Measuring Serious Leisure in Chess

Model Confirmation and Method Bias

Datos Bibliográficos

ID11217586
AutoresJames Gould (0000-0002-0622-7674, University of Northern Colorado, autor de correspondencia), Dewayne Moore (0000-0003-4877-8607, Clemson University), Nancy J Karlin (0000-0003-0820-6903, University of Northern Colorado), Diane B Gaede (University of Northern Colorado), Joseph Walker, Joseph T Walker (University of North Texas), Andy R Dotterweich (East Tennessee State University)
Año2011
Volumen33
Número4
Páginas332-340
Fecha de publicación2011-07-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaLeisure Sciences (JOURNAL)
Identificadores de la revistaISSN: 0149-0400 • E-ISSN: 1521-0588
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01490400.2011.583165
OpenAlexW2068999679
IdiomaEN
Citas recibidas36
Referencias citadas27

The serious leisure inventory and measure (SLIM) was tested with 348 chess players to confirm the factors, assess the effects of method bias, and propose a set of the best-performing items for the 18 factor SLIM. The 54-item SLIM demonstrated acceptable fit and reliability values. The effect of method bias was evidenced in the sample and explained one-third of the variance. Inspection of factor loadings, when controlling for method bias, yielded one best-performing item per factor. Findings indicate method bias continues to be problematic for self-report measures such as the SLIM

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