Predictive power of leisure constraint-negotiation models within the leisure-time physical activity context: A partial least squares structural equation modeling approach

An article written by CTR researchers, Dr. Shintaro Kono (CTR Visiting Fellow / University of Alberta), Dr. Eiji Ito (Wakayama University), Prof. Gordon J. Walker (ex-Distinguished University Professor, Wakayama University / Professor, University of Alberta)was published in the Journal of Leisure Research.

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Title

Predictive power of leisure constraint-negotiation models within the leisure-time physical activity context: A partial least squares structural equation modeling approach

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Authors

Shintaro Kono, Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada

Eiji Ito, Faculty of Tourism, Wakayama University, Wakayama, Japan

Gordon J. Walker, Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada

Jingjing Gui, Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada

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Source

Journal of Leisure Research, 2019

DOI: 10.1080/00222216.2019.1687266

https://www.tandfonline.com/doi/full/10.1080/00222216.2019.1687266

*Indexed in Scopus

Journal details: https://www.scopus.com/sourceid/28894

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Abstract

Although prediction is a stated goal of leisure constraints and constraint negotiation research, to date, empirical studies have solely focused on statistical explanation when comparing competing models. Our research, therefore, examined the predictive power of five leisure constraint-negotiation models within the context of leisure-time physical activity (LTPA). To do so, we utilized online survey data from 299 Japanese and 286?Euro-Canadian adults and employed partial least squares equation modeling¡¯s (PLS-SEM) predictive function. Our results indicated that the independence model¡ªin which constraints, negotiation, and motivation directly and separately predict participation¡ªdemonstrated better predictive power than the four alternatives. This finding was consistent across strenuous, moderate, and mild levels of LTPA and between the two national groups. We discuss the theoretical, practical, and methodological implications of our findings, and call for future research and theory development based on both explanatory and predictive evidence.

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Key words

Constraint negotiation, leisure constraints, leisure-time physical activity (LTPA), partial least squares structural equation modeling (PLS-SEM), statistical prediction