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Exploratory Longitudinal Factor Analysis in Multiple Populations

Published online by Cambridge University Press:  01 January 2025

John Tisak  and
William Meredith
John Tisak*
Affiliation:
Bowling Green State University
William Meredith
Affiliation:
University of California, Berkeley
*
Requests for reprints should be sent to John Tisak, Department of Psychology, Bowling Green State University, Bowling Green, Ohio 43403-0228.
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Abstract

For multiple populatios, a longtidinal factor analytic model which is entirely exploratory, that is, no explicit identification constraints, is proposed. Factorial collapse and period/practice effects are allowed. An invariant and/or stationary factor pattern is permitted. This model is formulated stochastically. To implement this model a stagewise EM algorithm is developed. Finally a numerical illustration utilizing Nesselroade and Baltes' data is presented.

Keywords

longitudinal factor analysisEM algorithmmaximum likelihood extimation
Type
Original Paper
Information
Psychometrika , Volume 54 , Issue 2 , June 1989 , pp. 261 - 281
Copyright
Copyright © 1989 The Psychometric Society

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Footnotes

The authors wish to thank Barbara Mellers and Henry Kaiser for their helpful comments and John Nesselroade for providing us the data for our illustration. This research was supported in part by a grant (No. AG03164) from the National Institute on Aging to William Meredith. Details of the derivations and a copy of the PROC MATRIX program are available upon request from the first author.

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