Mplus syntax for double cross-validation using latent class analysis (LCA) and comparing outcomes across classes
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Mplus syntax for double cross-validation using latent class analysis (LCA) and comparing outcomes across classes
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2018
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Statistical Computing Software Code
Abstract
Mplus syntax for double cross-validation using latent class analysis (LCA) and comparing outcomes across classes. This includes exploratory LCA to identify a best fitting model, cross-validating the model in separate halves of the study sample, and comparing outcomes (i.e., mental health, physical health, alcohol consequences, and GPA) across latent classes using a bias-adjusted, three-step analysis for comparing outcomes across latent classes.
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A PDF containing Mplus syntax with notes.
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Merians, Addie N; Baker, Majel R; Frazier, Patricia A; Lust, Katherine. (2018). Mplus syntax for double cross-validation using latent class analysis (LCA) and comparing outcomes across classes. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/198643.
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