Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26552
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dc.contributor.authorNASSIRI, Vahid-
dc.contributor.authorLovik, Aniko-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorVERBEKE, Geert-
dc.date.accessioned2018-08-02T12:56:33Z-
dc.date.available2018-08-02T12:56:33Z-
dc.date.issued2018-
dc.identifier.citationBEHAVIOR RESEARCH METHODS, 50(2), p. 501-517-
dc.identifier.issn1554-351X-
dc.identifier.urihttp://hdl.handle.net/1942/26552-
dc.description.abstractA 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.-
dc.description.sponsorshipFinancial support from the IAP research network # P7/06 of the Belgian Government (Belgian Science Policy) is gratefully acknowledged. The research leading to these results has also received funding from the European Seventh Framework programme FP7 2007 - 2013 under grant agreement Nr. 602552. We gratefully acknowledge support from the IWT-SBO ExaScience grant. We are grateful for suggestions made by anonymous referees, which have greatly helped to improve this manuscript.-
dc.language.isoen-
dc.rights© Psychonomic Society, Inc. 2018-
dc.subject.othermissing data; multiple imputation; exploratory factor analysis; principal component analysis-
dc.titleOn using multiple imputation for exploratory factor analysis of incomplete data-
dc.typeJournal Contribution-
dc.identifier.epage517-
dc.identifier.issue2-
dc.identifier.spage501-
dc.identifier.volume50-
local.bibliographicCitation.jcatA1-
dc.description.notesNassiri, V (reprint author), Katholieke Univ Leuven, BioStat, B-3000 Leuven, Belgium, vahid.nassiri@kuleuven.be-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.3758/s13428-017-1013-4-
dc.identifier.isi000429033600004-
item.validationecoom 2019-
item.contributorNASSIRI, Vahid-
item.contributorLovik, Aniko-
item.contributorMOLENBERGHS, Geert-
item.contributorVERBEKE, Geert-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationNASSIRI, Vahid; Lovik, Aniko; MOLENBERGHS, Geert & VERBEKE, Geert (2018) On using multiple imputation for exploratory factor analysis of incomplete data. In: BEHAVIOR RESEARCH METHODS, 50(2), p. 501-517.-
crisitem.journal.issn1554-351X-
crisitem.journal.eissn1554-3528-
Appears in Collections:Research publications
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