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Latent Profile Analysis

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Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research

Abstract

The MDS is discussed as a profile analysis approach of re-parameterizing the linear latent variable model in such a way that the latent variables can be interpreted in terms of profile patterns rather than factors. It is used to identify major patterns among psychological variables and can serve as the basis for further study of correlates and/or predictors of profiles and other background and external variables. I outline the procedure of MDS profile analysis and discuss the issues that are related to parameter estimation and interpretation of the results.

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Author information

Authors and Affiliations

  1. Department of Education Science and Professional Program, University of Missouri-St. Louis, St. Louis, MO, USA

    Cody S. Ding

  2. Center for Neurodynamics, University of Missouri-St. Louis, St. Louis, MO, USA

    Cody S. Ding

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  1. Cody S. Ding
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Ding, C.S. (2018). Latent Profile Analysis. In: Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research. Springer, Cham. https://doi.org/10.1007/978-3-319-78172-3_10

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