/lp/taylor-francis/first-order-or-higher-order-general-factor-FxexG8az5r
References (5)
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D. Rindskopf, T. Rose (1988)
Some Theory and Applications of Confirmatory Second-Order Factor Analysis.Multivariate behavioral research, 23 1
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A. Satorra, W. Saris (1985)
Power of the likelihood ratio test in covariance structure analysisPsychometrika, 50
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M. Abramowitz, I. Stegun, David Miller (1965)
Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55)Journal of Applied Mechanics, 32
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J. Gustafsson, G. Balke (1993)
General and Specific Abilities as Predictors of School Achievement.Multivariate behavioral research, 28 4
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John Schmid, J. Leiman (1957)
The development of hierarchical factor solutionsPsychometrika, 22
- Publisher
- Taylor & Francis
- Copyright
- Copyright Taylor & Francis Group, LLC
- ISSN
- 1532-8007
- eISSN
- 1070-5511
- DOI
- 10.1080/10705519709540071
- Publisher site
- See Article on Publisher Site
Abstract
The Schmid‐Leiman decomposition of a hierarchical factor model converts the model to a constrained case of a bifactor model with orthogonal common factors that is equivalent to the hierarchical model. This article discusses the equivalence and near‐equivalence of the hierarchical and bifactor models and the implications of the difficulty of distinguishing between these models because of low power in samples commonly found in academic research.
Journal
Structural Equation Modeling: A Multidisciplinary Journal – Taylor & Francis
Published: Jan 1, 1997