Adaptation of compulsive sport consumption scale into Turkish culture: CSCS-T

Yıl 2023, , 482 - 495, 22.09.2023

Murat Aygün , Sait Çüm

https://doi.org/10.21449/ijate.1263531

Öz

Consuming sports products and services incessantly without being able to restrain oneself is characterized as compulsive sports consumption. The aim of this study is to adapt the Compulsive Sport Consumption Scale (CSCS) developed in English by Aiken et al. (2018) into Turkish utilizing a scientific scale adaptation process. The CSCS consists of six items and is graded on a seven-point Likert scale ranging from strongly disagree to strongly agree. Higher CSCS levels are affiliated with psychological and behavioral constructs related to the effects of sports consumption, such as time, money, coping, and psychological and behavioral neglect. The scale has been tailored via a group of English and Turkish linguists, sports scientist, and psychometrist. Parallel analysis has been performed on account of inspecting the dimensionality of the scale, and many statistics such as unidimensional congruence, explained common variance, mean of item residual absolute loadings, and robust fit statistics have been used. In accordance with parallel analysis, the scale was unidimensional, and all other statistics supported that as well. The unidimensional adapted scale (CSCS-T) explained approximately 83% of the total variance. Additionally, internal consistency, composite reliability, and test-retest reliability have been examined to determine the measurement's reliability. Cronbach's Alpha was .958, McDonald's Omega was .958, and Pearson's product-moment correlation coefficient was .923 in the wake of the test-retest application. All of the findings propound that when investigating compulsive over-participation in sports consumption in Turkish-speaking populations, the CSCS-T can be used to acquire valid and reliable measures.

Anahtar Kelimeler

Compulsive sport consumption, Scale adaptation, Parallel analysis, Validity, Reliability

Etik Beyan

Ardahan University, 16.02.2023, E-67796128-000-2300006274.

Proje Numarası

-

Kaynakça

• Aiken, K.D., Bee, C., & Walker, N. (2018). From passion to obsession: Development and validation of a scale to measure compulsive sport consumption. Journal of Business Research. 87, 69-79. https://doi.org/10.1016/j.jbusres.2018.02.019
• Armstrong, K.L., & Peretto Stratta, T.M. (2004). Market analyses of race and sport consumption. Sport Marketing Quarterly, 13(1), 7-16.
• Baker, F.B. (2001). The basics of item response theory. MD: ERIC Clearinghouse on Assessment and Evaluation.
• Chan-Olmsted, S., & Kwak, D.H. (2020). Fantasy sport usage and multiplatform sport media consumption behaviors. Sport Marketing Quarterly, 29(3), 204 214. http://doi.org/10.32731/SMQ.293.092020.04
• Chan-Olmsted, S., & Xiao, M. (2019). Smart sports fans: Factors influencing sport consumption on smartphones. Sport Marketing Quarterly, 28(4), 181 194. http://doi.org/10.32731/SMQ.284.122019.01
• Cottingham, M., Phillips, D., Hall, S.A., Gearity, B.T., & Carroll, M.S. (2014). Application of the motivation scale for disability sport consumption: An examination of intended future consumption behavior of collegiate wheelchair basketball spectators. Journal of Sport Behavior, 37(2), 117.
• Faber, R.J., O'Guinn, T.C., & Krych, R. (1987). Compulsive consumption. Advances in Consumer Research, 14, 132-135.
• Finch, W.H. (2020). Using fit statistic differences to determine the optimal number of factors to retain in an exploratory factor analysis. Educational and Psychological Measurement, 80(2), 217-241. https://doi.org/10.1177/0013164419865
• Fink, J.S., Trail, G.T., & Anderson, D. (2002). Environmental factors associated with spectator attendance and sport consumption behavior: Gender and team differences. Sport Marketing Quarterly, 11(1), 8-19.
• Ha, J.P., Kang, S.J., & Kim, Y. (2017). Sport fans in a “smart sport” (SS) age: Drivers of smartphone use for sport consumption. International Journal of Sports Marketing and Sponsorship, 18(3), 281-297. http://doi.org/110.1108/IJSMS-08-2017-093
• Hancock, G.R., & Mueller, R.O. (2000). Rethinking construct reliability within latent variable systems. In R. Cudek, S.H.C. duToit & D.F. Sorbom (Eds.), Structural equation modeling: Present and future (pp. 195-216). Scientific Software.
• Hansen, H., & Gauthier, R. (1989). Factors affecting attendance at Professional sport events. Journal of Sport Management, 3(1), 15-32. https://doi.org/10.1123/jsm.3.1.15
• Hayton, J.C., Allen, D.G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor Analysis: A tutorial on parallel analysis. Organizational Research Methods, 7(2), 191-205. https://doi.org/10.1177/1094428104263675
• Hopkinson, G.C., & Pujari, D. (1999). A factor analytic study of the sources of meaning in hedonic consumption. European Journal of Marketing, 33(3/4), 273 290. https://doi.org/10.1108/03090569910253053
• Hu, L.-I., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. https://doi.org/10.1080/10705519909540118
• Huang, H.L., Chen, Y.Y., & Sun, S.C. (2022). Conceptualizing the internet compulsive-buying tendency: What we know and need to know in the context of the covıd-19 pandemic. Sustainability, 14, 1549. https://doi.org/10.3390/su14031549
• Hur, Y., Ko, Y.J., & Valacich, J. (2007). Motivation and concerns for online sport consumption. Journal of Sport Management, 21, 521-539. https://doi.org/10.1123/jsm.21.4.521
• Jang, W., Wu, L., & Wen, J. (2021). Understanding the effects of different types of meaningful sports consumption on sports consumers’ emotions, motivations, and behavioral intentions. Sport Management Review, 24(1), 46 68. https://doi.org/10.1016/j.smr.2020.07.002
• Kempf, D.S. (1999). Attitude formation from product trial: Distinct roles of cognition and affect for hedonic and functional products. Psychology & Marketing, 16(1), 35–50. https://doi.org/10.1002/(SICI)1520-6793(199901)16:1<35::AID-MAR3>3.0.CO;2-U
• Kim, M.J., & Mao, L.L. (2021) Sport consumers motivation for live attendance and mediated sports consumption: A qualitative analysis. Sport in Society, 24(4), 515-533. https://doi.org/10.1080/17430437.2019.1679769
• Kim, Y.K., & Trail, G. (2011). A Conceptual framework for understanding relationships between sport consumers and sport organizations: A relationship quality approach. Journal of Sport Management, 25(1), 57-69. https://doi.org/10.1123/jsm.25.1.57
• Koning, R.H. (2009). Sport and measurement of competition. De Economist, 157, 229-249. https://doi.org/10.1007/s10645-009-9113-x
• Koronios, K., Travlos, A., Douvis, J., & Papadopoulos, A. (2020). Sport, media and actual consumption behavior: An examination of spectator motives and constraints for sport media consumption. EuroMed Journal of Business, 15(2), 151 166. https://doi.org/10.1108/EMJB-10-2019-0130
• Lera-Lopez, F., & Rapun-Garate, M. (2007). The demand for sport: Sport consumption and participation models. Journal of Sport Management, 21, 103 122. https://doi.org/10.1123/jsm.21.1.103
• Lorenzo-Seva (2021). SOLOMON: A method for splitting a sample into equivalent subsamples in factor analysis. Behavior Research Method, in press.
• Mehus, I. (2005). Distinction through sport consumption: Spectators of soccer, basketball, and ski-jumping. International Review for the Sociology of Sport, 40(3), 321-333. http://doi.org//10.1177/1012690205060159
• Nunnally, J.C. (1978). Psychometric Theory. McGraw-Hill.
• Rizopoulos, D. (2006). ltm: An R package for latent variable modelling and item response theory analyses. Journal of Statistical Software, 17(5), 1 25. https://doi.org/10.18637/jss.v017.i05
• Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research, 8(2), 23-74.
• Seo, W.J., & Green, B.C. (2008). Development of the motivation scale for sport online consumption. Journal of Sport Management, 22, 82 109. https://doi.org/10.1123/jsm.22.1.82
• Silverstein, A.B. (1987). Note on the parallel analysis criterion for determining the number of common factors or principal components. Psychological Reports, 61(2), 351 354. https://doi.org/10.2466/pr0.1987.61.2.351
• Thibaut, E., Vos, S., & Scheerder, J. (2014). Hurdles for sports consumption? The determining factors of household sports expenditures. Sport Management Review, 17, 444-454. http://doi.org/10.1016/j.smr.2013.12.001
• Trail, G., Fink, J.S., & Anderson, D.F. (2003). Sport spectator consumption behavior. Sport Marketing Quarterly, 12(1), 8-17.
• Trautmann‐Attmann, J., & Johnson, T.W. (2009). Compulsive consumption behaviours: investigating relationships among binge eating, compulsive clothing buying and fashion orientation. International Journal of Consumer Studies, 33(3), 267 273. https://doi.org/10.1111/j.1470-6431.2009.00741.x
• Wheaton, B. (2000). Just do it: Consumption, commitment, and identity in the windsurfing subculture. Sociology of Sport Journal, 17(3), 254 274. https://doi.org/10.1123/ssj.17.3.254
• Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine, 8(3), 1 13. https://doi.org/10.33151/ajp.8.3.93
• Yoshida, M., & Nakazawa, M. (2016) Innovative sport consumption experience: An Empirical test in spectator and participant sports. Journal of Applied Sport Management, 8(1), 1-21. https://doi.org/10.18666/JASM-2016-V8-I1-6024
• Zwick, W.R., & Velicer, W.F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99(3), 432 442. https://doi.org/10.1037/0033-2909.99.3.432