Incorporating Machine Learning Into Factor Mixture Modeling: Identification of Covariate Interactions to Explain Population Heterogeneity
Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression to help understand the formation and character...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
PsychOpen GOLD/ Leibniz Institute for Psychology
2023-09-01
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| Series: | Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.5964/meth.9487 |