A Meta-Analytic Reliability Generalization Study of the Oxford Happiness Scale in Turkish Sample

Bağcı V., Yıldırım Görgülü Y., Tan Ş.

Journal of Measurement and Evaluation in Education and Psychology, cilt.11, sa.4, ss.374-404, 2020 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11 Sayı: 4
  • Basım Tarihi: 2020
  • Doi Numarası: 10.21031/epod.766266
  • Dergi Adı: Journal of Measurement and Evaluation in Education and Psychology
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.374-404
  • Anahtar Kelimeler: Reliability generalization, meta-analysis, Oxford happiness scale, INTERNAL STRUCTURE, SCORE RELIABILITY, COEFFICIENT ALPHA, MEASUREMENT ERROR, PUBLICATION BIAS, PERSONALITY, INVENTORY, QUESTIONNAIRE, STUDENTS, HETEROGENEITY
  • Gazi Üniversitesi Adresli: Evet

Özet

The purpose of this study was to analyze the meta-analytical reliability generalization of short form and long form of the Oxford Happiness Scale (OHS) for Turkish sample. In addition, how different moderator variables affect reliability coefficients was examined. A number of criteria have been set to determine the studies to be included in meta-analysis. Of 95 Cronbach’s Alpha coefficients obtained from 92 studies that were selected according to criteria were included in the meta-analysis. In the data analysis, reliability generalization based on meta-analysis was used. The effect of moderator variables on variability in reliability estimations as effect size was examined by Analog ANOVA. As a result of the research, it was found that the mean alpha was .81 for overall studies; .76 for the short form and .87 for the long form of OHS. In addition, it was concluded that number of items had a statistically significant effect on the reliability estimation in terms of heterogeneity of true effect sizes, and sample type had a statistically significant effect on the reliability estimation for OHS (long-form). But sample type had no effect on the reliability estimation for OHS-S (short-form), and field of study had no effect for both short and long form reliability estimates.