Description
This model estimates six day-level latent classes of substance use consequences using a marginal modeling approach to account for the nested data structure. One one day-level covariate (daily positive affect) and person-level covariate (student is under legal drinking age) are included to predict consequence latent class membership.
Model Features
Model Category
Model Type
Indicator Type
Software Options
Measurement Invariance
Not Applicable
Approach to Outcomes
Not Applicable
Contributors
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