SYSTEMATIC REVIEW article
Front. Psychol.
Sec. Educational Psychology
A Reliability Generalization Meta-Analysis of Self-Report Measures of Statistics Anxiety
Provisionally accepted
Emine Ören Özdemir1,2
Ibrahim Yildirim1*- 1University of Gaziantep, Gaziantep, Türkiye
- 2Turkiye Cumhuriyeti Milli Egitim Bakanligi, Ankara, Türkiye
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In this study, it was aimed to establish a general reliability value for each statistics anxiety scale. For this purpose, Web of Science, ERIC and Scopus databases and Google Scholar search engine were searched according to certain criteria and 84 Cronbach's alpha coefficients reported for the whole scale were reached. Reliability generalization meta-analysis method was applied to the obtained alpha coefficients within the scope of meta-analysis, which is a quantitative method. The mean value of the alpha coefficients for which the transformationformula was applied was found to be .927 under the random effects model, and the findings were statistically significant. In addition, the mean alpha value of each statistics anxiety scale was .931 for STARS, .917 for SAS, .918 for SAS-10 and .951 for WAESTA. Analog to the ANOVA and meta-regression analyses were conducted to reveal the heterogeneity of alpha coefficients in the overall analysis. Analog to ANOVA was applied for five different categorical variables, and according to the findings, it was observed that the mean alpha value differed statistically significantly depending on the scale type variable. Moreover, it was found that the mean scale score and the standard deviation of the mean scale score were statistically significant predictors of the mean alpha value.
Keywords: Reliability generalization, Meta-analysis, Reliability induction, Statistics anxiety, Reliability
Received: 29 Jul 2025; Accepted: 24 Nov 2025.
Copyright: © 2025 Ören Özdemir and Yildirim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ibrahim Yildirim, iyildirim84@gmail.com
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