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. 2016 Mar;10(1):59-64.
doi: 10.1111/cdep.12163. Epub 2016 Jan 27.

Latent Class Analysis for Developmental Research

Stephanie T Lanza  1
Affiliations

Latent Class Analysis for Developmental Research

Stephanie T Lanza. Child Dev Perspect. 2016 Mar.

Abstract

In this article, we consider the broad applicability of latent class analysis (LCA) and related approaches to advance research on child development. First, we describe the role of person-centered methods such as LCA in developmental research, and review prior applications of LCA to the study of development and related areas of research. Then we present practical considerations when applying LCA in developmental research, including model selection and statistical power. Finally, we introduce several recent methodological innovations in LCA, including causal inference in LCA, predicting a distal outcome from latent class membership, and latent class moderation (in which LCA quantifies multidimensional moderators of effects in observational and experimental studies), and we discuss their potential to advance developmental science. We conclude with suggestions for ongoing developmental research using LCA.

Keywords: latent class analysis; latent class moderation; latent risk classes.

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Figures

Figure 1.
Figure 1.. Finite mixture modeling:
Common models used in developmental research.
See this image and copyright information in PMC

References

    1. Bergman LR, & Magnusson D (1997). A person-oriented approach in research on developmental psychopathology. Development and Psychopathology, 9, 291–319. doi: 10.1017/S095457949700206X - DOI - PubMed
    1. Von Eye A, & Bergman LR (2003). Research strategies in developmental psychopathology: Dimensional identity and the person-oriented approach. Development and Psychopathology, 15, 553–580. doi: 10.1017/S0954579403000294 - DOI - PubMed
    1. McLachlan G, & Peel D (2000). Finite mixture models. New York, NY: Wiley.
    1. Gibson WA (1959). Three multivariate models: Factor analysis, latent structure analysis and latent profile analysis. Psychometrika, 24, 229–252. doi:10.1007/BF02289845 - DOI
    1. Lewin K (1935). A dynamic theory of personality. New York, NY: McGraw-Hill.