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Journals / Pamukkale Journal of Sport Sciences / 2026 / Volume: 17 Issue: 1

Adaptation of the Sporting Event Personality Scale to Turkish Culture

Orçun Ocakoğlu(MARMARA UNIVERSITY, FACULTY OF SPORTS SCIENCE, DEPARTMENT OF SPORTS MANAGEMENT)0000-0002-0905-2785
Sema Alay Özgül(MARMARA UNIVERSITY, FACULTY OF SPORTS SCIENCE, DEPARTMENT OF SPORTS MANAGEMENT)0000-0002-8329-0028
Ünal Karlı(BOLU ABANT IZZET BAYSAL UNIVERSITY, FACULTY OF SPORTS SCIENCE, DEPARTMENT OF PHYSICAL EDUCATION AND SPORTS)0000-0002-4497-4443
Pages
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Publication Date
2026-03-07
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Consequently, it was concluded that SEPS can be considered a valid and reliable tool for studies of the Turkish population to yield meaningful interpretations of the personalities of sports events organized in Türkiye.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The purpose of this study is to adaptation of the “Sporting Event Personality Scale” (SEPS) developed by Lee and Cho (2012) in Turkish culture.
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Key Findings & Data:In terms of practical implications, the research findings may assist sports managers and event organizers in evaluating the personality of their events and developing positioning strategies to create differentiation in competition.
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Conclusion & Impact:Consequently, it was concluded that SEPS can be considered a valid and reliable tool for studies of the Turkish population to yield meaningful interpretations of the personalities of sports events organized in Türkiye.
🔬Design:Research Article
📍Scope:2012 Verileri
⚙️Variables:Sports Event · Event Personality · Sports Event Personality

Abstract

The purpose of this study is to adaptation of the “Sporting Event Personality Scale” (SEPS) developed by Lee and Cho (2012) in Turkish culture. In terms of practical implications, the research findings may assist sports managers and event organizers in evaluating the personality of their events and developing positioning strategies to create differentiation in competition. A total of 392 volunteer athletes over the age of 18, 149 of whom were female (38%) and 243 were male (62%), participated in the study using criterion sampling, a purposive sampling method. Descriptive statistics were used for demographic data and normality tests, and Confirmatory Factor Analysis (CFA) was performed for construct validity during the scale adaptation process. composite reliability (CR), average variance extracted (AVE), maximum shared variance (MSV), and average shared variance (ASV) values were calculated for convergent and discriminant validity, and Cronbach's Alpha values were calculated for reliability. The scale's measurement consistency over time was also evaluated using the test-retest method. The findings showed that the SEPS adapted in this study retained the psychometric properties of the original scale developed by Lee and Cho (2012). The scale has adequate fit indices for the CFA, convergent and discriminant validity, and high internal consistency coefficients. Consequently, it was concluded that SEPS can be considered a valid and reliable tool for studies of the Turkish population to yield meaningful interpretations of the personalities of sports events organized in Türkiye.

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Cite This Article

Ocakoğlu, O., Özgül, S. A., Karlı, Ü. (2026). Adaptation of the Sporting Event Personality Scale to Turkish Culture. Pamukkale Journal of Sport Sciences, Volume: 17 Issue: 1. https://doi.org/10.54141/psbd.1805636

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References (56)

  1. Aaker, J.L. (1997). Dimensions of brand personality. Journal of Marketing Research, 34(3), 347-356. https://doi.org/10.1177/002224379703400304
  2. Alexandris, K. (2016). Testing the role of sport event personality on the development of event involvement and loyalty: The case of mountain running races. International Journal of Festivals and Event Management, 7(1), 2-20. https://doi.org/10.1108/IJEFM-10-2015-0041
  3. Alexandris, K., Du, J. & Funk, D. (2016). The influence of sport activity personality on the stage based development of attitude formation among recreational mountain skiers. Managing Sport and Leisure, 21(4), 218-238. https://doi.org/10.1080/23750472.2016.1255155
  4. Bentler, P.M. & Bonett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606. https://doi.org/10.1037/0033-2909.88.3.588
  5. Blank, S.A., Koenigstorfer, J. & Baumgartner, H. (2018). Sport team personality: It’s not all about winning. Sport Management Review, 21(2), 114-132. https://doi.org/10.1016/j.smr.2017.05.004
  6. Brislin, R.W. (1980). Translation and content analysis of oral and written material. Handbook of Cross-Cultural Psychology, 2(2), 349-444.
  7. Brown, T.A. & Moore, M.T. (2012). Handbook of structural equation modeling. New York: Guilford Press.
  8. Büyüköztürk, Ş. (2021). Sosyal bilimler için veri analizi el kitabı. Pegem Akademi.
  9. Carlson, B.D., Donavan, D.T. & Cumiskey, K.J. (2009). Consumer-brand relationships in sport: Brand personality and identification. International Journal of Retail and Distribution Management, 37(4), 370-384. https://doi.org/10.1108/09590550910948592
  10. Caslavova, E. & Petrackova, J. (2011). The brand personality of large sport events. Kineziologija, 43(1), 91-106.
  11. Child, D. (2006). The essentials of factor analysis. London: Continuum Books.
  12. Çevik, H., Şimşek, K.Y., Mercanoğlu, A.O. & Bayram, A. (2018). Spor etkinlik kişiliği ölçeğinin geçerlik ve güvenirliği. Spormetre, 16(2), 245-258. https://doi.org/10.1501/Sporm_0000000370
  13. Deniz, Z. (2007). Psikolojik ölçme aracı uyarlama. Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi, 40(1), 1-16. https://doi.org/10.1501/Egifak_0000000158
  14. DeVellis, R.F. (2017). Scale development: Theory and applications. Thousand Oaks, CA: Sage.
  15. Eisend, M.A. & Stokburger-Sauer, N.E. (2013). Brand personality: A meta-analytic review of antecedents and consequences. Marketing Letters, 24(3), 205-216.
  16. Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. London: Sage Publications.
  17. Fornell, C. & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
  18. Giroux, M., Pons, F. & Maltese, L. (2017). The role of perceived brand personality in promotion effectiveness and brand equity development of professional sports teams. International Journal of Sports Marketing and Sponsorship, 18(2), 180-195. https://doi.org/10.1108/IJSMS-05-2017-092
  19. Gupta, K. & Singh, N. (2014). Fit estimation in SEM: A synthesis of related statistics. HSB Research Review, 8(2), 20-27.
  20. Hair, J.F., Black, W.C., Babin, B.J. & Anderson, R.E. (2010). Multivariate data analysis. NY: Prentice Hall.
  21. Hambleton, R.K. & Patsula, L. (1999). Increasing the validity of adapted tests: Myths to be avoided and guidelines for improving test adaptation practices. Journal of Applied Testing Technology, 1(1), 1-30.
  22. Hu, L.T. & Bentler, P.M. (1999). Cut off 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
  23. Jaccard, J. & Wan, C.K.W. (1996). LISREL approaches to interaction effects in multiple regression. Sage Publications.
  24. Karagiorgos, T., Ntovoli, A. & Alexandris, K. (2022). Developing a brand personality framework in the context of outdoor small-scale sport events. Journal of Convention & Event Tourism, 24(3), 246-268. https://doi.org/10.1080/15470148.2022.2158153
  25. Karjaluoto, H., Munnukka, J. & Salmi, M. (2016). How do brand personality, identification, and relationship length drive loyalty in sports? Journal of Service Theory and Practice, 26(1), 50-71. https://doi.org/10.1108/JSTP-09-2014-0206
  26. Kim, Y.M., Kim, K.C. & Kim, W.S. (2009). The effect of the brand personality of sporting goods on brand satisfaction, brand identification and brand loyalty. Korean Society For Sport Management, 14(3), 233-246.
  27. Kim, D., Kim, H., Huang, Y. & Jeon, Y.K. (2020). Structural relationship between brand personality of Winter Olympics and host nation, image fit and loyalty. International Journal of Human Movement Science, 14(2), 109-122. https://doi.org/10.23949/ijhms.2020.12.14.2.7
  28. Kline, R.B. (2011). Principles and practice of structural equation modeling. London: Guilford Publications.
  29. Kogoya, K., Guntoro, T.S. & Putra, M.F.P. (2022). Sports event image, satisfaction, motivation, stadium atmosphere, environment, and perception: A study on the biggest multi-sport event in Indonesia during the pandemic. Social Sciences MDPI, 11(6), 1-13. https://doi.org/10.3390/socsci11060241
  30. Koo, S.K., Byon, K.K. & Baker, T.A. (2014). Integrating event image, satisfaction, and behavioral intention; small-scale marathon event. Sport Marketing Quarterly, 23(3), 127-137.
  31. Lee, H.S. & Cho, C.H. (2009). The matching effect of brand and sporting event personality: Sponsorship implications. Journal of Sport Management, 23(1), 41-64. https://doi.org/10.1123/jsm.23.1.41
  32. Lee, H.S. & Cho, C.H. (2012). Sporting event personality: Scale development and sponsorship implications. International Journal of Sports Marketing and Sponsorship, 14(1), 46-63. https://doi.org/10.1108/IJSMS-14-01-2012-B005
  33. Lianopoulos, Y., Theodorakis, N.D., Alexandris, K. & Papanikolaou, M. (2021). Testing the relationships among event personality, event image and runners’ loyalty: A study of an international running event. Sport, Business and Management: An International Journal 12(1), 189-207. https://doi.org/10.1108/SBM-12-2020-0135
  34. Mardia, K.V. (1974). Applications of some measures of multivariate skewness and kurtosis in testing normality and robustness studies. The Indian Journal of Statistics, 36(2), 115-128.
  35. Marsh, H.W. & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First and higher order factor models and their invariance across groups. Psychological Bulletin, 97(1), 562-582. https://doi.org/10.1037/0033-2909.97.3.562
  36. Marsh, H.W., Balla, J.R. & McDonald, R.P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect size. Psychological Bulletin, 103(3), 391-410. https://doi.org/10.1037/0033-2909.103.3.391
  37. Martinez, G., Marin. B. & Schoua-Glusberg A. (2006). Translating from English to Spanish: The 2002 national survey of family growth. Hispanic Journal of Behaviour Science, 28(1), 531-545. https://doi.org/10.1177/0739986306292293
  38. Meenaghan, T. (2001) Understanding sponsorship effects. Psychology & Marketing 18(2), 95-122.
  39. Mulaik, S.A., James, L.R., Van Alstine, J., Bennett, N., Lind, S. & Stilwell, C.D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105(3), 430-445. https://doi.org/10.1037/0033-2909.105.3.430
  40. Nachmias, C.F. & Nachmias, D. (1996). Research methods in the social sciences. London: St. Martin’s Press Inc.
  41. Nunnally, J.C. & Bernstein, I.H. (1994). Psychometric theory. New York: McGraw-Hill.
  42. Pan, Y. & De La Puente, M. (2005). Census bureau guideline for the translation of data collection instruments and supporting materials. Washington DC: Educational Research Press.
  43. Papadimitriou, D., Kaplanidou, K., Alexandris, K. & Theodorakis, N. (2019). The brand personality of professional football teams: A refined model based on the Greek professional football league. Sport, Business and Management: An International Journal, 9(5), 443-459. https://doi.org/10.1108/SBM-03-2018-0021
  44. Raykov, T., Tomer, A. & Nesselroade, J.R. (1991). Reporting structural equation modeling results in psychology and aging: Some proposed guidelines. Psychology and Aging, 6(1), 499-503. https://doi.org/10.1037/0882-7974.6.4.499
  45. Rencher, A.C. (1998). Multivariate statistical inference and applications. New York: Wiley.
  46. Schumacker, R.E. & Lomax, R.G. (2004). A beginner's guide to structural equation modeling. Lawrence Erlbaum Associates Publishers.
  47. Simonsen, E. & Elklit, A. (2008). Experiences in translating and validating the MCMI in Denmark. New York: Guilford Press.
  48. Steiger, J.H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25(2), 173-80. https://doi.org/10.1207/s15327906mbr2502_4
  49. Tabachnick, B.G. & Fidell, L.S. (2007). Using multivariate statistics. Boston: Pearson Education Inc.
  50. Thompson, B. & Daniel, L.G. (1996). Factor analytic evidence for the construct validity of scores: A historical overview and some guidelines. Educational and Psychological Measurement, 56(2), 197-208. https://doi.org/10.1177/0013164496056002001
  51. Tiessen-Raaphorst, A. (2016). Running across Europe: The rise and size of the largest sport markets. European Journal for Sport and Society, 13(1), 250-251. https://doi.org/10.1080/16138171.2016.1226032
  52. Tsiotsou, R. (2009, June 18-19). An empirical analysis of the brand personality effect on brand involvement [Oral presentation]. 8th International Conference of the International Association on Public and Non Profit Marketing, Valencia.
  53. Usakli, A. & Baloglu, S. (2011). Brand personality of tourist destinations: An application of self-congruity theory. Tourism Management, 32(1), 114-127. https://doi.org/10.1016/j.tourman.2010.06.006
  54. Walsh, P., Clavio, G., Lovell, M.D. & Blaszka, M. (2013), Differences in event brand personality between social media users and non-users. Sport Marketing Quarterly, 22(1), 214-223.
  55. Wang, J.J., Wann, D.L., Lu, Z. & Zhang, J.J. (2018). Self-expression through sport participation: Exploring participant desired self-image. European Sport Management Quarterly, 18(5), 583-606. https://doi.org/10.1080/16184742.2018.1446994
  56. Yurdugül, H. (2007). The effects of different correlation types on goodness-of-fit indices in first order and second order factor analysis for multiple choice test data. Elementary Education Online, 6(1), 154-179.