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Note on the “Longitudinal Factor Analysis” Model

Published online by Cambridge University Press:  01 January 2025

John R. Nesselroade
John R. Nesselroade*
Affiliation:
West Virginia University
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Abstract

The “longitudinal factor analysis” model, which uniquely resolves factors from two occasions of data representing the same persons measured on the same test battery, is shown to be derivable by application of canonical correlation procedures to factor scores. Interpreted in this light, it is suggested that, in attaining its objective, “longitudinal factor analysis” maximizes temporal stability of factor scores—an emphasis which may be warranted for some types of change but not for others.

Information

Type
Original Paper
Information
Psychometrika , Volume 37 , Issue 2 , June 1972 , pp. 187 - 191
Copyright
Copyright © 1972 The Psychometric Society

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Footnotes

*

Preparation of this manuscript was supported in part by U. S. Office of Education Grant OEG-O-9-580289-4415(010). Grateful acknowledgement is made to an anonymous consulting editor for constructive suggestions.

References

Corballis, M. C., & Traub, R. E. Longitudinal factor analysis. Psychometrika, 1970, 35, 79–98CrossRefGoogle Scholar
Harris, C. W. Canonical factor models for the description of change. In Harris, C. W. (Eds.), Problems in measuring change, 1963, Madison: University of Wisconsin PressGoogle Scholar
Horst, P. Factor analysis of data matrices, 1965, New York: Holt, Rinehart, & WinstonGoogle Scholar
Horst, P. Generalized canonical correlations and their applications to experimental data. Journal of Clinical Psychology, 1961, 14, 331–3473.0.CO;2-D>CrossRefGoogle Scholar
McKeon, J. J. Canonical analysis: Some relations between canonical correlation, factor analysis, discriminant function analysis, and scaling theory. Psychometric Monographs, No. 13, 1964.Google Scholar
Morrison, D. F. Multivariate statistical methods, 1967, New York: McGraw-HillGoogle Scholar
Pinneau, S. R., & Newhouse, A. Measures of invariance and comparability in factor analysis for fixed variables. Psychometrika, 1964, 29, 271–281CrossRefGoogle Scholar