An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses.
By K. Berlin, Natalie A. Williams, Gilbert R. Parra. Journal of Pediatric Psychology, 2014
916 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c625f5d7a4b4da0290cc5cb5633781377558f319
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In Artificial Intelligence
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Citations in the corpus
- Latent profile analysis: A review and “how to” guide of its application within vocational behavior research (2020, methodology): “Content decisions One aspect that should be considered is how well an additional profile can be discriminated from another that has already been retained (Berlin et al., 2014; Vermunt & Magidson, 2002).”
- Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls. (2020, methodology): “Multiple random starts should be used to demonstrate sufficient replication of the maximum likelihood (57).”