These models predict an outcome from latent class membership using the BCH approach, an adjusted three-step approach.
LCA: Adding outcomes using an adjusted 3-step approach (automated, BCH)
Description This code adds a binary and a continuous outcome to the 4-class baseline LCA model with all binary indicators from Exercise 1 in the linked page. The binary outcome is political beliefs (not conservative vs. conservative) and the continuous outcome is the number of evenings out per week (average 0-7). This code uses the automated 3-step BCH approach as we explore the association between latent class membership and each outcome. Software Downloads Mplus Exercises Exercise 1 This exercise asks you to fit a 4-class, latent-class model for marijuana use and attitudes using 7 binary indicators of the latent class...
LCA: Adding outcomes using an adjusted 3-step approach (manual, BCH)
Description This code adds a binary and a continuous outcome to the 4-class baseline LCA model with all binary indicators from Exercise 1 in the linked page. The binary outcome is political beliefs (not conservative vs. conservative) and the continuous outcome is the number of evenings out per week (average 0-7). This code uses the the manual 3-step BCH approach as we explore the association between latent class membership and each outcome. Software Downloads Mplus Exercises Exercise 1 This exercise asks you to fit a 4-class, latent-class model for marijuana use and attitudes using 7 binary indicators of the latent...
LCA: Latent class moderation
This code demonstrates how to use a latent class moderator to examine heterogeneity in intervention effects among adolescents receiving treatment for cannabis use. First, the code identifies latent classes of contextual and individual risk at baseline using LCA. Then, it uses an adjusted 3-step approach with BCH weights to regress the outcomes on level of care, latent class membership, the interaction between them, and covariates.
LPA: LPA with a grouping variable with measurement invariance across means and variances
Description This code fits a baseline, latent-profile model to identify and describe profiles of financial stress responses. It also imposes measurement invariance across the groups with means and variances equal. This code corresponds to the research paper titled “Financial stress response profiles and psychosocial functioning in low-income parents” published in Journal of Family Psychology in 2018. The paper can be found here: https://pubmed.ncbi.nlm.nih.gov/29878812/ Software Downloads Mplus Model Features Model Category Your Content Goes Here Model Type Your Content Goes Here Indicator Type Your Content Goes Here Software Options Your Content Goes Here Measurement Invariance Your Content Goes Here Approach to...