Sports Studies and Sports Psychology – Page 29

Qualitative Analysis of International Student-Athlete Perspectives on Recruitment and Transitioning into American College Sport

David Pierce (Ball State University); Nels Popp (Illinois State University); Brad Meadows (Ball State University)

### Abstract

Recruiting international athletes is a growing trend in American intercollegiate sport, and international student-athletes play an increasingly prominent role in NCAA competition. This research answers the following questions regarding the recruitment of international student-athletes and their transition to college life: (1) what is the most difficult aspect of the international university experience?; (2) what do international athletes identify as the most important factor for a successful transition to American college?; (3) how did international athletes hear about athletic opportunities in the United States; (4) what advice would current international athletes give international athletes considering a move to the United States to participate in intercollegiate sport?; and (5) what would the athletes have done had they not played college sports in the United States? The researchers solicited the assistance of CHAMPS/Life Skills coordinators at 15 Division I schools who distributed surveys to student-athletes, who in turn completed the survey, sealed it in an envelope, and returned in to the coordinator. A total of 355 athletes completed the survey, including 192 international athletes. Homesickness and adjustment to the U.S. culture were identified as the most difficult aspects of the university experience for international athletes, while the most important elements to a successful transition for international athletes were a strong support system from teammates and coaches and also from friends and family in their native country. Only one-fourth of respondents learned about athletic opportunities from coaches in the U.S., while one-fourth of the respondents learned about these opportunities from friends, family, and other athletes. The top piece of advice given by respondents was to realize that playing sports in the U.S. will require important traits like focus, dedication, hard work, and persistence in order to succeed. The results of this study highlight the importance of transitioning international athletes into college life. Once international athletes are on campus, a member of the athletic department staff should oversee the athlete’s transition into college life, focused on combating the top three challenges identified in this research: homesickness, adjustment to U.S. culture, and language. This staff member should serve as a liaison between athletic department personnel and other campus resources to facilitate a smooth transition.

**Key Words:** international student-athletes, recruiting, transition to college

### Introduction

Recruiting athletes from outside of the United States is a growing trend in college athletics as international student-athletes play an increasingly prominent role in NCAA competition (6, 9, 22). For coaches, who must recruit talented athletes in order to be successful, “the pressures to win, and the penalties for losing, are exacting. Many Division I coaches’ jobs are predicated on the strength of their programs, causing them to recruit the best talent they can find, in many cases from the international pool” (19, p. 860). Evidence of a worldwide search for talent is found in the 17,653 international student-athletes that competed in NCAA competition during the 2009-10 school year, a large increase from the just under 6,000 that competed a decade prior (11). Among Division I schools, over one-third of the male and female athletes in both tennis and ice hockey, and over one-eighth of male and female golfers, were born outside of the United States (11). In addition to increasing participation numbers, international athletes have dominated in individual sports like tennis and golf, and led teams to championship performances (13, 22). However, international athletes face many challenges in adjusting to the language, coursework, dorm life, food, cultural expectations, coaching, paperwork, and the style of play in the United States. As international athletes continue to leave their mark on NCAA sports, coaches and administrators benefit from understanding what difficulties come with transitioning to life as a student-athlete in the U.S. and how international athletes learn about the recruitment process.

Previous research has examined the adjustment process for both international students and international athletes to college. While researchers have noted that a lack of groups with which to socialize is a problem for many international students (7, 10, 20), international athletes have the advantage of being immediately placed within a team structure (14). However, athletes may still face similar obstacles to a successful transition including culture shock, cultural differences, academic adjustment, homesickness, discrimination, and contentment (5). Ridinger and Pastore (17) were the first to create a model of adjustment for international student-athletes, which included four antecedent factors (personal, interpersonal, perceptual, and cultural distance), and five types of adjustment (academic, social, athletic, personal-emotional, and institutional attachment), resulting in two outcomes (satisfaction and performance) to define successful adjustment to college.

Researchers have also examined the recruitment of international athletes. Not only can coaches create winning programs through the recruitment of international athletes, but coaches can also maintain successful teams with international athletes through the establishment of talent pipelines (3-4, 21). Bale (3) identified talent pipelines in which concentrations of athletes from certain countries were found in particular NCAA institutions, with coaches hoping that friend-to-friend recruiting will result in attracting elite athletes from a particular foreign country. Bale (3) noted that institutions unable to compete for homegrown talent, due to lack of prestige or unattractive campus location, established talent pipelines with a foreign country. For example, a talent pipeline of elite track and field stars from Kenya was found at schools like University of Texas El Paso and Washington State University, and a pipeline of track talent from Nigeria was identified at the University of Missouri and Mississippi State University (3). Talent pipelines are an important recruiting strategy, particularly when coaches are unable to compete for local athletes or local talent is not available for certain sports (21).

This research seeks to provide answers the following questions regarding the recruitment of international student-athletes and their transition to college life: (1) what is the most difficult aspect of the international university experience?; (2) what do international athletes identify as the most important factor for a successful transition to college?; (3) how did international athletes hear about athletic opportunities in the United States; (4) what advice would current international athletes give international athletes considering a move to the United States to participate in intercollegiate sport?; and (5) what would the athletes have done had they not played college sports in the United States?

### Methods

The sample for this study included N = 355 athletes from 15 NCAA Division I institutions, including n = 192 international athletes. Schools selected for this study were based on a need to collect data from purposive clusters of Division I institutions, given certain factors may influence international student-athletes’ experiences at their United States institution such as school size, the size of the community within which the school is located, and the geographic location of a school (3). Seven schools were members of the Football Bowl Series (FBS) conferences, while eight were not. Eleven conferences were represented in the study. Eight schools were located in large metro areas with populations over 400,000, while seven were located in communities with populations under 170,000. Six schools were located in the eastern third of the U.S., six were located in the Midwest, and three were located in the western third of the country.

The researchers solicited the assistance of CHAMPS/Life Skills coordinators from the 15 schools via phone to see if they would agree to participate in the study. The researchers then collected the names of all international student-athletes listed on website rosters. The coordinators were instructed to distribute the surveys to the student-athletes, who in turn completed the survey, sealed it in an envelope, and returned in to the coordinator. Participation in the survey was voluntary and a letter indicating the participant’s rights were included, per the approval obtained by the university Human Subjects Review Committee.

A total of 192 athletes representing 57 countries responded to the survey for a response rate of 39.6%. The top three countries represented were: Canada, 24%; England, 8.3%; and Puerto Rico, 7.8%. Males accounted for 45% of the sample and females accounted for 55%. The responses from the open-ended questions in the International Student-Athlete Survey were content analyzed. Two raters independently examined the data and codes were developed to categorize written responses (18). To test intercoder reliability, the coders independently examined 20% of the sample. The codebook and coding protocol were clearly understood, as the correction for chance agreement (Scott’s Pi) exceeded .8 for all but one question, which yielded an acceptable .77 (23).

In addition to frequency counts for each question, chi square was utilized to examine differences between demographic variables, including: gender, native area of origin (Canada, Europe, South America), length of time in the United States (0-2 years, 2.5 to 3.5 years, 4+ years), type of sport (team or individual), class standing (freshman/sophomore and junior/senior), whether or not the athlete used a campus visit, number of schools considered (0-2, 3+), and whether or not the athletes had a full scholarship.

### Results

Ten variables were identified for the first question, “what is the most difficult aspect of the international university experience?” Homesickness was the most difficult aspect, accounting for 24.1% of all answers, followed by adjusting to the U.S. culture, 20.5%; and adjusting to the language, 14.7%. Table 1 displays all ten coded answers for question 1. In order to examine the difference between various demographic variables through chi square analysis, the ten answers in Table 1 were re-coded into four variables (language and cultural adjustments, homesickness, athletic and academic transitions, financial and logistical difficulties, and other). First, chi square analysis revealed that European athletes were more likely to note language and cultural adjustments as a difficult aspect of the international university experience than non-European athletes (χ² (4, N = 278) = 12.1, p = .017). Second, Canadian athletes were more likely to identify financial and logistical difficulties than non-Canadian athletes (χ² (4, N = 278) = 29.8, p = .001). Third, athletes participating in individual sports were more likely to identify language and cultural adjustments as a difficult aspect than athletes on team sports, while athletes participating on team sports were more likely to identify homesickness than athletes on individual sports (χ² (4, N = 278) = 11.4, p = .023). Finally, freshman/sophomore athletes were more likely to identify language and cultural adjustments than junior/senior athletes (χ² (4, N = 278) = 11.7, p = .020).

Seven variables were identified for the second question, “what were the most important factors in helping you transition to university life in the United States?” Over one-third of respondents indicated that a strong support system from teammates and coaches on their college team was important, and 20.2% indicated that a strong support system from friends and family in their native county was important. Table 2 displays all seven coded answers from question 2. The answers in Table 2 were re-coded into two variables (support system identified as important, support system not identified as important). First, chi square analysis revealed that athletes from the Carribean/South America were less likely to cite the need for a support system from coaches, family, and friends than athletes not from that area (χ² (4, N = 267) = 7.3, p = .006). Second, junior/senior athletes were more likely to identify the importance of a support system from coaches, family, or friends than freshman/sophomore athletes (χ² (4, N = 265) = 6.9, p = .006).

Eight variables were identified for the third question, “How did you first learn about opportunities to earn university sports scholarships in the United States?” One-fourth of the respondents learned about these opportunities from friends, family, or other athletes, while another one-fourth indicated they learned from individuals who had previously participated in U.S. sports. Only 23.9% learned from personnel related to U.S. college sports (i.e. coaches and administrators). Table 3 displays all 8 coded answers from question 3. Chi square analysis revealed that athletes playing team sports obtained information regarding U.S. college sports differently than athletes participating in individual sports. Team sport athletes were more likely to obtain recruiting information from those involved in U.S. college sports (i.e. coaches and recruiters) than individual sport athletes (χ² (1, N = 180) = 4.4, p = .030). Additionally, athletes participating in individual sports were more likely to learn about scholarship opportunities through personal relationships with family, friends, and athletes, while team sport athletes are more likely to learn about scholarship opportunities through those involved with the institutional sport structure (i.e. coaches, administrators, recruiting services) (χ² (1, N = 180) = 4.9, p = .02)

In a related question, international athletes were asked to compare the athletic facilities and athletic opportunities in the United States and their home country. The respondents overwhelmingly indicated that both the facilities and opportunities were better in the United States. Only ten percent of the international athletes believed that either the facilities or opportunities in their home country were better than what was available in the United States.

Fourteen variables were identified for the fourth question, “what advice would current international athletes give international athletes considering a move to the United States to participate in intercollegiate sport?” However, only four variables occurred in greater than 7% of the responses. The top piece of advice given by one-fifth of the respondents was to realize that playing sports in the U.S. will require important traits like focus, dedication, hard work, and persistence in order to overcome challenges. Second, 18.9% encouraged prospective international athletes to do adequate research on schools before deciding which school to attend, such as getting to know the coaches, athletes, and athletic facilities. Third, 14.2% recommended making the decision to play in the United States because it was such as an excellent opportunity. Fourth, 11.8% indicated it is important to consider academics and majors that can be used to obtain employment in their native country, meaning it is important to find the best overall fit between academics and athletics when deciding on a school.

Finally, international athletes were asked, “what would you be doing now if you had not had this opportunity to play for an NCAA university?” Responses were categorized by what the athlete would be doing (i.e. working, attending college, playing sports) and where they would be living (i.e. native country, United States), as presented in Table 4. Only seven athletes indicated they would be attending college in the United States, while 105 respondents indicated they would be attending college in their native country and only 33 would have continued to play sports in their native country.

### Discussion

American NCAA Division I universities provide opportunities for elite athletes from outside the U.S. to pursue their university degree while continuing to train and compete at a high athletic level, an opportunity not possible in many other countries. However, international athletes face challenges in adjusting to life as a student-athlete. It should come as little surprise that international athletes felt the most difficult aspects of playing university sport in the U.S. were dealing with homesickness, cultural differences, and language barriers. Many cross-cultural sojourners find themselves dealing with similar issues once the initial excitement of being submerged in a new culture wears off (1, 12). In fact, the greater the cultural distance between the sojourner’s native country and the host nation, the greater the adjustments international athletes would be expected to make (17). As was demonstrated in the results, Canadians, whose native country is culturally quite similar to the U.S., were much less likely to indicate a concern with homesickness, cultural differences, and language barriers (for many Canadians, the language barrier is non-existent). Canadian athletes were much more concerned with financial and travel logistics. The results also indicated that freshman and sophomores struggle with these issues more than experienced athletes in their junior and senior years.

The respondents to the survey revealed two key strategies to overcoming these difficulties and successfully transitioning into life as a student athlete during the first year on campus. First, international athletes indicated the high importance of understanding what international-student athletes are “getting themselves into” before committing to an NCAA school. Advice dispensed by the sample in this study focused on understanding the dedication and commitment required of an NCAA Division I athlete, knowing the differences between schools, coaches, and athletic programs at various universities, and learning which schools and academic programs could offer international athletes the best opportunities back in their home country after their college career is complete.

This strategy aligns with prior research. Craven (8) suggested the more athletes and coaching staffs are prepared and educated about the cultural differences they may experience while submerged in another culture, the easier their transition and adjustment to the new environment will be. In Bale’s work, several of his subjects suggested the U.S. college experience was not what they thought it would be, as over 30% encountered problems with U.S. coaches, nearly 25% had difficulties adjusting to the climate in their new location, and over 20% lacked motivation with academic work (2). When offered the chance to be a varsity athlete at an NCAA Division I school, many international athletes are initially so excited about the opportunity and chance to travel to the United States that the location and environment of the specific school they attend is not a key factor (15-16). As the results of this study indicate, however, current international athletes believe it is important for international student-athlete prospects to consider many issues beyond just an opportunity to compete in the U.S. college system before making the commitment to attend a U.S. university.

The second key factor in transitioning into life as a student-athlete is the development of a support system first built on teammates and coaches, but also built on family and friends back home. It is important for coaches and teammates to understand that international student-athletes identified developing a support system with them as the most important element of a successful transition. It is clear the relationships developed with the people international athletes spend the most time with are a key determinant to a successful transition. Coaches should also ensure international athletes have the technical support to maintain relationships with those at home through various video, chat, and online communication resources.

Another key finding in this study was that most of the respondents would not have moved to the U.S. or continued to participate in sports without the opportunities presented through American intercollegiate sport. One of the attractions of U.S. college sport is access to high quality facilities and abundant opportunities. Results indicated that the respondents felt the athletic facilities and athletic opportunities available to them as an NCAA Division I athlete were superior to their options in their native country. This finding could potentially be skewed as young athletes who did have access to better facilities and opportunities in their homeland may not have considered playing in the U.S. college system. However, this finding has key implications for sport managers outside of the U.S. Administrators of sport clubs in non-U.S. countries may lose elite athletes at the peak of their career as those athletes choose to accept an NCAA scholarship. If such club administrators hope to retain these athletes, they may need to examine the attraction of competing in the U.S. collegiate sport system (namely competitive opportunities and facilities) and attempt to replicate those factors in their native country. More research examining this specific issue is needed.

Finally, one surprising finding from this study is only a quarter of respondents indicated university athletic department staff, such as coaches and administrators, were the key source of information regarding the opportunity to compete in the United States college system. As illustrated in the introduction to this paper, recruiting is arguably the most important element in developing an elite college athletic program and many university athletic departments dedicate a relatively large percentage of their resources towards this endeavor. Yet the recruiting process does not seem to be overly efficient in reaching international prospects. Many of the respondents in this study indicated family, friends, and acquaintances that had competed in the U.S. college system were more important sources of information about playing opportunities at NCAA schools than were the coaches whose job it is to recruit these athletes. This study illustrates the need for coaches to more effectively and efficiently recruit the international landscape.

### Conclusions

American college sports provide an opportunity for athletes from countries outside the U.S. to continue their playing careers and educational training in the United States where high-level athletic facilities and strong competitive opportunities abound. International student-athletes must overcome many challenges and obstacles upon arrival on campus, including homesickness, adapting to the culture, and learning the language. Coaches and teammates play an important role in helping international athletes develop a support system that will assist in the successful transition to a student-athlete. Athletic administrators also play a key role, as discussed in the next section.

### Applications In Sport

Once international athletes are on campus, a member of the athletic department staff should oversee the athlete’s transition into college life, focused on combating the top three challenges identified in this research: homesickness, adjustment to U.S. culture, and language. This staff member should serve as a liaison between athletic department personnel (i.e. CHAMPS Life Skills coordinators, compliance, eligibility, coaches) and other campus resources (i.e. academic advising, international office) to facilitate a smooth transition. The liaison can coordinate paperwork deadlines, information updates, cultural sensitivity training in the athletic department, and any programming that might benefit the international athletes. Such programming could include a peer mentoring program, utilizing transition to college coursework, placing international athletes with experts in teaching the English language, offering open forums for athletes to socialize with athletes from other teams, developing information packets with multicultural resources in the community and university, and establishing relationships with host families in the community (under the supervision of the compliance office). Acquainting athletes with American college life should begin as soon as possible, either on an official visit or having international athletes arrive on campus as early as possible to adjust to the language, culture, food, teammates, and academic expectations. Finally, developing a strong relationship with the international office is important in order to ensure all government paperwork is completely in an accurate and timely fashion.

Finally, in contrast to domestic athletes who take official and unofficial visits and have many other opportunities to develop relationships with coaches who are recruiting them, international athletes rely on their personal support system (i.e. club coaches, former athletes, family, friends) to gather information on U.S. colleges. NCAA coaches must continue to improve their international recruiting connections with former athletes and club coaches because they are still the top source of information about competing in the U.S. college system. If NCAA coaches want to successfully recruit international athletes, they should focus on improving recruiting connections with key members of an athlete’s personal support system. Previous research by Bale (2-4) has established some institutions are able to develop talent pipelines where information about an institution is disseminated by athletes who competed for a particular school in the past.

### References

1. Adler, P. (1975). The transitional experience: An alternative view of culture shock. The Journal of Humanistic Psychology, 15, 13-23.
2. Bale, J. (1987). Alien student-athletes in American higher education: Locational decision making and sojourn abroad. Physical Education Review, 10(2), 81-93.
3. Bale, J. (1991). The brawn drain: Foreign student-athletes in American universities. Urbana, IL: University of Illinois Press.
4. Bale, J. (2003). Sports geography (2nd ed.). London: Routledge.
5. Berkowitz, K. (2006). From around the world. Athletic Management, 18(6). Available online at <http://www.athleticmanagement.com/2007/01/15/from_around_the_world/index.php>
6. Brown, G.T. (2004, Dec. 6). Foreign matter: Influx of internationals in college swimming tugs on bond between campus and country. The NCAA News, p. 5.
7. Chapdelaine, R., & Alextich, L. (2004). Social skills difficulty: Model of culture shock for international graduate students. Journal of College Student Development, 45, 167-184.
8. Craven, J. (1994). Cross-cultural impacts of effectiveness in sport. In R.C. Wilcox (Ed.) Sport in the global village, (pp. 433-448). Morgantown, WV: Fitness Information Technology, Inc.
9. Drape, J. (2006, Apr. 11). Foreign pros in college tennis: On top and under scrutiny. The New York Times, p. D1.
10. Furnham, A., & Bochner, S. (1986). Culture shock: Psychological reactions to unfamiliar environments. London: Methuen.
11. NCAA. (2010). 1999-00 – 2009-10 NCAA student-athlete race and ethnicity report. Available online at <http://www.ncaapublications.com/productdownloads/SAEREP11.pdf>
12. Oberg, K. (1960). Cultural shock: Adjustment to new cultural environments. Practical Anthropology, 7, 177-182.
13. Pierce, D., Kaburakis, A., & Fielding, L. (2010). The new amateurs: The National Collegiate Athletic Association’s application of amateurism in a global sports arena. International Journal of Sport Management, 11(2), 304-327.
14. Popp. (2006, September). International student-athlete adjustment to U.S. universities: Testing the Ridinger and Pastore model. Paper presented at the annual meeting of the European Association for Sport Management, Nicosia, Cyprus.
15. Popp, N., Love, A., Kim, S, & Hums, M.A. (2010). International student-athlete adjustment: Examining the antecedent factors of the Ridinger and Pastore theoretical framework model. Journal of Intercollegiate Sport, 3, 163-181.
16. Popp, N., Pierce, D., & Hums, M.A. (in press). A comparison of the college selection process for international and domestic student athletes at NCAA division I universities. Sport Management Review.
17. Ridinger, L. & Pastore, D. (2000). A proposed framework to identify factors associated with international student-athlete adjustment to college. International Journal of Sport Management, 1(1), 4-24.
18. Riffe, D., Lacy, S., & Fico, F. G. (2005). Analyzing media messages: Using quantitative content analysis in research. Mahwah, NJ: Lawrence Erlbaum.
19. Weston, M. A. (2006). Internationalization in college sports: Issues in recruiting, amateurism, and scope, 42 Williamette Law Review 829.
20. Westwood, M., & Barker, M. (1990). Academic achievement and social adaptation among international students: A comparison groups study of the peer-pairing program. International Journal of Intercultural relations, 14, 251-263.
21. Wilson, R. (2008). A Texas team loads up on All-American talent, with no Americans. Chronicle of Higher Education, 54(18), p. A30-A31.
22. Wilson, R., & Wolverton, B. (2008). The new face of college sports. Chronicle of Higher Education, 54(18), p. A27-A29.
23. Wimmer, R., & Dominick, J. (2006). Mass media research: An introduction. Belmont, CA: Thomson Wadsworth.

### Tables

#### Table 1
Most Difficult Aspects of International University Experience

Response	Frequency	Percent
Homesickness	67	24.1
Adjustment to U.S. culture	57	20.5
Language adjustment	41	14.7
Adjustment to being an athlete	23	8.3
Other	21	7.6
Time management	19	6.8
Academic transition	18	6.5
Financial insecurity or finding a job	15	5.4
Paperwork	12	4.3
Finding transportation	5	1.8
Total	267

Note: Respondents could have multiple answers in their written response

Intercoder Agreement: Scott’s Pi = .89

#### Table 2
Important Factors for Successful Transition to University Life

Response	Frequency	Percent
Strong support system from teammates and coaches	91	34.1
Strong support system from friends and family back home	54	20.2
Possess of key personality traits (experience, desire, patience, etc.)	49	18.4
Strong support system from academic advisors, tutors, professors, and administrators	25	9.4
Adapting to U.S. culture and the English language	20	7.5
Other	15	5.6
Time management and organization	13	4.9
Total	267

Note: Respondents could have multiple answers in their written response

Intercoder Agreement: Scott’s Pi = .82

#### Table 3
Source of Information Regarding Athletic Opportunity in the United States

Response	Frequency	Percent
Family, friends, and athletes	45	25
Individuals who had participated in U.S. athletics previously	44	24.4
Coaches and recruiters involved in U.S. college sports	43	23.9
In native country from high school coach or administrator	29	16.1
Personal research	10	5.6
Other	5	2.8
Sport recruitment service	4	2.2
Total	180

Intercoder Agreement: Scott’s Pi = .87

#### Table 4
Life without American College Sports

	Working	Attending College	Playing Sports	Total
Native Country	14	105	33	152
Not Specified	9	15	13	37
U.S.	0	7	0	7
Total	23	127	46	196

Intercoder Agreement: Scott’s Pi = .85

### Corresponding Author

Dr. David Pierce
Ball State University
School of Physical Education, Sport, and Exercise Science
Muncie, IN 47306
765-285-2275
<dapierce@bsu.edu>

U.S. Sports Academy2013-11-22T22:56:03-06:00January 4th, 2012|Contemporary Sports Issues, Sports Coaching, Sports Facilities, Sports Management, Sports Studies and Sports Psychology|Comments Off

Effects of American Football on Height in High School Players

Brian Campbell, Torie Guidry, Matt Lopez, Kristina Estis and David Bellar

### Abstract

The aim of the present study was to investigate height change of high school football players during a single game. Ten high school football players served as participants. The participants were selected according to position and expected playing time. The chosen positions experience the repetitive longitudinal loading of the spine that may lead to a creep response in the vertebral disk. Height was measured using a standard physician beam scale with height rod. A practicing certified athletic trainer served as the tester for all measures (pre – post). A paired samples T-test was performed to determine significance between height before and after the game. A significant difference was shown in height magnitude (Mpre = 176.56±6.9cm, Mpost = 175.81±6.94cm, p = .032). The results indicate that high school football players’ height decreases during the course of a game. This process is likely due to the creep response caused by intermittent high impact compressive loading of the spinal column, as well as low impact continuous compressive forces from equipment weight.

**Key words:** American football, compression, spinal shrinkage, creep response

### Introduction

American football (football) places many physical demands on its participants due to the aggressive nature of the sport. External forces from running, blocking and tackling can cause much stress on the human body. Even with protective equipment such as helmets and pads, these forces are inevitable. During the course of a game, football players may experience substantial longitudinal loading of vertebral column from the compressive forces of running and tackling as well as the continuous load due to equipment mass. This loading of the spine may accelerate the creep response which could result in a decrease in height after a game.

Spinal creep is a process by which continual loading or compressive forces placed upon the spinal column cause a reduction in the vertical size of the intervertebral discs. This creep response is due to the viscoelastic properties of the intervertebral discs of the spinal column, and is also referred to as spinal shrinkage. When compressive loading of the spine exceeds the interstitial osmotic pressure of the discal tissue, water is expelled from the intervertebral discs. This results in a loss of disc height which is reflected as a loss in stature (11). Since the spinal column composes about 40% of total body length, and the intervertebral discs account for roughly one-third of the length of the spinal column (Reilly, 2002), fluid loss from the discs can potentially cause substantial change in stature.

Studies of the intervertebral discs have shown that by narrowing in response to compressive forces, the discs also stiffen, which alters the dynamic response characteristics of the intervertebral disc complex (7). Once the disc has been narrowed and stiffened, its ability to absorb sudden direct and indirect changes in force is reduced, and thus the disc is therefore more susceptible to injury (9), and is often suggested to be a major causal factor of back pain (8). Some of the sports that have the highest risk of these injuries are football, ice hockey, and rugby (1). Within the sport of football it is believed that there is an increase in risk factors associated with spinal creep that may cause many athletes to develop low back pain (5). Because specific spine injuries like fracture, disc herniation, and spondylolysis are more frequent in football players (5), the occurrence of spinal shrinkage during a football game may be greater than other activities.

Studies have investigated spinal shrinkage in various activities ranging from running (4), weight lifting (3) and circuit training (6), but currently there exists a gap in the literature surrounding spinal creep and American football. The compressive loads that can affect the vertebral column include gravity, changes in motion, truncal muscle activity, external forces and external work (13) all factors that can be involved in football. These factors may lead to an accelerated creep response which could result in a decrease in height after a game. In a sport such as football, any minute decrease in stature may mean the difference between blocking a last second field goal, or making a game winning catch. Chronic exposure to these factors may also lead to back pain or injuries to the spine or discs. Therefore, the purpose of this study was to investigate the amount of shrinkage due to spinal loading during a high school football game.

### Methods

#### Participants

Ten high school football players took part in the study. Mean values for height and weight were 176.6±6.9cm and 86.4± 9.5kg, respectively. All players were high school seniors aged 18 years and were selected according to position and expected playing time. The positions chosen were ones that experience the repetitive longitudinal loading of the spine that may lead to a creep response in the vertebral discs. This information was determined after interviewing the coach for the team and from observations made at other similar games. Based on these criteria, eligible (18yr old) players were recruited who started at the following positions: linebackers, running backs, and linemen. Players were also selected who would be likely to play the entire game with very few rest breaks.

#### Apparatus

A standard physician beam scale with height rod was used in this study for measuring changes in stature before and after participation in the game. All measurements were collected by a practicing certified athletic trainer. The apparatus was accurate to within 0.01 inches and all measurements were converted to millimeters.

#### Procedures

The football game used for this experiment was an evening high school football game, which took place after a regular day of school. An evening game was selected to ensure that any shrinkage occurring from normal daily activities would not affect the results of the study. Participants were measured barefoot while standing and wore t-shirt and shorts for both pre-game and post-game measurements. Pre-game measurements were taken prior to warm ups to ensure that starting heights reflected absolutely no football activity. Post-game measurements were taken immediately after completion of the game. Three consecutive measurements were taken each time by the certified athletic trainer to ensure that the apparatus was reliable.

#### Data Analysis

The effects of playing football on changes in stature were analyzed using a paired sample T-test. Post hoc power calculations were performed following any statistically significant finding. Comparisons were made between the pre- and post-game height measurements. All statistical analyses were performed with the use of a modern computer software package (SPSS 17.0 for Macintosh, G*Power 3). Statistical significance was set a priori at an alpha level > 0.05.

### Results

The mean and standard deviation for the pre-game height measurements was 176.6 ± 6.9 cm. Post-game measurements yielded a mean and standard deviation of 175.8 ± 6.9 cm. The results show that there was a significant increase in spinal shrinkage due to participation in a high school football game (p =0.032, power = 0.674). The average height loss for the ten participants was 7.62 (±SD = 9.25) mm.

### Discussion

The present study showed that participation in a high school football game causes measurable height differences before and after the game, the demonstrated mean loss of stature was 7.62mm. It can be assumed that the decrease in height is due to the increased external forces and equipment weight that are involved in the sport. These potentially lead to a rise in the intradiscal pressure and fluid to be expelled, resulting in a reduction in disc height. Though it is logical that loss of intervertebral disc height is responsible for all variations in height, it is also possible that the cartilage in joints and the soft tissue covering the scalp and soles of the feet may have been compressed. However, the total height of the intrajoint cartilage is small and the degree of compression is thought to be negligible (6). The soft tissue covering the scalp is also thin and the height rod of the scale used for measurement would compress the tissue to an insignificant level. The tissue covering the soles of the feet might also be compressed upon standing but it is likely that equilibrium was quickly reached (6). As a result, the measured changes in stature can be considered to reflect only the changes in disc height.

The spinal shrinkage recorded during a football game was greater than what was observed in previous research of other activities. The 7.62 mm decrease in stature in this study was greater than the 3.25 mm decrease during a 6 km run (6), 5.4 mm decrease during circuit-weight training (6), 3.6 mm decrease during weight training (3), and 1.81 mm during a drop jump regimen (2). Although shrinkage during participation in football was greater than other activities, it is not the greatest recorded occurrence of spinal shrinkage. The results of this study are comparable to the 7.8 mm loss in height during a 19 km run (6), and much less than the recorded loss of 11.2 mm during static loading with a 40 kg barbell (14).

A study that examined spinal recovery in pregnant women showed that women with lower back pain were unable to recover from spinal shrinkage to the same extent as women with no lower back pain (12). These findings suggest that lower back pain may be related to the diminished ability to recover, rather than the magnitude of the spinal shrinkage imposed during the task. Since there is believed to be a relationship between football and the development of lower back pain (5), this could suggest that football players may have a diminished ability to recover from spinal compression. This may be provoked by the magnitude and frequency of spinal loading that a football player is subjected to.

The inability of the spine to recover may also lead to serious acute and chronic injuries to the spine and discs. Football is considered to be one of the sports with the highest risks for the occurrence of spinal injuries (1). Many of the spinal injuries that are common in football include fractures, disc herniation, and spondylolysis (5). There may also be a positive correlation between the years of involvement in football and the chances of developing degenerative disc disease (5).

### Conclusions

Based on prior research, it can be assumed that more spinal shrinkage occurs during participation in a football game as compared to other less impactful activities because of a greater spinal load. Football players experience this load on the spine not only from running, but also from the static load from the weight of equipment and from direct impact forces caused by collisions with other players. Both these components, running (6) and static loading of the spine (14), have been found to cause accelerated loss in stature. This combination, along with the collisions during a football game, may be the reason for greater spinal shrinkage.

Although the present study was conducted on high school players, the results should be also consistent with higher levels of play. A previous study was conducted to compare the response to spinal loading between different age groups of males (10). When comparing younger males (18-25 years of age) and older males (47-60 years of age), it was found that regardless of age the pattern of spinal shrinkage between the two groups was similar. Based on this research, high school, college, and professional football players should experience a similar response to spinal loading during a game.

### Applications In Sport

In a game such as football, winning and losing can be a matter of inches. If a player decreases in height at the end of a game, the extra length could be the difference in catching a football, blocking a kick, or batting down a pass. Thus this height difference might be the difference between winning and losing. The degree of hydration may play a role in the extent of the creep effect and should not be overlooked. It may be beneficial to conduct future research on the effects of height decrease on athletic performance. Future research may also investigate if frequent practice of spinal unloading throughout a player’s career can prevent or reduce spinal injuries and back pain.

### References

1. Boden, B., Jarvis, C. (2009). Spinal injuries in sports. Physical Medicine and Rehabilitation Clinics of North America, 20(1), 55-68
2. Boocock, M. G., Garbutt, G., Linge, K., Reilly, T., Troup J. D. (1989). Changes in stature following drop jumping and post-exercise gravity inversion. Medicine and Science in Sports and Exercise, 22(3), 385-390
3. Bourne, N., Reilly, T. (1991). Effects of a weightlifting belt on spinal shrinkage. British Journal of Sports Medicine, 25(4), 209-212
4. Dowzer, C., Reilly, T., Cable, N. (1998). Effects of deep and shallow water running on spinal shrinkage. British Journal of Sports Medicine, 32, 44-48
5. Gerbino, P., d’Hemecourt, P. (2002). Does football cause an increase in degenerative disease of the lumbar spine? Current Sports Medicine Reports, 1(1), 47-51
6. Leatt, P., Reilly, T., Troup J. D. G. (1986). Spinal loading during circuit weight-training and running. British Journal of Sports Medicine, 20(3), 119-124
7. Markolf, K. (1972). Deformation of the thoracolumbar intervertebral joints in response to external loads. The Journal of Bone and Joint Surgery, A, 511-533
8. Nachemson, A. L. (1976). The lumbar spine: an orthopedic challenge. Spine, 1(1), 59-69
9. Perey, O. (1957). Fracture of the vertebral end plate in the lumbar spine: an experimental biomechanical investigation. Acta Orthop Surg Suppl, 25, 1-100
10. Reilly, T., Freeman, K. A. (2006). Effects of loading on spinal shrinkage in males Of different age groups. Applied Ergonomics, 37(3), 305-310
11. Reilly, T., Tyrrell, A., Troup, J. D. G. (1984). Circadian variation in human stature. Chronobiology International, 1, 121-126
12. Rodacki, C. L., Fowler, N. E., Rodacki, A. L., Birch, K. (2003). Stature loss and recovery in pregnant women with and without low back pain. Archives of Physical Medicine and Rehabilitation, 84(4), 507-512
13. Troup, J. D. G. (1979). Biomechanics of the vertebral column. Physiotherapy, 65(8), 238-244
14. Tyrrell, A., Reilly, T., Troup, J. D. G. (1984). Circadian variation in human stature and the effects of spinal loading. Spine, 10, 161-164

### Figures

#### Figure 1
Percent change in height pre- to post-game among high school athletes participating in American football.

![Figure 1](/files/volume-14/447/figure-1.jpg)

### Corresponding Author

Brian J. Campbell, PhD, ATC
Department of Kinesiology
University of Louisiana at Lafayette
225 Cajundome Blvd.
Lafayette, LA 70506
<campbell@louisiana.edu>
(337) 501-0634

Brian J. Campbell is the Curriculum Coordinator of Exercise Science at the University of Louisiana at Lafayette. Dave Bellar, PhD is the Exercise Physiology Lab Director at the University of Louisiana at Lafayette. Kristina Estis is a Certified Athletic Trainer for Champion Sports Medicine at St. Vincent’s Birmingham. Tori Guidry is an undergraduate student of Exercise Science at the University of Louisiana at Lafayette. Matt Lopez is a DPT student at the University of South Alabama.

U.S. Sports Academy2013-11-22T22:56:36-06:00January 3rd, 2012|Contemporary Sports Issues, Sports Coaching, Sports Exercise Science, Sports Studies and Sports Psychology|Comments Off

Black Women “DO” Workout!

Sherldine Tomlinson

### Abstract

Many studies cite that women of African descent have lower physical activity levels and/or are more sedentary, than White counterparts. The lack of exercise among Black women results in them experiencing compromised life quality and reduced life expectancy. To combat the striking rates of cardiovascular-related diseases and to increase habitual exercise, health promotion interventions have been initiated designed for Black populations. Female participants in Project Joy, a church-based cardiovascular education programme, reported weight loss and lower blood pressure. This paper reviews a similar initiative; Black Women “DO” Workout! (BWDW), which makes innovative use of social media to encourage physical activity (PA) among Black women.

**Key Words:** women of African descent; exercise; social media

### Introduction

Numerous studies indicate that women of African descent have lower physical activity levels, and/or are more sedentary, than their White counterparts. A 2006 national health survey on physical activity levels in Canada found that when compared to Caucasian Canadian females, both African Canadian and South Asian Canadian women less moderately active (Bryan, Tremblay, Pérez, Ardern & Katzmarzyk, 2004). In a similar American study looking at Black, White, Hispanic and Asian women, the data revealed that only 8.4% of African American women completed the recommended level of regular physical activity (Eyler, Matson-Koffman, Young, Wilcox, Wilbur, Thompson, Sanderson & Evenson, 2003). Unfortunately, this lack of exercise participation among Black women contributes to a significantly increased health risk of cardiovascular-related complications such as hypertension, type 2 diabetes and obesity (Flegal, Carroll, Ogden & Curtin, 2010). A lack of active activities also results in Black women experiencing compromised life quality and reduced life expectancy.

In an effort to combat these striking rates of cardiovascular-related diseases and complications among women of African descent, and to increase their habitual exercise involvement, a number of health promotion interventions have been initiated across North America. These include offerings of free exercise sessions especially designed for Black populations. Evaluative studies of these types of exercise programmes suggest they produce appreciably positive outcomes. The female participants in Project Joy, for instance, an African American church-based cardiovascular education programme, reported weight loss and improvement in blood pressure after participating in the included exercise sessions (Jakicic, Lang & Wing, 2010). This paper reviews a similar programme, Black Women “DO” Workout! (BWDW), which makes innovative use of social media to encourage exercise among women of African descent.

The BWDW initiative was created and founded by Crystal Adell, a fitness enthusiast and personal trainer. Adell uses Facebook as a tool to encourage regular exercise participation among African American women. She describes BWDW as a grassroots movement for championing weight loss and healthy living, a crusade she says is much needed to address the sobering statistics that show 49% of African American women are obese, while approximately 66% are overweight (US Dept of Health and Human Services 2000). Adell notes that using Facebook, which allows her to facilitate communication between Black women, is her “personal attempt to work with a collective who are more than willing to share their fitness goals, services and lifestyle changes towards healthier living”(personal communication, 2010). Information included on the site covers topics from exercising, body image, healthy eating habits and eating disorders to the importance of fitness and nutrition during pregnancy. Adell suggests that the success of BWDW is based on “information sharing and by showing praise, encouragement, inspiration and support in the way of sisterhood and by championing individuals for their fitness goals, which ultimately keep others motivated in to want to do the same”(C. Adell, personal communication, 2010).

There is little doubt that BWDW is a success. Thus far the site boasts more than 85,000 members, mainly women of African descent, many of whom regularly visit and post to the site. While African American women make up the largest block of BWDW users, the site also attracts international members from Canada, England, African and the Caribbean. Launching an online social media page as a means to promote exercise adherence and encourage healthy lifestyles among Black women is clearly a new, unique and successful approach. In addition to being innovative, the strategy is also in accordance with the American Healthy People 2010 mandate to (1) increase quality and years of healthy life and (2) eliminate health disparities that are associated with race, ethnicity and social economic status (US Dept of Health and Human Services 2000). One of Healthy 2010 physical activity and fitness objectives is to increase physical activity levels among Africa Americans as disparities in exercise and/or physical activity levels continue to exist with this group and other populations including Hispanics, the elders and people with disabilities (US Dept of Health and Human Services 2000). Indeed, the Black Women “Do” Workout social media campaign offers the opportunity for women of African descent to make regular exercise and a healthy lifestyle a part of their daily routine.

The BWDW web page is attractive, functional, and perhaps most importantly, interactive. Members are encouraged to participate through such means as submitting healthy recipes to the ‘Chef de Cuisine’ e-cookbook and posting images to the photo album which showcases before and after pictures. There are also announcements about the monthly BWDW ‘meet-ups’ held in locations across the United States for women who want to connect in person, as well as a service that informs members about personal trainers available in their area of the country. And the site has become a space of promotion for several members who now compete in fitness and body building competitions after experiencing significant body transformations via exercise and through healthy eating. In addition, a range of BWDW merchandise are available for sale on the site.

Health policy makers and promoters across North America have acknowledged the need for a better understanding of Black women’s exercise behaviour as a basis for improving their traditionally low physical activity rates. The BWDW programme offers an opportunity for those in the health field to learn from, and about, Black women and provides a potential avenue for the dissemination of health information. Adell herself notes these opportunities, commenting that she would like to see collaboration between BWDW and “organisations like the American Heart Association, Go Red For Women, the African American churches and corporate organisations” (C. Adell, personal communication, 2010). She believes these kinds of partnerships “will allow for an enhancement of services to local African American areas and communities that statistically have a high demand for wellness, health and fitness related support” (C. Adell, personal communication, 2010).

The BWDW programme presents a best practises model for building supportive and effective health networks within communities of African descent. The site has proven to be a powerful tool for increasing exercise rates and thus helping to address the troubling prevalence of cardiovascular-related and other diseases that continue to plague women of African descent. It is hoped the BWDW programme will inspire ongoing dialogue about finding other effective means of supporting Black women to become active, whether via other social media software, or in more traditional in-person venues.

### References

1. Adell, C. (November 2010). Telephone interview with author.
2. Bryan, S.N., Tremblay, M.S., Pérez ,C.E,, Ardern, C.I., Katzmarzyk, P.T. (2006, Jul/Aug). Physical Activity and Ethnicity: Evidence from the Canadian Community Health Survey. Can J Public Health. 2006 Jul-Aug; 97(4):271-6.
3. Eyler, A.A., Matson-Koffman, D., Young, D.R., Wilcox, S., Wilbur, J., Thompson, J.L., Sanderson, B., Evenson, K.R. Quantitative study of correlates of physical activity in women from diverse racial/ethnic groups: The Women’s Cardiovascular Health Network Project–summary and conclusions Am J Prev Med. 2003 Oct;25(3 Suppl 1):93-103.
4. Flegal, K.M., Carroll, M.D., Ogden, C.L., Curtin, L.R. Prevalence and Trends in Obesity Among US Adults, 1999–2008. JAMA. 2010 Jan 20; 303(3):235-41.
5. Jakicic, J.M., Lang, W., Wing, R.R. Do African-American and Caucasian overweight women differ in oxygen consumption during fixed periods of exercise? Int J Obes Relat Metab Disord. 2001 Jul; 25(7):949-53.
6. US Dept of Health and Human Services. Healthy People 2010: Understanding and Improving Health. 2000 Washington, DC: Government Printing Office.

### Corresponding Author

Sherldine Tomlinson, MSc.
2-440 Silverstone Drive,
Toronto, Ontario,
M9V 3K8,
<srtomlinson@students.ussa.edu>
416 749-7723

U.S. Sports Academy2013-11-22T22:58:08-06:00January 3rd, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Studies and Sports Psychology, Women and Sports|Comments Off

Effects of Augmented Visual Feedback and Stability Level on Standing Balance Performance using the Biodex Balance System

Steven F. Pugh; Robert J. Heitman, John E. Kovaleski; Chris M. Keshock; Shelley H. Bradford. University of South Alabama, Mobile, Alabama

### Abstract

This study compared the effects of visual feedback and stability level on standing balance performance using the Biodex Balance System. The analysis was performed on a 2 x 2 factorial design for the purpose of testing the main effects of the type of feedback (augmented visual feedback or none) and balance condition (less stable – Biodex level 2 or more stable – Biodex level 7). Four randomly assigned groups performed nine 20-second dynamic balance trials at stability level 2 or at level 7, depending on group assignment. The dependent variable was the mean stability index calculated as an average of the nine 20-seconds trials. A significant feedback by stability level interaction was found (P = .04). At stability level 7, augmented visual feedback mean stability index scores were better when compared to no augmented visual feedback (P < .001). No significant differences were found at stabilty level 2. Our data indicate that when balancing on a Biodex Balance System, as the degree of difficulty increases the effect of concurrent augmented visual-feedback is reduced.

**Key words:** balance, visual feedback, posture, augmented

### Introduction

Dynamic balance is critical for the acquisition and execution of motor skills. Balance training is used for injury rehabilitation, fall reduction, and sport and motor skill development. One commercial device used to quantify the degree of dynamic balance is the Biodex Balance System (4). The Biodex Balance System is an instrumented device that allows the tilting of a circular flat platform. The degrees of tilt from horizontal are measured and used to calculate an overall stability index (1). This index is a quantitative estimate used for the evaluation of an individual’s neuromuscular control as it pertains to the ability to maintain postural stability on an unstable surface (4).

One feature unique to the Biodex Balance System is that the stability of the balance platform can be increased or decreased, thus enabling control of the level of difficulty of the standing balance task. Biodex platform stability levels range from 1 to 8, with 8 being the most stable or least difficult to perform. Another feature of the Biodex Balance System is an attached LCD monitor that provides augmented visual feedback. The monitor provides information, via a screen tracing, concerning the subject’s ability to balance on the platform as the subject tries to maintain the cursor in the middle of the screen’s grid (4).

#### Theoretical Rationale

We were unable to find studies that compared the efficacy of augmented visual feedback at different levels of balance difficulty. As the stabilometer platform becomes less stable and thus more difficult, the ability to effectively process both intrinsic and augmented visual feedback may become increasingly difficult. This would be caused by a decrease in the amount of time available to process feedback information while balancing (11). The increase in time constraints as balance difficulty increases may also bring about a change in the type of motor control strategy used, i.e., open versus closed loop. During open looped motor control, the movement is executed entirely by the motor program without the use of sensory feedback (5,6). During closed looped motor control, an initial command is sent to the muscles which start the movement. The actual execution of closed loop movements, then, depends on sensory feedback which is used to monitor the movement (6). As the balance task becomes increasingly difficult, information processing demands may be increased because of the greater number and rate of balance adjustments that must be monitored. The less stable platform also brings about the rapid initiation of postural responses which limits the effectiveness of feedback mechanisms because of the inherent time delays (11). Horack and Nashner (1986) suggests that rapid postural actions are organized by a limited repertoire of open looped motor programs which do not require feedback for execution. Open looped strategies simplify the process of complex movement by incorporating knowledge of past experiences into motor programs enabling anticipation of events and reducing reliance on the slower feedback mediated responses associated with closed looped monitoring (6).
The purpose of this study was to determine the effects of concurrent augmented visual feedback and balance condition on standing balance performance using the Biodex Balance System. We postulate that concurrent augmented visual feedback will not be as effective at the less stable condition (Biodex stability level 2) when compared to the more stable condition (Biodex stability level 7). This hypothesized difference in the effects of visual feedback at the different levels of stability will be demonstrated in the form of a feedback by stability level statistical interaction.

### Methods

#### Participants

Forty healthy, male university students (age = 21.4 ± 3.6 years, mass = 70.3 ± 14.3 kg, height = 170 ± 3.1 cm) volunteered to participate in this study. No participants reported any sensory impairment or physical injury that hindered performance of the balance task, nor did any of the participants have previous experience with balance training on the Biodex Balance System. The study was approved by the university’s institutional review board, and informed consent was obtained from each individual before testing.

#### Instrumentation

The Biodex Stability System 945-300 (Biodex Medical Systems; Shirely, New York) was used to quantify bilateral standing balance (4). The system consists of a multi-axial tilting platform interfaced with a computer which records and calculates stability indices of standing balance. The platform stability can be varied by adjusting the resistance applied to the platform via one of 8 stability settings controlled by the system’s microprocessor-based actuator (14). Setting 1 represents the least stable platform and setting 8 the greatest platform stability. An 11.5 x 8.5 cm LCD display screen, located at eye level, provides visual feedback via a circular grid that visually shows a cursor tracing of the subject’s stability performance. The goal of dynamic balance testing on the Biodex Balance System during the augmented visual feedback condition is for the subject to maintain the cursor on the center of the circular grid for as long as possible during the test trial (8). During the no augmented visual feedback condition the goal was to keep the balance platform in a horizontal position while focusing straight ahead on a covered LCD screen. The Biodex Balance System has been shown to have high reliability.(8,14).

#### Procedures

Four randomly assigned groups with ten subjects in each group performed nine 20-second dynamic balance trials. The platform balance task required the subject to stand barefooted in a comfortable upright position with feet shoulder width apart with arms at sides. Groups 1 and 3 received augmented visual feedback during the balance task, while groups 2 and 4 received no augmented visual feedback. During the augmented visual feedback trials, the subject was instructed to keep the cursor directly in the middle of the screen while balancing on the platform. Group 1 performed the balance task at platform stability level 2 with augmented visual feedback. Group 2 performed at stability level 2 with no augmented visual feedback, which involved the subject performing the balance task while focusing straight ahead on a covered screen. Group 3 performed the balance task at stability level 7 with identical augmented visual feedback as used with group 1. Group 4 performed at stability level 7 with no augmented visual feedback which involved performing the balance task while focusing on a covered screen.

A familiarization session was conducted in which the participants were introduced to the testing protocol. Four 20-second practice trials were performed either at stability level 2 or at level 7, depending on group assignment. A 20-second rest period was allowed between trials. Participants assigned to the augmented vision condition practiced the balance task while being allowed to watch the balance tracing on the screen. Participants assigned to the no visual feedback condition practiced the balance task while viewing a covered screen.

Prior to the data acquisition trials, all subjects achieved a stable upright stance by positioning their feet shoulder width apart on the center of platform while looking straight ahead. The screen was either left uncovered or covered which was dependent on the assigned treatment group. The platform was then unlocked, requiring balance at the given stability level. Nine 20-second dynamic balance trials were performed. The same examiner (S.F.P.) administered the balance task in a non-distracting environment. If a participant lost control of balance that required grabbing the handrail, the trial was repeated. Three participants repeated one trial each. Two participants lost balance control more than once and were not included in the data analysis.

Platform stability levels 2 and 7 were chosen based on testing recommendations found in the literature and from pilot data (12). In addition, enough disparity between groups in terms of balance difficulty was necessary in order to ensure that statistical differences between feedback groups, if it in fact existed, could be found. A previous study reported that approximately nine 20-second trials could be safely performed in one practice session before participants reported fatigue (12). No participant was told their stability index scores or given any other information concerning their performance other than that given in the visual feedback conditions.

#### Statistical Analysis

A 2 x 2 factorial design was used to examine the effects of feedback and balance condition on dynamic balance performance using the Biodex Balance System. The first independent variable was type of feedback with two levels (augmented visual and no augmented visual). The second independent variable was balance condition with two levels (stability level 2 or stability level 7). The dependent variable was the mean stability index calculated as an average of the nine 20-seconds trials. The stability index is determined from the amount of platform tilt in degrees from a zero-centered balance-point (level). The index was calculated as the standard deviation of the platform displacement from horizontal obtained from each 20-second trial (4). A low stability index score indicates good dynamic stability or balance, whereas a high stability index scores indicates poor balance control.

A two-way univariate analysis of variance was conducted to examine the effects of the type of feedback and balance condition for the stability index score data. The α level was set a priori at .05. We used SPSS (version 18; SPSS Inc, Chicago, IL) to analyze the data.

### Results

Means and standard deviations for stability index scores are presented in Table 1. A significant main effect was found for balance condition (F_1,36 = 105.134, P = .001), which means participants assigned to the easier balance condition had better balance scores than those assigned to the more difficult balance task. No significant differences were found for the type of feedback groups (F_1,36 = 2.145, P = .152). More importantly, a significant feedback by balance condition statistical interaction was found (F_1,36 = 4.107, P = .04). At stability level 7, augmented visual feedback stability index scores were better when compared to no augmented visual feedback stability index scores (P < .001). However, for stability level 2, no difference was found between the feedback and no feedback conditions (P = .778).

### Discussion

We propounded the question of whether or not concurrent augmented visual feedback influences balance on the Biodex Balance System at different stability levels. The results supported our postulation that concurrent augmented visual feedback did not influence balance at the more unstable level (Biodex stability level 2). The importance of vision on postural control has long been known (2), however, the effect of concurrent augmented visual feedback on postural control while balancing on an unstable surface is equivocal. Most of the reported clinical studies that examined the effects of augmented visual feedback on postural control have involved stroke patients (7,11). Barclay-Goddard et al (2009) conducted a meta-analysis of the efficacy of concurrent augmented feedback using force platform standing balance in stroke patients. Their results showed no clear evidence that the use of force platform visual feedback improved standing balance. O’Connor et al (2008) compared the effects of different visual cues on postural sway in healthy older and younger adults. The older adults were able to habituate to repeated visual perturbations, however, it took more exposures compared to the younger adults. This finding suggests that aging impacts the ability to quickly modify augmented visual feedback for postural control. Hlavackova et al (2009) studied the effects of concurrent mirror feedback on upright stance control in elderly transfemoral amputees. Their results showed mirror feedback improved upright stance control.

Normal postural sway and equilibrium produced while standing on a flat stable surface may be controlled by lower level closed-looped feedback corrections. Standing balance on a stable surface primarily involves activating automatic postural reactions that are based on reflex actions rather than conscious control (12). The Biodex Balance System is unique in that it uses a moveable platform to create different levels of stability. Our rationale was that at the more difficult stability level 2 the influence of augmented visual feedback would be reduced as a result of change in motor control strategies. As platform stability decreased, open-looped strategies may have been used in an effort to maintain the platform in a horizontal position. Gutierrez et al (2009) in their clinical review state that during dynamic balance, open-looped mechanisms operate faster than closed looped mechanisms when perturbations to balance are imposed. This contention is supported by the study of Horak and Nasher (1986) who investigated the extent to which standing automatic postural reactions are controlled by motor programs. They adduce the theory that postural actions are organized by a limited repertoire of central programs selected in advance of movement. Organization of movements into motor programs simplifies the process of modifying movement by reducing reliance on concurrent sensory feedback. Our data suggest that the motor control strategies used when balancing on the Biodex Balance System may not be universal at all levels of difficulty.

### Conclusion

The learning/relearning of balance is a primary goal in many types of sport and wellness rehabilitation. Because of the importance of balance, there is a constant need for the identification of efficient and successful methods of balance testing and training as well as the delineation of variables that influence balance. We conclude that when balancing on the Biodex Stabilometer, the way feedback is administered is important because it significantly affects balance performance. Our study implies that, when balancing on a Biodex Balance System, as the degree of difficulty increases the influence of concurrent augmented visual-feedback is mitigated.

### Application in Sport

During the early stages of balance training, where the stabilometer tasks are performed at the more stable (less difficult) levels, augmented visual feedback may improve the performance of the balance task. However, as task difficulty increases the ability to use augmented visual feedback to guide postural reactions may decrease. These results infer that during Biodex stability training both open and closed looped motor control strategies are being used depending on the stability level being practiced. Under these conditions, previous research (12) has shown that variable practice, where several difficulty levels are practiced in a random order during any given training session, is a more efficient means of balance training when compared to constant practice where only one stability level is practiced during a training session. Variable practice has been shown to be more efficient in the development of open loop motor programs where rapid movements are required (6). Therefore, when doing Biodex balance training for sport a protocol that involves practicing several different levels of difficulty during one training session would be recommended. Future studies need to examine additional variables such as disability, injury and age in order to determine the most appropriate rehabilitation protocols.

### Tables

#### Table 1
Mean (± SD) Stability Index Scores Averaged Across Nine 20-Second Trials

Type of Feedback	Level 7	Level 2
Augmented Visual	1.62 ± .41	11.58 ± 4.54
No Augmented Visual	4.45 ± .83^a	11.12 ± 2.20

a. Difference between type of feedback at level 7 (P < .001).

### References

1. Arnold, B.L., Gansneder, B.M., & Perrin, D.H.(2005). Research Methods in Athletic Training. Philadelphia, PA: F.A. Davis.
2. Asakawa, K., Ishikawa H., Kawamorita T., Fuiyama Y., Shoji N., & Uozato H. (2007). Effects of ocular dominance and visual input on body sway. Jpn J Ophathalmol.,51:375-378.
3. Barclay-Goddard, R.E., Stevenson, T.J., Poluha, W., & Taback,S.P. (2009). Force platform feedback for standing balance training after stroke : The Cochrane Collaboration. New York, NY:Wiley.
4. Biodex Medical Systems. Balance System Operations and Service Manual. Shirley, NY: Biodex Medical Systems; 2003.
5. Davids K., Button C., & Bennett S. (2008). Dynamics of Skill Acquisition: A Constraints Approach. Champaign, IL: Human Kinetics.
6. Gutierrez, G.M., Kaminski, T.W., & Douex, A.T. (2009). Neuromuscular control and ankle instability: A clinical review. Phys Med Rehabil.,1(4):359-365.
7. Hartveld, A., & Hegarty, J.R. (1996). Augmented feedback and physiotherapy practice: Review report. Physiotherapy., 82(8):480-490.
8. Hinman, M. (2009). Factors affecting reliability of the biodex balance system: A summary of four studies. J Sport Rehabil., 9:240-252.
9. Hlavackova, P., Fristios, J., Cuisinier, R., Pinsault, N., Janura, M., & Vuillerme, N. (2009). Effect of mirror feedback on upright stance control in elderly transfemoral amputees. Arch Phys Med Rehabil., 90(11):1960-1963.
10. Horak, F.B., & Nashner, L.M. (1986). Central programming of postural movements: Adaptation to altered support-surface configurations. J Neurophysiol., 55(6):1369-1381.
11. Horak, F.B., Diener, H.C., & Nashner, L.M. (1989). Influence of central set on human postural responses. J Neurophysiol. ,62(4):841-853.
12. Kovaleski, J.E, Heitman, R.J, & Gurchiek L.R. (2009). Improved transfer effects on biodex balance system. Athletic Training & Health Care .,1(2):74-78.
13. O’Connor, K.W., Loughlin, P.J., Redfern, M.S., & Sparto,P.J. (2008). Posturaladaptations to repeated optic flow stimulation in older adults. Gait Posture., 28(3):385-391.
14. Schmitz R, Arnold B. (1998). (Intertester and intratester reliability of a dynamic balance protocol using the Biodex Stability System. J Sport Rehabil.,7:95-101.

### Corresponding Author

Dr. Steven Pugh, PhD.
HPELS Dept
University of South Alabama
HPE Building, RM 1016
171 Jaguar Drive
Mobile, Alabama 36688

<sfpugh@usouthal.edu>
(251) 461-8231

U.S. Sports Academy2013-11-22T22:58:23-06:00January 3rd, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Studies and Sports Psychology|Comments Off

The Effects of Conference Realignment on National Success and Competitive Balance: The Case of Conference USA Men’s Basketball

Martin M. Perline, G. Clayton Stoldt, Mark C. Vermillion

### Abstract

Collegiate athletic conferences serve multiple functions, including providing regular opportunities for members to compete in a relatively equitable environment and contributing to the financial well being of member institutions. Many conferences have undergone realignment in recent years, and the effects of those changes may impact the degree to which conferences realize those desired outcomes. The purpose of this paper is to assess how the churning of various institutions (i.e., changes in conference membership as institutions leave or are added) within Conference USA over a 10-year period affected the conference’s men’s basketball programs in regard to success at the national level and competitive balance within the conference. Both national success and competitive balance within the conference can significantly impact the financial well-being of the conference. Results of the study indicate decreases in both the competitive success of the men’s basketball programs at the national level and the in-conference competitive balance between the 2000-2001 through 2004-2005 and the 2005-2006 through 2009-1010 time periods.

**Key Words:** college athletics, competitive balance, conference realignment, basketball, conference USA

### Introduction

While amateur athletic conferences serve many functions for the individual member institutions, one important purpose is to attempt to enhance the financial status of their members. Although there are numerous ways this can be achieved, two important ways include (1) an attempt to accumulate a group of conference teams that are successful nationally against teams from rival conferences, and (2) an effort to insure teams are somewhat evenly matched within the conference—what is referred to as competitive balance.

Both winning against non-conference opponents and competitive balance are important as they tend to enhance the financial status of conference members. Indeed, “everyone loves a winner,” and is willing to attend games featuring successful teams more often and pay more to attend. Likewise, while people want their teams to win, fans like the games to be exciting and not a foregone conclusion as to the winner (5, 9, 12, 17, and 18).

Almost all major college athletic conferences have experienced changes in their membership within the last six years. These changes—commonly referred to as churning as members come and go—impact conferences in many ways. Competitive success at the national level and in-conference competitive balance are among the desired outcomes commonly impacted.

The purpose of this study was to assess how churning within Conference USA over a 10-year period has affected the conference’s men’s basketball programs in regard to success at the national level and competitive balance within the conference. The study is important because it assesses the impact of churning on two key but unrelated dimensions. A conference may be well balanced competitively but have negligible success at the national level. Conversely, a conference may be highly unbalanced, but the few teams who win consistently in-conference, may also enjoy considerable success at the national level. This can provide considerable financial rewards for the conference.

Competitive success at the national level and the financial well-being of conference members are inextricably linked because the number of teams a conference places in the NCAA national championship tournament and the number of victories those teams accrue determine the NCAA’s payout to participating conferences. Other studies have examined the effects of churning on competitive balance (see, for example, 13-15, 18) or the relationship between realignment and program revenue (8). This project is the first to combine both considerations, allowing for a more comprehensive assessment of churning outcomes.

### Related Literature

College conferences are comprised of college and universities that have established an association, one of the purposes of which is regular athletic competition (1). In 2011, Staurowsky and Abney (20) stated conferences “establish rules and regulations that support and sustain a level playing field for member institutions, while creating in-season and postseason competitive opportunities” (p. 149). And Rhoads (18) has observed that “(i)t is reasonable that conferences should be quite active in ensuring optimal levels of competitive balance” (p. 5).

Sustained competition among equitable teams is not the sole purpose of athletic conferences, however. Depken (4) observed:

> Sport leagues exist, in part, to insure profitability of their member franchises. Although the NCAA specializes in amateur sports, in which players do not receive direct salaries for their athletic performance, it is readily apparent that the schools that comprise the NCAA are often anxious to earn as much profit as possible from the sports programs (p. 4).

College athletic conferences contribute to their member institutions’ revenue by distributing rights fees from media agreements, corporate sponsorships, licensing and other forms of revenue received by the league (7). One source of revenue for NCAA Division I conferences are distributions from the annual Division I Men’s Basketball Championships. Payouts to conferences are based on financial values linked to units, which are accrued each time a conference member plays a game in the tournament (22). For example, a conference member advancing to the third round (i.e., “Sweet Sixteen”) is valued at three units. Payments to conferences are based on six-year averages of the financial values associated with units accrued (22).

#### Conference Churning

As illustrated in Table 1, 10 of the 11 conferences in the NCAA Division I’s Football Bowl Subdivision (FBS) experienced membership changes between 2005 and 2011. Additional changes at the FBS level are planned for 2012, and Quirk (16) has observed similar instability among non-FBS Division I conferences. Fort and Quirk (6) argued that football is the predominant consideration when institutions change conference affiliations. Competitive imbalance in existing conferences often results in churning because enhanced competitive balance is linked to desirable financial outcomes. Other scholars (5, 9, and 17) support that argument, observing that consumer uncertainty of a game’s outcome is linked to increased demand. Rhoads (18) specifically linked competitive balance with increased ticket sales and enhanced television rights fees.

Little scholarly attention has been devoted to effects of conference churning on competitive success against non-conference opponents. Minimal research has been devoted to evaluating conference realignment in terms of financial outcomes. One exception is Groza (8), who found FBS teams that changed conferences enjoyed an increase in attendance, even controlling for increased quality in competition. Of course, ticket sales (i.e., attendance) is only one of many financial factors that may be impacted by churning. Others include, but are not limited to, BCS and other bowl related revenue, NCAA tournament payouts; media rights fees, athletic donations, and corporate sponsorship fees.

Several studies have been conducted assessing the effects of conference churning on competitive balance within select sport programs. Rhoads (18) examined the Western Athletic and Mountain West conferences and found that membership changes in those conferences had resulted in enhanced competitive balance in football. The changes had no impact on competitive balance in men’s basketball however. Perline and Stoldt (13-14) conducted two studies focusing on competitive balance before and after the Big 8 Conference expanded to become the Big 12. Their first study focused on men’s basketball, for which they concluded that competitive balance within the sport decreased after the conference’s expansion (13).Their second study centered on football, for which they concluded that competitive balance improved after the merger (14). The same scholars also examined competitive balance in women’s basketball before and after the merger between the Gateway Collegiate Athletic Conference and Missouri Valley Conference (15). Multiple methods of assessing of competitive balance produced mixed results, with more measurements indicating more competitive balance after the merger.

#### Conference USA: History and evolution

Conference USA (C-USA) was formed in 1995 during a time of great upheaval in college athletics, which included the dissolution of the Southwest Conference and the formation of the Big XII in 1996 (21). C-USA is a Division I-A league that is divided into two competitive divisions: East and West. In the eastern division members include East Carolina University, Marshall University, the University of Memphis, Southern Mississippi University, University of Alabama- Birmingham, and the University of Central Florida. The western division includes the University of Houston, Rice University, Southern Methodist University, Tulane University, the University of Tulsa, and the University of Texas- El-Paso (2).

Since its inception in 1995, C-USA has endured much change. In the beginning the conference consisted of the University of North Carolina-Charlotte, the University of Cincinnati, DePaul University, the University of Houston (starting competition in 1996), Marquette University, the University of Memphis, Tulane University, St. Louis University, University of Alabama- Birmingham, and the University of Southern Florida. Mike Slive was appointed as the first commissioner, but left to become the commissioner of the Southeastern Conference in 2002 (19), leaving C-USA to appoint Britton Banowsky as its new commissioner. Additionally, in 2002, the C-USA headquarters moved from Chicago to Irving, Texas (2).

The major realignment of C-USA in 2005 was set in motion by larger conference realignment issues. The Atlantic Coast Conference’s (ACC) desire for football prestige triggered a mass reordering of conferences (23). Specifically, the ACC invited the University of Miami (FL), Virginia Polytechnic and State University, and Boston College to join their conference, thereby depleting the Big East Conference. In order to reestablish its conference, the Big East invited C-USA members the University of Cincinnati, DePaul University, Marquette University, the University of Louisville, and the University of South Florida (11). Additionally, four other institutions relinquished their C-USA memberships in 2005. Texas Christian University left to join the Mountain West Conference, the University of North Carolina-Charlotte and St. Louis University left to join the Atlantic 10 Conference, and the U.S. Military Academy (aka Army) became independent [11). Figure 1 lists the various institutions that have been members of C-USA, the dates of their memberships, and their current conference affiliations.

Crytzer (3) noted the unusual current geographical size of C-USA (over 1,500 miles separate the eastern most and western most schools) is a barrier for many of the member schools, which range in student population from 5,000 to 50,000. Additionally, conference defections over the past 15 years helped fuel speculation that future NCAA conference realignments could render C-USA obsolete.

### Methods

The purpose of this paper was to assess how churning within Conference USA over a 10-year period has affected the conference’s men’s basketball programs in regard to success at the national level and competitive balance within the conference. We employed two tactics each in evaluating winning success nationally and competitive balance.

#### Winning Success

In order to measure winning success, we measured the success of Conference USA teams against outside competition before the departure of teams in the 2004-05 season and after the addition of teams in the 2005-06 season. While the conference mean will always be .500, the non-conference mean could vary. We also measured the number of Conference USA teams that participated in the NCAA post-season tournament in both periods. The latter was a major source of revenue to the conference and ultimately to each team. The value of each appearance in the tournament varied from $94,086 in 2001 to $222,206 in 2010 and has continued to grow in magnitude over time. These values were paid annually for six years. Thus one appearance in 2001 would be worth $564,516 to the conference and one appearance in 2010 would be worth $1,333,236 to the conference over the six-year period. It is, therefore, readily apparent that the more appearances a conference makes in the tournament, the more revenue it receives.

#### Measuring Competitive Balance

There were several methods used in measuring competitive balance. The most appropriate of these methods depended on what the researcher was attempting to specifically measure (9). Methods most appropriate for measuring competitive balance within a given season may be different from those used to measure competitive balance between seasons (10). To measure competitive balance within a given year, we rely on the standard deviation of winning percentages and to measure competitive balance between seasons, we use the Hirfindahl-Hirschman Index (HHI).

##### Standard Deviation of Winning Percentages

Possibly the method most often used to measure competitive balance within a conference in a given season is the standard deviation of winning percentages. Since there will, outside of a tie, always be one winner and one loser for each game, the average winning percentage for the conference will always be .500.

In order to gain insight into competitive balance, we would need to measure the dispersion of winning percentages around this average. To do this we can measure the standard deviation. This statistic measures the average distance that observations lie from the mean of the observations in the data set. The formula for the standard deviation is:

![Formula 1](/files/volume-14/441/formula-1.jpg)

The larger the standard deviation, the greater is the dispersion of winning percentages around the mean, and thus the less competitive balance.

#### Championship Imbalance

While using the standard deviation as a measure of competitive balance provides a good picture of the variation within a given season, it does not indicate whether it is the same teams winning every season, or if there is considerable turnover among the winners, i.e., whether there is between season variation. Therefore, another method economists have used to measure imbalance is the Hirfindahl-Hirschman Index (HHI), which was originally used to measure concentration among firms within an industry ([10). We determine the HHI by counting the number of times a team won a championship during a given period, summing those values and then dividing by the number of years in the period considered.

![Formula 2](/files/volume-14/441/formula-2.jpg)

Using this method, the greater the number of teams that achieve championship status over a specific time period, the greater would be the competitive balance.

### Results

#### Winning Success

Table 3 gives the winning percentages for Conference USA teams against non-conference opponents in the two periods under consideration. For the earlier period the mean winning percentage was .606 and for the latter period it was .577—an approximate 5% differential favoring the earlier period. It should be noted that the highest winning percentage over this total period was .638 (2003-04) and the lowest was .539 (2005-06). The data suggest that Conference USA was more successful against outside competition in the earlier period.

Table 4 reflects the number of Conference USA members participating in the NCAA post-season tourney, the unit value of each appearance and the dollars received in each year from conference participation. The data in Table 4 indicates that in the 2001-05 period the conference received $30,722,250, and in the 2006-10 period the conference receipts were only $21,269,388. These numbers reflect a participation of 39 appearances in the earlier period and 19 in the latter period. Consequently, even though the dollars per unit were considerably higher in the latter period, the conference earned almost $10 million more in the earlier period.

#### Competitive Balance

##### Standard Deviation of Winning Percentages

Tables 5 and 6 display the winning percentage for men’s basketball for the years 2000-01 through 2004-05 and for 2005-06 through 2009-10. Table 7 displays the standard deviations for both time periods.

As shown in Table 7, the mean standard deviation was .208 for 2000-01 through 2004-05, and it was .250 for 2005-06 through 2009-10. As indicated above, the lower the standard deviation the greater the competitive balance. This is a 20.3% difference favoring competitive balance in the earlier period. It should also be pointed out that not only was the mean standard deviation lower for the earlier period, but the lowest standard deviation for the period, .173 (2000-01), was lower than the lowest standard deviation for the later period, .238 (2006-07). Likewise the highest standard deviation for the later period, .261 (2009-10) was higher than the highest standard deviation, .236 (2003-04) in the earlier period. As a matter of fact the standard deviation was lower every year of the earlier period than for the later period.

Why the standard deviation was lower for the earlier period can also be seen by the range of the means in the two periods. As indicated in Table 5 (the earlier period) the range was a high of .725 (Cincinnati) and a low of .266 (East Carolina). This was a range of .459 from top to bottom of the standings. On the other hand, and as indicated Table 6 (the latter period), the means ranged from a high of .948 (Memphis) to a low of .216 (East Carolina). This was a range of .732 from top to bottom. Indeed in this period Memphis had a perfect record of 16-0 in three of the five years investigated, while two teams, East Carolina and SMU, had losing records all five years.

##### Championship Imbalance

Using the data from Table 8 to construct the HHI to measure competitive balance between the two periods we find the results are consistent with the results found when using the standard deviation. Using the regular season standings we find that during the 2000-01 through 2004-05 period (see Table 8), three teams–Cincinnati, Marquette and Louisville–won the championship once each. Multiple teams shared the title for two seasons–2001-02 when Cincinnati and Southern Mississippi tied and 2003-04 when there was a five-team (DePaul, Memphis, Cincinnati, UAB and Charlotte) tie for first. If we give one point for each outright championship, .5 for a two-team tie, and .2 for a five-team tie, we find:

HHI = 1.7² + 1² + 1² + .5² + .2² + .2² + .2² + .2²= 2.89 + 1 + 1 + .25 + .04 + .04 + .04 + .04 = 5.3/5 = 1.06

When measuring the HHI over the 2005-06 through 2009-10 period (see Table 8), we find considerably less competitive balance. During this period one team, Memphis, won the regular season championship four times and another team, UTEP, won the championship the other year. Measuring these results we find:

HHI= 4² + 1² = 16 + 1 = 17/5 = 3.4

These calculations indicate less competitive balance during the 2005-06 through 2009-10 period.

### Conclusions

The results of this study offer strong evidence that the churning that occurred in C-USA over the 10-year period 2000-2001 through 2009-2010 had negative effects for men’s basketball in terms of both competitive success at the national level and competitive balance within the conference. Both of the indicators of national success—winning percentage against non-conference opponents and revenue derived from member appearances in the national championship tournament—were better during the earlier period than the latter. In addition both measures of competitive balance within the conference—standard deviation of winning percentages and the HHI—indicate more competitive balance in the earlier period.

It is also important to note that while this study examined the financial ramifications of C-USA’s success, or lack thereof, in the men’s basketball national championship tournament, that revenue stream was but one of several that determine the overall financial well-being of the conference and its members. However, Crytzer (3) has observed that as the financial benefits of the C-USA’s success in men’s basketball from 2003-2005 in particular run out, the conference’s long-term viability may be at risk. Clearly, multiple factors relating to a variety of sport programs will affect whether C-USA is susceptible to additional churning and/or will even survive. However, the findings of this study pertaining to one flagship sport, men’s basketball, indicate the conference faces significant challenges in the near future.

### Applications In Sport

While the results of this study are not to be generalized to other sports programs or other conferences, they do align with the findings of other studies that have examined the effects of conference churning on competitive balance in men’s basketball. While Rhoads (9) found realignment in the Western Athletic and Mountain West conferences had enhanced competitive balance in football, it did not have the same positive effect in men’s basketball. And two studies on the effects of churning in the Big 12 found improved competitive balance in football (14) but diminished competitive balance in men’s basketball (13). Since football is recognized as the primary factor in conference realignment (6), it may be that conference churning commonly results in desirable outcomes for that one sport program while others (i.e., men’s basketball) do not enjoy the same benefits. Given the potential for revenue generation in men’s basketball, and perhaps a few other sport programs aside from football (depending on the institution), the appeal of competitive success on a national level, and the importance of in-conference competitive balance, university and college leaders are well advised to consider likely ramifications for multiple sport programs when considering conference affiliation options.

### Tables

Conference	Last Change	Description
Atlantic Coast Conference	2005	Boston College joins
Big East Conference	2011	Texas Christian joins
Big Ten Conference	2011	Nebraska joins
Big 12 Conference	2011	Two institutions withdraw
Conference USA	2005	Five institutions join, four withdraw
Mid-American Conference	2007	Temple joins as football-only member
Mountain West Conference	2011	Two institutions withdraw, Boise State joins
Pac-10 Conference	2011	Two institutions join
Southeastern Conference	1990	Two institutions join
Sun Belt Conference	2010	New Orleans withdraws
Western Athletic Conference	2011	Boise State withdraws

#### Table 2
Evolution of C-USA, 1995-2011

Conference	Last Change	Description
UNC Charlotte	1995-2005	Atlantic 10
Cincinnati	1995-2005	Big East
DePaul	1995-2005	Big East
Houston	1995-Present	C-USA
Louisville	1996-Present	C-USA
St. Louis	1995-2005	Atlantic 10
Southern Miss	1995-Present	C-USA
Tulane	1995-Present	C-USA
Alabama, Birmingham	1999-Present	C-USA
Southern Florida	1995-2005	Big East
Central Florida	2005-Present	C-USA
Texas Christian	1999-2005	Mountain West¹
East Carolina	1996-Present	C-USA
Army	1997-2005	Independant
Marshall	2005-Present	C-USA
Rice	2005-Present	C-USA
Southern Methodist	2005-Present	C-USA
Tulsa	2005-Present	C-USA
Texas, El-Paso	2005-Present	C-USA

1. Moving to the Big East in 2011-2012 season

#### Table 3
Conference Winning Percentage in Games Against Non-Conference Opponents

Year	Winning Percentage
2000-01	.550
2001-02	.622
2002-03	.607
2003-04	.638
2004-05	.615
5-Year Mean	.606
2005-06	.539
2006-07	.590
2007-08	.585
2008-09	.589
2009-10	.583
5-Year Mean	.577

#### Table 4
NCAA Tournament Appearances and Related Revenue

Year	NCAA Appearances	Unit Volume ($)	Yearly Value ($)	6 Year Value ($)
2001	5	94,086	470,430	2,822,580
2002	4	100,672	402,688	2,416,128
2003	9	130,697	1,176,273	7,057,638
2004	11	140,964	1,550,604	9,303,624
2005	10	152,038	1,520,380	9,122,280
5-Year Totals	39	618,457	5,120,375	30,722,250
2006	5	163,981	819,905	4,919,430
2007	4	176,864	707,456	4,244,736
2008	5	191,013	955,065	5,730,390
2009	3	206,020	618,060	3,708,360
2010	2	222,206	444,412	2,666,472
5-Year Totals	19	960,084	3,544,898	21,269,388

#### Table 5
Winning Percentage for Men’s Basketball Teams, 2000-01 through 2004-05

Year	Cin	Char	Marq	StL	Lou	DeP	SouM	Mem	USF	UAB	Hou	Tul	ECar	TCU
2000-01	0.688	0.625	0.563	0.5	0.5	0.25	0.688	0.625	0.563	0.5	0.375	0.125
2001-02	0.875	0.688	0.813	0.563	0.5	0.125	0.25	0.75	0.5	0.375	0.563	0.313	0.313	0.375
2002-03	0.562	0.5	0.875	0.562	0.688	0.5	0.313	0.813	0.438	0.5	0.375	0.5	0.188	0.188
2002-04	0.75	0.75	0.5	0.563	0.563	0.75	0.375	0.75	0.063	0.75	0.188	0.25	0.313	0.438
2004-05	0.75	0.75	0.438	0.375	0.875	0.625	0.25	0.563	0.313	0.625	0.563	0.25	0.25	0.5
Mean	0.725	0.663	0.638	0.513	0.625	0.45	0.375	0.700	0.375	0.55	0.413	0.288	0.266	0.375

#### Table 6
Winning Percentage for Men’s Basketball Teams for 2005-06 through 2009-10

Year	Memphis	UAB	UTEP	Hou	UCF	Tulsa	Rice	Tulane	Marshall	SMU	So.Miss	E.Car.
2005-06	0.929	0.857	0.786	0.643	0.5	0.429	0.429	0.429	0.357	0.286	0.214	0.143
2006-07	1	0.438	0.375	0.625	0.688	0.563	0.5	0.563	0.438	0.188	0.563	0.063
2007-08	1	0.75	0.5	0.688	0.563	0.5	0	0.375	0.5	0.25	0.563	0.313
2008-09	1	0.688	0.625	0.625	0.438	0.75	0.25	0.438	0.438	0.188	0.25	0.313
2009-10	0.813	0.688	0.938	0.438	0.375	0.625	0.063	0.188	0.688	0.438	0.5	0.25
Mean	0.948	0.684	0.645	0.604	0.512	0.573	0.248	0.399	0.484	0.27	0.418	0.216

#### Table 7
Standard Deviation for Winning Percentages

Year	SD
2000-01	0.173
2001-02	0.223
2002-03	0.202
2003-04	0.236
2004-05	0.205
5-Year Mean SD	0.208
2005-06	0.253
2006-07	0.238
2007-08	0.256
2008-09	0.243
2009-10	0.261
5-Year Mean SD	0.250

#### Table 8
Regular Season Conference Champions, 2000-01 through 2004-05

Year	Champion(s)
2000-01	Cincinnati, Southern Mississippi
2001-02	Cincinnati
2002-03	Marquette
2003-04	DePaul, Memphis, Cincinnati, UAB, Charlotte
2004-05	Louisville
2004-05	Louisville
2005-06	Memphis
2006-07	Memphis
2007-08	Memphis
2008-09	Memphis
2009-10	UTEP

### References

1. Abbott, C. (1990). College athletic conferences and American regions. Journal of American Studies, 24, 220-221.
2. C-USA: Official site of Conference USA. (2011). About Conference USA. Retrieved March 21, 2011 from <http://conferenceusa.cstv.com/ot/about-c-usa.html>
3. Crytzer, J. (2009, August 30). The future of college football and the death of Conference USA 1995-2011 [Web log post]. Retrieved from <http://bleacherreport.com/articles/245204-the-future-of-college-football-and-the-death-of-conference-usa-1995-2011>
4. Depken II, C.A. (2011). Realignment and profitability in Division IA college football. Unpublished paper. Retrieved April 2, 2011 from <http://www.belkcollege.uncc.edu/cdepken/P/confsize.pdf>
5. Depken, C.A., & Wilson, D. (2005). The uncertainty outcome hypothesis in college football. Department of Economics, University of Texas-Arlington.Paper under review.
6. Fort, R., & Quirk, J. (1999). The college football industry. In J. Fizel, E. Gustafson and L. Hadley (Eds.) Sports economics: Current research (pp. 11-26). Westport, CT: Praeger.
7. Grant, R.R., Leadley, J., & Zygmont, Z. (2008). The economics of intercollegiate sports. Mountain View, CA: World Scientific.
8. Groza, M.D. (2010). NCAA conference realignment and college football attendance.Managerial and Decision Economics, 31, 517-529.
9. Humpreys, B. (2002). Alternative measures of competitive balance. Journal of Sports Economics, 3, (2), 133-148.
10. Leeds, M., & von Allmen, P. (2005).The Economics of Sports.Boston: Pearson-Addison Wesley.
11. Nunez, T. (2010, June 6). Conference realignment will have ripple effect on Conference USA. The Times-Picayune. Retrieved from <http://www.nola.com/tulane/index.ssf/2010/06/conference_realignment.html>
12. Paul, R.J., Wachsman, Y., & Weinbach, A. (2011). The role of uncertainty of outcome and scoring in the determination of satisfaction in the NFL. Journal of Sports Economics, 12, 213-221.
13. Perline, M.M., & Stoldt, G.C. (2007a). Competitive Balance and the Big 12. The SMART Journal, 4 (1), 47-58.
14. Perline, M.M., & Stoldt, G.C. (2007b). Competitive balance and conference realignment: The case of Big 12 football. The Sport Journal, 10 (2). <http://www.thesportjournal.org/2007Journal/Vol10-No2/Perline08.asp>.
15. Perline, M.M., & Stoldt, G.C. (2008). Competitive balance in women’s basketball: The Gateway Collegiate Athletic Conference and Missouri Valley Conference merger.Women in Sport and Physical Activity Journal, 17 (2), 42-49.
16. Quirk, J. (2004).College football conferences and competitive balance. Journal of Managerial and Decision Economics, 25, 63-75.
17. Rein, I., Kotler, P., & Shields, B. (2006). The elusive fan.New York: McGraw-Hill.
18. Rhoads, T.A. (2004). Competitive balance and conference realignment in the NCAA. Paper presented at the 74th Annual Meeting of Southern Economic Association, New Orleans, LA.
19. SECSports.com (2011). About the SEC. Retrieved March 21, 2011 from http://www.secdigitalnetwork.com/SECSports/Home.aspx
20. Staurowsky, E.J., & Abney, R. (2011). Intercollegiate athletics. In P.M. Pedersen, J.B. Parks, J. Quarterman, & L. Thibault (Eds.) Contemporary sport management (4th ed., pp. 142-163). Champaign, IL: Human Kinetics.
21. The State of Conference Realignment. (ND). The national championship issue: Perspectives on college football. [Web log post]. Retrieved March 22, 2011 from <http://thenationalchampionshipissue.blogspot.com/2008/01/state-of-conference-realignment.html
22. Where the money goes. (2010). Champion. Retrieved April 2, 2011 from http://www.ncaachampionmagazine.org/Exclusives/WhereTheMoneyGoes.pdf>
23. Wieberg, S. (2005, June 29). Conference shakeup continues as schools seek right fit. USA Today. Retrieved March 22, 2011 from <http://www.usatoday.com/sports/college/2005-06-28-conference-hopscotch_x.htm>

### Corresponding Author

G. Clayton Stoldt
Wichita State University
Department of Sport Management
1845 Fairmount
Wichita, KS 67260-0127
clay.stoldt@wichita.edu
P: (316) 978-5441

Martin Perline is a professor and Bloomfield Foundation fellow in the Department of Economics at Wichita State University. G. Clayton Stoldt is chair and professor in the Department of Sport Management at Wichita State University. Mark Vermillion is an assistant professor in the Department of Sport Management at Wichita State University.

U.S. Sports Academy2015-11-08T07:40:19-06:00January 3rd, 2012|Contemporary Sports Issues, Sports Coaching, Sports Management, Sports Studies and Sports Psychology|Comments Off