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Eddy, Lucy; Hill, Liam J. B.; Mon-Williams, Mark; Preston, Nick; Daly-Smith, Andy; Medd, Gareth; Bingham, Daniel D. – Measurement in Physical Education and Exercise Science, 2021
Evidence suggests that children struggle to acquire age-appropriate fundamental movement skills (FMS), despite their importance for facilitating physical activity. This has led to calls for routine school-based screening of children's FMS. However, there is limited research exploring schools' capacity to conduct such assessments. This study…
Descriptors: Psychomotor Skills, Motor Development, Elementary School Students, Elementary School Teachers
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Jimenez-Garcia, John Alexander; Hong, Chang Ki; Miller, Matthew B.; DeMont, Richard – Measurement in Physical Education and Exercise Science, 2020
The purpose of this Delphi-study was to establish the face and content validity of 10 movement skills, each with four evaluation criteria, to create the Children Focused Injury Risk Screening Tool (ChildFIRST) for 8-12-year-old children. We asked an international expert panel (n = 22) to validate a series of movement skills and evaluation…
Descriptors: Screening Tests, Risk Assessment, Injuries, Children
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Myers, Nicholas D.; Lee, Seungmin; Kostelis, Kimberly T. – Measurement in Physical Education and Exercise Science, 2018
The purpose of this annual report is to provide a summary of measurement in physical education and exercise science-related activities in 2017. A recent trend for an annual increase in manuscript submissions to measurement in physical education and exercise science continued in 2017. Twenty-nine countries were represented (i.e., corresponding…
Descriptors: Physical Education, Exercise, Measurement Techniques, Foreign Countries
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Sawczuk, Thomas; Jones, Ben; Scantlebury, Sean; Weakley, Jonathan; Read, Dale; Costello, Nessan; Darrall-Jones, Joshua David; Stokes, Keith; Till, Kevin – Measurement in Physical Education and Exercise Science, 2018
This study aimed to evaluate the between-day reliability and usefulness of a fitness testing battery in a group of youth sport athletes. Fifty-nine youth sport athletes (age = 17.3 ± 0.7 years) undertook a fitness testing battery including the isometric mid-thigh pull, counter-movement jump, 5-40 m sprint splits, and the 5-0-5 change of direction…
Descriptors: Test Reliability, Comparative Analysis, Athletes, Team Sports
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Hurst, Philip; Board, Lisa – Measurement in Physical Education and Exercise Science, 2017
The aim of this study was to examine the reliability of a 5-km time-trial during a competitive outdoor running event. Fifteen endurance runners (age = 29.5 ± 4.3 years, height = 1.75 ± 0.08 m, body mass = 71.0 ± 7.1 kg, 5-km lifetime personal best = 19:13 ± 1:13 minutes) completed two competitive 5-km time-trials over 2 weeks. No systematic…
Descriptors: Reliability, Physical Activities, Competition, Performance
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Varela Mato, Veronica; Yates, Thomas; Stensel, David; Biddle, Stuart; Clemes, Stacy A. – Measurement in Physical Education and Exercise Science, 2017
This study explored the validity of ActiGraph-determined sedentary time (<50 cpm, <100 cpm, <150 cpm, <200 cpm, <250 cpm) compared with the activPAL in a free-living sample of bus drivers. Twenty-eight participants were recruited between November 2013 and February 2014. Participants wore an activPAL3 and ActiGraph GT3X+ concurrently…
Descriptors: At Risk Persons, Bus Transportation, Leisure Time, Daily Living Skills
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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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Jowett, Sophia – Measurement in Physical Education and Exercise Science, 2009
The coach-athlete relationship is viewed as a multidimensional situational construct containing three factors: namely, closeness, commitment, and complementarity (3 Cs) that can be captured from a direct perspective and a meta-perspective. This conceptualization is primarily based on research conducted with samples that mix student and non-student…
Descriptors: Athletes, Factor Structure, Factor Analysis, Athletic Coaches