Remember that in addition to the output shown in the window we requested a scree plot which will be held in the chart carousel. To access the carousel, either click on the chart symbol in the output windows menu-bar, or click on the chart carousel icon. Assessing factorability . The data set is factorable if the correlation matrix contains some correlations between variables greater than .30. The KMO approaches 1 for matrices with high degree of off diagonal correlation.
Factor analysis is unlikely to be worthwhile.
Kaiser's criterion . Kaiser's criterion asserts that it is only worthwhile to extract factors which account fro more variance than a single perfect variable. That being so factors are extracted until their eigenvalues fall below 1. Cattell's scree test. The scree test is slightly more conservative than Kaiser's criterion.