Turkish Adaptation of Stadium Atmosphere Scale: A Comparison of Football Spectators and Fans
Year 2024,
, 33 - 58, 29.04.2024
İsmail Aydın
,
Buğra Akay
,
Fatih Yaşartürk
Abstract
This study aimed to test the Turkish adaptation of the Stadium Atmosphere Scale (STAS) and reveal its psychometric properties. We collected data from 324 football spectators and fans, which were selected using the convenience sampling method. We carried out four different tests for Turkish adaptation and psychometric properties of the scale after performing Turkish language co-validation. The CFA analysis with varying configurations of the model revealed that the construct of the STAS fit well in both the correlated factor model and the hierarchical model and best fit the data collected from the Turkish population. Additionally, we tested measurement and structural invariance to examine if the scale was also performed for spectators participating for different purposes in the same way and determined that the relevant scale preserved its basic structure in both football spectators and fans and that the scale could be used as an appropriate measurement tool. These results demonstrated that the STAS would be used as a valid and reliable measurement tool for the population in Turkey.
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Year 2024,
, 33 - 58, 29.04.2024
İsmail Aydın
,
Buğra Akay
,
Fatih Yaşartürk
References
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- Edensor, T. (2015). Producing atmospheres at the match: Fan cultures, commercialisation and mood management in English football. Emotion, Space and Society, 15(1), 82-89. https://doi.org/10.1016/j.emospa.2013.12.010
- Fornell, C. & Larcker, D. (1981) Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
- Gardner, K. J., & Qualter, P. (2011). Factor structure, measurement invariance and structural invariance of the MSCEIT V2.0. Personality and Individual Differences, 51(4), 492-496. https://doi.org/10.1016/j.paid.2011.05.004
- Gençer, R. T. (2005). Perceived service quality ın professional soccer clubs’ stadiums: an investigation on Fenerbahce Sükrü Saraçoğlu Stadium. Doctoral Thesis, Institute of Health Sciences of Marmara University, İstanbul.
- George, D., & Mallery, P. (2019). IBM SPSS Statistics 25 Step by Step: A simple guide and reference. Routledge.
- Green, S. B. (1991). How many subjects does it take to do a regression analysis?. Multivariate Behavioral Research, 26(3), 449-510. https://doi.org/10.1207/s15327906mbr2603_7
- Hightower, R., Brady, M. K., & Baker, T. L. (2002). Investigating the role of the physical environment in hedonic service consumption: An exploratory study of sporting events. Journal of Business Research, 55(9), 697-707. https://doi.org/10.1016/S0148-2963(00)00211-3
- Hill, B., & Green, B. C. (2000). Repeat attendance as a function of involvement, loyalty, and the sportscape across three football contexts. Sport management review, 3(2), 145-162. https://doi.org/10.1016/S1441-3523(00)70083-0.
- Holt, D. B. (1995). How consumers consume: A typology of consumption practices. Journal of Consumer Research, 22(1), 1-16. https://doi.org/10.1086/209431
- Hu, L. & Bentler, P. M. (1995). Evaluating model fit. In. R. H. Hoyle (Ed.) Structural Equation Modeling: Concepts, Issues, and Application, (pp. 76–99). Thousand Oaks, CA: Sage.
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- Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
- Hunter, J. E. & Gerbing, D. W. (1982) Unidimenisonal measurement, second order factor analysis, and causal models. Research in Organizational Behavior, 4, 267-320.
- Jensen, R. W., Limbu, Y., & Choi, J. J. (2016). How does the stadium atmosphere at a college football game affect behavioral intentions across gender lines? the mediating role of spectator satisfaction. International Journal of Management and Marketing Research, 9(2), 41-58.
- Jones, P., Isakjee, A., Jam, C., Lorne, C., & Warren, S. (2017). Urban landscapes and the atmosphere of place: Exploring subjective experience in the study of urban form. Urban Morphology, 21(1), 29-40. https://doi.org/10.51347/jum.v21i1.4116
- Karataş, Z. (2017). Paradigm transformation in social sciences research: Rise of qualitative approach. Turkish Journal of Social Work Research, 1(1), 68-86.
- Kelley, S.W., & Turley, L.W. (2001). Consumer perceptions of service quality attributes atsporting events. Journal of Business Research, 54(2), 161-166. https://doi.org/10.1016/S0148-2963(99)00084-3
- Kline, R. B. (2016). Principles and practice of structural equation modeling. Guilford Press.
- Leitch, W. (2018, July 11). Nobody’s going to sports in person anymore. And no one seems to care. New York Magazine. https:// nymag.com/intelligencer/2018/07/nobodys-going-to-sports-inperson-and-no-one-seems-to-care.html
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- Madrigal, R. (2003). Investigating an evolving leisure experience: Antecedents and consequences of spectator affect during a live sporting event. Journal of Leisure Research, 35(1), 23-48. https://doi.org/10.18666/jlr-2003-v35-i1-609
- Mardia, K. V. (1970) Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 519-530. https://doi.org/10.2307/2334770
- Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568-592. https://doi.org/10.1037/0021-9010.93.3.568
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- Nash, R. (2000). Contestation in modern English professional football: The independent supporters association movement. International Review for the Sociology of Sport, 35(4), 465-486. https://doi.org/10.1177/101269000035004002
- Noar, S. M. (2003) The role of structural equation modeling in scale development. Structural Equation Modeling, 10(4), 622-647. https://doi.org/10.1207/S15328007SEM1004_8
- Norris, C. J., Gollan, J., Berntson, G. G., & Cacioppo, J. T. (2010). The current status of research on the structure of evaluative space. Biological Psychology, 84(3), 422-436. https://doi.org/10.1016/j.biopsycho.2010.03.011
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