, 21). Joining with other studies on the topic (18, 20), this study echoes the need for more attention on female student PA. Moreover, there was a significant difference in PA events participated by females, indicating the selection of PA events is gender sensitive. PA interventions should take into consideration the PA preferences of the different genders and provide male and female students with the appropriate opportunities for PA that they prefer.

Regarding ethnicity, previous studies have generated a consistent finding that whites tend to engage in more PA than other ethnic groups and African Americans and Asians are the least physically active groups (18, 21, 34). Unfortunately, no data are available to explain why Asians and African Americans are less active than Whites and Latinos. The lack of diversity and the small sample size of the subject population in the present study do not allow for findings based on ethnicity.

Increasing Physical Activity Patterns
The benefits of physical activity are well known and accepted. Providing PA information that will motivate and enable people to change behavior and to maintain that change over time is the key. Public health groups have made a number of attempts to increase PA in higher education for more than a decade (3, 37). Considerable research has been conducted in the area of exercise behavior change and the majority of recent reports suggest that exercisers progress through a set of identifiable stages before reaching the maintenance stage when they have integrated exercise as part of their lives (25, 26). It is encouraging that the percentage of students who were involved in an adequate amount of PA was higher than the percentage reported in most previous studies (17, 18, 21). Universities serve as an excellent venue to provide college students with the opportunity for daily PA. The student recreation center (SRC) at many colleges and universities has evolved from being a place to exercise and take aerobics classes to becoming a high-powered recruitment tool (27). A survey of collegiate recreation providers indicated that fitness centers are flourishing and that accommodating user demand is one of the biggest challenges facing supervisors
(24).

The present investigation helps to fill a gap in the literature by expanding previous findings among elementary, middle, and high school students in regard to the associations of physical activity and academic performance into the collegiate level. Information concerning the most frequently engaged PA can be used to guide the reform of physical education curricula in K-12 and college programs (10, 29) as one of the ultimate physical education goals is to promote PA participation as a long term healthy lifestyle (23). Unfortunately, there were not data available to explain what interventions had been implemented on campus to promote and enhance PA among the students. Since this additional research confirms the high level of interest in exercise adherence services in the current study, recreation staff and sport administrators may want to consider supporting the development of standardized assessment and adherence services to increase the likelihood of students maintaining healthy, active lifestyles while in college. The study reiterates the need for a strong emphasis on lifetime PA as suggested by Corbin (10). On the other hand, because universities are still a part of the entire education system, the unique characteristics of university students must be considered (17). University student PA patterns might be different from other young adults who are not in higher education. Surprisingly, participants in the present study demonstrated the similar PA patterns to other young adults involved in most individual PA (aerobic and resistance training).

Limitations
As might be expected, university students tend to participate in a wide variety of PA. One limitation of the present study is the focus on two primary areas of PA (aerobic and resistance training). Research has indicated that PA enjoyment and the social aspect of recreational activities are two of the primary factors that attract young adults to involvement in sports-related PA (4, 28). This topic was beyond the scope of the present study and is an area for future investigation. Further, self-reported questionnaires, sample size and limited comparable data combined with the secrecy that surrounds personal practice creates difficulty in assessing result reliability (1). Empirical data have demonstrated that participants have the propensity to over-report their PA (21) and as a result, the data collected in the study are most likely skewed toward the highest level of PA (16). Some experts suppose that these attitudes may be the consequence of social desirability. That is, the participants are reporting what they think a health professional or professor might want to hear rather than their true leisure and physical activity patterns. Survey research investigating an individual practice sometimes has limitations including: answers may be intentionally false as the subjects questioned may not wish to reveal their true feelings, even if anonymity and confidentiality are guaranteed by the investigators (1). Thus, these results should be interpreted with caution.
Conclusion

Lack of PA continues to contribute to the high prevalence of overweight individuals and obesity within the United States. Based upon the results of the present investigation, it can be suggested that colleges focus on the provision of aerobic exercise for students, through either outdoor or indoor recreational facilities. Given the number of universities across the country that are currently building or have previously built large recreation facilities for students, it can be suggested that these centers are constructed and staffed in such a manner as to encourage aerobic exercise. While these results are promising, the data do not account for the long-term maintenance of physically active lifestyles.

Applications in Sport

There is an ongoing need to foster PA opportunities across all the disciplines of physical education, recreation, dance, and sport. Recreation and sport administrators must not only be aware of national trends, such as the fact that 67% of non-institutionalized adults age 20 years and over are overweight or obese in the United States (9), but university administrators should diligently examine their facility needs and accompanying programming. The importance of PA within the college-aged student population is well established and a renewed focus among recreation and sport administrators is not only justified but necessary. The reality: most college students do not complete the recommended amount of PA each week. In an effort to increase PA among this population, sport administrators should leverage existing physical activity space, encourage enhancements where necessary and promote physical activity. Access to PA facilities is the first step to achieving higher exercise rates among students. Collegate sport/recreation administrators must be ready to evaluate their facilities based on the needs of the student population and properly follow through with appropriate accomodations. Recreation and sport administrators should also encourage aerobic exercise by building programs around the types of physical activity college students want and need. Physical education programs are important tools for those college students who want to be physically active but are unsure of how to do so. Physical education classes offer opportunities for students to learn about different PA choices and encourage adoption of those activities in their everyday life. Continued implementation of PA programming on university campuses benefits the students, faculty, university, and community. Recreational facilities and PA programs create value-added products that deserve an expanded focus within the university.

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2016-10-12T15:04:16-05:00November 16th, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Studies and Sports Psychology|Comments Off on An Exploratory Study of Physical Activity Patterns of College Students at a Midwest State University in the United States

Female Athletes and Eating Disorders

 

Abstract

Sports should prevent athletes from having eating disorders not develop eating disorders. There is evidence that female athletes are at a risk of developing
disordered eating. The purpose of this study was to find how prevalent eating disorders are in female athletes and examine factors that may have a relationship
with eating disorders.

A questionnaire containing two instruments was distributed to volunteer female athletes in a Midwestern university. The EAT 26 was used to measure the prevalence
of eating disorders. The ATHLETE questionnaire was used to inquire some factors that may have a relationship with eating disorders among athletes. Results showed
14.3% of the respondents scored a 20 and above on the EAT 26 and thus considered at risk of having an eating disorder. The ATHLETE questionnaire showed that
there were some significant negative correlations between the EAT 26 score and participant’s feelings about their body, feelings about sports, feelings
about performance, and feelings about eating. The negative correlations meant that the more the participants scored high on their feelings about their body,
sports, performance, and eating, the less likely they scored low on the EAT 26 indicating they did not have a risk of an eating disorder.

This study implies that when athletes feel good about their body, sport, performance and their eating, the less likely they will have an eating disorder. This study
makes an important contribution in understanding female athletes and eating disorders as well as factors that may have a relationship to eating disorders
in female athletes.

 

Introduction

An eating disorder is a psychological disorder that many women can acquire, ncluding collegiate athletes. Participation in sports activity can be a healthy
and enjoyable experience that can enhance self-worth and self-image in female athletes (12). Many people may believe that because athletes participate in
sports and maintain high levels of physical activity, they are not as self-conscience about their bodies. Contrary to this belief, (1) stated in their study that
athletes are at a greater risk for developing eating disorders than non-athletes. Why female athletes have eating disorders when they are so active is a question
of interest to many people. The purpose of this study is to find how prevalent eating disorders are in female athletes and examine factors that may have a
relationship with eating disorders.

Incorrect weight perceptions are more common in young women, with persistent overestimation of weight and attempts to lose weight even when unnecessary (7).
(5) stated that female athletes are a group particularly at risk for developing eating disorders or engaging in unhealthy behaviors to control their weight.
These athletes not only face the typical social pressures to be thin, but they also are immersed in a social context that focuses on their bodies.

Eating disorders are behavioral syndromes associated with considerable mobility that present onset of the highest mortality rates among mental illnesses. The
prevalence of eating disorders’ has increased since the 1990s in both female athletes and non-athletes. Female athletes go through a lot of pressures
and conflicts playing collegiate sports. Female athletes are a group particularly at risk for developing eating disorders or engaging in unhealthy behaviors to
control their weight (13).

The western cultural emphasis given to weight and body shape points towards a “beauty standard” centered on thinness disorders (11). For some
female college athletes, college concerns and pressures may contribute to eating disorders or disordered eating behaviors (6). The sports environment can heighten
body and weight related concerns because of factors such as pressure from coaches and social comparisons, body dissatisfaction, physique anxiety, and perfectionism
(6, 11). A lack of professional guidance can make an athlete vulnerable to the onset of disordered eating (10). It appears that negative moods such as anxiety,
perfectionism, and negative comments about body shape or weight from coaches are related to disorder eating in female athletes (1). (9) found that social
pressure on body shape was strongly correlated with body dissatisfaction. Female athletes’ body dissatisfaction has shown correlation with bulimia (6).
According to (7), perfectionism, for example in sports has been found to be a risk factor for bulimic symptoms.

However, prevalence of clinical and subclinical eating disorders has been found to be higher-among female athletes than non-athletes (5). Young women, particularly
those in aesthetic sports are vulnerable to body dissatisfaction, eating disorders, and disordered eating (10). Situational factors specifically involvement in
individual sports or team sports, may put athletes in situations where social physique anxiety and disordered eating is likely to be heightened to manage
weight and shape concerns (13, 8).

This is an important topic because although physical activity enhances self-esteem and promotes physical and emotional well-being, there is evidence that female
athletes are at a risk of developing disordered eating. It is important to investigate some of the reasons why female collegiate athletes feel the need to have disordered
eating. Results of the study can assist in developing and executing suitable eating-disorder prevention and intervention programs for female college athletes.
The purpose of the study was twofold. First, it was to assess how prevalent eating disorders were among female college athletes. Secondly, it was to explore
some factors that may have a relationship with eating disorders.

Methods

Participants
There were 56 participants in total, including 11 freshman, 21 sophomores, 13 juniors and 11 seniors. The following sports were included: soccer (23.2%),
softball (23.2%), track and field (41.1%), and swimming (12.5%). The age range was between 18 to 22 years, with over 98% being between 18 and 21 years. The
entire sample was Caucasian with an exception of one participant.
Instruments

A questionnaire was used to collect data, it included a demographic section on age, sex, height, weight and race of the participants. Two instruments were
included in the questionnaire, the first being the EAT 26 by (4), which measured prevalence of eating disorders among athletes. The EAT 26 has been used extensively
in research as a reliable measure of prevalence of eating disorders. The EAT-26 scale is comprised of these dimensions: dieting, bulimia and food preoccupation,
and oral control. Each item on the scale is rated on a scale of 0-6 as follows: never=0, rarely=0, sometimes=0, often=1, usually=2, and always=3, except for
item 25 which is reverse scored.

Second was the ATHLETE questionnaire, which was used to inquire some factors that may relate with eating disorders among athletes. The ATHLETE questionnaire
is a reliable and valid measure of factors that may relate to disordered eating in athletes (9). The ATHLETE questionnaire has the following factors that have
shown association with disordered eating: feelings about being an athlete, the athlete’s body and sports, feelings about performance, team support, feelings
about one’s body, and feelings about eating.

Both instruments showed acceptable reliability. The EAT 26 included 26 items and yielded a reliability value of .76. The six factors in the ATHLETE questionnaire
demonstrated the following reliability values: feelings about being an athlete included five items with a reliability of .71, athlete’s body and sports
included 12 items with a reliability of .87, feelings about performance included seven items with a reliability of .67, team support included four items with
a reliability of .73, feelings about one’s body included six items a reliability of .85, and feelings about eating included four items with a reliability of
.85.

Procedures
The researchers first obtained Human subjects approval from the IRB before conducting the study. The questionnaire was distributed to the participants, and it contained
the demographic section of the questionnaire, the EAT 26, and the ATHLETE questionnaire. The questionnaire was given to volunteer female athletes at a Midwestern university.
A volunteer female athlete served as the monitor and distributed the questionnaires. The study was conducted in the absence of the coach and the researchers so that
the participants would not feel any coercion to participate in the study. The consent information for the participants was included at the beginning of the
questionnaire. The consent information explained that participating in the study was totally voluntary and that by completing the questionnaire, the participant
was giving consent to participate in the study. The questionnaire was completed anonymously and since there were no signed informed consent it was not possible
to identify individuals who participated in the study nor those whose scores indicated they were at risk of an eating disorder. Due to the sensitive nature
of the study, all participants were provided with referral information to their school’s health center and the crises hotline center, in case they realized
they were at risk of acquiring an eating disorder.

Statistical analysis
The data was entered into SPSS program – PASW Statistics 18. Reliability test for the EAT 26 and the ATHLETE questionnaire was analyzed. Descriptive statistics
were analyzed for the EAT 26. Those who scored EAT 26=20 were considered at risk of having an eating disorder. ANOVAs were computed to compare the means
of EAT 26 by year in school, age, weight, and sport participation. Correlations were completed between the EAT 26 and the factors of the ATHLETE questionnaire.

Results

There were 56 total participants who responded to the questionnaire. Frequencies were completed for EAT 26. If the participant scored EAT 26=20, then they were
considered at risk of having an eating disorder. Results showed that 8 female athletes, (14.3%) scored a 20 and above and were thus considered at risk of
having an eating disorder. The EAT 26 mean was 7.9 and standard deviation was 7.6. Figure 1 shows details of how the participants responded to the EAT 26.

ANOVAs were used to compare the means of EAT 26 by classification year, age, weight, and sports participation. Only age showed a significant difference in
means for the EAT 26. Further, Cross tabs were completed between those who had EAT26=20 and age. Results showed all of the 8 participants who had EAT 26=20
were 19 years of age.

Descriptive statistics were conducted on how the female athletes performed on the ATHLETE questionnaire, which can be seen in Table 1. Pearson correlation
was conducted to see whether there was a relationship between EAT 26 and ATHLETE questionnaire factors.
These four factors in the ATHLETE questionnaire demonstrated significant Pearson correlation values with EAT 26: feelings about body and sports with a correlation
of -.53, feelings about performance with a correlation of -.51, feelings about your body with a correlation of -.50, and feelings about eating with a correlation
of -.31. These two factors in the ATHLETE questionnaire did not demonstrate significant Pearson correlation values with EAT 26: feelings about being an
athlete, and team support. Table 2 shows details about correlations between EAT 26 and the ATHLETE questionnaire factors.

Discussion

This study found 14.3 % of female athletes were considered at risk of having an eating disorder. This study also reported that everyone found to have an
eating disorder was 19 years old. The ATHLETE questionnaire showed that there were some significant negative correlations between the EAT 26 score and participant’s
feelings about their body, feelings about sports, feelings about performance, and feelings about eating. The negative correlations meant that the more the
participants scored high on their feelings about their body, sport, performance, and eating, the less they scored on the EAT 26, indicating they did not have
an eating disorder.

Two of the factors in the ATHLETE questionnaire dealt with body image; the athlete’s body and sports, and feelings about one’s body. Both factors
had a significant negative correlation with EAT 26 scores. This indicated that the female athletes’ who scored high on the athlete’s body and sports,
and feelings about one’s body were likely to score low on the EAT-26. Hence, indicating they were not likely to be at risk of an eating disorders.
This finding concurs with the study by (2), which contended that body image dissatisfaction is the strongest predictor of eating disorder symptoms.

A study done (6) stated that sport-related pressures such as weight limits, teammates’ eating-related behaviors, judging criteria, revealing uniforms,
and coach expectations have been suggested as potential risk factors for an athlete to develop an eating disorder. Our study found that team support and
feelings about being an athlete did not have a relationship with eating disorders. Another study done by (10) stated that families, peers, and coaches can have
a major effect on female athletes. Our study did not show that pressures from the participant’s families, peers, and coaches had any effect on the athlete
and eating disorders.

This study found that ‘feelings about performance’ in the ATHLETE had a significant negative correlation with the EAT 26 total. This indicated
that the more the athletes felt good about their performance in sports, the less likely they were at risk of an eating disorder. This finding concurs with
(1) study that stated that negative moods such as anxiety and perfectionism were related to disordered eating in female athletes.

In the current study, all participants who scored EAT 26=20, were 19 years old, and were either sophomores or juniors in school. There were no freshman
or seniors found to have a risk of an eating disorder. This indicates that the female athlete participants felt more pressure or problems with their eating
in the middle of their college years. This finding concurs with the study by (2), which stated that eating and dieting problems in college freshman women
was fairly stable across the first year of college. The current study suggests that the female athletes develop some eating disorder as they try to lose weight
in the sophomore year and stabilize by the fourth year. More research is needed on eating disorders of female athletes through the four college years.

Since the participants is this study was were nearly all Caucasian, this study may have found higher levels of disordered eating concerns than a more diversified
sample. Future similar studies can build on this study by having a larger proportion of other ethnicities. In addition, future similar studies can have a wider range
of sport, especially sports where the athletes’ uniforms for competition are more revealing such as swimming, dance, and gymnastics.

Conclusion

This study shows that eating disorders are prevalent among female athletes. Some factors that have a relationship with eating disorders include feelings
about their body, sports performance, and eating. This study also shows that feelings about being an athlete such as being competitive and team support did
not show much relationship with eating disorders.
This study makes an important contribution in understanding females and eating disorders, as well the factors that may have a relationship in causing eating
disorders in female athletes.

Application to Sport

Eating disorders are still an issue of concern among female athletes. This study reveals that the more female athletes felt good about their body, sports,
performance, and eating, the more likely they would not have an eating disorder. Feelings about an athlete like being competitive and team support did not show
much relationship with eating disorders. To keep away from disordered eating, female athletes ought to have positive inner feelings about themselves.

Sports participation among college females should be encouraged because this will improve their ‘feelings about their body’ and in turn make
them less at risk of getting an eating disorder. Participation in sports activity can be a healthy and enjoyable experience that can enhance self-worth and self-image
in female athletes (12). Since body image dissatisfaction is the strongest predictor of eating disorder symptoms (2), then body image holds the most promise as a
focus for prevention programs of eating disorder among college female athletes.

Disordered eating prevention efforts offered by college counseling centers for female athletes should focus on promoting students’ acceptance of their own
bodies. Such efforts will counteract the media influences that propagates the extremely ‘thin ideal’ that is unattainable by most normal female
athletes. A school-based sport centered program can be useful in deterring females from disordered eating (3). For those working with athletes, they should avoid
equating thinness to sport performance. They should be encouraged to become more knowledgeable and responsible regarding the critical role of healthy eating
and nutrition in female athletes. Such knowledge will equip them to play a significant role identifying, managing, and preventing eating disorders among female athletes
and increase prospects of a positive sport experience for female athletes. Female athletes ought to be encouraged to regard their health first before sports performance.
Consequently, the International Olympic Committee (IOC) emphasizes an athlete’s health rather than weight and body composition (12).

Acknowledgements

Many thanks to the anonymous volunteer female athletes who agreed to participate in this study.

References

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2. Cooley, E., & Toray, T. (2001). Disordered Eating in College Freshman
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3. Elliot D, Goldberg L, Moe E, et al. (2004). Preventing substance use and
disordered eating: Initial outcomes of the ATHENA program. Arch Pediatric Adolescent
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6. Greenleaf, C., Petrie, T., Reel, J., Carter, J. (2010). Psychosocial risk
factors of bulimic symptomatology among female athletes. Journal of Clinical
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7. Haase, A.(2011). Weight perception in female athletes: association with
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athletes: differences in team and individual sports. Journal of Clinical Sports
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9. Hinton, P. S., & Kubas, K. L. (2005). Psychosocial Correlates of Disordered
Eating in Female Collegiate Athletes: Validation of the ATHLETE Questionnaire.
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continuum in elite high- intensity sports. Scandinavian Journal of Medicine
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14. Torstviet, M., Rosenvinge, J., & Sundgot-Borgan, J.(2008). Prevalence
of eating disorders and the predictive power of risk models in female elite
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Figures and Tables

Fig 1- Eat 26 Performance

Figure 1

Legend: Figure 1 shows frequencies of the EAT 26 totals for the female athletes,N=56. If the participant scored EATS 26=20 then they were considered at risk
of having an eating disorder. Figure 1 shows that eight participants (14.3%) had EAT 26=20.

 

Table 2 – Descriptive Statistics of the ATHLETE Questionnaire

Legend: Table 2 shows the ATHLETE questionnaire which was used to inquire
some factors that may relate with eating disorders among athletes. The ATHLETE questionnaire
has six factors. Table 2 lists the six factors, sample questions on each factor,
as well as the descriptive statistics for the ATHLETE questionnaire.

Factors of the ATHLETE questionnaire Sample Question on the ATHLETE QUESTIONNIARE No of Items Total Possible Mean SD
Feelings about being an athlete I cannot imagine what I will be like when I am no longer competing
5
25
16.3
3.5
The athlete’s body and sports I would be more successful in my sport if my body looked better and I
often wish I were leaner so I could perform better
12
60
41.1
9.4
Feelings about performance No matter how successful I am, I never feel satisfied and my parents expect
more of me athletically than I do for myself
7
35
22.8
4.9
Team support It is hard to get close to my teammates because we are constantly competing
against each other
4
20
16.9
2.4
Feelings about one’s body My friends (non-athletes) make me feel I am too fat
6
30
25.2
4.2
Feeling about eating I feel uncomfortable eating in front of my friends
4
20
17.6
4.3

 

Table 3- Correlations between EAT 26 and the ATHLETE questionnaire
Legend: Table 3 shows the Pearson correlation values between EAT 26 and
the ATHLETE questionnaire factors. These four factors in the ATHLETE questionnaire
demonstrated significant Pearson correlation values with EAT 26; feelings about
body and sports; feelings about performance; feelings about your body; and feelings
about eating. These two factors in the ATHLETE questionnaire did not demonstrate
significant Pearson correlation values with EAT 26; feelings about being an
athlete, and team support.

Factors of the ATHLETE questionnaire Pearson Correlation
With
EAT 26
Feelings about being an athlete .139
The athlete’s body and sports -.530**
Feelings about performance -.507**
Team support .127
Feelings about one’s body -.502**
Feeling about eating -.313*

** .01 correlation is significant at the .01 level
*.05 correlation is significant at the .05 level

2016-10-20T14:59:00-05:00November 15th, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Management, Sports Studies and Sports Psychology, Women and Sports|Comments Off on Female Athletes and Eating Disorders
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