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Factor analysis is a dimensionality reduction latent variable technique which replaces inter-correlating variables with a smaller number of continuous latent variables called factors. The factors are believed to be responsible for the inter-correlations. [For confirmatory factor analysis, please use the tag 'confirmatory-factor'. Also, the term "factor" of factor analysis should not be confused with "factor" as categorical predictor of a regression/ANOVA.]

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EFA: Can I remove/drop variables with non significant loadings and re-run the EFA?

I am employing EFA to 56 items. However, there were cross-loadings occurred and, therefore decision to drop the items is made. The question: The rotated components matrix showed there were a few items …
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Outliers and Linearity for EFA

I am having 56 likert scaled items for IV and 28 likert scaled items for dv. As to fulfill the assumption for EFA, outliers and linearity need to be checked. Can anyone tells me what method/analysis i …
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