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Experimental Psychology (Russia) - №3 / 2021 | 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

Published since 2008

Published quarterly

Free of fees
Open Access Journal

 

Structural Equations for Latent Curve Modeling 2624

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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, 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

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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  2. Mitina O. V. Strukturnoe modelirovanie: sostojanie i perspektivy (Structure modelling: state of the art and prospects) // Uchenye zapiski kafedry obschej psihologii fakul'teta psihologii MGU. (Proceedings of Chair of General Psychology, Department of Psychology, MSU) M.: Smysl, 2005.
  3. Tiurin Yu. N., Makarov A. A. Analiz dannyh na komp'jutere. (Data analysis using computer) M.: Infra, 1997.
  4. Bentler P. M. EQS, Structural Equations, Program Manual. CA, Encino: Multivariate Software, Inc. 1995.
  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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