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Takeda, Kazuya; Tanabe, Shigeo; Koyama, Soichiro; Nagai, Tomoko; Sakurai, Hiroaki; Kanada, Yoshikiyo; Shomoto, Koji – Measurement in Physical Education and Exercise Science, 2018
The aim of this study was to clarify the intra- and inter-rater reliability of the rate of force development in hip abductor muscle force measurements using a hand-held dynamometer. Thirty healthy adults were separately assessed by two independent raters on two separate days. Rate of force development was calculated from the slope of the…
Descriptors: Interrater Reliability, Human Body, Measurement Equipment, Handheld Devices
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Kelleher, Leila K.; Beach, Tyson A. C.; Frost, David M.; Johnson, Andrew M.; Dickey, James P. – Measurement in Physical Education and Exercise Science, 2018
The scoring scheme for the functional movement screen implicitly assumes that the factor structure is consistent, stable, and congruent across different populations. To determine if this is the case, we compared principal components analyses of three samples: a healthy, general population (n = 100), a group of varsity athletes (n = 101), and a…
Descriptors: Factor Structure, Test Reliability, Screening Tests, Motion
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Habeeb, Christine M.; Eklund, Robert C. – Measurement in Physical Education and Exercise Science, 2016
Dyadic interactions generate direct relationships in which interdependent sport behaviors can be destructured. The focus of this investigation was to develop a two-level performance framework and corresponding measures of individual- and dyad-level sport performance. The described procedures surrounded a male-female cheerleading paired-stunt task,…
Descriptors: Interaction, Athletics, Athletes, Interpersonal Relationship
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Bates, B. T.; Dufek, J. S.; James, C. R.; Harry, J. R.; Eggleston, J. D. – Measurement in Physical Education and Exercise Science, 2016
We demonstrate the effect of sample and trial size on statistical outcomes for single-subject analyses (SSA) and group analyses (GA) for a frequently studied performance activity and common intervention. Fifty strides of walking data collected in two blocks of 25 trials for two shoe conditions were analyzed for samples of five, eight, 10, and 12…
Descriptors: Sample Size, Research Design, Statistical Analysis, Adults
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Fernandez-Santos, Jorge R.; Gonzalez-Montesinos, Jose Luis; Ruiz, Jonatan R.; Jiménez-Pavón, David; Castro-Piñero, Jose – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to analyze the kinematic variables that determine the performance of the standing long jump in children 6- to 12-years-old. There were 121 healthy children (58 girls) recorded while they performed the standing long jump test. All kinematic variables showed a significant correlation with calculated jump distance and…
Descriptors: Children, Preadolescents, Mechanics (Physics), Motion
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Tidén, Anna; Lundqvist, Carolina; Nyberg, Marie – Measurement in Physical Education and Exercise Science, 2015
This study presents the development process and initial validation of the NyTid test, a process-oriented movement assessment tool for compulsory school pupils. A sample of 1,260 (627 girls and 633 boys; mean age of 14.39) Swedish school children participated in the study. In the first step, exploratory factor analyses (EFAs) were performed in…
Descriptors: Test Construction, Test Validity, Psychomotor Skills, Student Evaluation