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Experimental Psychology (Russia)

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2072-7593

ISSN (online): 2311-7036

DOI: http://dx.doi.org/10.17759/exppsy

License: CC BY-NC 4.0

Started in 2008

Published quarterly

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Open Access Journal

 

Structural Equations for Latent Curve Modeling 1937

Mitina O.V., PhD in Psychology, Leading scientific fellow of Department of psychology, Lomonosov Moscow State University, Moscow, Russia, omitina@inbox.ru
Barabanschikov V.A., Doctor of Psychology, Director of the Institute of Experimental Psychology, Moscow State University of Psychology and Education , Moscow, Russia, vladimir.barabanschikov@gmail.com
Abstract
Latent curve modeling is one of the Structural Equation Modeling methods that allow analyzing temporal processes when temporal sections are available in small number. The use of these models is quite important in social and psychological research. They make possible description of dynamical development process of the only characteristic or several ones in a complex, as well as changes determination, by some characteristics which are invariant in the process. The first part of the article deals with different cases and types of models. In the second part these models are used to analyze social)psychological longitudinal study data of adolescence and youth drug use conducted in Los Angeles.

Keywords: structural modeling, latent changes, longitude research

Column: Modeling Methods

For Reference

References
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  5. Duncan T., Duncan S., Strycker L., Li F., Alpert A. An Introduction to Latent Variable Growth Curve Modeling. London, 1999.
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