Handbook of Multivariate Experimental Psychology
Part of the series Perspectives on Individual Differences pp 561614
Dynamic but Structural Equation Modeling of Repeated Measures Data
 J. J. McArdleAffiliated withDepartment of Psychology, University of Virginia
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.
 Title
 Dynamic but Structural Equation Modeling of Repeated Measures Data
 Book Title
 Handbook of Multivariate Experimental Psychology
 Book Part
 Part II
 Pages
 pp 561614
 Copyright
 1988
 DOI
 10.1007/9781461308935_17
 Print ISBN
 9781461282327
 Online ISBN
 9781461308935
 Series Title
 Perspectives on Individual Differences
 Publisher
 Springer US
 Copyright Holder
 SpringerVerlag US
 Additional Links
 Topics
 Industry Sectors
 eBook Packages
 Editors

 John R. Nesselroade ^{(3)}
 Raymond B. Cattell ^{(4)}
 Editor Affiliations

 3. Pennsylvania State University
 4. University of Hawaii at Manoa
 Authors

 J. J. McArdle ^{(5)}
 Author Affiliations

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