Development and psychometric evaluation of the E-sports Attitude Scale


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Karakaya Y. E., Demir S., Gelbal S., Devecioglu S., MAVİŞ-SEVIM F. O., YENEN E. T., ...Daha Fazla

International Journal of Assessment Tools in Education, cilt.13, sa.1, ss.308-329, 2026 (ESCI, TRDizin)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.21449/ijate.1662535
  • Dergi Adı: International Journal of Assessment Tools in Education
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Central & Eastern European Academic Source (CEEAS), EBSCO Education Source, Education Abstracts, ERIC (Education Resources Information Center), Directory of Open Access Journals, TR DİZİN (ULAKBİM), Education Source Ultimate (EBSCO)
  • Sayfa Sayıları: ss.308-329
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Hacettepe Üniversitesi Adresli: Evet

Özet

This study aimed to develop and conduct a comprehensive psychometric evaluation of a scale designed to measure university students’ attitudes toward e-sports. The research was carried out using a correlational research design. Two independent samples selected using maximum variation sampling were utilized: 797 students participated in the exploratory factor analysis (EFA), while 794 students were included in the confirmatory factor analysis (CFA). The EFA results revealed a four-factor structure -socialization, individualization, career, and risks- explaining 64% of the total variance. The CFA supported this structure with excellent model fit indices (CFI = .99, TLI = .98, RMSEA = .05, SRMR = .06). Reliability analyses demonstrated high internal consistency, with Cronbach’s α ranging from .89 to .93, McDonald’s ω between .90 and .94, and stratified α (.94) as well as Revelle’s ω (.97) for the total scale. Furthermore, measurement invariance across gender was examined and supported, indicating that the scale functions equivalently for male and female respondents. Additionally, Differential Item Functioning (DIF) analysis based on ordinal logistic regression revealed no significant gender-related item bias, reinforcing item-level fairness. These findings provide strong evidence for the validity, reliability, and fairness of the E-sports Attitude Scale, confirming its suitability for measuring attitudes toward e-sports in higher education contexts.