Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study
Authors
Karen Nylund‐Gibson, Tihomir Asparouhov, Bengt Muthén
Journal
Structural Equation Modeling A Multidisciplinary Journal
Year Published
2007
Publisher
Taylor & Francis
Citations
11294 citations
Type
Article
Language
EN
Topics & Concepts
Abstract
Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study - Full text available via OpenAlex
Data provided by OpenAlex - An open catalog of the world's scholarly papers, researchers, and institutions