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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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| nassiri 1.pdf Restricted Access | Published version | 974.05 kB | Adobe PDF | View/Open Request a copy |
| 526preprint.pdf | Peer-reviewed author version | 649.52 kB | Adobe PDF | View/Open |
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