Psychometrika · 1999 · 404 citations · 8 references
The relationship between the higher-order factor model and the hierarchical factor model is explored formally. We show that the Schmid-Leiman transformation produces constrained hierarchical factor solutions. Using a generalized Schmid-Leiman transformation and its inverse, we show that for any unconstrained hierarchical factor model there is an equivalent higher-order factor model with direct effects (loadings) on the manifest variables from the higher-order factors. Therefore, the class of higher-order factor models (without direct effects of higher-order factors) is nested within the class of unconstrained hierarchical factor models. In light of these formal results, we discuss some implications for testing the higher-order factor model and the issue of general factor. An interesting aspect concerning the efficient fitting of the higher-order factor model with direct effects is noted.
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The Development of Hierarchical Factor Solutions
John Schmid, John M. Leiman · Psychometrika · 1957 · 1.1K citations
Karl J. Holzinger, Frances Swineford · Psychometrika · 1937 · 749 citations
Hierarchical Factor Solutions without Rotation
Robert J. Wherry · Psychometrika · 1959 · 164 citations