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Bifactor analysis of motivation for charity sport event participation

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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.

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References

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.

    Article  Google Scholar 

  • Ajzen, I. (2011). The theory of planned behavior: reactions and reflections. Psychology & Health, 26(9), 1113–1127.

    Article  Google Scholar 

  • Bennett, R., Mousley, W., Kitchin, P., & Ali-Choudhury, R. (2007). Motivations for participating in charity-affiliated sporting events. Journal of Customer Behaviour, 6(2), 155–178. doi:10.1362/147539207X223375.

    Article  Google Scholar 

  • Billing, J. E., Holt, D., & Smith, J. (1985). Athletic fund-raising: Exploring the motives behind private donations. Chapel Hill: University of North Carolina Press.

    Google Scholar 

  • Chen, F. F., West, S. G., & Sousa, K. H. (2006). A comparison of bifactor and second-order models of quality of life. Multivariate Behavioral Research, 41(2), 189–225.

    Article  Google Scholar 

  • Chen, F. F., Hayes, A., Carver, C. S., Laurenceau, J.-P., & Zhang, Z. (2012). Modeling general and specific variance in multifaceted constructs: a comparison of the bifactor model to other approaches. Journal of Personality, 80(1), 219–251. doi:10.1111/j.1467-6494.2011.00739.x.

    Article  Google Scholar 

  • Chen, F. F., **g, Y., Hayes, A., & Lee, J. M. (2013). Two concepts or two approaches? A bifactor analysis of psychological and subjective well-being. Journal of Happiness Studies, 14, 1033–1068.

    Article  Google Scholar 

  • Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16.

    Article  Google Scholar 

  • Filo, K., Funk, D. C., & O’Brien, D. (2008). It’s really not about the bike: exploring attraction and attachment to the events of the Lance Armstrong Foundation. Journal of Sport Management, 22(5), 501–525.

    Google Scholar 

  • Filo, K., Funk, D. C., & O’Brien, D. (2011). Examining motivation for charity sport event participation: a comparison of recreation-based and charity-based motives. Journal of Leisure Research, 43(4), 491–518.

    Google Scholar 

  • Filo, K., Spence, K., & Sparvero, E. (2013). Exploring the properties of community among charity sport event participants. Managing Leisure, 18(3), 194–212.

    Article  Google Scholar 

  • Gignac, G. E., & Watkins, M. W. (2013). Bifactor modeling and the estimation of model-based reliability in the WAIS-IV. Multivariate Behavioral Research, 48(5), 639–662. doi:10.1080/00273171.2013.804398.

    Article  Google Scholar 

  • Gladden, J. M., Mahony, D. F., & Apostolopoulou, A. (2005). Toward a better understanding of college athletic donors: what are the primary motives? Sport Marketing Quarterly, 14, 18–30.

    Google Scholar 

  • Grant Space. (2014). Knowledge base. Retrieved 2014, July 1, from: http://grantspace.org/tools/knowledge-base/Funding-Resources/General/special-events.

  • Gustafsson, J.-E., & Balke, G. (1993). General and specific abilities as predictors of school achievement. Multivariate Behavioral Research, 28(4), 407.

    Article  Google Scholar 

  • Hendriks, M., & Peelen, E. (2013). Persons in action: linking event participation motivation to charitable giving and sports. International Journal of Nonprofit and Voluntary Sector Marketing, 18, 60–72.

    Article  Google Scholar 

  • Luo, X. (2005). A contingent perspective on the advantages of stores’ strategic philanthropy for influencing consumer behaviour. Journal of Consumer Behaviour, 4(5), 390–401.

    Article  Google Scholar 

  • Manning, M. (2009). The effects of subjective norms on behaviour in the theory of planned behaviour: a meta-analysis. British Journal of Social Psychology, 48(4), 649–705.

    Article  Google Scholar 

  • McInerney, D. M., Brown, G. T., & Liem, G. A. D. (2009). Achievement motivation in cross-cultural context: Application of personal investment theory in educational settings. In A. Kaplan, S. A. Karabenick, & E. De Groot (Eds.), Culture, self, and motivation: Essays in honor of Martin L. Maehr (pp. 213–241). Charlotte: Information Age Publishing.

    Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (2010). Mplus software (Version 6). Los Angeles: Muthén & Muthén.

    Google Scholar 

  • Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

    Google Scholar 

  • Reise, S. P., Morizot, J., & Hays, R. (2007). The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Quality of Life Research, 16(1), 19–31. doi:10.1007/s11136-007-9183-7.

    Article  Google Scholar 

  • Reise, S. P., Moore, T. M., & Haviland, M. G. (2010). Bifactor models and rotations: exploring the extent to which multidimensional data yield univocal scale scores. Journal of Personality Assessment, 92(6), 544–559. doi:10.1080/00223891.2010.496477.

    Article  Google Scholar 

  • Rindskopf, D., & Rose, T. (1988). Some theory and applications of confirmatory second-order factor analysis. Multivariate Behavioral Research, 23(1), 51–67.

    Article  Google Scholar 

  • Satorra, A., & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variables analysis: Applications for developmental research (pp. 399–419). Newbury Park: Sage.

    Google Scholar 

  • Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507–514.

    Article  Google Scholar 

  • Scott, A., & Solomon, P. J. (2003). The marketing of cause-related events: a study of participants as consumers. Journal of Nonprofit & Public Sector Marketing, 11(2), 43–66. doi:10.1300/J054v11n02_03.

    Article  Google Scholar 

  • Shank, M. D. (2008). Sports marketing: A strategic perspective (4th ed.). Upper Saddle River: Pearson Prentice Hall.

    Google Scholar 

  • Snelgrove, R., & Wood, L. (2010). Attracting and leveraging visitors at a charity cycling event. Journal of Sport & Tourism, 15(4), 269–285. doi:10.1080/14775085.2010.533918.

    Article  Google Scholar 

  • Sullivan, P., & Clolery, P. (2014). Volunteers hiding in plain sight. The NonProfit Times, p. 6.

  • Taylor, R., & Shanka, T. (2008). Cause for event: not-for-profit marketing through participant sports events. Journal of Marketing Management, 24(9–10), 945–958. doi:10.1362/026725708X381984.

    Article  Google Scholar 

  • van Dinther, M., Dochy, F., Segers, M., & Braeken, J. (2013). The construct validity and predictive validity of a self-efficacy measure for student teachers in competence-based education. Studies in Educational Evaluation, 39(3), 169–179. doi:10.1016/j.stueduc.2013.05.001.

    Article  Google Scholar 

  • Wang, J., & Wang, X. (2012). Structural equation modeling: Applications using Mplus. West Sussex: Wiley.

    Book  Google Scholar 

  • Webber, D. (2004). Understanding charity fundraising events. International Journal of Nonprofit and Voluntary Sector Marketing, 9(2), 122–134. doi:10.1002/nvsm.239.

    Article  Google Scholar 

  • Wiesner, M., & Schanding, G. T. (2013). Exploratory structural equation modeling, bifactor models, and standard confirmatory factor analysis models: application to the BASC-2 behavioral and emotional screening system teacher form. Journal of School Psychology, 51(6), 751–763. doi:10.1016/j.jsp.2013.09.001.

    Article  Google Scholar 

  • Wilson, J., & Musick, M. (1997). Who cares? Toward an integrated theory of volunteer work. American Sociological Review, 62(5), 694–713.

    Article  Google Scholar 

  • Won, D., & Park, M. (2010). Motivating factors influencing college students’ participation in charity sport events. International Journal of Sport Management and Marketing, 8(3), 296–321.

    Article  Google Scholar 

  • Won, D., Park, M., & Turner, B. A. (2010). Motivations for participating in health related charity sport events. Journal of Venue and Event Management, 1(1), 17–44.

    Google Scholar 

  • Yang, Y., Sun, Y., Zhang, Y., Jiang, Y., Tang, J., Zhu, X., & Milao, D. (2013). Bifactor item response theory model of acute stress response. PLoS ONE, 8(6), e65291.

    Article  Google Scholar 

  • Yuan, K.-H., & Bentler, P. M. (2000). Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data. Sociological Methodology, 30(1), 165–200. doi:10.1111/0081-1750.00078.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Sport & Leisure Studies, Yonsei University, Seoul, 120-749, Korea

    Weisheng Chiu & Doyeon Won

  2. School of Economic, Political & Policy Sciences, University of Texas at Dallas, Richardson, TX, 75080, USA

    Young-joo Lee

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  1. Weisheng Chiu
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  2. Young-joo Lee
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  3. Doyeon Won
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Correspondence to Doyeon Won.

Appendix

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Table 2

Table 2 Measurement items
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Chiu, W., Lee, Yj. & Won, D. Bifactor analysis of motivation for charity sport event participation. Int Rev Public Nonprofit Mark 13, 1–13 (2016). https://doi.org/10.1007/s12208-015-0141-8

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