| Literature DB >> 29392587 |
Vahid Nassiri1, Anikó Lovik2, Geert Molenberghs2,3, Geert Verbeke2,3.
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.Keywords: Exploratory factor analysis; Missing data; Multiple imputation; Principal component analysis
Mesh:
Year: 2018 PMID: 29392587 DOI: 10.3758/s13428-017-1013-4
Source DB: PubMed Journal: Behav Res Methods ISSN: 1554-351X