Cargando…

A Study on the Psychometric Properties of the Short Version of the Physical Activity Enjoyment Scale in an Adult Population

A new measure of the short form of the Physical Activity Enjoyment Scale (PACES-S), including four items, has been developed that focuses on the subjective experience of enjoyment. As validation has so far only been conducted in a youth population, the purpose of the present article was to test the...

Descripción completa

Detalles Bibliográficos
Autores principales: Fritsch, Julian, Weyland, Susanne, Feil, Katharina, Burchartz, Alexander, Schmidt, Steffen, Woll, Alexander, Strauch, Ulrich, Wienke, Benjamin, Jekauc, Darko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692518/
https://www.ncbi.nlm.nih.gov/pubmed/36430013
http://dx.doi.org/10.3390/ijerph192215294
Descripción
Sumario:A new measure of the short form of the Physical Activity Enjoyment Scale (PACES-S), including four items, has been developed that focuses on the subjective experience of enjoyment. As validation has so far only been conducted in a youth population, the purpose of the present article was to test the psychometric properties of the measure in an adult population in three studies. In the first study (n = 1017) the results supported the unidimensional structure of the instrument (χ(2) = 10.0; df = 2; p < 0.01; CFI = 0.992; RMSEA = 0.063), revealed a satisfactory level of internal consistency (ω = 0.79), and showed that the measure is invariant across gender. The results on factorial validity and internal consistency were generally supported by the second study (n = 482), which additionally showed satisfactory test–retest reliability (r = 0.73). Finally, the third study (n = 1336) also supported the factorial validity and internal consistency of the measure and additionally showed a positive correlation with physical activity (r = 0.40), thus supporting the criterion-related validity of the measure. This more economical version of PACES seems to be particularly useful for large-scale studies.