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Dissertations / Theses on the topic 'College football'

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1

Adams, Mitchell. "The Financial Determinants of College Football." Honors in the Major Thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1545.

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There is a certain tradition, pageantry, rivalry, and glory in college football. It is well known that college football can be a big time money maker and sometimes covers the costs of other athletic teams within a school. However, it is also recognized that many college football programs lose money or struggle to break even. Thus, there is tremendous variability that exists in the amount of resources a school may have and the outcomes in athletic success, while there is not always a one to one correspondence between the two. The purpose of this study is to examine and analyze the quantifiable determinants of success, considering both financial and nonfinancial variables. The pressure to win, and do so immediately; brand; and outdo other schools in the facility “arm’s race” has reached unprecedented levels.
B.S.B.A.
Bachelors
Business Administration
Finance
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2

McCluskey, John M. "Music as Narrative in American College Football." UKnowledge, 2016. http://uknowledge.uky.edu/music_etds/57.

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American college football features an enormous amount of music woven into the fabric of the event, with selections accompanying approximately two-thirds of a game’s plays. Musical selections are controlled by a number of forces, including audio and video technicians, university marketing departments, financial sponsors, and wind bands. These blend together in a complex design that offers audible and visual stimulation to the audience during the game’s pauses. The music chosen for performance in these moments frequently communicates meaning beyond entertainment value. Selections reinforce the game’s emotional drive, cue celebrations, direct specific audience actions, and prompt behaviors that can directly impact the game. Beyond this, music is performed to buttress the successes of the home team, and to downplay its failures. As this process develops over the course of the game, the musical selections construct a sonic narrative that comments on the game’s action, enhancing or suppressing audience members’ emotional reactions to the events on-field, and informing their understanding of the game’s developments. By preparing for and responding to in-game situations, music creates a coherent narrative out of football’s unpredictable events. This project demonstrates the use of musical narrative in American college football via close consideration of case studies of games representing five of the most prominent college athletic conferences, the Atlantic Coast Conference, the Big 10, the Big 12, the Pac 12, and the Southeastern Conference. These sources include interviews with college football’s musical agents, including sound operators, band directors, and producers, as well as documentation of the games’ on-field developments and the music that accompanies them. Finally, this project utilizes of musical narrative as a new means of critically considering the power lines of race and gender in college football culture.
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3

Szabo, Miller Ashley Jenette. "Perceived Risk for Concussions in College Football Players." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1374014349.

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4

Turick, Robert Michael. "Coaching Motivations Behind Over-Signing in College Football." Bowling Green State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1400199034.

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5

Yazawa, Daigo. "Environment Change: An Analysis of College Football Operations." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1404234244.

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6

Taylor, Jessica Lee. "Evaluation of Noise in a College Football Stadium." University of Toledo Health Science Campus / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=mco1461862690.

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7

WOODS, MOLLY ELIZABETH. "COLLEGE FOOTBALL PLAYERS BELIEFS AND USE OF CREATINE SUPPLEMENTATION." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1005683621.

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8

Limbach, Christopher M. "College Football Coaches and Social Media| A Qualitative Content Analysis of SEC Football Program Facebook Fan Pages." Thesis, University of Louisiana at Lafayette, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1592621.

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College football has become an enormous aspect of American culture. The effects have permeated into the growing realm of social media, particularly Facebook. College football budgets and the salaries of the head coaches are higher than ever before, and they are only getting larger. Further research is necessary to study how public relations practitioners in college athletic departments can understand the link between social media and college football coaches. This study qualitatively analyzes the Facebook pages of the most dominant college football conference, the Southeastern Conference (SEC). The study analyzes if Facebook fans for each SEC football program view the head coaches as heroes, as well as gauge the scope and existence of Facebook fan comments that favorably or unfavorably reference the head coach. A qualitative content analysis of SEC football Facebook fan comments during the peak competition month of November answers these questions. This study shows that certain fans in the SEC, do indeed, view their head coach as a hero. The study also demonstrates the themes, particularly fan revolt against a losing head coach and the importance of rivalry games as it relates to positive and negative fan comments about the SEC head coaches. The effect of this study on the field of public relations is also discussed.

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9

Sibal, Kenneth M. "The Organizational Life of the College Football Player: An Exploration of Injury, Football Culture, and Organizational Dialectics." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1304636074.

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10

Jones, Charles W. "The Decline in Student Attendance for Bigtime College Football Programs." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/3964.

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11

Baird, Neil P. "The embodied literacies of collegiate football players." abstract (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3289457.

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12

Hill, Jimmy Matthew. "Extra-curricular activities on the field subcultural learning of in-game infractions among collegiate football players /." Birmingham, Ala. : University of Alabama at Birmingham, 2009. https://www.mhsl.uab.edu/dt/2009m/hill.pdf.

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13

Tatum, Bart A. "The impact of intercollegiate football participation on personal and social development of college upperclassmen /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3074446.

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14

Destache, Travis. "Identifying key factors of choice of college among Wisconsin high school football players." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009destachet.pdf.

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15

Everhart, Craig. "AN IN-DEPTH ANALYSIS OF THE USE OF FOOTBALL VIDEO TECHNOLOGY: A STUDY OF COLLEGE FOOTBALL VIDEO COORDINATORS." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1176694982.

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16

Reinke, Derek R. "Predictors of Satisfaction with Sport Leadership in Small-College Football Players." DigitalCommons@USU, 2001. https://digitalcommons.usu.edu/etd/6159.

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This study investigated eight possible predictors of satisfaction levels in smallcollege football players. The sample (N = 442) included eight nonscholarship football programs from the NCAA Division III or NAIA classifications. Measures included Zhang's Revised Version of Chelladurai's Leadership Scale for Sport, and a seven-item subscale of the Scale of Athlete Satisfaction. The six subscales of the Revised Leadership Scale for Sport each yielded a significant linear relationship with the satisfaction outcome measure: social support (I= .696), situational consideration (I= .665), positive feedback (r = .654), teaching and instruction (I= .627), democratic behaviors (I = .501), and autocratic behaviors (I= -.372). Minimal correlations were found between satisfaction and the two other predictors evaluated: each team's win/loss percentage (I= .164) and each player's estimated amount of playing time (r = .121). With the large sample size, these two modest correlations were also statistically significant. However, as neither accounted for more than 2% of the total variance in satisfaction levels, they are not likely to have practical significance. The predictors were also evaluated via stepwise multiple regression analysis to assess which combination(s) would account for more of the overall variance. Unfortunately, a mild case of multicollinearity made it difficult to attribute relative importance to the predictors. For example, the situational consideration subscale recorded especially high correlations with several of the other Revised Leadership Scale for Sport subscales. Overall, results indicate that specific coaching behaviors are more associated with player satisfaction in small-college players than are reported in previous samples of other types of athletes. As such, coaches are encouraged to provide support for players in off-the-field endeavors, offer positive feedback on performance goals, and combine knowledge of the sport with the ability to make adjustments in strategies and coaching behaviors. A comparison of the current sample of nonscholarship, small-college football players and a sample of full-scholarship (NCAA Division I-AA) football players revealed several interesting differences. In the current sample, the correlations between social support and satisfaction, and democratic behavior and satisfaction, were substantially higher. Additionally, a much stronger negative relationship existed between autocratic coaching behaviors and satisfaction among small-college players.
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17

Russell, Wade O'Brien. "Isokinetic testing of football players by position." Virtual Press, 1992. http://liblink.bsu.edu/uhtbin/catkey/845932.

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The purpose of this study was to determine if isokinetic testing could be used as an effective means of assessing a players potential to play a certain position. The subjects were twenty four male division IA college football players. The Cybex 340 isokinetic testing device, twenty and forty yard dash, and standing broad jump were used to collect data. An analysis of variance test with repeated measures was used for the statistical analysis (ANOVA). Based on the findings of this study, no significant difference was found between offensive and defensive lineman, through isokinetic testing. However, a significant difference was found between the groups in the twenty and forty yard dash, and in the standing broad jump. Significant differences in these areas may have been attributed to a significant difference in body weight between the two groups tested.
School of Physical Education
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18

Picariello, Lee Anthony. "A college football player's style of attention, perceptions about pain, and response to pain and injury." View full text, 2004.

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19

Hamilton, J. "Faith and football : masculinities at Christian Brothers' College, Wakefield Street, 1879-1912 /." Title page, contents and abstract only, 1999. http://web4.library.adelaide.edu.au/theses/09EDM/09edmh218.pdf.

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20

Sullivan, Elisha R. "The influence of conference championship games on competitive balance in college football." Kansas State University, 2010. http://hdl.handle.net/2097/7051.

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Master of Arts
Department of Economics
Yang M. Chang
College football thrives on the ideas that each school has what it takes to be the best, rivalries are of major importance, and either team can win the game. Competitive balance is what keeps these thoughts alive, offering the last team in the conference the chance to beat their top-ranked opponent, or the mediocre middle-rank team the chance to win a post-season bowl game. Competitive balance provides the level of uncertainty of game outcome that keeps fans coming back every season. Previous research has examined many variables that have an effect on competitive balance. The purpose of this report is to step forward from where previous studies left off and examine the effect of the conference championship game on competitive balance. Five of the eleven NCAA Division I Football Bowl Subdivision conferences currently determine their conference champion by holding a championship game at the end of the season. Recent conference realignments bring about the possibility for two more conferences to establish championship games. Does hosting a conference championship game improve competitive balance within the league? This study examined several measures of competitive balance, including standard deviation measures, the competitive balance ratio, and Herfindahl-Hirschman Index. Results suggest a slightly higher level of competitive balance for conferences hosting championship games versus those that do not. However, these results are not statistically significant, and this higher level of competitive balance could be explained by the larger membership of conferences hosting championship games.
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21

Yanity, Molly. "An analysis of how messages about big-time college football reinforce power." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1365178005.

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22

Dixon, Anthony W. "Estimating the private consumption benefits derived from the college football game experience." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1247509042/.

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23

Bigsby, Kristina Gavin. "From hashtags to Heismans: social media and networks in college football recruiting." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6371.

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Social media has changed the way that we create, use, and disseminate information and presents an unparalleled opportunity to gather large-scale data on the networks, behaviors, and opinions of individuals. This dissertation focuses on the role of social media and social networks in recruitment, examining the complex interactions between offline recruiting activities, online social media, and recruiting outcomes. Specifically, it explores how the information college football recruits reveal about themselves online is related to their decisions as well as how this information can diffuse and influence the decisions of others. Recruitment occurs in many contexts, and this research draws comparisons between college football and personnel recruiting. This work is one of the first large-scale studies of social media in college football recruiting, and uses a unique dataset that is both broad and deep, capturing information about 2,644 recruits, 682 schools, 764 coaches, and 2,397 current college football players and tracking offline and online behavior over six months. This dissertation comprises three case studies corresponding to the major decisions in the football recruiting cycle—the coach’s decision to make a scholarship offer, the athlete’s decision to commit, and the athlete’s decision to decommit. The first study investigates the relationship between a recruit’s social media use and his recruiting success. Informed by previous work on impression management in personnel recruitment, I construct logistic classifiers to identify self-promotion and ingratiation in 5.5 million tweets and use regression analysis to model the relationship between tweets and scholarship offers over time. The results indicate that tweet content predicts whether an athlete will receive a new offer in the next month. Furthermore, the level of Twitter activity is strongly related to recruiting success, suggesting that simply possessing a social media account may offer a significant advantage in terms of attracting coaches’ attention and earning scholarship offers. These findings underscore the critical role of social media in athletic recruitment and may benefit recruits by informing their branding and communication strategies. The second study examines whether a recruit’s social media activity presages his college preferences. I combine data on recruits’ college options, recruiting activities, Twitter connections, and Twitter content to construct a logistic classifier predicting which school a recruit will select out of those that have offered him a scholarship. My results highlight the value of social media data—especially the hashtags posted by the athlete and his online social network connections—for predicting his commitment decision. These findings may prove useful for college coaches seeking innovative methods to compete for elite talent, as well as assisting them in allocating recruiting resources. The third study focuses on athletic turnover, i.e., decommitments. I construct a logistic classifier to predict the occurrence of decommitments over time based on recruits’ college choices, recruiting activities, online social networks, and the decommitment behavior of their peers. The results further underscore the power of online social networks for predicting offline recruiting outcomes, giving coaches the tools to better identify vulnerable commitments.
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24

Falkstein, David Lawrence. "Prediction of Athletic Injury and Postinjury Emotional Response in Collegiate Athletes: A Prospective Study of an NCAA Division I Football Team." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc278163/.

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Previous research has examined factors that predispose collegiate football players to injury (e.g., Petrie, 1993a, 1993b) as well as factors that influence athletes' psychological adjustment to being injured (e.g., Brewer, 1993; Leddy, Lambert, & Ogles, 1994). Despite the reports of the NCAA Injury Surveillance System that the greatest number of football injuries occur during the spring preseason (NCAA, 1997), studies have only examined injury during the regular season. Thus, the purpose of this study was to investigate the antecedents and consequences of injury in collegiate football players during the spring preseason and across the regular competitive season. Specifically, life stress, social support, competitive trait anxiety, athletic identity, coping style, and preinjury mood state was measured to determine their relationship with the occurrence of injury and with postinjury emotional responses in athletes who sustain an injury at some point during either the spring preseason or regular competitive football season. The overall incidence of athletic injuries was low and the athletes suffered more severe injuries than has been typically found in collegiate football samples. Negative life stress was found to be directly related to the occurrence of injury and to postinjury negative emotional response and was moderated by other psychosocial variables in its influence on the occurrence of injury. Positive life stress was unrelated to injury risk or postinjury emotional response. Social support, sport anxiety, coping, and athletic identity were all found to moderate the negative life stress-injury relationship, as did playing status, suggesting that the complex combinations of these variables increase athletes' susceptibility to the impact of negative life stress. The athletes in this study experienced significant negative emotions following injury. After sustaining injuries they experienced levels of anger, depression, and fatigue that were similar to male psychiatric patients. Injury severity and preinjury mood were found to be the best predictors of postinjury emotional response. Of the psychosocial variables, only social support and sport anxiety were found to be predictive of negative emotional responses following injury. Previously identified relationships between postinjury emotional responses and situational and dispositional variables were replicated and extended.
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25

Boerem, David L. "Peak isokinetic torque of knee flexors and extensor muscles of college football players." Scholarly Commons, 1987. https://scholarlycommons.pacific.edu/uop_etds/499.

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The problem of the study addressed knee injuries in college football. Imbalance of the musculature surrounding the knee would predispose the athlete to knee injury. Recognition of those who have muscular deficiencies would be a primary way of preventing knee injuries. The focus of the study was to determine if there was a significant difference in peak isokinetic torque of knee flexor and extensor muscles across speeds (60 degrees/second, 180 degrees/ second and 300 degrees/second) of a college football team subsequent to participation in a spring football season.
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26

Wright, Britney. "A content analysis of official NCAA football bowl subdivision college athletic web sites." Tallahassee, Fla. : Florida State University, 2009. http://purl.fcla.edu/fsu/lib/digcoll/undergraduate/honors-theses/244571.

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27

Simonds, Cynthia Burch. "Development of a questionnaire to assess knowledge and attitudes about concussion and return to play criteria in college athletes." View full text, 2004.

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28

Maggard, Bryan S. "Selected academic variables as predictors of first semester academic success of at-risk foodball student-athletes at the University of Missouri." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4652.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2007.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on September 27, 2007) Vita. Includes bibliographical references.
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29

Dykens, Alan R. "A comparative study of leadership traits and the degree of success among collegiate football coaches /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3164500.

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30

Hardee, Abraham Billy. "Graduation success of scholarship football players at Virginia Tech, 1981-1983." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/45153.

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Graduation success of college athletes is becoming as popular a phrase in the world of college sports as is the term Proposition 48. This phrase has derived from the inability of college athletes to obtain a degree after their playing eligibilities have ended. This study focused on several variables that help determine or judge the graduating success of a student athlete. The particular variables used were SAT scores, high school GPA, college GPA, and race.

A positive relation of 93% of all students, 77% relationship for black student athletes, and 100% for non-blacks was found between SAT, high school GPA, and college GPA graduating success. It should be noted that other variables may affect the success or lack of success of a student athlete; however, these lie beyond the scope of this study.
Master of Science

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31

Fulford, Michael John. "Failing at College Football Reform: The Jan Kemp Trial at the University of Georgia." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/eps_diss/47.

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Throughout the history of college football, there have been efforts to reform the system and stop improprieties, yet conflict between gaining academic and athletic prowess at colleges remained a central theme. In the 1980s, the Jan Kemp trial involving the University of Georgia demonstrated this clash between revenue-generating athletics and academic integrity. This historical study is an in-depth analysis of archives, legal documents, interviews, and other textual evidence that demonstrated how the factors surrounding the Jan Kemp case evolved and how key administrators and faculty members reacted to pressure related to academic and athletic conflicts. An analysis of past reform efforts in college football identified presidential control, commercialization of athletics, and corruption of the student-athlete ideal through preferential treatment as the key issues universities must address in relation to their football programs. An analysis of the University of Georgia in relation to these issues showed that pressure to increase revenue from football led to a lack of presidential control over academic-athletic conflicts and allowed preferential treatment of athletes to persist at the expense of academic integrity.
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32

Mortensen, Bartley B. "Can a Preseason Screen Predict Injury or Performance over Three Years of College Football?" BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7339.

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Purpose: To investigate if the Functional Movement Screen (FMSâ„¢) total score, individual component test scores or number of asymmetries can predict noncontact injury risk or player performance over three consecutive seasons of NCAA Division I football. Methods: As football teams are comprised of individuals with vastly different physical characteristics and playing responsibilities, we divided the subjects into three homogeneous groups based on position (Big, Combo and Skill). Each FMSâ„¢ score was assessed with regard to the total team score as well as by individual position groups. For our injury analysis we also controlled for exposure. For player performance we controlled for plays played.Participants: 286 NCAA Division I athletes participated over three consecutive seasons, yielding a total of 344 observations.Results: We found no significant relationship between total FMSâ„¢ score and likelihood of injury when analyzed by the total team or by position group. These findings were the same for all groups, for both the total number of injuries as well as injuries weighted by injury exposure. The only significant findings occurred when we considered individual Test Item scores to injury by position group. We only found a significant relationship in the expected direction with Push-Up Stability in the Combo group. Regarding performance, total FMSâ„¢ was only significant for the Big group, but this effect was not practically significant.Conclusion: FMSâ„¢ was not a good predictor of noncontact injury or performance based on possible playing time.
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Fenex, Bart Lindy. "The "Iron cage" of division I athletics and football as status imperatives constraint and change among American universities /." Diss., [Riverside, Calif.] : University of California, Riverside, 2010. http://proquest.umi.com/pqdweb?index=0&did=2019830591&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1274721240&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2010.
Includes abstract. Title from first page of PDF file (viewed May 24, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references. Also issued in print.
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Christiansen, L. A., Amanda Greene, and Charles W. Jones. "College Football Revival: Analyzing a Commuter School’s Marketing Efforts and How They Impact Key Stakeholders." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/3965.

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35

Phillips, Benjamin Paul. "A Community in a Cow Pasture: Football at Penn State." Bowling Green, Ohio : Bowling Green State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=bgsu1237492984.

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36

Kerr, Z. Y., J. E. Simon, D. R. Grooms, K. G. Roos, R. P. Cohen, and T. P. Dompier. "Epidemiology of Football Injuries in the National Collegiate Athletic Association, 2004-2005 to 2008-2009." SAGE PUBLICATIONS INC, 2016. http://hdl.handle.net/10150/621991.

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Background: Research has found that injury rates in football are higher in competition than during practice. However, there is little research on the association between injury rates and type of football practices and how these specific rates compare with those in competitions. Purpose: This study utilized data from the National Collegiate Athletic Association Injury Surveillance System (NCAA ISS) to describe men's collegiate football practice injuries (academic years 2004-2005 to 2008-2009) in 4 event types: competitions, scrimmages, regular practices, and walkthroughs. Study Design: Descriptive epidemiological study. Methods: Football data during the 2004-2005 to 2008-2009 academic years were analyzed. Annually, an average of 60 men's football programs provided data (9.7% of all universities sponsoring football). Injury rates per 1000 athlete-exposures (AEs), injury rate ratios (RRs), 95% CIs, and injury proportions were reported. Results: The NCAA ISS captured 18,075 football injuries. Most injuries were reported in regular practices (55.9%), followed by competitions (38.8%), scrimmages (4.4%), and walkthroughs (0.8%). Most AEs were reported in regular practices (77.6%), followed by walkthroughs (11.5%), competitions (8.6%), and scrimmages (2.3%). The highest injury rate was found in competitions (36.94/1000 AEs), followed by scrimmages (15.7/1000 AEs), regular practices (5.9/1000 AEs), and walkthroughs (0.6/1000 AEs). These rates were all significantly different from one another. Distributions of injury location and diagnoses were similar across all 4 event types, with most injuries occurring at the lower extremity (56.0%) and consisting of sprains and strains (50.6%). However, injury mechanisms varied. The proportion of injuries due to player contact was greatest in scrimmages (66.8%), followed by regular practices (48.5%) and walkthroughs (34.9%); in contrast, the proportion of injuries due to noncontact/overuse was greatest in walkthroughs (41.7%), followed by regular practices (35.6%) and scrimmages (21.9%). Conclusion: Injury rates were the highest in competitions but then varied by the type of practice event, with higher practice injury rates reported in scrimmage. In addition, greater proportions of injuries were reported in regular practices, and greater proportions of exposures were reported in regular practices and walkthroughs. Efforts to minimize injury in all types of practice events are essential to mitigating injury incidence related to both contact and noncontact.
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Hillestad, Derek S. "The importance placed on athletic facilities by NCAA Division I-A football recruits of selected programs in the Big Ten Conference." Virtual Press, 2002. http://liblink.bsu.edu/uhtbin/catkey/1236583.

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The purpose of this study was to determine the importance recent recruits of football programs placed on athletic facilities (specifically football facilities) in the selection of a NCAA Division I-A football team. Specifically, the opinions of recruited freshman at selected NCAA Division I-A football programs in the Big Ten Conference were examined.Participants completed a 21 item questionnaire that ascertained the football players opinions of how football facilities influenced their decisions to play football at the institution, their opinions on how the university and the football program influenced their decision to play football at that institution, and a ranking of 11 facility factors. Athletes (N = 88) representing three schools in the Big Ten Conference completed the questionnaire. The most influential factors in the recruiting process were coaching staff (M = 1.65, SD = .98) and the strength and conditioning facilities (1Vi = 2.02, SD = 1.06). Furthermore, this study found that the top five facility factors that NCAA Division I-A football players rank are strength and conditioning facilities, an academic lab, location of facilities, stand-alone facilities, and an indoor turf field.
School of Physical Education
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38

Gunn, Lindsey. "A Descriptive Profile of Freshman Student-Athletes on a Division IAA University Intercollegiate Football Team for Consideration in General Administrative Decision Making Processes." Thesis, University of North Texas, 1988. https://digital.library.unt.edu/ark:/67531/metadc331742/.

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The purpose of this study is to identify which characteristics of student-athletes are most helpful in making administrative decisions about intercollegiate athletic programs, and then to develop a descriptive profile of a group of student-athletes at a particular university. Additional purposes include comparing these descriptive data with other group data and with perceptions of the same group of student-athletes by faculty administrators at the same university. Data were collected in four phases. First, a jury of three experts developed a list of student-athlete characteristics they believed to be helpful in making administrative decisions regarding those athletes. Next, information was gathered to develop a descriptive profile of a selected group of eighteen student-athletes based on the identified characteristics. Next, statistical comparisons were made with available data from other groups of students and from the eight Athletic Council members' perceptions of the study group. Major findings include the identification of useful characteristics, inconsistencies between student-athlete high school ranks in class and SAT scores, high scores in hostility, and accurate perceptions of student-athletes by Athletic Council members.
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39

Limegrover, Eric. "The relationship between trait anxiety and goal orientation among starting and non-starting college football players." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1411.

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40

Jung, Hye Yoon. "Collegiate sports sponsorship and brand awareness a study of collegiate sponsorship at a football game /." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=1200.

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Thesis (M.S.)--West Virginia University, 1999.
Title from document title page. Document formatted into pages; contains vi, 78 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 66-68).
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41

Harvey, Devin T. "From junior college to university contributing factors to completion of a bachelors degree for African American scholarship football players /." Laramie, Wyo. : University of Wyoming, 2009. http://proquest.umi.com/pqdweb?did=1806884931&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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42

Schroeder, Brian L. "Prediction equations as an alternative to 1-RM strength testing in division I college football players." Thesis, University of Hawaii at Manoa, 2003. http://hdl.handle.net/10125/7010.

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The purpose of this investigation was to develop a new prediction equation for 1RM bench press performance in Div. I college football players using both submaximal lifts and anthropometric variables. One repetition maximum (1-RM), 5-RM, reps at 225 lbs, and various anthropometric variables were collected on 85 Div. I college football players. Mean and SD were found for the following variables: height 182.3 cm ± 7.2; weight 102.0 kg ± 21.5; age 19.8 yrs ± 1.3; 1-RM 308.9 lbs ± 59.2; 5-RM 261.8 lbs ± 51.2; 225lb repetitions 14.1 reps ± 8.1; upper arm length 37.9 cm ± 2; CSA 125.5 cm2 ± 24.8; and flexed arm 41.2 cm ± 4.2. Findings indicated that the performance variables accounted for the majority of the explained variance; however, anthropometric factors also made a meaningful contribution to the explanation of 1-RM bench press strength. The equation generated in this study produced an R2 of 0.93 with a SEE ± 6.6 kg. Often previously published prediction equations investigated in this study, the equation developed in the current study was the only equation that did not significantly differ from actual 1-RM scores for a cross-validation sample of 31 subjects (p = 0.37). By combining anthropometric factors with performance variables, the current equation was able to predict 87% of individuals within ± 20 lbs of their actual 1-RM bench press performance. Therefore, it was concluded that the equation developed in this study is a valid means of estimating 1-RM bench press strength in Div I college football players.
vii, 69 leaves
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43

Buzzelli, Nick. "The Booster Beat: College Football Framing of Wins and Losses by Sportswriters and SB Nation Bloggers." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1500905835693446.

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44

Castor, Thomas Scott. "Presidents’ Perceptions of Alcohol Policies for College Sporting Events." University of Toledo / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1596800259420003.

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45

Himel, Matthew T. "Big Game Cats and Defining Football’s Value: College Football’s Popularity, Controversies, and Expansion." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etd/2521.

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This thesis directly approaches intercollegiate football from a cultural perspective. The football’s popularity exploded during the Twentieth-Century. Television, merchandizing, and a national sporting culture are associated with this development. However, controversies often muddied the waters of that popularity. Football’s brutality, athletic scholarships, and controversies within athletics departments overshadowed the immense popularity of intercollegiate football. During the Twenty-First Century, several universities started new football programs. Two of which being Georgia State University and Southeastern Louisiana University. Given the context balancing popularity and controversy, the administrators demonstrated how the image of intercollegiate football has changed over the course of the past century. This thesis analyzes how the administrators sold the new football programs to their respective institutions and concludes that both universities emphasized the sport’s popularity, avoided controversy, recognized the large potential for financial loss, and concentrated the new programs benefit being increased indirect and intrinsic values.
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Fuentes, Johnathan. "Relationship Between Muscular Strength Testing to Dynamic Muscular Performance in Division One American Football Players." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1635.

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The purpose of this study is to develop a prediction equation for (performance variables) vertical jump, broad jump, 40-yard sprint time, and pro-agility shuttle time using body mass and 1-RM values of strength for bench press and back squat. Participants (n = 76) used in the study were members of the University of South Florida D-1 football team in fall of 2009. Squat/BM demonstrated the strongest relationship in both correlation and multiple regression data for every performance variable. Squat 1-RM and Squat/BP indicated a decreased relationship and negative impact on performance. Results indicate that with increased Squat/BM improvement for all performance variables can be achieved. In addition analysis divided the entire football team into three positions (AT, LN, and SK), and noted differences for 10 of the possible 12 mean comparisons of performance variables.
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Freeman, Susan L. "An Exploration of the Relationships between the Quality of the Sport, Social, and Academic Experiences of College Student-Athletes and Their Adjustment to College: A Qualitative Analysis." [Tampa, Fla.] : University of South Florida, 2009. http://digital.lib.usf.edu/?e14.2894.

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Greene, Amanda, Natalie L. Smith, and Kylie Russell. "Battle at Bristol: What Did We Learn from College Football’s Biggest Event?" Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/2405.

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Saul, William Robert. "Injury prediction in Division I college football players using a modified lower extremity version of the FMS." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364489056.

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50

Schorr, Erin Marie. "A PHENOMENOLOGICAL EXAMINATION OF PEER LEADERSHIP EXHIBITED BY DIVISION I FOOTBALL CAPTAINS." Bowling Green State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1174683034.

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