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

Structural Equations for Latent Curve Modeling

 
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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.

General Information

Keywords: structural modeling, latent changes, longitude research

Journal rubric: Research Methods

Article type: scientific article

Published

For citation: Mitina, O.V., Barabanschikov, V.A. (2008). Structural Equations for Latent Curve Modeling. Experimental Psychology (Russia), 1(1), 131–148. (In Russ.). URL: https://psyjournals.ru/en/journals/exppsy/archive/2008_n1/Mitina (viewed: 05.12.2025)

© Mitina O.V., Barabanschikov V.A., 2008

License: CC BY-NC 4.0

References

  1. Gusev A. N. Dispersionnyj analiz v jeksperimental'noj psihologii. (Analysis of variance in experimental psychology) M.: UMK "Psihologija", 2000.
  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.

Information About the Authors

Olga V. Mitina, Candidate of Science (Psychology), Leading Researcher of the Laboratory of Communication Psychology, Faculty of Psychology, Lomonosov Moscow State University, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-2237-4404, e-mail: omitina@inbox.ru

Vladimir A. Barabanschikov, Doctor of Psychology, Professor, Director, Institute of Experimental Psychology, Moscow State University of Psychology and Education, Professor, Moscow Institute of Psychoanalysis, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-5084-0513, e-mail: vladimir.barabanschikov@gmail.com

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