Analysis of Factor Variance: Two Cases

Abstract
The analysis of factor variance is a multivariate approach particularly applicable in those instances when the number of variables is large, when the reliabilities of some measures are questionable, when no reasonable a priori combinations of measures exist, and when a search for structure among the measures is a partial objective of the study. The methods of analysis of factor variance, however, allow for a number of important options. Two of these options or cases were investigated in this study. The first required that the “matrix to be factored” be centered around the grand means for the total data while the second required that the “matrix to be factored” be centered around individual group means. The results showed that the choice of method is crucial to the interpretation of results.

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