Structural Equations for Latent Curve Modeling

Mitina O.V.; Barabanschikov V.A.

Experimental Psychology (Russia) - №4 / 2020 | Перейти к описанию

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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: https://doi.org/10.17759/exppsy

License: CC BY-NC 4.0

Started in 2008

Published quarterly

Free of fees
Open Access Journal

RU In Russian

Experimental Psychology (Russia)
2008. Vol. 1, no. 1, 131–148
ISSN: 2072-7593 / 2311-7036 (online)

Structural Equations for Latent Curve Modeling ²⁴⁹⁹

Mitina O.V.
PhD in Psychology, Leading Research Associate, Department of Psychology, Lomonosov Moscow State University, Moscow, Russia
ORCID: https://orcid.org/0000-0002-2237-4404
e-mail: omitina@inbox.ru

Barabanschikov V.A.
Doctor of Psychology, Professor, Corresponding Member of Russian Academy of Education, Director, Institute of Experimental Psychology, Moscow State University of Psychology & Education, Moscow, Russia
ORCID: https://orcid.org/0000-0002-5084-0513
e-mail: vladimir.barabanschikov@gmail.com

PDF (ENG)

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

Mitina O.V., Barabanschikov V.A. Structural Equations for Latent Curve Modeling. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2008. Vol. 1, no. 1, pp. 131–148.

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