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.

References

1. Alaranta, A., Alaranta H., Holmila, J., Palmu, P., Pietila, K., & Helenius I.. (2006). Self-reported attitudes of elite athletes towards doping: Differences
between type of sport. International Journal of Sports Medicine, 27, 842-846.

2. Al-Kandari, F., & Vidal, V. L. (2007). Correlation of the health-promoting lifestyle, enrollment level, and academic performance of college of nursing
students in Kuwait. Nursing & Health Sciences, 9(2), 112-119.

3. American College Health Association. (2002). Healthy Campus 2010: Making it happen. Baltimore, MD: American College Health Association.

4. Ayotte, B. J., Margrett, J. A., & Hicks-Patrick, J. (2010). Physical activity in middle-aged and young-old adults: The roles of self-efficacy, barriers,
outcome expectancies, self-regulatory behaviors and social support. Journal of Health Psychology, 15(2), 173-185.

5. Behrens, T. K., & Dinger, M. K. (2003). A preliminary investigation of college students’ physical activity patterns. American Journal of Health
Studies, 18(2/3), 169-172.

6. Best, J. R. (2010) Effects of physical activity on children’s executive function: Contributions of experimental research on aerobic exercise. Developmental
Review, 30(4), 331-351.

7. Boyle, J. R., & LaRose, N. R. (2008). Personal beliefs, the environment and college students’ exercise and eating behaviors. American Journal
of Health Studies, 23(4), 195-200.

8. Cardinal, B., Tuominen, K., & Rintala, P. (2004). Cross-cultural comparison of American and Finnish college students’ exercise behavior using trans
theoretical model constructs. Research Quarterly for Exercise and Sport, 75(1), 92-101.

9. Centers for Disease Control and Prevention. (2007). Recommended Physical Activity. Department of Health and Human Services U.S. Physical Activity Statistics.
Retrieved from http://apps.nccd.cdc.gov/PASurveillance.

10. Corbin, C.B. (2002). Physical education as an agent of change. Quest, 54, 182-195.

11. Craig, C. L., Marshall, A. J., Sjöström, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., Pratt, M., Ekelund, U., Yngve, A., Sallis, J. F., &
Pekka, O. J. A. (2003). International Physical Activity Questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise, 35(8):1381-1395

12. Dart, L., & Davis, M. (2008). Vigorous physical activity patterns among college students. TAFCS Research Journal, 1(1), 22-24.

13. Fox, C. K., Barr-Anderson, D., Neumark-Sztainer, D., & Wall, M. (2010).
Physical activity and sports team participation: Associations with academic outcomes in middle school and high school students. Journal of School Health,
80(1), 31-37.

14. Grespo, G. J., Smit, E., Andersen, R. E., Carter-Pokras, O., & Ainsworth, B. E. (2000). Race/ethnicity, social class and their relations to physical inactivity
during leisure time: Results from the Third National Health and Nutrition Examination Survey, 1988-1994. American Journal of Preventive Medicine, 18, 46-53.

15. Gyurcsik, N. G., Bray, S. R., & Brittain, D. R. (2004). Coping with barriers to vigorous physical activity during transition to university. Family
& Community Health, 27, 130-142.

16. Isaac, S., & Michael, W. B. (1995). Handbook in research and evaluation (3rd ed.). San Diego, CA: Educational and Industrial Testing Services.

17. Keating, X. D., Castelli, D., Castro-Pinero, J., & Guan, H. (2011). University student meeting the recommended standards of physical activity and
body mass index. The ICHPER-SD Journal of Research, 6(1), 20-26.

18. Keating, X. D., Guan, J., Haung, Y., Deng, M., Wu, J., & Qu, S. (2005). A cross-culture validation of the stages of exercise behavior change scale.
European Physical Education Review, 11(1), 71-83.

19. Laure, P., & Binsinger, C. (2009). L’activité physique et sportive régulière: Un déterminant des résultats
scolaires au collège. (French). Science & Sports, 24(1), 31-35.

20. Marquez, D. X., & McAuley, E. (2006). Gender and acculturation influences on physical activity in Latino adults. Annals of Behavioral Medicine, 31(2),
138-144.

21. McArthur, L. H., & Raedeke, T. D. (2009). Race and sex differences in college student physical activity correlates. American Journal of Health
Behavior, 33(1), 80-90.

22. Mirowsky, J. (2011) Cognitive decline and the default American lifestyle. Journal of Gerontology series B Psychological Sciences, Social Sciences,66, s1: i50-58.

23. National Association for Sport and Physical Education. (2010). The shape of the nation: The status of physical education programs in the USA. Reston,
VA: Author.

24. Patton, J. D. (1999). Fitness in flux. Athletic Business, 23(4), 51–52,54–56.

25. Prochaska, J. O., & DiClemente, C. C. (1992). The transtheoretical approach. In J. C. Norcross & M. R. Goldfried (Eds.), Handbook of psychotherapy
integration (pp. 300–334). New York: Basic Books.

26. Prochaska, J. O., Velicer, W. F., Rossi, J. S., Goldstein, M. G., Marcus, B. H., Rakowski, W. Fiore, C. Harlow, L. L., Redding, C. A., Rosenbloom, D.,
& Rossi, S. R. (1994). Stages of change and decisional balance for twelve problem behaviors. Health Psychology, 13, 39-46.

27. Rashad, I., & Grossman, M. (2004). The economics of obesity. Public Interest, 156, 104-112.

28. Rhodes, R. E., Blanchard, C. M., Courneya, K. S., & Plotnikoff, R. C. (2009). Identifying belief based targets for the promotion of leisure-time
walking. Health Education and Behavior, 36, 381-393.

29. Rhodes, R. E., Fiala, B., & Conner, M. (2009). A review and meta-analysis of affective judgments and physical activity in adult populations. Annals of
Behavioral Medicine, 38(3), 180-204.

30. Simons-Mortons, B., Eitel, P. & Small, M. L. (1999). School physical education: Secondary analysis of the school health policies programs study.
Journal of Health Education, 30, s21-s27.

31. SPSS. (2009). Version 18.0 for Windows. SPSS, Incorporated, Chicago, II.

32. Staten, R. R., Miller, K., Noland, M. P., & Rayens, M. K. (2005). College students’ physical activity: Application of an ecological perspective.
American Journal of Health Studies, 20(1/2), 58–67.

33. Stevens, T. A., To, Y., Stevenson, S. J., & Lochbaum, M. R. (2008). The importance of physical activity and physical education in the prediction
of academic achievement. Journal of Sport Behavior, 31(4), 368-388.

34. Suminski, R. R., Petosa, R., Utter, A. C., & Zhang, J. (2002). Physical activity among ethnically diverse college students. Journal of American College
Health. 51, 75-80.

35. Tomporowski, P. D., Davis, C. L., Miller, P. H., & Naglieri, J. A. 2008). Exercise and Children’s intelligence, cognition, and academic
achievement. Educational Psychology Review, 20(2), 111-131.

36. Troiano, R. P., & Flegal, K. M. (1998). Overweight children and adolescents: Description, epidemiology, and demographics. Pediatrics, 101, 97 –504.

37. U.S. Department of Health and Human Services. (2001). The Surgeon General’s call to action to prevent and decrease overweight and obesity. Washington DC:
U.S. Government Printing Office.

38. U.S. Department of Health and Human Services. (2009). Physical activity guidelines for Americans: 2008 physical activity guidelines for Americans summary.
Retrieved from http://www.health.gov/PAGuidelines/guidelines/summary.aspx

39. United States Department of Health and Human Service. (2010). Healthy people 2010. Retrieved from http://www.healthypeople.gov/document/tableofcontents.htm

40. Vickers, K. S., Patten, C. A., Bronars, C., Lane, K., Stevens, S. R., Croghan, I. T., & Clark, M. M. (2004). Binge drinking in female college students:
The association of physical activity, weight concern, and depressive symptoms. Journal of American College Health, 53(3), 133-140.

41. Zizzi, S., Ayers, S, Watson, J., & Keeler, L. (2004). Assessing the Impact of New Student Campus Recreation Centers. Journal of Student Affairs
Research and Practice, 41(4), 588-630.

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

Analysis of the Reasoning Behind the Firings of Mike Leach and Jim Leavitt

ABSTRACT

This paper is a thematic analysis of press coverage surrounding the firings of coaches Mike Leach and Jim Leavitt from the 2010. In an effort to understand
the rationale behind their dismissals, this quantitative research uses attribution theory as the basis of the analysis. While the schools stated the firings were
due to the way these two coaches questionably handled a player, the press coverage displayed other reasons. This paper contextualizes the rationale behind their
firings in an effort to explain the current high stakes of major college football.

INTRODUCTION

There are very few professionals with less job security than major college football coaches. Entering the 2010 season, there were 24 new coaches in the
Division I Football Bowl Subdivision (FBS). That turnover represented 20% of all FBS programs. Two of the 24 coaches who lost their jobs following the 2009
season generated national attention from their relatively regional programs. Both Mike Leach of Texas Tech and Jim Leavitt from South Florida lost their
jobs amid controversy and intensive media coverage centering on their off-field actions with some of their players. Prior to the firings, both coaches were
hailed as successful leaders. Issues surrounding their departures cast doubt upon the official reasons stated by the universities. When perceived reality
contradicts public discourse, there is a tremendous opportunity for public relations scholarship. This paper uses thematic analysis of news coverage to demonstrate
how the meanings the universities tried to construct for these firings were essentially refuted in the sports press.

Relevance of Research

The rationale behind the firings of these coaches, beyond what was publicly stated by their employers, is an important topic for researchers
to analyze for multiple reasons. First, as it relates to the growing field of sport communication, it provides content that focuses on the expansive growth
of the college football industry, the salaries provided to coaches, and the overall investment schools are willing to make to be successful on the football
field. Additionally, this research is an important topic as it relates to the fields of mass media, public relations, and journalism. College football is
at such a prominent level in terms of revenue, advertising, and marketing that it shares an escalating symbiotic relationship with the mass media. This media
coverage helps raise the financial stakes of those schools participating at the highest level of college football. The sport has always had this relationship
but since the inception of the Bowl Championship Series (BCS) in 1998, the monetary rewards have risen exponentially. The BCS is the system that selects 12 schools
that participate in the top six post-season bowl games. Those 12 slots are highly coveted since they bring the most money and media attention to the participating
schools (Dunnavant, 2004). The power of the BCS has escalated to a point where politicians are now questioning its possible violation of anti-trust laws (Staples,
2010). This past bowl season, the six conferences that received an automatic bid to a BCS game garnered $145.2 million in revenue from the BCS. That sum
is compared to the $24.7 million awarded to the five conferences that didn’t receive an automatic BCS bid (Murphy, 2011). The manner in which college football
has become such an integral part of the mass media landscape makes any controversy that occurs in the industry worthy of address by academic researchers (Oriard,
2009).

College Football and Higher Education

The rise in college sports, in terms of revenue and media prominence, creates a public relations conundrum. Under the traditional educational perspective,
still touted in their marketing materials, colleges and universities have the primary mission of educating young people and preparing them for adult life.
For the select few student-athletes competing in the high-visibility sports at the Division I level, athletics is still presented as just another outlet
that prepares them physically and mentally for adulthood. However, the financial investments schools are making in their sports programs put this traditional
model in jeopardy. Now, athletes are more than students; they are necessary participants in the school’s profit motives (Sperber, 2000).

The role of the coach is also different in the evolving collegiate sports model. With the amount of money major colleges invest in football and the turnover
rate for head coaches, it is difficult to argue that winning isn’t the coach’s first priority (Stein, 2004). Because the multi-year contracts top coaches command
typically do not permit termination just for losing, a pretext may be needed to fire a coach. While schools are often forced to fire losing coaches because
of disgruntled fan bases, it remains a difficult financial decision. For an academic institution, it would appear that firing a coach for breaking rules
should be an easy decision to make. However, there are a number of college coaches who blatantly violated university or NCAA rules but still kept their jobs. Having
a rule-breaking coach remain on staff appears to violate the principles of an institution of higher learning. Yet, on the football and basketball sidelines
there remain a number of coaches almost impervious to being fired. There must be an underlying reason some schools are willing to be more lenient with rule-breaking
coaches.

LITERATURE REVIEW

From a theoretical perspective, research into the rationale behind the firings of Leach and Leavitt relates to attribution theory. An expert in attribution
theory, Bernard Weiner (1985), often wrote about the human characteristic in which people have a driving need to search for the cause of events. This theory
relates to the persuasive messages used to explain how people account for the actions of others (Woodward & Denton, 2009). Attribution theory is storytelling
and the belief that a persuader tries to figure out how certain behaviors or messages will be perceived by others. The resulting story communicated by persuaders
best suits their needs and goals (Coombs, 2007). Attribution theory relates to public relations and crises communication since responses made by an organization
during the time of crisis will frame the public perception and impact its overall reputation (Heath, Toth & Waymer, 2009). After researching the influence
Word of Mouth Communication (WMOC) has on brand recognition, Laczniak; DeCarlo and Ramaswami (2001) concluded that poor WMOC significantly devalues the public’s
perception of the brand.

Even though there is a relationship between attribution theory and crisis communications, scholarly analysis connecting the theory to sports-related issues is almost
non-existent. In fact, there is almost no academic research into the broad topic of sports coaches being fired. Most of the literature deals with the impact,
in terms of wins and losses when a coach is dismissed during the season (Koning, 2003; Frick, Barros & Prinz 2010; White, Persad & Gee, 2007). One case
addressed by a scholar was the dismissal of basketball coach Jim Valvano by North Carolina State University in 1990. Michael Selvaggi (1993) used legal
analysis to examine the lawsuit filed by the university asserting that it had proper grounds to fire Valvano because of the poor academic progress of his
players. This research determined that this was the first time a school had fired a coach because of a stipulation in his contract regarding players’
academic progress.

Legal scholar Martin J. Greenberg (1991) noted that there is no other business in which contracts are broken more often than the sports industry. Since there
is so much at stake in terms of revenue and publicity, colleges and universities are in a precarious situation when administering punishment for coaches and
players who break rules. Keeping a coach or player out of action because of a violation could endanger a school’s chance of winning a game. That in
turn would lead to economic ramifications (Stangel, 2000).

Based on the cases of Leach and Leavitt and the possibility that they were both fired for other reasons than stated by their employers, this paper will
look to connect attribution theory to each controversy. Based on the research of Laczniak; DeCarlo and Ramaswami (2001), these controversial cases impacted
the overall brand value for both Texas Tech and South Florida. The following research questions will be used to better rationalize the firings of Leach and
Leavitt.

RQ1: Were there other reasons for the firings of Leach and Leavitt besides the rationale provided by their employers?

RQ2: How do the cases of Leach and Leavitt compare to other BCS coaches who kept their jobs after violating NCAA rules during the same time frame?

METHOD

This qualitative research paper is a case study of the firings of both Leach and Leavitt in an effort to better explain the reasoning behind their dismissals.
A case study is expected to “catch the complexity of a single case” by “coming to understand its activity within important circumstances”
(Patton, 2002, p. 297). By using thematic analysis of press accounts, this paper will argue that the universities reasons for the firings of Leach and Leavitt
were not entirely supported by the media reports.

Since college football is still predominantly a regional sport, as noted by Cave and Crandall (2001), this research paper relies heavily upon the relevant
local media outlets that cover Texas Tech and South Florida football in-depth. Those outlets include the Dallas Morning News, Lubbock Avalanche-Journal, and
Tampa Tribune. In order to present a national perspective to this analysis, stories from noted publications such as ESPN.com, USA Today, Sports Illustrated
and The New York Times were also used. These media outlets in particular cover college football in depth and often include critical coverage of off-the-field
issues. Also, these media outlets are highly regarded as the premier sources of national sports journalism.

The research obtained for this paper was a result of a thorough LexisNexis search using the terms Mike Leach, Jim Leavitt, Texas Tech football, and South
Florida football. Due to the fact that both coaches received little national media attention for their programs prior to the 2008 season, the search was
limited to the time frame from 2008 to early 2010. This allowed for the collection of press accounts that detailed the rise of both coaches and then the ensuing
fallout from their crises that occurred in early 2010.

The resulting press accounts served as the data for a thematic analysis of the crises surrounding Leach and Leavitt. This method of collecting data enables
researchers to combine and catalogue related patterns into sub-themes (Aronson, 1994). This method enables researchers to search through data to identify any
recurrent patterns. Themes are then linked together to find similar meetings and patterns. Anne Golden (2003) also utilized a thematic analysis of the sports
media when she examined the differences in the press coverage of the 2002 Winter Olympics and the 2002 Winter Paralympics. Relating to the method used for this
research, Mirca Madianou (2002) conducted a thematic analysis of television news coverage to investigate the coverage of how Greeks are identified in the
media.

To contextualize possible motives underlying the schools’ decision-making, this paper will also compare the cases of Leach and Leavitt to four other contemporary
coaches who broke rules (during the same time frame as the incidents surrounding Leach and Leavitt) established by their employers and the National Collegiate
Athletic Association (NCAA). The four coaches examined in this research: Pete Carroll, Jim Tressel, Urban Meyer, and Nick Saban are universally regarded by
the sports media as the top college coaches in the country. Through the use of media reports, this element of the thematic analysis will exhibit the reasons
that these other rule-breaking coaches were able to maintain their employment during the time frame of the study.

CASE STUDIES

Mike Leach

Mike Leach was the Texas Tech head football coach from 2000 to 2009. His Red Raiders went 84-34 with nine bowl game appearances (5-4) because of their pass-centric
offense that featured the 11 offensive players on the field lining up further apart from each other than what was commonly used by other coaches. Leach’s
success culminated with the 2008 campaign which brought the school its first ever 11-1 season that included a win over top-ranked Texas and a share of the
Big 12 Conference South division title. He was named Co-Coach of the Year in the Big 12, but the Red Raiders were left out of a BCS bowl berth because of
a little known tie-breaking rule. Texas and Oklahoma represented the Big 12 in the BCS while Texas Tech played in the lesser Cotton Bowl, where it lost
to Mississippi.

Oklahoma wound up losing the National Championship Bowl against Florida. Not making a BCS bowl game is a major issue since the Big 12, like the Big East
where South Florida resides, gives a bigger share of the game’s profit to the schools that appear in one of the top post-season games. Other conferences
divide BCS bowl money evenly among all members. This is not the case for the Big 12 and Big East. Therefore, there is a tremendous financial incentive to
be a conference representative in a BCS bowl game for a Big 12 and Big East squad (Warmbroad, 2004).

During his career in Lubbock, Leach’s name was often mentioned with coaching vacancies at other larger programs. Leach stayed with the Red Raiders as he
received a pair of contract extensions. In 2008, he signed a five-year extension worth $12.7 million. This contract gave Leach unprecedented clout at the school
(Leach, 2009).

Crisis: Leach places player in shed

Leach’s crisis began in late December 2009 when Texas Tech suspended him after allegations arose that earlier in the month he had an injured player
sent to an equipment shed as a form of punishment. The player, Adam James, the son of ESPN announcer and former NFL running back Craig James, had suffered
a concussion and was unable to practice. This unconventional move by Leach became a newsworthy topic both locally in Texas and nationally (Dodd, 2009). The ensuing
media hype continued to rise when Leach refused to apologize for his actions and James became the spotlight of local and national sports media (Lubbock Avalanche-Journal,
2009). In just a matter of one season, in the eyes of the national and local media, Texas Tech went from being the upstart program that played a compelling
wide-open offense to the school that employed a coach who humiliated an injured player. This forced the school into an on-going crisis communication phase.
Ultimately, the organization’s crisis communication management would use public relations techniques to attempt to protect the institution’s reputation.

Texas Tech officially fired Leach on December 30th. The firing came one day before Leach was due a substantial $800,000 bonus and a guaranteed $1.7 million
salary for the upcoming season (ESPN, 2009). The amount of money paid to Leach was far more than Texas Tech had spent on coaches in the past. However, it is
similar to the salaries of the major national coaches also in the Big 12. For example, Mack Brown of Texas received $5 million per year and Bob Stoops of
Oklahoma received $4.2 million per year (Rohode, 2010).

After Leach was fired he went on the media offensive criticizing the school and its athletic department. He claimed that the school “conspired”
to fire him because of the $800,000 bonus he was due. In court documents, his lawyers argued “TTU would obtain the benefits of Leach’s performance
but chisel him out of his compensation” (Associated Press, 2010). He also said the animosity between him and the school was a result of the contract negotiations
he went through the previous year (Evans and Thamel 2009). Since Texas Tech had such a productive 2008 season going 11-2, Leach’s name was constantly
attached to openings at large programs including Auburn and Washington. Subsequently, in an effort to keep Leach in Lubbock, Texas Tech was forced to renegotiate
the coach’s contract. Larger football schools must commonly increase incentives in order to keep a head coach if he wins. Texas Tech was essentially in an unfamiliar
situation from a financial perspective to be bidding against itself to keep Leach.

Leach said of his relationship with Texas Tech administrators, “It’s shocking to me that there’s people working together that were trying to
get me fired last year after an 11-1 regular season,” Leach said. He added: “I believe in everybody working together and that together we could all
accomplish great things together, but then I discover that’s not the case and that the very foundation is crumbling out from under me. Betrayal’s
really hard” (Evans and Thamel, 2010). Providing support to Leach’s claims that the school’s top administrators did not want him running the
program regardless of the James situation, the Dallas Morning News acquired internal emails from 2008 to 2010 between Tech administrators, primarily Chancellor
Kent Hance and athletic director Gerald Myers, and athletic booster Jim Sowell of Dallas during Leach’s contract negotiations. The emails display a general
lack of support for Leach even though the school was going to offer him a major pay raise. One message had Sowell recommending to Hance and Myers that Tech
should stand firm in its negotiations with the coach. “You should sign a contract that would not cost us too much to fire him,” Sowell wrote.
“He has to have a big buyout. He has shown no loyalty” (Dallas Morning News, 2010). Leach’s attorney also stated that reports show that Hance
informed an attorney investigating James’ claims against Leach that they were “too milk toast” and “too mild” (USA Today, 2010).

Leach also contended that the celebrity status awarded to James because of his father’s NFL career and status as an ESPN commentator accelerated
the firing process. (Evans and Thamel, 2010). Texas Tech officials denied these claims and fired Leach with cause because of his insubordination and lack of
assistance during the James situation and the resulting investigation (Carver, 2010). The back-and-forth claims eventually led Leach to sue the university
on a number of claims. A district judge ruled that Leach could sue on one count of breach of contract. To date both sides are still entangled in a legal battle
(Blaney, 2010).

Jim Leavitt

Leach and Texas Tech’s national rise almost paralleled that of Jim Leavitt and the University of South Florida. Leavitt was ostensibly the godfather of
Bulls football. He coached at the school from 1997 to 2009. Beginning in 1997, South Florida was a I-AA program that eventually joined I-A’s Conference
USA in 2003. After just two seasons in the conference, South Florida made another significant jump, this time to the Big East and its BCS conference status. Once
again Leavitt was at the helm as the USF program grew and won simultaneously. South Florida made five straight post-season games from 2005 to 2009.

The peak of Leavitt’s career and the height of South Florida football came in September 2007 when the program made its first-ever appearance in the
Top 25. As the Bulls kept winning that season, they made it to No.2 in the BCS rankings. Only Ohio State had a better position than the Bulls. South Florida
lasted in that spot only one week as it fell to conference rival Rutgers in a nationally televised contest. Two more losses came in ensuing games as Leavitt’s
squad eventually dropped out of the rankings. The Bulls finished the season 9-4 with a loss to Oregon in the Sun Bowl.

Even with the late season dry spell, Leavitt was rewarded with a contract extension that would pay him $12.6 million from 2008 to 2014 (USA Today, 2010). Much like
Leach, other major programs also courted Leavitt prior to his signing this contract extension. Schools such as Alabama, Arizona State, Kansas State, and Miami were
reportedly interested in Leavitt’s services (Donahue, 2006). Leavitt often cited his allegiance to the university as the main reason he stayed in Tampa.
His allegiance was rewarded with a new contract, an uncommon policy for the school that only a few years prior had become a Division I program.

Crisis: Leavitt has altercation with player

The Jim Leavitt case mirrors Leach in many ways. Leavitt coached USF from 1997 to 2009 to a 94-57 record. Like Texas Tech, USF never made a BCS bowl appearance
even though it came very close. To stay competitive in an extremely difficult market, USF gave Leavitt a raise to keep him as its football coach. This raise
came just before a controversial incident, as was the case with Leach. On November 21, 2009, during halftime of a game against Louisville, Leavitt apparently struck
one his players, sophomore Joel Miller, a claim that Leavitt denied to school officials. Fanhouse.com first reported the story of the halftime incident (McMurphy,
2010). Afterwards, Leavitt responded: “It’s absolutely not true. It’s so wrong. It’s so far out there. I’m very disappointed something like this would
be written” (Auman, 2009). Leavitt contended that he was trying to raise the spirits of an upset player.

When first contacted by the media following the breaking story, South Florida representatives neither supported nor criticized Leavitt. “The University
of South Florida is aware of the story and will review the matter promptly,” said Michael Hoad, USF vice president for communications. “We’re committed
to ensuring due process for everyone involved. To ensure fairness, the university doesn’t comment during a review” (Auman, 2009).

An investigation followed and it was concluded that Leavitt grabbed Miller by the throat, slapped him in the face and then lied about it (ESPN.com, 2010).
USF made the findings first known to the media through a press release. The investigation conducted by the school also revealed that Leavitt lied to investigators
and had encouraged players and coaches to do likewise. In the wake of the report, Leavitt said he did not hit the player or ask others to lie on his behalf. USF
President Judy Genshaft and athletic director Doug Woolard asked Leavitt to admit to the incident as a result of his momentary loss of control. The coach
refused to do so, saying he was “sticking to his guns.” Just hours after he refused to admit to his misbehavior as stated in the investigation
to the school’s top administrators, Leavitt was fired on January 8, 2010 (Peterson, 2010). In a press conference announcing the firing, “neither
Genshaft nor Woolard took questions and specifics about Leavitt were not discussed” (Fox Sports, 2010).

Financial considerations were also present in the Leavitt firing. ESPN.com reported in January 2010: “Leavitt just finished the second season of
a seven-year, $12.6 million contract extension that calls for a base salary of $800,000 in 2010. The terms of the contract stipulate that if fired with
cause Leavitt is entitled to one month’s base pay, in this case $66,667. If fired without cause, the university would owe him 75 percent of what he’s owed
for the remainder of the contract.”

RESULTS

Table 1. Themes of press coverage surrounding firings of Mike Leach and Jim
Leavitt

Themes of Press Coverage of Leach and Leavitt
1. Coaches are praised for putting their programs on the national stage.2. For the first time, Texas Tech and USF must keep renegotiating contracts
with coaches.
3. Texas Tech and USF get close to BCS game but fail to make it.
4. Focus on Leach and Leavitt immediately goes from praise to their scandals.
5. Firings become national stories as journalists look to explain the situations.

6. Both schools attribute the firings to just the incidents in question.

7. Both coaches were due raises but were fired before they were paid.
8. School administrators characterize both as difficult or odd – other motives
regarding firings emerge.
9. Coaches who get schools to BCS games can encounter multiple offenses
and not lose their jobs.

Even though both Texas Tech and USF in their press conferences and reports to the media stated that the firings were a result of the way the two coaches
handled the players in questions, other motives clearly emerged in the press. The amount of national media coverage regarding these two regionally based coaches
indicates journalists were in search of deeper meanings behind their dismissals. To answer RQ1, the other reasons appear to be financially motivated, along with
administrators from both schools growing discontented with the coaches’ behaviors.

In the Leach case, there is an email trail that clearly displays the displeasure Texas Tech administrators had with giving Leach so much money and prestige.
If Leach brought BCS riches, it’s likely the school would maintain its relationship with him despite its displeasure. Since Leach did not provide the
school with its ultimate goal of being in a BCS game, Texas Tech was unable to take the national criticism it received as a result of Leach’s actions
(Jonsson, 2009). Spencer Hall (2009) wrote” It makes sense in a world where Leach, an oddball among oddballs, finally reaches the limit of tolerance
both on his part and on the part of his bosses in the TTU administration. Leach’s contract negotiations were, to put it politely, contentious. His flirtations
with other jobs were brazen. The university’s patience with his high-profile antics was running low.” The idea that there was more to Leach’s
firing than just his behavior with James was further supported by Magary (2009), “Just last year, he was nearly dropped by the school in the wake of contentious
negotiations. Just as the James saga was likely the last straw for the school to keep Leach around.” Based on attribution theory, Texas Tech explained
Leach’s firing for just one reason, not for the multiple reasons as stated in the media.

This rationale also holds true for Leavitt, a coach without a BCS bowl game to his credit who got a big pay raise right before a controversial incident.
South Florida was unwilling to tolerate national criticism created by a high paid coach that did not deliver the school the coveted BCS prize. As deplorable
as it is for a coach to hit a player, conflicting stories about the incident, including statements by Miller, make Leavitt’s abrupt firing questionable
in its motives (Schad, 2009). Even though Leavitt listened to other job offers, it does not appear that the ill will between him and the school ran as deep
as it did between Texas Tech and Leach. Rather, Leavitt’s biggest mistake was not winning a conference championship prior to the incident with Miller.

		"If his team was coming off a Big East title he might be able to survive 
	  this (for right or wrong), but when his teams routinely fizzled over the second 
	  halves of seasons, and with the way his team was a disaster in the classroom 
	  (with one of the nation’s worst rankings according to the Academic Progress 
	  Report), this wasn’t that tough a call for the university” (College 
	  Football News, 2010)."

Richard Cirminello echoed these sentiments with

 
		"Leavitt had become a caricature in recent years, racing around the 
	field as if he was that team trainer with less than all of his faculties. While 
	it was a cute act when USF was climbing up the ladder in the early days, it 
	stopped being endearing when the program stopped improving. The Bulls peaked 
	in October of 2007, rising to No. 2 in the country. Since then, they’ve 
	gone just 16-14, slipping into the middle of the Big East pack. As a program 
	builder, Leavitt had an epic run. As a program elevator, he appeared increasingly 
	out of his league. The incident involving Miller may have been just the ideal 
	opening the administration needed in order to make a change” (College 
	Football News, 2010)."

This “ideal opening” correlates with attribution theory since it allowed USF to tell a particular persuasive story about Leavitt’s firing
that was in the best interest of its stakeholders.

Comparison of Leach and Leavitt with BCS winning coaches

Around the same time Leach and Leavitt faced intense scrutiny from their employers; several other major coaches were also found to have violated rules. The coaches
used for comparison to address RQ2 are Pete Carroll (USC), Jim Tressel (Ohio State), Urban Meyer (Florida), and Nick Saban (Alabama). The media coverage
of these four coaches demonstrates each repeatedly violated NCAA rules and regulations. However, unlike Leach and Leavitt, these four coaches had success in bringing
their schools to BCS games. Also, these coaches did not lose their jobs after breaking the rules. Based on the research, as it relates to RQ2, there appears
to be a double standard for college football coaches. Winning coaches can withstand a crisis or rules violation unlike those coaches without the same BCS success.

For example, Carroll, the former coach of USC, was able to maintain his job from 2001 to 2009 even though he presided over the program that committed a
number of major NCAA violations. So much so, that in June 2010 the NCAA put USC on a two-year post-season ban while also forcing the program to eliminate
30 scholarships and forfeit a number of wins from 2004 to 2006 (Klein and Wharton, 2010). Most of the illegality of Carroll’s program came during the recruitment
of Reggie Bush.

Noted Los Angeles Times sports columnist Bill Plaschke (2009) criticized Carroll’s tenure and his knowledge of the recruiting illegalities by writing “he
goes from saint to scallywag. Carroll says he didn’t know about the Bush violations. That now seems impossible… …he made $33 million from violations that will
cost his old school its reputation, and folks here will never look at him the same.” Carroll was able to keep his job during a period of time the NCAA
was “troubled” by “the campus environment” that he created at USC (Lev, 2010). The NCAA also criticized USC for disregarding Carroll’s
blatant use of allowing influential visitors access to his team by stating in a critical report of the school “”the institution’s failure to regulate
access to practices and facilities” (Gardner, 2010). Clearly, Carroll’s BCS accomplishments helped insulate him from the immediate and harsh punishment
given to Leach and Leavitt.

Ohio State’s Tressel guided his team to three BCS championships, winning one, during his 10 years in Columbus. Those impressive numbers included five
straight Big 10 conference titles. Because of this success, he was one of the top paid coaches in the country with an annual salary that eclipses $3.7 million
(Berkowitz, 2010). However, Tressel faced scandals several times during his Ohio State tenure. Longman (2007) wrote that both his career first at Youngstown
State and then OSU have been tarnished by a number of issues. “At both colleges, his top quarterback took money from boosters in violation of NCAA
rules. Maurice Clarett, the running back who played a vital role in Ohio State’s national championship in 2002, sits in prison after a sad descent. A number
of other Ohio State players have encountered legal or disciplinary problems since Tressel became head coach in 2001, and his academic record, while improving,
remains mixed.” Longman (2007) also wrote that Ohio State’s athletic director was a “staunch ally” of Tressel. As it relates to Leach,
he certainly was not an ally of top Texas Tech officials.

There was a similar relationship at Florida between Meyer and athletic director Jeremy Foley. Meyer was the recipient in 2005 of a seven-year contract worth
$14 million handed out by Foley (Low, 2009). This salary was a result of Meyer’s two national championships and the highest winning percentage in the BCS. However,
during this time in Gainesville, 27 of Meyer’s players were arrested. The charges varied from larceny, stalking, to assault. The arrests forced Meyer
to defend himself by saying “it’s not a dirty program” (Associated Press, 2010). Tressel was fired by OSU in 2011 and Meyer retired in late 2010.

Alabama’s Saban, a winner of three BCS games and a national championship, encountered scandal in the summer of 2010 when a number of his players were
involved with illegal dealing with agents (Mandel, 2010). Saban did his best to distance himself from the issue, but this followed another scandal where
a number of Alabama players were caught in unauthorized selling of their free textbooks as a result of their scholarships (Miasel and Schlabach, 2010). During
his time at Alabama, Saban has dealt with “text book scandals and felonies” (Brizendine, 2008). While Alabama was forced to vacate 21 wins and placed on
three years-probation, Saban’s job was not in jeopardy as a result (Hooper, 2009).

DISCUSSION

The one-dimensional storytelling via the media conducted by both Texas Tech and South Florida regarding the firings of Leach and Leavitt has a direct relationship
with attribution theory. Since these schools omitted other relevant and significant factors, such as disputes with administrators, uneasiness about renegotiating
contracts, general odd behavior, and poor academic performance by the players, their messages to the media suggest they were doing so to protect themselves
and their stakeholders. These other factors were well documented by journalists.

For Texas Tech and USF, this protection was a manifestation of attribution theory in action. The rationale behind the firings of Leach and Leavitt was
public relations and marketing driven. Texas Tech and South Florida did not want to expand publicly on these other issues and instead focused their messages
on the intolerant behaviors Leach and Leavitt displayed in an effort to perpetuate the image that the schools are institutions of higher learning, not just football
academies. Also, by crafting a public story focused just on the singular activities of Leach and Leavitt, it gave the schools the rationale of firing a coach for
just cause. Texas Tech and South Florida called upon the persuasion techniques of attribution theory to create a story that would have fans, and some journalists,
believe the outcomes of the events were solely a result of the singular actions of both Leach and Leavitt.

These two schools were able to employ their crisis communication techniques of creating a favorable story line because so many media outlets were willing
to carry their message in an effort to gain more content and programming. The addition of ESPN’s Craig James into the story generated even more media
attention. Most of the coverage about the other issues surrounding the firings came from the national outlets. This finding is noteworthy as it underscores
the symbiotic relationship the local Texas and Florida news outlets share with Texas Tech and South Florida. The local media outlets may have shown restraint
in creating critical coverage of these two universities. The exception was the Lubbock Avalanche- Journal that did run a number of pieces illustrating the
problems between Texas Tech administrators and Leach.

In the context of this research, there appears to be a double standard within the highest ranks of college football. Coaches with BCS wins apparently can
withstand a crisis and receive greater support from their employer than those coaches without BCS wins. Unfortunately for Leach and Leavitt, they didn’t
have the same success as the likes of Carroll, Tressel, Meyer and Saban. Relating to the concepts of the attribution theory, a school is unlikely to make public
statements that a coach was able to keep his job because he won BCS games. The school would instead provide other reasons that supported its status as an institution
of higher learning.

CONCLUSIONS

The media coverage surrounding Leach and Leavitt in wake of their scandals demonstrates that the worst action a college coach can do is simply not win
enough. Universities, using the application of attribution theory, are not likely to publicly state this as it would tarnish their overall reputation. However,
it can serve as the foundation for a firing based on another incident that otherwise might not seem related. This idea of using an alternative rationale brings relevance
to this paper’s topic and attribution theory. As part of a school’s crisis communication plan, it might tell a public story that best serves itself
and its stakeholders.

APPLICATIONS IN SPORT

This paper expanded the literature of sport communication to include attribution theory. As previously stated in this paper, attribution theory is not often
included in sports media literature. This paper is one of the few works to introduce attribution theory to sports public relations. A better understanding of this
theory as it relates to sports crisis communication will benefit both academic scholars and professional journalists looking to interpret and contextualize
the issues surrounding the firing of a major college coach. Since schools have so much money riding on the success of their teams, they will continue to dismiss
coaches who do not win enough games in efforts of finding someone who will. Such competition in the industry of higher education that is supposed to both
educate young people and profit from athletic investments will continue to create a constant flow of financial, ethical, and media issues worthy of deeper analysis.

Even though both Texas Tech and South Florida scaled back the amount of money invested in their football coaches, other schools are still pouring millions
of dollars into their programs in search of BCS riches. However, there only a select few games and only half the teams participating in those games can
prevail as the winner. So, there will continue to be more schools that fail in their BCS quest than win. This financial arms race and the adjoining media
coverage should continue to create worthy areas of academic exploration for future researchers. This paper could lead other researchers into examining the
rationale of how and why a football coach was fired by a college or university. As college basketball continues to expand in popularity, similar research could
evolve with that sport as well.

ACKNOWLEDGMENTS

David Dewberry, Yun Xia, Cheryl Moore, Eliot Emert

REFERENCES

  1. Aronson, (1994, Spring). A Pragmatic View of Thematic Analysis. The Qualitative
    Report, Retrieved from http://www.nova.edu/ssss/QR/BackIssues/QR2-1/aronson.html
    Associated Press. (2010, April 17). Mike Leach claims Texas Tech officials
    conspired to fire him. USA Today.
  2. Associated Press. (2010, September 17). Coach Urban Meyer ‘real upset’
    [Web log post]. Retrieved from http://sports.espn.go.com/ncf/news/story?id=5582010
  3. Auman, G. (2009, December 15). USF Bulls coach Jim Leavitt: ‘So wrong’
    to say he hit player. St. Petersburg Times. Retrieved from
    http://www.tampabay.com/sports/college/usf-bulls-coach-jim-leavitt-
    denies-striking-player/1058816
  4. Berkowitz, S. (2010, March 10). Salaries spike for college football assistants,
    successful coaches. USA Today. Retrieved from http://www.usatoday.com/sports/college/football/2010-03-09-coaches-salaries_N.htm
  5. Blaney, B. (2010, October 7). Attorneys await ruling in Leach lawsuit appeal.
    Associated Press. Retrieved from http://www.google.com/hostednews/ap/article/ALeqM5g9o4jcaS7mR0hBu3Ns-F6J1S-NsAD9IN2MRO0?docId=D9IN2MRO0
  6. Brizendine, M. (2008, October 13). Navigating Out of Doldrums: Saban Provides
    Wind for Alabama’s Sail. Bleacher Report. Retrieved from http://bleacherreport.com/articles/68438-navigating-out-of-the-doldrums-saban-provides-wind-for-alabamas-sails
  7. Carver, L. (2010, January 9). Leach lawsuit claims fraud, defamation. Lubbock
    Avalanche-Journal. Retrieved from http://www.redraiders.com/2010/01/09/leach-lawsuit-claims-fraud-defamation/
  8. Cave, M., & Crandall, R. (2001, February). Sports Rights and the Broadcast
    Industry. The Economic Journal, 111 (469), 4-26.
  9. Coble, D. (2008, December 29). Gator Bowl: 30th anniversary punch. Florida
    Times Union. Retrieved from http://jacksonville.com/sports/college/other_college_sports/2008-12-29/gator_bowl_30th_anniversary_punch
  10. College Football News. (2010, January 12). CFN Analysis – Jim Leavitt fired.
    The USF coach gone amid controversy [Web log post]. Retrieved from http://cfn.scout.com/2/937332.html
  11. Coombs, T. (2007, June). Attribution Theory as a Guide for Post-Crisis
    Communication Research. Public Relations Review, 33(3), 135-139.
  12. Dallas Morning News. (2010, January 2). E-mails show rocky relationship
    between Texas Tech and Leach. Dallas Morning News. Retrieved from http://www.dallasnews.com/sharedcontent/dws/spt/colleges/texastech/stories/123109dnspoleachletters.2d4b0ea8.html
  13. Dodd, D. (2009, December 30). Emails in Support of Mike Leach. CBSSports.com.
    Retrieved from http://dennis-dodd.blogs.cbssports.com/mcc/blogs/entry/6270202/19238949
  14. Donahue, K. (2006, November 26). Where does Jim Leavitt want to coach?
    [Web log post]. Retrieved from Rivals.com: http://www.fanblogs.com/south_florida/006785.php
  15. Dunnavant, K. (2004). The 50-Year Seduction: How Television Manipulated
    College Football. NY: Saint Martin’s.
  16. ESPN.com (2009, December 31). Texas Tech fires Leach [Web log post]. Retrieved
    from ESPN.com: http://sports.espn.go.com/ncf/bowls09/news/story?id=4781981
  17. ESPN.com. (2010, January 8). Leavitt fired as South Florida coach [Web
    log post]. Retrieved from ESPN.com: http://sports.espn.go.com/ncf/news/story?id=4807719
  18. ESPN.com (2010, January 11). Lawyers Want Leavitt Reinstated at USF. Retrieved
    from ESPN.com http://sports.espn.go.com/ncf/news/story?id=4815717
  19. Evans, T., & Thamel, P. (2009, December 30). Leach Is Fired Over Treatment
    of Player. New York Times. Retrieved from http://www.nytimes.com/2009/12/31/sports/ncaafootball/31leach.html
  20. Evans, T., & Thamel, P. (2010, January 1). Leach Denies He Mistreated
    Player. New York Times. Retrieved from http://www.nytimes.com/2010/01/01/sports/ncaafootball/01leach.html?_r=1
  21. Fox Sports (2010, January 8). USF coach Leavitt fired amid allegations
    he hit a player. Retrieved from http://msn.foxsports.com/collegefootball/story/South-Florida-Jim-Leavitt-
    fired-010810
  22. Frick, B., Barros, C., & Prinz, J. (2010, January). Analyzing Head
    Coach Dismissals in the German “Bundesliga” with a Mixed Logit
    Approach. European Journal of Operational Research, 1(1), 151-159.
  23. Gardner, T. (2010, June 29). Pete Carroll Rips NCAA Again For Punishments
    Levied Against USC. USA Today. Retrieved from http://content.usatoday.com/communities/campusrivalry/post/2010/06/pete-carroll-rips-ncaa-again-for-punishments-levied-against-usc/1
  24. Golden, A. (2003, Summer/Fall). An Analysis of the Dissimilar Coverage
    of the 2002 Olympics and Paralympics: Frenzied Pack Journalism versus the
    Empty Press Room. Disability Studies Quarterly, 23(3/4). Retrieved from http://dsq-sds.org/article/view/437/614
  25. Greenberg, M. J. (1991, Spring). College Coaching Contracts: A Practical
    Perspective. Marquette Sports Law Review, 1(2), 207-280.
  26. Hall, S. (2009, December 30). The Brief: Mike Leach Fired At Texas Tech
    and What It Means [Web log post]. Retrieved from SB Nation: http://www.sbnation.com/2009/12/30/1225603/mike-leach-texas-tech-fired-cause-terms-effects
  27. Heath, R., Toth, E., & Waymer, D. (2009). Rhetorical and Critical Approaches
    to Public Relations II. New York: Routledge.
  28. Hooper, M. (2009, June 11). NCAA puts Alabama football back on probation,
    vacates wins. Birmingham Weekly. Retrieved from http://bhamweekly.com/birmingham/article-867-ncaa-puts-alabama-football-back-on-probation-vacates-wins.html
  29. Jonsson, P. (2009, December 30). Mike Leach fired: Texas Tech coach’s
    methods seen as cruel. Christian Science Monitor. Retrieved from http://www.csmonitor.com/USA/Society/2009/1230/Mike-Leach-fired-Texas-Tech-coach-s-methods-seen-as-cruel
  30. Klein, G., & Wharton, D. (2010, June 10). NCAA sanctions could cost
    USC millions. Los Angeles Times. Retrieved from http://articles.latimes.com/2010/jun/10/sports/la-sp-0611-usc-ncaa-sanctions-20100611
  31. Koning, R. H. (2003). An Econometric Evaluation of the Firing of a Coach
    on Team Performance. Applied Economics, 35(5), 555-564.
  32. Laczniak, R.; DeCarlo, T.; & Ramaswami, S. (2001, July). Consumers’
    responses to negative word-of-mouth communication: An attribution theory perspective.
    Journal of Consumer Psychology, 11(1), p. 57-73.
  33. Leach suspended after player alleges abuse. (2009, December 29). Lubbock
    Avalanche Journal. Retrieved from http://www.redraiders.com/2009/12/29/leach-suspended
  34. Leach, M. (2009). A Legal Education Applied to Coaching College Football.
    Texas Tech Law Review, 42, (77).
  35. Lev, M. (2010, June 28). Pete Carroll Returns to LA and Rips NCAA. Orange
    County Register. Retrieved from http://www.ocregister.com/sports/carroll-255463-usc-football.html
  36. Longman, J. (2007, January 3). The Two Sides of Jim Tressel. The New York
    Times. Retrieved from http://www.nytimes.com/2007/01/03/sports/ncaafootball/03tressel.html?pagewanted=print
  37. Low, C. (2009, September 2). New Deal in Hand, Meyer Staying Put at Florida
    [Web log post]. Retrieved from http://espn.go.com/blog/sec/post/_/id/2106/new-deal-in-hand-meyer-is-staying-put-at-florida
  38. Mirca Madianou, M. (2002). Mediating the Nation. News, Audiences and Identities
    in Contemporary Greece. Write Doctoral Dissertation. London School of Economics
    and Political Science.
  39. Magary, D. (2009, December 30). Why Mike Leach Wins Big in the Texas Tech
    Fiasco [Web log post]. Retrieved from NBC News New York: http://www.nbcnewyork.com/news/sports/Why-Mike-Leach-Is-The-Big-Winner-Of-The-Mike-Leach-Fiasco-80418402.html
  40. Mandel, S. (2010, September 16). Inside Look at NCAA Enforcers Who are
    Spearheading AgentGate. Sports Illustrated. Retrieved from http://sportsillustrated.cnn.com/vault/article/web/COM1174500/index.htm
  41. McMurphy, B. (2010, January 8). Investigative Report Details Leavitt’s
    Lies. AOLNews. Retrieved from http://www.aolnews.com/2010/01/08/south-florida-cuts-ties-with-coach-jim-leavitt/
  42. Miasel, I., & Schlabach, M. (2010, July 22). Dareus may have attended
    agent’s party [Web log post]. Retrieved from http://sports.espn.go.com/ncf/news/story?id=5396236
  43. Murphy, A. (2011, May 2). Under Attack. Sports Illustrated. Retrieved from
    http://sportsillustrated.cnn.com/vault/article/magazine/MAG1184824/index.htm
  44. Oriard, M. (2009). Bowled Over: Big Time College Football from the 60s
    to the BCS. The University of North Carolina Press.
  45. Patton, M. Q. (2002). Qualitative Research & Evaluation Methods. Thousand
    Oaks: Sage Publications.
  46. Pelley, S. (2009, January 4). Mike Leach: The Mad Scientist Of Football
    [Web log post]. Retrieved from CBS News: http://www.cbsnews.com/stories/2008/12/31/60minutes/main4694714.shtml
  47. Peterson, L. (2010, January 8). Genshaft: Leavitt refused to admit wrongdoing
    during meeting. Tampa Tribune. Retrieved from http://www2.tbo.com/content/2010/jan/08/genshaft-leavitt-refused-admit-wrongdoing-during-m/sports-colleges-bulls/
  48. Plashcke, B. (2009, June 12). USC fans, blame USC. Los Angeles Times. Retrieved
    from http://www.latimes.com/sports/la-sp-0611-plaschke-usc-ncaa-20100611-9,0,458661.column/
  49. Rohode, J. (2010, February 16). Big 12 football salary update. The Oklahoman.
  50. Schad, J. (2009, December 16). USF’s Miller says he was not harmed
    [Web log post]. Retrieved from ESPN.com: http://sports.espn.go.com/ncf/news/story?id=4749780
  51. Selvaggi, M. (1993). The College v. The Coach. Seton Hall J. Sport L.,
    221-225.
  52. Sperber, M. (2000). Beer and Circus. New York: Henry Holt.
  53. Stangel, K. (2000, Fall). Protecting Universities’ Economic Interests:
    Holding Student-Athletes and Coaches Accountable for Willful Violations of
    NCAA Rules. Marquette Sports Law Review, 11(1), 137-160.
  54. Staples, A. (2010, November 5). Forget Utah, Alabama Could be Key to Successful
    BCS Antitrust Suit. Sports Illustrated. Retrieved from http://sportsillustrated.cnn.com/2010/writers/andy_staples/11/05/bcs-antitrust/index.html
  55. Stein, D. (2004). Buying in or Selling Out?: The Commercialization of the
    American Research University. Rutgers University Press.
  56. USF player wants apology from fired coach Jim Leavitt. (2010, January 14).
    USA Today. Retrieved from http://www.usatoday.com/sports/college/football/bigeast/2010-01-14-player-wants-leavitt-apology_N.htm
  57. Warmbroad, J. (2004). Antitrust in Amateur Athletics: Fourth and Long:
    Why Non-BCS Universities Should Punt Rather than Go for an Antitrust Challenge
    to the Bowl Championship Series. Oklahoma Law Review, 57, p. 333 – 373.
  58. Weiner, B. (1985). An Attribution Theory of Achievement Motivation and
    Emotion. Psychology Review, 92, 548-573.
  59. White, P., Persad, S., & Gee, C. (2007, June). The Effect of Mid-Season
    Coach Turnover on Team Performance: The Case of the National Hockey League
    (1989 – 2003). .International Journal of Sports Science and Coaching,
    2(2), 143-152.
  60. Woodward, G., & Denton, R. (2009). Persuasion and Influence in American
    Life. Long Grove, IL: Waveland Press.
2014-11-24T05:48:54-06:00November 16th, 2012|Contemporary Sports Issues, Sports Coaching, Sports Facilities, Sports Management|Comments Off on Analysis of the Reasoning Behind the Firings of Mike Leach and Jim Leavitt

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

1. Arthur-Cameselle, J., Quatromoni, P.(2011). Factors related to the onset
of eating disorders reported by female collegiate athletes. The Sport Psychologist,
25(1), 1-17.

2. Cooley, E., & Toray, T. (2001). Disordered Eating in College Freshman
Women: A Prospective Study. Journal of American College Health, 49(5), 229.

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
Medicine, 158:1043-1049.

4. Garner, D. M., Olmsted, M. P., Bohr, Y., & Garfinkel, P. E. (1982).
The Eating Attitudes Test: Psychometric features and clinical correlates. Psychological
Medicine, 12, 871–878.

5. Greenleaf, C., Petrie, T., Carter, J., Reel, J.(2009). Female collegiate
athletes: prevalence of eating disorders and disordered eating behaviors. Journal
of American College Health, 57(5) 485-495.

6. Greenleaf, C., Petrie, T., Reel, J., Carter, J. (2010). Psychosocial risk
factors of bulimic symptomatology among female athletes. Journal of Clinical
Sport Psychology, 4, 177-190.

7. Haase, A.(2011). Weight perception in female athletes: association with
disordered eating correlates and behavior. Eating Behaviors, 12,64-67. doi:
10.1016/j.eatbeth.2010.09.004.

8. Haase, A. (2009). Physique anxiety and disordered eating correlates in female
athletes: differences in team and individual sports. Journal of Clinical Sports
Psychology, 3, 218-231.

9. Hinton, P. S., & Kubas, K. L. (2005). Psychosocial Correlates of Disordered
Eating in Female Collegiate Athletes: Validation of the ATHLETE Questionnaire.
Journal of American College Health, 54(3), 149-156.

10. Kerr, G., Berman, E., Jane De Souza, M. J.(2006). Disordered eating in
women’s gymnastics: perspectives of athletes, coaches, parents, and judges.
Journal and Applied Sport Psychology, 18, 28-43. doi: 10.1080/10413200500471301.

11. Oliveria Coelho, G., Soares, E., & Ribeiro, B.(2010). Are female athletes
at increased risk for disordered eating and its complications. Appetite, 55,
379-387. doi:10.1016/j.appet.2010.08.003.

12. Sherman, R., & Thompson, R. A. (2006). Practical use of the International
Olympic Committee position stand on the female athlete triad; a case example.
International Journal of Eating Disorders, 39(3), 193-201. Doi:10..1002/eat.20232.

13. Sundgot-Borgen, J., & Torstviet, M.(2010). Aspects of disordered eating
continuum in elite high- intensity sports. Scandinavian Journal of Medicine
and Science in Sports, 20, 112-121. doi: 10.1111/j.1600-0838.2010.01190x.

14. Torstviet, M., Rosenvinge, J., & Sundgot-Borgan, J.(2008). Prevalence
of eating disorders and the predictive power of risk models in female elite
athletes: a controlled study. Scandinavian Journal of Medicine and Science in
Sports, 18, 108-118. doi: 10.1111/j.1600-0838.2001.00657x.

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

Investigation of Korean female golfers’ success factors on the LPGA Tour from 1998 to 2007

Abstract

Se Ri Pak is arguably the most famous Korean name ever to play on the LPGA Tour. Ten years after Pak’s debut in 1998, 42 Korean players are now playing on the LPGA Tour. This international phenomenon over the past decade has produced a lot of Korean players and many Korean victories. Nineteen-Koreans have won 64 LPGA Tour events over the past decade. Therefore, the purpose of this study is to analyze the reasons why Korean female golfers have been successful in securing such a dominant position on the LPGA Tour. The survey used in this study was distributed to Korean players who participated in a professional golf event (State Farm Classic Tournament). The results of this study revealed that hard practice, certain goal, and family support were selected as the most important factors to be success on the LPGA Tour by Korean players.

Key words: golf, marketing, consumer behavior, retail

Introduction

With the development of the internet, it is now possible to easily access international newspaper, magazines, blogs, and other media in order to secure news and information
from around the world. For instance, individuals in the United States who are interested in news about Korea and/or its citizens can go to Korean media outlets
and access information about myriad topics concerning Korea. While finding news through Korean media outlets was fairly easy, finding Korean news stories in
American television news programs or cable networks was relatively difficult and uncommon. (Yes, finding information was difficult) When Chan-Ho Park became
the first Korean Major League Baseball (MLB) to be signed by the Los Angeles Dodgers in 1994, and Se Ri Pak, became the first Korean to win the U.S. Open
Tournament and advance to the LPGA (Ladies Professional Golf Association) Tour in 1998, the Korean people could get more news about them through American television
programs or ESPN (Entertainment and Sport Programming Network) cable program. With South Korea’s economy in shambles in 1998, Chan Ho Park and Se Ri Pak gave
encouragement and hope to Korean people. When Chan Ho Park announced the starting pitcher for the L.A. Dodgers’ game or Se Ri Pak would participated in one of
the LPGA Tour tournaments, Korean television programs and big screens in Seoul city aired these game. As Korean people were watching Park and Pak’s victories
for the Major League baseball game and the LPGA Tour tournaments, Korean people felt some sense of satisfaction from them during the difficult Korean recession
period (16). Most Korean people believed that when these two players were signed to go into a major sports league, they would fail, because of differences related
to skill, physicality, culture, language, food, and a host of other potential challenges. However, Park and Pak overcame these supposed problems and were
very successful in their respective sports. The success of Park and Pak gave great hope to the Korean people to also overcome their serious economic problems
in the late 1990s (16). In addition, as Pak in her rookie season on the LPGA Tour collected four victories (including two major tournaments wins), other
Korean female golfers began to complete and eventually join the LPGA Tour.
As a result of the door opened by Pak and the record of her achievements, South Korea now has the largest international contingent on the LPGA Tour (14). One
of the interesting things about the Korean female golfers on the LPGA Tour is that while the Korean players have a large number of victories, they have not
turned out a dominant player since Pak burst on the scene a decade ago with victories in the 1998 McDonald’s LPGA Championship and the U.S. Women’s Open.
Ten years after Pak’s debut in 1998, 42 Korean players (i.e., Se Ri Pak, Mi-Hyun Kim, Grace Park, Shi-Hyun Ahn, Soo Yeong Kang, etc) are now playing on the LPGA
Tour. Every year, Korean female players are increasing on the LPGA Tour. Nineteen-Koreans (i.e., Se Ri Pak, Mi-Hyun Kim, Grace Park, Hee Won Han, Jeong Jang, etc) have
won 64 LPGA Tour events over the past decade. No other professional sports league in the world has as many Korean players. Only a few Korean female handball players
are playing on professional teams in Japan and Europe, and only one basketball player has played for the WNBA (Women’s National Basketball Association). The
numerous Korean players and victories on the LPGA Tour is a unique phenomenon. One may wonder why Korean female players are so prevalent on the LPGA Tour and
so good at the sport of golf. Therefore, the purpose of this study was to analyze the reasons why Korean female golfers have been successful in securing such
a dominant position on the LPGA Tour.

The History of the LPGA and the KLPGA
The Ladies Professional Golf Association (LPGA) Tour is the longest running women’s professional sport association (1). The LPGA Tour was founded in 1950
by 13 members (1). Based on the LPGA Tour history, in its first season, the LPGA Tour hosted 14 tournaments with $50,000 in total prize money. In 1959,
the LPGA Tour included 26 tournaments and played for more than $200,000 in total prize money. The LPGA Tour featured 33 events and prize money of more than $58
million which was the highest ever paid out in LPGA Tour history. The LPGA Tour players competed for an average purse of $1.7 million for the 2008 season (1).
While the LPGA Tour is over a half-century old, the Korean Ladies Professional Golf Association (KLPGA) Tour was founded in 1978. In its first season, the
KLPGA Tour held only one tournament. However, in the 2007 season, the KLPGA Tour hosted 22 tournaments with over $7 million in total prize money. About
1,003 members were registered as active members in 2006, and KLPGA Tour players, such as Se Ri Pak, Mi-Hyun Kim and Shi Hyun Ahn are also playing for the LPGA
Tour (6).

Korean Golf Circumstances

Despite the increasing popularity of golf in the world, golf has not always been a popular sport in Korea. The sport of golf was socially recognized as
a luxury in Korea because most Korean people believed that only wealthy people could participate in golf (8). Koreans have long associated golf with corruption
and greed (2). Government officials with meager salaries could never afford to pay the fairway fees; however they could play golf by receiving bribes (2).
The cost of participating in the sport of golf in Korea is very expensive, at least compared to playing golf in the United States. Compared to golf courses
green fees in the United States, where the average cost of playing an 18-hole is about $36 including cart, Korean golf course green fees are about $140 for
an 18-hole (5). Although Korean golf courses often provide better services than that received at typical golf courses in the United States (i.e., caddies, locker
rooms, saunas, other amenities), spending over $150 for participating in a one-time leisure activity is not easy money to come by for median-low income level people
in Korea. However, the golfing population has gradually increased from the late 1990’s. Shin and Nam (16) posit that since 1998, the number of Korean golfers
is gradually increasing because of the economic downturn in Korea which has forced golf courses to decrease membership and green fees. In 2004, there were
approximately 176 golf courses in Korea. According to Korea Golf Index (7), golf participation population was about 2.5 million.

Korean LPGA Tour Players

Ok Hee Ku is a pioneer of Korean women’s golf. She won 19 tournaments in Korea since 1980 and won 23 international tournaments since 1985. Ok-Hee Ku has mostly
played in Korea and Japan. Ok-Hee Ku was the first Korean winner on the LPGA Tour. She won at the 1998 LPGA Standard Register Turquiose Classic Tournament.
She had the record of the most wins in a single season until it was broken by Ji Yai Shin in 2007 (13). Woo-Soon Ko was the first player who won twice on
the LPGA Tour. She won at the Toray Japan Queen Cup in both 1994 and 1995 (17). Ten years later, Ok-Hee Ku won on the LPGA Tour, Se Ri Pak advanced to the LPGA
Tour and won two major tournaments (U.S. Women’s Open and LPGA Championship) and won two other tournaments during her rookie season. Pak won total 24 tournaments
on the LPGA Tour and six victories on the KLPGA Tour since 1996. In addition, Pak was inducted into the World Golf Hall of Fame in 2007. After Pak advanced
to the LPGA Tour, other Korean female golfers were also challenged to join the LPGA Tour because they gained confidence watching Pak’s successful entry into
the professional tournaments. Largely because of Pak’s achievements, South Korea now has the largest international contingent on the LPGA Tour. Ten years after
Se Ri Pak’s debut, 42 Korean players (not counting Korean-American women like Christina Kim or Michelle Wie), which is 23% of total players (179 LPGA players)
and 50% of international players from Korea in 2007 season, are playing on the LPGA Tour. Nineteen Koreans have won 57 LPGA Tour events, but 44 of those were
from four players: Pak (24), Mi Hyun Kim (eight), Grace Park (six) and Hee-Won Han (six) (18). From 1998 to 2007, five Korean players were named as Rolex Rookie
of the Year including Se-Ri Pak, Mi-Hyun Kim, Hee Won Han, Shi Hyun Ahn, and Seon Hwa Lee. Only three American players, one Mexican, and one Brazilian player
were named Rookie of the Year.

REVIEW OF LITERATURE

Determining the success factors of Korean players on the LPGA Tour has not been easily accomplished. Shin and Nam (16) tried to explain the social structural
of Korean golfers’ success. They studied the golfing boom in Korea, Korean family structure, the goal-oriented nature of Korean people, the Korean psyche, and
other possible factors for success. One of the interesting issues was coming from Shin and Nam’s study related to the Korean family structure. According
to These scholars, one of the reasons the Korean players can focus and devote themselves to golf is the close involvement of parents, because Korean family
members usually live together in a single household until the children marry. This lengthy period of living together develops strong and close relationships
between parents and children. As Korean young female golfers come to the U.S. to learn golf or participate in a tournament, their father or mother, or both
of them, come to the U.S. together to fully support them. Therefore, young Korean players can play well and feel comfortable staying with their parents in a foreign
country. Usually, Korean players fathers’ roles are that of coach, caddy, adviser, manager or driver during the season. Their mothers are doing such things as
cooking Korean food or doing laundry for their daughter.
Lee, Kim, and Lee (9) credited factors such as Korean parents’ passion for education for their children, corporate sponsorships of players, and early golf education
as the sources of Korean female golfers’ successes on the LPGA Tour. Lee, et al. (9) explained that getting corporate sponsorships for players is one of
the most important factors in playing golf well on the Tour. According to Norwood (12), golfers need a minimum of $150,000 a year to play on the PGA Tour, $100,000
for the Champions Tour which is for Senior players, $75,000 for the LPGA Tour, $55,000 for the Nationwide Tour which is the developmental tour for the PGA
Tour. However, international players need at least $100,000 to play on the LPGA Tour because of international flight fares, staying at hotels and eating food
with their parents, tutoring in English, and other expenses. For example, an LPGA Tour player normally needs about $2,000 for travel, hotels, and meals per
event. In addition, a player should pay at least $1,000 for the first two rounds to her caddie. If a player makes the cut and plays three and four rounds of
the event, she needs to pay more to the caddie. Then, a player needs at least $5,000 to break-even for the event after receiving prize money and taxing. If
a player plans to participate in 20 events per year, she needs about $100,000 for the season. Therefore, players need to get corporate sponsors to be able
to play well on the LPGA Tour under stable financial conditions.
Recently, another study examined the success factors of Korean female professionals on the LPGA Tour. Ramstad (14) believed that hard practice, a passion for golf,
and family structures have led to Korea’s having the world’s best women golfers. In addition, Korean government’s elite sport system for young athletes and strong
spiritual strength are major reasons for their success on the LPGA Tour (9,11). A number of researchers have also suggested that culturalism, spiritual strength,
and sport globalization are added factors to the success (3,10). Korean LPGA Tour golfers had strong mental power and more confidence rather than do any
other LPGA players (9). Lee et al., (9) looked at a socio-cultural analysis on the success of Korean players on the LPGA Tour and Shin & Nam (16) looked
at the case of Korean players on the LPGA Tour as approaching to socio-cultural issues such as gender roles, culture, and sport. Lee et al., (9) anticipated
factors such as Korean parents’ passion for education for their children, corporate sponsorships of players, and early golf education as the sources of Korean female
golfers’ successes on the LPGA Tour, but never before has been studies to approach to experimental studies about the success factors of Korean LPGA players. This
research will be asked one question to Korean LPGA players that what is/are the most important factor/s to survive on the LPGA Tour. Therefore, the purpose
of this study is to analyze the reasons why Korean female golfers have been successful in securing such a dominant position on the LPGA Tour..

METHODS

Sample and data collection
In order to accomplish the goals of this study, there was a need to secure the involvement of Korean players on the LPGA Tour. Therefore, this study was conducted
in Springfield, IL, where the 2007 LPGA State Farm Classic tournament was held. A total of 145 players participated in this tournament. A questionnaire was
distributed to Korean players at the practice putting green and driving range. Twenty-five of 26 potential Korean players at the tournament event participated
in this survey for a response rate of 96%. The golfers who participated in this study were asked to answer one question. A total of 25 out of 26 Korean players
responded and only one player refused to answer a question because of practice. (Total 31 participated in the tournament, not survey. I distributed this questionnaire
to 26 players).

Instrumentation

Based on the review of academic literature (5,9,16) and the accounts in traditional media outlets (i.e., newspapers, magazines) that examined, Korean golfers’ success
factors, a questionnaire was developed that included comprised of 10 factors (hard practice, family support, sponsorship, Korean athlete elite education
system, confidence, turning professional early, the Korean chopstick culture, competitive Korean social circumstance, certain goals, and a passion to play
golf) in one question to find out which factors most influenced Korean players to achieve success on the LPGA Tour. After collection of the data, the analysis
of the results involved frequency counts and descriptive tabulations. For instance, “1” was a hard practice, “2” family support, “3” Sponsorship, “4” Korean elite
athlete system, “5” confidence, “6” Turned professional early, “7” Korean chopstick culture, “8” competitive Korean social circumstance, “9” certain goal, and “10”
passion to golf. The research question was to select the top three reasons why Korean female golfers have been successful in securing such a dominant position
on the LPGA Tour.

RESULTS

The study found that hard practice was the first reason for success on the LPGA Tour. 22 Korean players selected “1” (hard practice) as the top reason for dominating on the LPGA Tour. The second reason from 18 out of 25 Korean players was “9” (certain goals) and 15 players answered that “2” (Family support) was one of the top three reasons for success on the LPGA Tour. Korean players marked “10” (passion for golf) as the fourth reason by players. Four out of 26 players selected “6” (turned professional early). Six Korean players were selected “7” (Korean culture, two players), “8” (competitive Korean social circumstance, two players), and “5” (confidence, two players). Interestingly, only two players marked sponsorship or the Korean Athlete Elite Education System. Therefore, based on these results, sponsorship, Korean Athlete Elite Education System, competitive Korean Social Circumstance, the Korean Chopstick Culture, and confidence were not important factors to success on the LPGA Tour for Korean players. This study suggested that the social phenomenon or Korean culture was not the important factor but rather the individual’s talent or effort (hard practice, certain goal, and passion to golf) to success on the LPGA Tour.

DISCUSSION

Lee et al., (9) anticipated factors such as Korean parents’ passion for education for their children, corporate sponsorships of players, and early golf education as the sources of Korean female golfers’ successes on the LPGA Tour. However, this study found that hard practice, certain goal, and family support are the
most important factors to success on the LPGA Tour. This result described that individual’s skills, efforts, and abilities are more important factors than other factors (i.e., sponsorships, Korean chopstick cultures, or competitive Korean social circumstances).
This study also found that family support was also important factor to success on the LPGA Tour. Shin & Nam (16) also anticipated that family support is the one of the important factor. This result will help to young Korean golfers who are trying to advance to the LPGA Tour. If young Korean female golfers follow
the success factors which were selected by Korean LPGA players who advanced the LPGA Tour since 1998, young Korean female golfers might success easier than ever on the LPGA Tour. As noted above, hard practice, certain goal, and family support were the top three reasons to success on the LPGA Tour.
There are a number of limitations that should be considered when interpreting the results of the study. First this study used only one question to answer. One question to answer might not be generalized on the result. Future study should consider several questions to find the factors. Another limitation of
this study was sample size. This study collected twenty five samples. Total 42 Korean LPGA Tour players were playing for the LPGA Tour in 2007. Therefore, future study should also consider collecting more samples at the LPGA Tour tournaments which is the most Korean players participate in.

CONCLUSIONS

This study was to analyze the reasons why Korean female golfers have been successful in securing such a dominant position on the LPGA Tour. This study found that individual’s skills, efforts, and abilities are more important factors than other factors such as sponsorships, Korean chopstick cultures, or competitive Korean social circumstances.

APPLICATIONS IN SPORT

The significance of these finding is related to the work of sport marketing professionals. With the increasing numbers of Korean female golfers on the LPGA Tour, the LPGA Tour needs to consider Korean players as a marketing strategy. According to Blauvelt (4), the largest percentage of the LPGA Tour TV rights fees came from South Korea. In 1998, the majority of LPGA Tour TV rights came from the U.S. because there had been no Korean players on the LPGA Tour at that time. In addition, the LPGA Tour might consider using a Korean language version online as a way of increasing international traffic, because many Korean fans are visiting the LPGA Tour official website to check Korean players’ stats and information. If the LPGA Tour put products related to Korean players on the online pro shop, the sales of merchandise might greatly increase due to Korean fans. As many Korean players are playing on the LPGA Tour, Korean companies might want to sponsor the LPGA Tour. Before 1998 season, there had been no Korean sponsor on the LPGA Tour. However, since 1998, Cheil Jedang and Samsung (both of which are major corporations in South Korea) took title sponsors for inaugural events and regular tour tournaments. Koron also signed as title sponsor of Koron-LPGA cross-cultural professional development program. This program was designed to help all LPGA Tour players be successful on the LPGA Tour. Therefore, if the LPGA Tour focuses on increasing marketing around Korean players, Korean fans, TV right fees, sponsors, etc will increase and make more revenue for the LPGA Tour.

ACKNOWLEDGEMENTS

None

REFERENCES

  1. About LPGA. (2008). LPGA.com. Retrieved June 6, 2008, from
    www.lpga.com
  2. Baker, M. (1998). Golfer gives weary Korea something to cheer about. Christian Science Monitor, 90(162), p.6.
  3. Bale, J., & Maruire, J.A. (1994). The global sports arena: Athletic talent migration in an interdependent world. London: Frank Cass.
  4. Blauvelt, H. (2003, June 5). Se Ri Pak’s success on LPGA tour inspires countrywomen. USA Today, Retrieved June 6, 2008, from
    www.usatoday.com
  5. Kim, C.R. (2006). The development of proposals to popularize golf as leisure activity in Korea through benchmarking of the U.S. golf cultural characteristics. Journal of Korea Sport Research, 17(5), 375-384.
  6. KLPGA Introduction. (2007). KLPGA.com. Retrieved June 7, 2008, from
    www.klpga.com
  7. Korea Golf Index. (2007). KGAGOLF.or.kr. Retrieved June 5, 2008, from
  8. Kwon, S. (2007). Study on a popularization plan through recognition of Korea’s golf culture. Journal of Korea Sport Research, 18(3), 615-624.
  9. Lee, Y.S., Kim, Y.H., & Lee, C.W. (2004). A socio-cultural analysis on the success of Korean players on LPGA Tour. Journal of Leisure and Recreation Studies, 27, 5-17.
  10. Magee, J., & Sugden, J. (2002). The world at their feet: Professional football and international labor migration. Journal of Sport and Social Issues, 26(4), 421-437.
  11. Mook, H.S. (2008, April 23). The effect of extracurricular work of golf. Ma Il Kyung Jae, Retrieved May 15, 2008, from
    news.mk.co.kr
  12. Norwood, B. (2005, May 30). Backing a Tour pro. Business Week, Retrieved June 8, 2008,
    www.businessweek.com
  13. Ok Hee Ku. (2007). Seoul Sisters.com. Retrieved June 6, 2008, from
    www.seoulsisters.com
  14. Ramstad, E. (2007, April 25). Why Korea makes the world”s best women golfers. The Wall Street Journal, pp. A1, A11.
  15. Seo, J. (2002, October 2). Taylor Made riding high on golf boom in Korea. The Korea Times, p. 9.
  16. Shin, E.H., & Nam, E.A. (2004). Culture, gender roles, and sport: The case of Korean Players on the LPGA Tour. Journal of Sport & Social Issues, 28(3), 223-244.
  17. Sirak, R. (2007, June 20). Pak leads Korean pack. Golf World, Retrieved June 5, 2008, from
    www.golfdigest.com
  18. Stats and News. (2007). LPGA.com. Retrieved June 7, 2008, from

www.lpga.com

 

TABLE 1

The LPGA Rookie of the Year from 1998 to 2007

Year Name Nationality
1998 Se Ri Pak Korea
1999 Mi Hyun Kim Korea
2000 Dorothy Delasin U.S.
2001 Hee Won Han Korea
2002 Beth Bauer U.S
2003 Lorena Ochoa Mexico
2004 Shi Hyun Ahn Korea
2005 Paula Creamer U.S.
2006 Seon Hwa Lee Korea
2007 Angela Park Brazil

 

TABLE 2
Korean players’ success factors on the LPGA Tour


Factors

The total number of times listed(For
your question,
players can select three factors. 22 out of 26 players select “1”.

Hard Practice (“1”) 22
Certain Goal (“9”) 18
Family Support (“2”) 15
Passion to Golf (“10”) 7
Turned Professional Early (“6”) 4
Confidence (“5”) 2
Korean Chopstick Culture (“7”) 2
Competitive Korean Social Circumstance (“8”) 2
Korean Athlete Elite Education System (“4”) 1
Sponsorship (“3”) 1
2020-06-02T11:24:58-05:00November 15th, 2012|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology, Women and Sports|Comments Off on Investigation of Korean female golfers’ success factors on the LPGA Tour from 1998 to 2007

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 at 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.

(more…)

2017-08-03T10:50:58-05:00August 30th, 2012|Contemporary Sports Issues, Sports Studies and Sports Psychology, Women and Sports|Comments Off on Female Athletes and Eating Disorders
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