Recovery of Weak Factor Loadings When Adding the Mean Structure in Confirmatory Factor Analysis: A Simulation Study

Frontiers in Psychology
Carmen Ximénez

Abstract

This article extends previous research on the recovery of weak factor loadings in confirmatory factor analysis (CFA) by exploring the effects of adding the mean structure. This issue has not been examined in previous research. This study is based on the framework of Yung and Bentler (1999) and aims to examine the conditions that affect the recovery of weak factor loadings when the model includes the mean structure, compared to analyzing the covariance structure alone. A simulation study was conducted in which several constraints were defined for one-, two-, and three-factor models. Results show that adding the mean structure improves the recovery of weak factor loadings and reduces the asymptotic variances for the factor loadings, particularly for the models with a smaller number of factors and a small sample size. Therefore, under certain circumstances, modeling the means should be seriously considered for covariance models containing weak factor loadings.

References

Sep 21, 2013·Multivariate Behavioral Research·Steven P Reise
Apr 1, 2000·Multivariate Behavioral Research·A Skrondal
Mar 1, 2009·Multivariate Behavioral Research·J C F de WinterP A Wieringa
Jan 1, 2003·Multivariate Behavioral Research·Nancy E Briggs, Robert C MacCallum
Jul 1, 1991·Multivariate Behavioral Research·R E Millsap, H Everson

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Citations

Jul 31, 2019·Journal of Psychiatric and Mental Health Nursing·Zeynep ÖzaslanMark Haddad
Jul 4, 2017·Frontiers in Psychology·Javier Revuelta, Carmen Ximénez
Feb 13, 2020·Frontiers in Psychology·Manuel Martí-VilarLucas Marcelo Rodriguez
Mar 1, 2020·International Journal of Environmental Research and Public Health·Teerayut KongsinSirintip Boonjaraspinyo

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