Some New Results on Factor Indeterminacy
PsychometrikaPublished 1 March 1972
Peter H. Schönemann, Mingmei Wang
Citations145
SJR quartileQ1
SJR score1.90
SNIP2.06
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Abstract
Some relations between maximum likelihood factor analysis and factor indeterminacy are discussed. Bounds are derived for the minimum average correlation between equivalent sets of correlated factors which depend on the latent roots of the factor intercorrelation matrix Ψ. Empirical examples are presented to illustrate some of the theory and indicate the extent to which it can be expected to be relevant in practice.
Keywords
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The first deduction is the matrix of cosines between maximally distinct factor axes which represent the same factor solution which is used to investigate the indeterminancy of factor extensions.
