Latest Articles

The Examination of Relationships between Academic Self-Efficacy, Academic Procrastination, and Locus of Academic Control of Athletes in Different Sports

October 17th, 2017|Sports Studies and Sports Psychology|

Authors: Zehra CERTEL1, Melek KOZAK2
(1) Akdeniz University, Faculty of Sport Sciences, Turkey.
(2) Karamanoğlu Mehmetbey University, High School of Physical Education and Sports, Turkey.

Corresponding Author:
Zehra CERTEL
Akdeniz University, Faculty of Sport Sciences, Turkey
Konyaaltı/Antalya, 07070
zcertel@akdeniz.edu.tr
(0242) 310 6825

(1) Zehra CERTEL is an assistant professor in Physical Education and Sport Education Department at the Akdeniz University studying teaching and learning approaches in physical education and sport.

The Examination of Relationships between Academic Self-Efficacy, Academic Procrastination, and Locus of Academic Control of Athletes in Different Sports

ABSTRACT
The aim of this study is to examine locus of academic control, academic procrastination, and academic self-efficacy of athletes participating in university sports games in terms of academic achievement, sport branches, and gender. Moreover, it is aimed to reveal the relationship among locus of academic control, academic procrastination, and academic self-efficacy. The sample of this study consisted of 302 athletes (individual athletes = 121, team athletes = 181) participating in the 13th “KOÇ SPORT FEST” University games organized in Antalya, Turkey. The average age of athletes is 21.45 ± 2.22 and the average license years of them are 8.43±3.93. The personal information form, “Locus of Academic Control Scale,” “Academic Procrastination Scale,” and “Academic Self-Efficacy Scale” were used as data collection tools. In the analysis of the data, since the data showed normal distribution, a t-test was used for paired comparison; and the Pearson correlation coefficient was used for examining the relationship among variables. There is a statistically significant difference between external locus of academic control and academic procrastination in terms of the gender of the athletes. The academic achievement of the athletes is significantly different from their academic self-efficacy, locus of control academic external and internal, and academic procrastination. External locus of academic control is significantly different in terms of participating on a team or individually. Significant relationships have been found among external and internal locus of academic control, academic procrastination, and academic self-efficacy. When external locus of academic control in athletes increases, academic procrastination levels within them increases. When internal locus of academic control in athletes increases, the self-efficacy level within them increases. It is found that male athletes have higher scores on external locus of academic control and academic procrastination than female athletes. Athletes with high academic success have better internal locus of academic control and academic self-efficacy scores. Athletes participation on team sports have higher external locus of academic control scores than individual athletes.
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Analyzing Hair Pulling in Athletics

October 12th, 2017|Sports Health & Fitness|

Authors: Laura Ruhala, Richard Ruhala, Emerald Alexis, E. Scott Martin

Corresponding Author:
Laura Ruhala, Ph.D.
Department of Mechanical Engineering
Kennesaw State University
1100 S. Marietta Pkwy
Marietta, GA 30060
lruhala@kennesaw.edu
812-589-2982

Dr. Laura Ruhala is an Associate Professor of Mechanical Engineering at Kennesaw State University. Her research topics include biomechanics and engineering pedagogical techniques. She is an active member of the American Society of Mechanical Engineers and the American Society for Engineering Education. She enjoys collaborating with her husband and colleague, Dr. Richard Ruhala.

Analyzing Hair Pulling in Athletics

ABSTRACT
This paper investigates biomechanical and ethical issues surrounding long hair in athletics, with a focus on the population of athletes in the National Football League (NFL), the professional organization for American football, who is most affected. Background on the NFL rules regarding player hair length is described. Unlike grabbing a player’s facemask, it is not a penalty to grab and pull hair under certain situations in the NFL. The 2,905 players listed on rosters as of June 2015, are analyzed by their age, NFL units, positions, hair length, and style. Trends in player hair length are illustrated, and it is found that nearly ¾ of players with long hair, defined as long enough to reach their jersey, wear them in a dreadlock style. Three documented case studies of extreme hair pulling incidents by tackling in the NFL are described. A case study of hair tackling in women’s college soccer is also described. An engineering analysis is conducted to estimate the amount of force applied to a player’s hair during an actual NFL hair tackle. The forces are a function of the angle at which the hair is grabbed, and at some angles, the impulsive force applied to a player’s head and neck may exceed 500 pounds. Finally, the ethics behind hair tackles are investigated: both looking at the responsibility of the NFL for its players, as well as player sportsmanship.
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Can the working alliance between coaches and athletes explain athlete burnout among junior athletes?

October 5th, 2017|Research, Sports Studies and Sports Psychology|

Authors: Frode Moen(1) and Kenneth Myhre(2).

Corresponding Author:
1. E-mail address: frmoe@online.no, Tel.: +47 932 487 50.
Centre for Elite Sports Research, Department of Education and Lifelong Learning, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology, NTNU, Trondheim, Norway.

2. Centre for Elite Sports Research, Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, NTNU, Trondheim, Norway.

ABSTRACT
Research suggests that the numbers of athletes who are suffering from burnout symptoms are considerably. In this study, the authors explore associations of working alliance between coaches and athletes on positive- and negative affect, worry and athlete burnout in a group of Norwegian junior elite athletes. An online survey, consisting of the Working Alliance Inventory, the Positive and Negative Affect Schedule, the Worry Questionnaire and the Athlete Burnout Questionnaire was completed by a sample of 358 junior elite athletes. Data analysis was conducted using structural equation modelling. The theoretical model in this study explained 66 % of the variance athlete burnout. These effects mainly derived from positive affect, negative affect, worry and the working alliance directly. However, working alliance also showed a significant indirect effect through the mediating variables positive affect, negative affect and worry. These results are discussed in a cognitive and affective activation-perspective.
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An Examination of Sport Management Master’s Programs in the United States

September 28th, 2017|Sports Management|

Authors: Jennifer Willett, Chris Brown, & Bernie Goldfine

Corresponding Author:
Jennifer Willett, Ph.D.
Kennesaw State University
520 Parliament Garden Way NW
Kennesaw, GA 30144
jbeck@kennesaw.edu
470-578-6486

Jennifer Willett is an Associate Professor in the Department of Exercise Science and Sport
Management at Kennesaw State University.

Christopher Brown is an Associate Professor in the Department of Exercise Science and Sport
Management at Kennesaw State University.

Bernie Goldfine is a Professor and the Physical Activities Coordinator in the Department of
Health Promotion and Physical Education at Kennesaw State University.

ABSTRACT
With an increasing amount of sport management master’s programs being created within the U.S. and internationally, little seems to be known about their curriculum and overall structure. A total of 194 sport management master’s programs from the United States were examined on curricular and accreditation standards based on COSMA accreditation and the Common Professional Component (CPC). Data was collected from school websites and results varied and ultimately showed that curriculum is different, indicating that sport management master’s programs do not necessarily follow a specific program model. Results suggest that the examination of graduate curriculum should support the notion that program curriculum needs to evolve through the work of all parties (institutions, practitioners, industry) involved.
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Comparison of Laboratory and Field-Based Predictors of 5-km Race Performance in Division I Cross-Country Runners

September 21st, 2017|Sports Coaching|

Authors: Katie M. Sell, Ph.D., CSCS, TSAC-F, ACSM EP-C
Department of Health Professions, Hofstra University, NY
Jamie Ghigiarelli, Ph.D., CSCS, USAW, CISSN
Department of Health Professions, Hofstra University, NY

Corresponding Author:
Katie M. Sell, Ph.D., CSCS, TSAC-F, ACSM EP-C
Department of Health Professions, 101 Hofstra Dome, 220 Hofstra University, Hempstead, NY 11549
Phone: 516-463-5814
Email: Katie.Sell@hofstra.edu

Comparison of Laboratory and Field-Based Predictors of 5-km Race Performance in Division I Cross-Country Runners

ABSTRACT
Purpose: The purpose of this study was to examine the predictive capabilities of laboratory- (VO2max, VO2@VT) versus field-based performance variables (2-mile trial time; 2-MTT) in determining 5-km performance time in collegiate cross-country runners. Methods: Twenty Division I college cross-country runners completed a 2-MTT on an outdoor track, a VO2max test under controlled laboratory settings, and a 5-km run under competitive conditions. All tests were completed within a 10-day timeframe. Oxygen uptake during the VO2max test was measured during treadmill running using open circuit spirometry. Oxygen consumption at ventilatory threshold (VO2@VT) was determined using the ventilatory equivalent method. Results: Significant correlations were observed between each predictor variable and 5-km performance time. Regression analyses revealed that 2-MTT and VO2@VT contributed significantly to predicting 5-km race performance (r2 = 0.90, p<0.05). Conclusions: For the highly trained runners in this study, 2-MTT and VO2@VT are among the variables best able to predict 5-km race performance, and accounted for a similar magnitude of variance in 5-km performance time. Applications in Sport: A 2-MTT is cheaper, quicker, and more feasible to administer than a VO2max test to determine VT during the short pre-season and intensive in-season inherent in collegiate cross-country schedules. Given the results of this study, the 2-MTT may present an attractive alternative to laboratory testing as a means to monitor cross-country runner’s progress throughout a season.
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