Examining physical literacy in young adults: psychometric properties of the PLAYself
Autor: | Rachel R. Kleis, Deirdre Dlugonski, Carrie S. Baker, Johanna M. Hoch, Matthew C. Hoch |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Applied Physiology, Nutrition, and Metabolism. 47:926-932 |
ISSN: | 1715-5320 1715-5312 |
DOI: | 10.1139/apnm-2022-0062 |
Popis: | The PLAYself is a commonly utilized tool to assess physical literacy in child and adolescent populations. Currently, there are no measurement tools designed to examine physical literacy among adults. The purpose of this cross-sectional study was to examine the psychometric properties of PLAYself subsections in a sample of young adults. Two hundred forty-five young adults (ages 18–25) from the United States completed the PLAYself questionnaire. Multiple principal component analyses using promax rotation were utilized to assess the current factor structure of the PLAYself subsections. Each subsection was analyzed independently to explore individual summary components. PLAYself subsections were assessed for reliability using Cronbach's α, inter-item correlations, and item-total correlations. A multi-factor structure was identified for each PLAYself subsection. A 2-factor structure was identified for the Environment subsection accounting for 55.2% of the variance. A 2-factor structure was identified for the Physical Literacy Self-Description subsection accounting for 57.1% of the variance. A 3-factor structure was identified for the Relative Ranking of Literacies subsection accounting for 70.3% of the variance. The Environment, Physical Literacy Self-Description, and Relative Ranking of Literacies subsections demonstrated poor ( α = 0.577), good ( α = 0.89), and acceptable ( α = 0.79) internal consistencies, respectively. The Physical Literacy Self-Description subsection demonstrated the best psychometric properties in our sample, and thus may be an appropriate tool to assess physical literacy in a young adult population until additional measurement tools are developed. |
Databáze: | OpenAIRE |
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