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عنوان انگلیسی Exploring the possibility of meta-analysis in exploratory factor analysis: A methodological commentary
چکیده انگلیسی مقاله Meta-analysis is a vital statistical tool in psychometric research, enabling the synthesis of multiple studies to enhance the reliability and validity of measurement instruments. This study applies meta-analytic techniques to exploratory factor analysis (EFA) to establish a structured framework for aggregating factor structures across psychological and health-related assessments. Given the variations in factor solutions due to methodological and sample differences, a systematic synthesis is essential. The study outlines key methodological considerations, including data extraction, effect size computation using Epsilon-Squared (ω²), heterogeneity analysis, and statistical synthesis via a random-effects model. Findings indicate that meta-analysis can improve the generalizability of factor structures, with Factor 1 accounting for an average ω² of 0.72 across studies. The results highlight the importance of refining statistical approaches to address factor heterogeneity and enhance psychometric meta-analytic practices. This research contributes to the advancement of valid and reliable measurement frameworks in psychological and health sciences.
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نویسندگان مقاله | Hamid Sharif-Nia
Psychosomatic Research Center, Mazandaran University of Medical Sciences, Sari, Iran AND Department of Nursing, Amol Faculty of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran


| Jason W. Osborne
Department of Statistics, Miami University, Oxford, Ohio, USA
نشانی اینترنتی https://npt.tums.ac.ir/index.php/npt/article/view/4118
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