Testing the number of required dimensions in exploratory factor analysis
While maximum likelihood exploratory factor analysis (EFA) provides a statistical test that $k$ dimensions are sufficient to account for the observed correlations among a set of variables, determining the required number of factors in least-squares based EFA has essentially relied on heuristic proce...
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| Format: | Article |
| Language: | English |
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Université d'Ottawa
2017-01-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
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| Online Access: | http://www.tqmp.org/RegularArticles/vol13-1/p064/p064.pdf |