How to perform three-step latent class analysis in the presence of measurement non-invariance or differential item functioning
JK Vermunt, J Magidson - Structural Equation Modeling: A …, 2021 - Taylor & Francis
The practice of latent class (LC) modeling using a bias-adjusted three-step approach has
become widely popular. However, the current three-step approach has one important …
become widely popular. However, the current three-step approach has one important …
[PDF][PDF] Latent GOLD 4.0 user's guide
JK Vermunt, J Magidson - 2005 - research.tilburguniversity.edu
Since 1995, more significant books have been published on latent class (LC) and finite
mixture models than any other class of statistical models. The recent increase in interest in …
mixture models than any other class of statistical models. The recent increase in interest in …
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
Binary data latent class analysis is a form of model-based clustering applied in a wide range
of fields. A central assumption of this model is that of conditional independence of responses …
of fields. A central assumption of this model is that of conditional independence of responses …
[PDF][PDF] LTA in Mplus: Transition probabilities influenced by covariates
B Muthén, T Asparouhov - Mplus Web Notes, 2011 - statmodel.com
This note describes how to specify and interpret a latent transition analysis where the
transition probabilities vary as a function of covariates. The Mplus parameterization is given …
transition probabilities vary as a function of covariates. The Mplus parameterization is given …