Bifactor analysis of motivation for charity sport event participation

Weisheng Chiu; Young joo Lee; Doyeon Won

doi:10.1007/s12208-015-0141-8

Bifactor analysis of motivation for charity sport event participation

Weisheng Chiu, Young joo Lee, Doyeon Won

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1-13
Number of pages	13
Journal	International Review on Public and Nonprofit Marketing
Volume	13
Issue number	1
DOIs	https://doi.org/10.1007/s12208-015-0141-8
Publication status	Published - 1 Apr 2016
Externally published	Yes

Keywords

Bifactor modeling
Charity sport events
Nonprofit marketing
Participation motivation

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10.1007/s12208-015-0141-8

Cite this

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title = "Bifactor analysis of motivation for charity sport event participation",

abstract = "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 {\textquoteleft}sport and event{\textquoteright} and {\textquoteleft}cause{\textquoteright} while other three domain-specific motivations including {\textquoteleft}philanthropic{\textquoteright}, {\textquoteleft}social interaction{\textquoteright}, and {\textquoteleft}reference group{\textquoteright} are not statistically significant predictors. The results suggest that the bifactor model is more useful in predicting this group{\textquoteright}s participation in charity sport events.",

keywords = "Bifactor modeling, Charity sport events, Nonprofit marketing, Participation motivation",

author = "Weisheng Chiu and Lee, {Young joo} and Doyeon Won",

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doi = "10.1007/s12208-015-0141-8",

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AU - Chiu, Weisheng

AU - Lee, Young joo

AU - Won, Doyeon

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N2 - 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.

AB - 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.

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Bifactor analysis of motivation for charity sport event participation

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Keywords

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