An Introduction to Latent Variable Mixture Modeling (Part 2): Longitudinal Latent Class Growth Analysis and Growth Mixture Models | Zendy

Kristoffer S. Berlin | Zendy; Gilbert R. Parra | Zendy; Natalie A. Williams | Zendy

Open Access

An Introduction to Latent Variable Mixture Modeling (Part 2): Longitudinal Latent Class Growth Analysis and Growth Mixture Models

Author(s) -

Kristoffer S. Berlin,

Gilbert R. Parra,

Natalie A. Williams

Publication year - 2013

Publication title -

journal of pediatric psychology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.054

H-Index - 121

eISSN - 1465-735X

pISSN - 0146-8693

DOI - 10.1093/jpepsy/jst085

Subject(s) - latent class model , latent growth modeling , latent variable model , latent variable , mixture model , local independence , structural equation modeling , growth curve (statistics) , longitudinal data , econometrics , variable (mathematics) , psychology , longitudinal study , statistical model , statistics , computer science , developmental psychology , mathematics , data mining , mathematical analysis

Pediatric psychologists are often interested in finding patterns in heterogeneous longitudinal data. Latent variable mixture modeling is an emerging statistical approach that models such heterogeneity by classifying individuals into unobserved groupings (latent classes) with similar (more homogenous) patterns. The purpose of the second of a 2-article set is to offer a nontechnical introduction to longitudinal latent variable mixture modeling.

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