Measuring Serious Leisure in Chess

Model Confirmation and Method Bias

Dados Bibliográficos

ID11217586
AutoresJames Gould (0000-0002-0622-7674, University of Northern Colorado, autor correspondente), 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)
Ano2011
Volume33
Fascículo4
Páginas332-340
Data de publicação2011-07-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoLeisure Sciences (JOURNAL)
Identificadores do periódicoISSN: 0149-0400 • E-ISSN: 1521-0588
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01490400.2011.583165
OpenAlexW2068999679
IdiomaEN
Citações recebidas36
Referências 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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