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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
Citation: 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
URI: http://hdl.handle.net/1942/26552
DOI: 10.3758/s13428-017-1013-4
ISI #: 000429033600004
ISSN: 1554-351X
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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