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Soowoong Hwang; Jungjoon Kim; Ilhyeok Park – Measurement in Physical Education and Exercise Science, 2025
This study investigates the predictive validity of lower extremity strength, strength asymmetry, and soccer-specific fitness in talent identification among elite male youth soccer players. Employing a Retrospective Cohort design, we established a cohort consisting of K-League registered youth players, totaling 219 individuals (all males, aged 16…
Descriptors: Team Sports, Physical Fitness, Talent Identification, Males
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Martin, Eric M.; True, Larissa; Pfeiffer, Karin A.; Siegel, Shannon R.; Branta, Crystal F.; Wisner, Dave; Haubenstricker, John; Seefeldt, Vern – Measurement in Physical Education and Exercise Science, 2021
Research tracking sport participation from youth to adulthood is relatively rare, as is research that tracks youth sport participation with regard to adult physical activity (PA) levels, especially in the United States. Aims of this study were: 1) To investigate the degree to which sport participation tracked across youth, adolescence, and early…
Descriptors: Athletics, Participation, Children, Adolescents
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Yeatts, Paul E.; Barton, Mitch; Henson, Robin K.; Martin, Scott B. – Measurement in Physical Education and Exercise Science, 2017
A common practice in general linear model (GLM) analyses is to interpret regression coefficients (e.g., standardized ß weights) as indicators of variable importance. However, focusing solely on standardized beta weights may provide limited or erroneous information. For example, ß weights become increasingly unreliable when predictor variables are…
Descriptors: Predictor Variables, Correlation, Multiple Regression Analysis, Physical Fitness
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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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Myers, Nicholas D.; Paiement, Craig A.; Feltz, Deborah L. – Measurement in Physical Education and Exercise Science, 2007
The purpose of this study was to determine to what degree collective efficacy judgments based on summative team performance capabilities exhibited different levels of prediction for three additive intervals of team performance in women's ice hockey. Collective efficacy beliefs of 12 teams were assessed prior to Friday's game and Saturday's game…
Descriptors: Proximity, Team Sports, Intervals, Teamwork