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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 22 results
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Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee – Measurement in Physical Education and Exercise Science, 2015
Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Sport Psychology
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Rhoades, Jesse Lee; Hastmann, Tanis Joy – Measurement in Physical Education and Exercise Science, 2014
The complexity of learning has plagued the educational establishment for decades. Recently, ideas of complexity theory and complex adaptive systems have made headway in how we think of institutions of learning. This study developed and tested an instrument for the modeling of underlying social structures, as an element of complexity, within the…
Descriptors: Physical Education, Measures (Individuals), Social Networks, Reliability
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Chen, Senlin; Welk, Gregory J.; Joens-Matre, Roxane R. – Measurement in Physical Education and Exercise Science, 2014
As the prevalence of childhood obesity increases, it is important to examine possible differences in psychosocial correlates of physical activity between normal weight and overweight children. The study examined fatness (weight status) and (aerobic) fitness as Enabling factors related to youth physical activity within the Youth Physical Activity…
Descriptors: Obesity, Physical Fitness, Physical Activity Level, Influences
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Webb, Carrie; Vehrs, Pat R.; George, James D.; Hager, Ronald – Measurement in Physical Education and Exercise Science, 2014
The purpose of this study was to develop a step test with a personalized step rate and step height to predict cardiorespiratory fitness in 80 college-aged males and females using the self-reported perceived functional ability scale and data collected during the step test. Multiple linear regression analysis yielded a model (R = 0.90, SEE = 3.43…
Descriptors: Tests, Physical Fitness, College Students, Multiple Regression Analysis
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Lundkvist, Erik; Stenling, Andreas; Gustafsson, Henrik; Hassmén, Peter – Measurement in Physical Education and Exercise Science, 2014
Although coach burnout has been studied for 30 years, what measure to use in this context has not yet been problematized. This study focuses on evaluating convergent and discriminant validity of three coach burnout measures by using multi-trait/multi-method analysis (CT-C[M-1]) model. We choose Maslach Burnout Inventory (MBI), the two dimensional…
Descriptors: Foreign Countries, Athletic Coaches, Burnout, Validity
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Yang, Sophie Xin; Jowett, Sophia – Measurement in Physical Education and Exercise Science, 2013
The Coach-Athlete Relationship Questionnaire was developed to effectively measure affective, cognitive, and behavioral aspects, represented by the interpersonal constructs of closeness, commitment, and complementarity, of the quality of the relationship within the context of sport coaching. The current study sought to determine the internal…
Descriptors: Foreign Countries, Athletes, Athletic Coaches, Interpersonal Relationship
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Lee, Donghun; Trail, Galen T. – Measurement in Physical Education and Exercise Science, 2012
Although sales of athletic team merchandise (ATM) contribute to the overall consumption of sport, a research effort that comprehensively measures aspects that trigger the consumption of ATM is lacking. In light of the gap, utilizing multiple theories and other concepts that describe product consumption, the authors of this article empirically…
Descriptors: Retailing, Merchandising, Team Sports, Models
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Liu, Yuanlong; Paul, Stanley; Fu, Frank H. – Measurement in Physical Education and Exercise Science, 2012
The conductors of this study reviewed prediction research and studied the accomplishments and compromises in predicting world records and best performances in track and field and swimming. The results of the study showed that prediction research only promises to describe the historical trends in track and field and swimming performances, to study…
Descriptors: Classroom Techniques, Track and Field, Aquatic Sports, Prediction
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Yan, Zi; Bond, Trevor G. – Measurement in Physical Education and Exercise Science, 2011
The main purpose of this study was to develop a Rasch Measurement Physical Fitness Scale (RMPFS) based on physical fitness indicators routinely used in Hong Kong primary schools. A total of 9,439 records of students' performances on physical fitness indicators, retrieved from the database of a Hong Kong primary school, were used to develop the…
Descriptors: Muscular Strength, Physical Fitness, Measures (Individuals), Foreign Countries
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Myers, Nicholas D.; Brincks, Ahnalee M.; Beauchamp, Mark R. – Measurement in Physical Education and Exercise Science, 2010
The primary purpose of this tutorial is to succinctly review some options for, and consequences of, centering Level 1 predictors in commonly applied cross-sectional two-level models. It is geared toward both practitioners and researchers. A general understanding of multilevel modeling is necessary prior to understanding the subtleties of centering…
Descriptors: Models, Statistical Analysis, Predictor Variables, Athletes
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Christie, A.; Kamen, G.; Boucher, Jean P.; Inglis, J. Greig; Gabriel, David A. – Measurement in Physical Education and Exercise Science, 2010
The Hoffmann reflex is obtained through surface electromyographic recordings, and it is one of the most common neurophysiological techniques in exercise science. Measurement and evaluation of the peak-to-peak amplitude of the Hoffmann reflex has been guided by the observation that it is a variable response that requires multiple trials to obtain a…
Descriptors: Motor Reactions, Measurement Techniques, Comparative Analysis, Statistical Analysis
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Gaudreau, Patrick; Fecteau, Marie-Claude; Perreault, Stephane – Measurement in Physical Education and Exercise Science, 2010
The goal of this article is to present a series of conceptual, statistical, and practical issues in the modeling of multi-level dyadic data. Distinctions are made between distinguishable and undistinguishable dyads and several types of independent variables modeled at the dyadic level of analysis. Multi-level modeling equations are explained in a…
Descriptors: Data, Models, Predictor Variables, Equations (Mathematics)
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Pritchard, Tony; Hawkins, Andrew; Wiegand, Robert; Metzler, Jonathan N. – Measurement in Physical Education and Exercise Science, 2008
Two instructional approaches that have been of interest in promoting sport have been the Sport Education Model (SEM) and the Traditional Style (TS) of teaching physical education. The purpose of this study was to investigate how SEM and TS would affect skill development, knowledge, and game performance for volleyball at the secondary level. A 2 x…
Descriptors: Physical Education, Team Sports, Games, Skill Development
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Welk, Gregory J. – Measurement in Physical Education and Exercise Science, 2008
The emphasis in public health on lifestyle physical activity in recent years has focused attention on the promotion of lifetime physical activity as the primary objective of physical education. If used properly, physical activity and physical fitness assessments can enhance individual promotion of physical activity and also provide valuable…
Descriptors: Physical Education, Physical Activities, Public Health, Physical Fitness
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George, James D.; Bradshaw, Danielle I.; Hyde, Annette; Vehrs, Pat R.; Hager, Ronald L.; Yanowitz, Frank G. – Measurement in Physical Education and Exercise Science, 2007
The purpose of this study was to develop an age-generalized regression model to predict maximal oxygen uptake (VO sub 2 max) based on a maximal treadmill graded exercise test (GXT; George, 1996). Participants (N = 100), ages 18-65 years, reached a maximal level of exertion (mean plus or minus standard deviation [SD]; maximal heart rate [HR sub…
Descriptors: Metabolism, Body Composition, Multiple Regression Analysis, Error of Measurement
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