Number of Factors Retained After extraction the researcher must decide how many factors to retain for rotation. Both overextraction and underextraction of factors retained for rotation can have deleterious effects on the results. The default in most statistical software packages is to retain all factors with eigenvalues greater than 1.0.There is broad consensus in the literature that this is among the least accurate methods for selecting the number of factors to retain (Velicer & Jackson, 1990). In monte carlo analyses we performed to test this assertion, 36% of our samples retained too many factors using this criterion. Alternate tests for factor retention include the scree test, Velicer’s MAP criteria, and parallel analysis (Velicer & Jackson, 1990).