Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26552
Title: On using multiple imputation for exploratory factor analysis of incomplete data
Authors: NASSIRI, Vahid 
Lovik, Aniko
MOLENBERGHS, Geert 
VERBEKE, Geert 
Issue Date: 2018
Source: BEHAVIOR RESEARCH METHODS, 50(2), p. 501-517
Abstract: 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.
Notes: Nassiri, V (reprint author), Katholieke Univ Leuven, BioStat, B-3000 Leuven, Belgium, vahid.nassiri@kuleuven.be
Keywords: missing data; multiple imputation; exploratory factor analysis; principal component analysis
Document URI: http://hdl.handle.net/1942/26552
ISSN: 1554-351X
e-ISSN: 1554-3528
DOI: 10.3758/s13428-017-1013-4
ISI #: 000429033600004
Rights: © Psychonomic Society, Inc. 2018
Category: A1
Type: Journal Contribution
Validations: ecoom 2019
Appears in Collections:Research publications

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