An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses.

@article{Berlin2014AnIT,
  title={An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses.},
  author={Kristoffer S Berlin and Natalie A. Williams and Gilbert R. Parra},
  journal={Journal of pediatric psychology},
  year={2014},
  volume={39 2},
  pages={174-87}
}
OBJECTIVE Pediatric psychologists are often interested in finding patterns in heterogeneous cross-sectional data. Latent variable mixture modeling is an emerging person-centered statistical approach that models heterogeneity by classifying individuals into unobserved groupings (latent classes) with similar (more homogenous) patterns. The purpose of this article is to offer a nontechnical introduction to cross-sectional mixture modeling. METHOD An overview of latent variable mixture modeling… CONTINUE READING

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