A Comparison of Three-Step Approaches for Auxiliary Variables in Latent Class and Latent Profile Analysis

By Zachary K. Collier, Walter L. Leite. 2017

78 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d765a581fc8e64c3e6ea5c2401886ab807b9f04b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. David Litalien
2. Alexandre J. S. Morin

In Statistics and Probability

1. David Litalien
2. Alexandre J. S. Morin

Citations in the corpus

• Mixture Modeling for Lifespan Developmental Research (2019, background): “…approach shows that they all tend to perform well, although they all present limitations in specific conditions (Asparouhov & Muthén, 2014; Bakk, Oberski, & Vermunt, 2016; Bakk & Vermunt, 2016; Bakk et al., 2013; Collier & Leite, 2017; Lanza et al., 2013; McLarnon & O’Neill, 2018; Vermunt, 2010).”