Update on the parallel analysis criterion for determining the number of principal components.
Recent developments in parallel analysis with unities in the diagonal are reviewed, and the application of the parallel analysis criterion is illustrated with three examples. It is shown that the results of various approaches do not always agree. Investigators are encouraged to employ the parallel analysis criterion, along with one or more other criteria, in deciding on the number of principal components.
Silverstein
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MRRC--Lanterman Developmental Center Research Group, UCLA School of Medicine.
D000704:Analysis of Variance; D001076:Aptitude; D006801:Humans; D012044:Regression Analysis; D013008:Somatotypes