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Pacewicz, Christine E.; Hill, Christopher R.; Lee, Seungmin; Myers, Nicholas D.; Prilleltensky, Isaac; McMahon, Adam; Pfeiffer, Karin A.; Brincks, Ahnalee M. – Measurement in Physical Education and Exercise Science, 2022
In physical education and exercise science, it is common to examine mean differences between groups or to assess change across time. However, before group differences or change can be confidently examined, measurement invariance can be tested. Measurement invariance tests the equivalence of a construct across groups or across time. If measurement…
Descriptors: Physical Education, Exercise, Well Being, Self Efficacy
Wu, Sz-Yan; Kang, Hyeon-Ah; Jensen, Jody L. – Measurement in Physical Education and Exercise Science, 2023
The objective was to verify the construct validity and test-retest reliability of the Test of Advanced Movement Skills (TAMS) with an innovative dual-outcome scoring system. Three statistical approaches--confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), and item response theory analysis (IRT)--were applied to the…
Descriptors: Construct Validity, Pretests Posttests, Psychomotor Skills, Scoring
Byon, Kevin K.; Zhang, James J. – Measurement in Physical Education and Exercise Science, 2019
Sport management research has evolved significantly despite its relatively short history as an academic discipline. Although the pace of scholarly progress has been impressive, the extent to which many research efforts have aided sport management in becoming a distinct academic discipline is, at times, questionable. A major challenge many scholars…
Descriptors: Athletics, Research, Statistical Analysis, Research Methodology
Garn, Alex C.; Webster, E. Kipling – Measurement in Physical Education and Exercise Science, 2018
The Test of Gross Motor Development--Second Edition (TGMD-2) is a widely used evaluation tool of children's fundamental motor skills (FMS). This study illustrates how exploratory structural equation modeling (ESEM) addresses current limitations associated with TGMD-2 factor structure. Using the normative dataset from the TGMD-2 manual, we test…
Descriptors: Motor Development, Performance Tests, Factor Structure, Structural Equation Models
Pulido, Juan J.; Sánchez-Oliva, David; Leo, Francisco M.; Sánchez-Cano, Jorge; García-Calvo, Tomás – Measurement in Physical Education and Exercise Science, 2018
Purpose: The objectives were to develop and validate the Coaches' Interpersonal Style Questionnaire. The Coaches' Interpersonal Style Questionnaire analyzes the interpersonal style adopted by coaches when implementing their strategy of supporting or thwarting athletes' basic psychological needs. Method: In Study 1, an exploratory factor analysis…
Descriptors: Questionnaires, Interpersonal Relationship, Validity, Structural Equation Models
Cornick, Jessica E. – Measurement in Physical Education and Exercise Science, 2015
The current study utilized exercise self-efficacy ratings from undergraduate students to assess the factor structure of the Self-Efficacy to Regulate Exercise Scale (Bandura, 1997, 2006). An exploratory factor analysis (n = 759) indicated a two-factor model solution and three separate confirmatory factor analyses (n = 1,798) supported this…
Descriptors: Factor Structure, Self Concept Measures, Self Efficacy, Exercise
Strömmer, Sofia T.; Ingledew, David K.; Markland, David – Measurement in Physical Education and Exercise Science, 2015
There are existing measures of exercise motives (what people want from exercise), but corresponding measures of gains (what people get) are needed, because motives and gains could influence each other and together influence other variables. An exercise motives and gains inventory (EMGI) was developed by creating gains scales to complement existing…
Descriptors: Exercise, Motivation, Measures (Individuals), Test Construction
Chen, Han; Dai, Jun; Liu, Jiling – Measurement in Physical Education and Exercise Science, 2018
The study aims to examine psychometric property, measurement invariance, and latent mean difference of a Chinese version instrument of the Behavioral Regulation in Exercise Questionnaire-2 (C-BREQ-2), which originally includes five constructs. The study also examined the relationship between C-BREQ-2and participants' weekly moderate to vigorous…
Descriptors: Psychometrics, Chinese, Questionnaires, Correlation
Kern, Ben D.; Graber, Kim C. – Measurement in Physical Education and Exercise Science, 2017
Program satisfaction, self-efficacy to change, and willingness to change, are dispositions that influence physical education teacher change. The study purpose was to validate an instrument measuring program satisfaction, self-efficacy to change, and willingness to change relative to teachers' likelihood to change. A 15-item Teacher Change…
Descriptors: Physical Education Teachers, Test Validity, Questionnaires, Self Efficacy
Rathwell, Scott; Young, Bradley W. – Measurement in Physical Education and Exercise Science, 2016
Limited tools assess positive development through university sport. Such a tool was validated in this investigation using two independent samples of Canadian university athletes. In Study 1, 605 athletes completed 99 survey items drawn from the Youth Experience Scale (YES 2.0), and separate a priori measurement models were evaluated (i.e., 99…
Descriptors: Factor Analysis, Structural Equation Models, College Athletics, Athletes
Chung, ChihMing; Liao, Xiaolan; Song, Hairong; Lee, Taehun – Measurement in Physical Education and Exercise Science, 2016
The multi-dimensionality of Physical Self-Perception Profile (PSPP) has been acknowledged by the use of correlated-factor model and second-order model. In this study, the authors critically endorse the bifactor model, as a substitute to address the multi-dimensionality of PSPP. To cross-validate the models, analyses are conducted first in…
Descriptors: Structural Equation Models, Factor Analysis, Self Esteem, Measurement Techniques
Vaughan, Robert; Laborde, Sylvain – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to assess the psychometrics properties of the Emotional Intelligence Scale and assess the measurement invariance across elite (n = 367), amateur (n = 629), and non-athletes (n = 550). In total, 1,546 participants from various sports completed the emotional intelligence scale. Several competing models were compared…
Descriptors: Psychometrics, Emotional Intelligence, Measures (Individuals), Athletes
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
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
Gunnell, Katie E.; Wilson, Philip M.; Zumbo, Bruno D.; Mack, Diane E.; Crocker, Peter R. E. – Measurement in Physical Education and Exercise Science, 2012
The researchers examined if scores from the original Psychological Need Satisfaction in Exercise Scale (Wilson, Rogers, Rodgers, & Wild, 2006) were invariant from a modified version specific to physical activity and then examined measurement invariance of scores across groups on the modified scale. Three groups were examined: (a) Students/staff…
Descriptors: Psychological Needs, Physical Activities, Structural Equation Models, Factor Structure
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