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On using multiple imputation for exploratory factor analysis of incomplete data

Tijdschriftbijdrage - Tijdschriftartikel

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.
Tijdschrift: Behavior research methods
ISSN: 1554-351X
Issue: 2
Volume: 50
Pagina's: 501 - 517
Jaar van publicatie:2018
Trefwoorden:missing data, multiple imputation, exploratory factor analysis, principal component analysis
BOF-keylabel:ja
IOF-keylabel:ja
BOF-publication weight:3
CSS-citation score:2
Authors from:Higher Education
Toegankelijkheid:Open