A Study Of A Measure Of Sampling Adequacy For Factor-Analytic Correlation Matrices

Kaiser's Measure of Sampling Adequacy (MSA) for factor-analytic correlation matrices is studied for several levels each of p, the number of variables, q, the number of factors, and rfl, the root-mean-square off-diagonal correlation. The major influence for MSA is p, in agreement with theory; th...

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Bibliographic Details
Published in:Multivariate behavioral research 1977-01, Vol.12 (1), p.43-47
Main Authors: Cerny, Barbara A., Kaiser, Henry F.
Format: Article
Language:English
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Summary:Kaiser's Measure of Sampling Adequacy (MSA) for factor-analytic correlation matrices is studied for several levels each of p, the number of variables, q, the number of factors, and rfl, the root-mean-square off-diagonal correlation. The major influence for MSA is p, in agreement with theory; the joint main effect influences of p, q, and rfl to the total SSs remains greater than 84% under various choices of the levels of p, q, and rfl.
ISSN:0027-3171
1532-7906
DOI:10.1207/s15327906mbr1201_3