Exploring the possibility of meta-analysis in exploratory factor analysis: A methodological commentary

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

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.

Language:
English
Published:
Nursing Practice Today, Volume:12 Issue: 3, Summer 2025
Pages:
214 to 220
https://www.magiran.com/p2871042  
سامانه نویسندگان
  • Corresponding Author (1)
    Hamid Sharif Nia
    Associate Professor Nursing, Mazandaran University Of Medical Sciences, Sari, Iran
    Sharif Nia، Hamid
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