On using multiple imputation for exploratory factor analysis of incomplete data

Abstract

© 2018 Psychonomic Society, Inc. A simple multiple imputation-based method is proposed to deal with missing data in exploratory factor analysis. Confidence intervals are obtained for the proportion of explained variance. Simulations and real data analysis are used to investigate and illustrate the use and performance of our proposal.