Latent Class Analysis and Regression for Mental Health Research
2.0
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Addresses latent class analysis, a latent variable method often used in Mental Health research to identify latent groups of individuals based on patterns of categorical observed variables. Use of additional variables to predict latent class membership will also be explored. Includes discussion of examples from the mental health literature as well as hands-on model-fitting using MPLUS. Latent class analysis is a method of modeling categorical latent variables, such as psychiatric diagnoses, as a function of a set of categorical observed variables.
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