2022
DOI: 10.1371/journal.pone.0262976
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The Chinese assessment of physical literacy: Based on grounded theory paradigm for children in grades 3–6

Abstract: The aim of this study is to construct and validate “physical literacy self-assessment questionnaire” (PLAQ) for Chinese students in grades 3–6. This study uses qualitative and quantitative methods to construct evaluation indicators of PL and determine the weights of each indicator. The 60 items of original PLAQ was based on literature review and interviews, and administered to 1179 primary students graded 3–6 in China. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are used to optimiz… Show more

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Cited by 6 publications
(6 citation statements)
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“…After an exploratory factor analysis, 16 items with low loadings were deleted and 44 items were retained. A confirmatory factor analysis then confirmed the structure (physical competence, affective, knowledge and understanding, physical activity) of the 44 reduced items [ 35 ].…”
Section: Resultsmentioning
confidence: 90%
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“…After an exploratory factor analysis, 16 items with low loadings were deleted and 44 items were retained. A confirmatory factor analysis then confirmed the structure (physical competence, affective, knowledge and understanding, physical activity) of the 44 reduced items [ 35 ].…”
Section: Resultsmentioning
confidence: 90%
“…Five additional assessments that were not included in the prior reviews met our inclusion criteria. These include the Adolescent Physical Literacy Questionnaire (APLQ) [ 32 ], the Physical Literacy in Children Questionnaire (PL-C Quest) designed for primary school-aged children [ 33 , 34 ], the Physical Literacy self-Assessment Questionnaire (PLAQ) [ 35 ], and the Portuguese Physical Literacy Assessment Questionnaire (PPLA-Q) designed for adolescents in Grades 10–12 (aged 15–18 years) [ 36 , 37 ]. One PhD thesis was also identified; Dong [ 38 ] developed the Perceptions of Physical Literacy for Middle-School Students (PPLMS).…”
Section: Resultsmentioning
confidence: 99%
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“…The main category was extracted by merging the initial categories with the same concept connotation. Additionally, the initial category was the merging of the initial concepts with the same connotation ( Wang and Fu, 2022 ). The results of keyword extraction and categorization were displayed in Table 2 .…”
Section: Resultsmentioning
confidence: 99%