Hello, my name is Beth and I am a junior at “University of K,” studying sport management. I want to take you through my journey of learning about sport analytics and what analytics means to me now. This semester, I am enrolled in a junior-level sport marketing class. I just completed an assignment
Ceyda Mumcu and Gil Fried
Michael Naraine, Shannon Kerwin and Milena M. Parent
This case study explores the issue of team leadership among players who have been selected to play for their national team in an international tournament. After the coaching staff had solidified the roster, a total of 12 (fictional) players were chosen to represent Canada Basketball on the senior women’s development team. With some players having known their teammates for only 2 weeks, the coaching staff has asked the team’s analytics specialist to gather data regarding the network of players within the team and present potential captains of the team to the coaching staff. Students will take on the role of the analytics specialist and provide the summary of the analysis to the coaching staff. Specifically, using a social network analysis approach, students will use the team’s network of players to determine which individual players are involved in the team’s leadership structure as captains. The primary objective of this case study is to afford students an opportunity to be acquainted with social network analysis in a sport management setting.
Qualitative skill analysis is an essential analytic tool for physical educators (Hay, 1973) and refers to a process in which a teacher identifies discrepancies between the actual response observed and the desired response (Hoffman, 1977b). Providing instruction for preservice teachers regarding how to recognize errors has been largely neglected in teacher preparation (Barrett, 1979; Hoffman, 1977a; Locke, 1972). The purpose of this study was to evaluate an alternative approach for teaching qualitative skill analysis to undergraduates. The study evaluated the effectiveness of a visual-discrimination training program. The subjects were 18 undergraduate students. The visual-discrimination training program was introduced using a multiple-baseline design across three volleyball skills: the forearm pass, the overhead pass, and the overhead serve. After the introduction of each instructional component, subjects made abrupt improvements in correctly analyzing the volleyball skill. This approach for teaching qualitative skill analysis is one alternative to the conventional techniques currently being used in professional preparation.
N. David Pifer
By Daniel Memmert and Dominik Raabe. Published in 2018 by Routledge (174 pgs.) ISBN: 978-0-8153-8154-9 (hardback) Source: Routledge (Taylor & Francis Group) $150.00 (hardback); $40.95 (paperback); $20.48 (ebook) From the onset, Data Analytics in Football describes itself as a resource
Danielle Symons Downs and Heather A. Hausenblas
Statistical reviews of the theories of reasoned action (TRA) and planned behavior (TPB) applied to exercise are limited by methodological issues including insufficient sample size and data to examine some moderator associations.
We conducted a meta-analytic review of 111 TRA/TPB and exercise studies and examined the influences of five moderator variables.
We found that: a) exercise was most strongly associated with intention and perceived behavioral control; b) intention was most strongly associated with attitude; and c) intention predicted exercise behavior, and attitude and perceived behavioral control predicted intention. Also, the time interval between intention to behavior; scale correspondence; subject age; operationalization of subjective norm, intention, and perceived behavioral control; and publication status moderated the size of the effect.
The TRA/TPB effectively explained exercise intention and behavior and moderators of this relationship. Researchers and practitioners are more equipped to design effective interventions by understanding the TRA/TPB constructs.
Yukyoum Kim, Hyun-Woo Lee, Marshall J. Magnusen and Minjung Kim
Sponsorship is a significant element of today’s marketing communication. Nevertheless, managers and researchers lack of systematic and integrative understanding of key factors that influence sponsorship outcomes and the contexts in which the relationships between sponsorship effectiveness antecedents and outcomes are stronger or weaker. The authors attempt to address this gap by providing a systematic meta-analytic review of sponsorship effectiveness that incorporates (1) cognitive, affective, and conative consumer-focused sponsorship outcomes; (2) sponsor-related, dyadic, and sponsee-related antecedents to consumer-focused sponsorship outcomes; and (3) sponsorship-related and methodological moderators of the relationships between the three antecedent categories and three outcome categories. Our findings help assess the validity and robustness of the predictive capability of the antecedents, and they also offer a more generalizable and empirically established set of factors that are vital to the achievement of key sponsorship outcomes. Several of our results afford noteworthy implications for improving the effectiveness of sponsorship research and practice.
Larry G. Matson and Zung Vu Tran
Many researchers have investigated the effects of induced metabolic alkalosis, by ingestion of sodium bicarbonate, on anaerobic exercise performance. But the results have been inconsistent and often contradictory. The purpose of this review was to synthesize the varied findings using a meta-analytic approach. Twenty-nine investigations met our inclusion criteria. Results show that
Louis Passfield and James G. Hopker
This paper explores the notion that the availability and analysis of large data sets have the capacity to improve practice and change the nature of science in the sport and exercise setting. The increasing use of data and information technology in sport is giving rise to this change. Web sites hold large data repositories, and the development of wearable technology, mobile phone applications, and related instruments for monitoring physical activity, training, and competition provide large data sets of extensive and detailed measurements. Innovative approaches conceived to more fully exploit these large data sets could provide a basis for more objective evaluation of coaching strategies and new approaches to how science is conducted. An emerging discipline, sports analytics, could help overcome some of the challenges involved in obtaining knowledge and wisdom from these large data sets. Examples of where large data sets have been analyzed, to evaluate the career development of elite cyclists and to characterize and optimize the training load of well-trained runners, are discussed. Careful verification of large data sets is time consuming and imperative before useful conclusions can be drawn. Consequently, it is recommended that prospective studies be preferred over retrospective analyses of data. It is concluded that rigorous analysis of large data sets could enhance our knowledge in the sport and exercise sciences, inform competitive strategies, and allow innovative new research and findings.
Michael W. Beets and John T. Foley
Much of the research conducted to date implies overweight youth exhibit uniform active and sedentary behavioral patterns. This approach negates the possibility that multiple co-occurring, and seemingly contrasting, behaviors may manifest within the same individual. We present a substantive dialogue on alternative analytical approaches to identifying risk-related active/sedentary behavioral patterns associated with overweight in adolescents.
Comparisons were made among latent profile analysis (LPA), cluster analysis (CA), and multinomial logistic regression (MLR). A cross sectional sample of youth (N = 6603; 12−18 yrs) completed a questionnaire assessing: physical activity (PA); competing activities (COMP); and sedentary activities (SED). Demographics associated with PA (age, sex, BMI) were used as covariates/predictors.
Comparisons among methods revealed that LPA and CA detected subgroupings of behavioral patterns associated with overweight, each unique in regards to behaviors and demographic characteristics, whereas MLR results followed established associations of low PA and high SED without subgroup separation.
Use of LPA and CA provides a rich understanding of behavioral patterns and the related demographic characteristics. Decisions guiding the selection of analytical techniques are discussed.
Martin S. Hagger, Nikos L.D. Chatzisarantis and Stuart J.H. Biddle
The aim of the present study was to examine relations between behavior, intentions, attitudes, subjective norms, perceived behavioral control, self-efficacy, and past behavior across studies using the Theories of Reasoned Action (TRA) and Planned Behavior (TPB) in a physical activity context. Meta-analytic techniques were used to correct the correlations between the TRA/TPB constructs for statistical artifacts across 72 studies, and path analyses were conducted to examine the pattern of relationships among the variables. Results demonstrated that the TRA and TPB both exhibited good fit with the corrected correlation matrices, but the TPB accounted for more variance in physical activity intentions and behavior. In addition, self-efficacy explained unique variance in intention, and the inclusion of past behavior in the model resulted in the attenuation of the intention-behavior, attitude-intention, self-efficacy-intention, and self-efficacy-behavior relationships. There was some evidence that the study relationships were moderated by attitude-intention strength and age, but there was a lack of homogeneity in the moderator groups. It was concluded that the major relationships of the TRA/TPB were supported in this quantitative integration of the physical activity literature, and the inclusion of self-efficacy and past behavior are important additions to the model.