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Alternative Approaches to Factorial Invariance

Published online by Cambridge University Press:  01 January 2025

Bruce Bloxom*
Affiliation:
Vanderbilt University

Abstract

Special cases of the factor analysis model are developed for four selection situations. Methods are suggested whereby parameters in each case can be estimated using a maximum likelihood procedure recently developed by Jöreskog. Also, a numerical illustration is presented for each case.

Type
Original Paper
Copyright
Copyright © 1972 The Psychometric Society

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Footnotes

*

This research was supported by a grant from the University Research Council, Vanderbilt University.

References

Holzinger, K., & Swineford, F. A study in factor analysis: The stability of a bi-factor solution, 1939, Chicago: University of Chicago PressGoogle Scholar
Jöreskog, K. G. A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 1969, 34, 183202CrossRefGoogle Scholar
Jöreskog, K. G. Simultaneous factor analysis in several populations, 1970, Princeton, New Jersey: Educational Testing ServiceCrossRefGoogle Scholar
Lawley, D. N. A note on Karl Pearson's selection formulae. Proceedings of the Royal Society of Edinburgh, 1943, 62, 2830Google Scholar
Meredith, W. Notes on factorial invariance. Psychometrika, 1964, 29, 177185CrossRefGoogle Scholar
Meredith, W. Rotation to achieve factorial invariance. Psychometrika, 1964, 29, 187206CrossRefGoogle Scholar
van Thillo, Marielle, & Jöreskog, K. G. SIFASP: A general computer program for simultaneous factor analysis in several populations, 1970, Princeton, New Jersey: Educational Testing ServiceGoogle Scholar