Exploratory factor analysis: Difference between revisions

Revision as of 01:13, 26 April 2012

Revision as of 01:18, 26 April 2012

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===Kaiser criterion===

Compute the eigenvalues for the correlation matrix and determine how many of these eigenvalues are greater than 1. This number is the number of factors to include in the model. A disadvantage of this procedure is that it is quite arbitrary (e.g. an eigenvalue of 1.01 is included whereas an eigenvalue of .99 is not). This procedure often leads to overfactoring and sometimes underfactoring.{{cn|date=April 2012}} Therefore, this procedure should not be used.{{cn|date=April<ref 2012}}name=Fabrigar>

===Model comparison===