On using multiple imputation for exploratory factor analysis of incomplete data

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.

Publication year:2018

Keywords:missing data, multiple imputation, exploratory factor analysis, principal component analysis

BOF-keylabel:yes

IOF-keylabel:yes

BOF-publication weight:3

CSS-citation score:2

Authors from:Higher Education

Accessibility:Open