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Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the… Expand
Exploratory Structural Equation Modeling
Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by… Expand
Assessing Reliability and Stability in Panel Models
Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
- B. Muthén
This chapter gives an overview of recent advances in latent variable analysis. Emphasis is placed on the strength of modeling obtained by using a flexible combination of continuous and categorical… Expand
Multilevel Covariance Structure Analysis
- B. Muthén
- 1 February 1994
This article gives an introduction to some new techniques for multilevel covariance structure modeling with latent variables. Although these techniques only incorporate a subset of models that are… Expand
Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance.
Addresses issues related to partial measurement in variance using a tutorial approach based on the LISREL confirmatory factor analytic model. Specifically, we demonstrate procedures for (a) using… Expand
Complex Sample Data in Structural Equation Modeling
Large-scale surveys using complex sample designs are frequently carried out by government agencies. The statistical analysis technology available for such data is, however, limited in scope. This… Expand
Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes.
- B. Muthén, L. K. Muthén
- Psychology, Medicine
- Alcoholism, clinical and experimental research
- 1 June 2000
BACKGROUND Many alcohol research questions require methods that take a person-centered approach because the interest is in finding heterogeneous groups of individuals, such as those who are… Expand
Bayesian structural equation modeling: a more flexible representation of substantive theory.
This article proposes a new approach to factor analysis and structural equation modeling using Bayesian analysis. The new approach replaces parameter specifications of exact zeros with approximate… Expand
Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus
This article discusses alternatives to single-step mixture modeling. A 3-step method for latent class predictor variables is studied in several different settings, including latent class analysis,… Expand