Mixture Modeling: Applications in Educational Psychology.

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Bibliographic Details
Title: Mixture Modeling: Applications in Educational Psychology.
Authors: Harring, Jeffrey R. (AUTHOR), Hodis, Flaviu A. (AUTHOR)
Source: Educational Psychologist. Jul-Dec2016, Vol. 51 Issue 3/4, p354-367. 14p. 2 Diagrams, 5 Charts, 3 Graphs.
Subjects: Finite mixture models (Statistics), Educational psychology, Heterogeneity, Latent class analysis (Statistics), Motivation (Psychology), Cross-sectional method
Abstract: Model-based clustering methods, commonly referred to as finite mixture modeling, have been applied to a wide variety of cross-sectional and longitudinal data to account for heterogeneity in population characteristics. In this article, we elucidate 2 such approaches: growth mixture modeling and latent profile analysis. Both techniques are illustrated using motivation data from 2 studies. General strategies for fitting these classes of mixture models are discussed, as are extensions to other applications. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
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