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Handbook of Multivariate Experimental Psychology pp 561–614Cite as

Dynamic but Structural Equation Modeling of Repeated Measures Data

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Part of the book series: Perspectives on Individual Differences ((PIDF))

Abstract

The term “dynamic” is broadly defined as a pattern of change. Many scientists have searched for dynamics by calculating df/dt: the ratio of changes or differences d in a function f relative to changes in time t.This simple dynamic equation was used in the 16th and 17th century motion experiments of Galileo, in the 17th and 18th century gravitation experiments of Newton, and in the 19th century experiments of many physicists and chemists (see Morris, 1985). I also use this dynamic equation, but here I examine multivariate psychological change data using the 20th century developments of latent variable structural equation modeling.

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  1. Department of Psychology, University of Virginia, Charlottesville, Virginia, 22903, USA

    J. J. McArdle

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  1. Pennsylvania State University, University Park, Pennsylvania, USA

    John R. Nesselroade

  2. University of Hawaii at Manoa, 96844, Honolulu, Hawaii, USA

    Raymond B. Cattell

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McArdle, J.J. (1988). Dynamic but Structural Equation Modeling of Repeated Measures Data. In: Nesselroade, J.R., Cattell, R.B. (eds) Handbook of Multivariate Experimental Psychology. Perspectives on Individual Differences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0893-5_17

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