Bifactor analysis of motivation for charity sport event participation

  • Weisheng Chiu
  • Young-joo Lee
  • Doyeon WonEmail author
Original Article


The purpose of this study was to examine the utility of the existing subscales of charity sport events (CSEs) participation motivation by adopting both a second-order modeling and a bifactor modeling approaches. The results with 488 college students revealed that the bifactor model provided a better interpretation of the data compared to second-order model. The five-factor CSE motivation significantly predict the intention to participate in CSEs along with two domain-specific motivations, namely ‘sport and event’ and ‘cause’ while other three domain-specific motivations including ‘philanthropic’, ‘social interaction’, and ‘reference group’ are not statistically significant predictors. The results suggest that the bifactor model is more useful in predicting this group’s participation in charity sport events.


Charity sport events Bifactor modeling Participation motivation Nonprofit marketing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Sport & Leisure StudiesYonsei UniversitySeoulKorea
  2. 2.School of Economic, Political & Policy SciencesUniversity of Texas at DallasRichardsonUSA

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