Comparison of Univariate and Multivariate Approaches in Meta-Analysis of Factor Analyses

• In Event: 30.081 - Poster Session 5
  In Poster Session: 30.081-10 - Division D Section 2 Poster Session

Abstract

Currently, factor analysis is becoming more popular in research in many areas, therefore, the study of methods for the meta-analysis of factor analyses is also becoming more important. The main purpose of this paper is to compare the results of seven different approaches including univariate and multivariate methods of meta-analysis of confirmatory factor analyses (CFA). Given the fact that factor analyses are commonly used, the second purpose is to explore the appropriate approach or approaches to use for the meta-analysis of CFA. Based on my simulation results, researchers who want to conduct meta-analytic confirmatory factor analysis can apply any of these approaches, except UMC, to synthesize the results from primary studies it their studies have n > 150.

Authors

• Kyunghwa Cho, Florida State University

• Betsy J. Becker, Florida State University