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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 theExpand
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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 byExpand
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Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
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 categoricalExpand
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Multilevel Covariance Structure Analysis
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 areExpand
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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) usingExpand
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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. ThisExpand
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Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes.
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 areExpand
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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 approximateExpand
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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
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