Revision as of 02:56, 26 April 2012 edit Lododo (talk \| contribs) 144 edits →Model comparison ← Previous edit		Revision as of 02:57, 26 April 2012 edit undo Lododo (talk \| contribs) 144 edits →Selecting the appropriate number of factors Next edit →
Line 24: There are a number of procedures in order to determine the best number of factors, including scree plot, parallel analysis, kaiser criterion, and model comparison. The first three measures rely on eigenvalues. The ''eigenvalue'' of a factor represents the amount of variance of the variables accounted for by that factor. The lower the eigenvalue, the less that factor contributes to the explanation of variances in the variables.<ref name =Norris/>) ===Scree plot===

Exploratory factor analysis: Difference between revisions