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Original Articles

Evaluation of Structural Equation Mixture Models: Parameter Estimates and Correct Class Assignment

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Pages 165-192 | Published online: 19 Apr 2010

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Read on this site (22)

Dakota W. Cintron, Eric Loken & D. Betsy McCoach. (2023) A Cautionary Note about Having the Right Mixture Model but Classifying the Wrong People. Multivariate Behavioral Research 58:4, pages 675-686.
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Sarah Depaoli. (2022) The Specification and Impact of Prior Distributions for Categorical Latent Variable Models. Structural Equation Modeling: A Multidisciplinary Journal 29:3, pages 350-367.
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Eunsook Kim, Diep Nguyen, Siyu Liu & Yan Wang. (2022) Mixed Effects of Item Parceling on Performance of Factor Mixture Modeling. Structural Equation Modeling: A Multidisciplinary Journal 29:2, pages 207-217.
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Sooyong Lee & Tiffany A. Whittaker. (2022) Comparison of Three Approaches to Class Enumeration in Growth Mixture Modeling when Time Structures are Variant Across Latent Classes. Structural Equation Modeling: A Multidisciplinary Journal 29:1, pages 23-35.
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Shaobo Jin, Maengseok Noh, Fan Yang-Wallentin & Youngjo Lee. (2021) Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables. Structural Equation Modeling: A Multidisciplinary Journal 28:4, pages 547-556.
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Sarah Depaoli, Sonja D. Winter, Keke Lai & Kiero Guerra-Peña. (2019) Implementing continuous non-normal skewed distributions in latent growth mixture modeling: An assessment of specification errors and class enumeration. Multivariate Behavioral Research 54:6, pages 795-821.
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Kathryn S. Macia & Robert E. Wickham. (2019) The Impact of Item Misspecification and Dichotomization on Class and Parameter Recovery in LCA of Count Data. Multivariate Behavioral Research 54:1, pages 113-145.
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Veronica T. Cole, Daniel J. Bauer, Andrea M. Hussong & Michael L. Giordano. (2017) An Empirical Assessment of the Sensitivity of Mixture Models to Changes in Measurement. Structural Equation Modeling: A Multidisciplinary Journal 24:2, pages 159-179.
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Sarah Depaoli, Yuzhu Yang & John Felt. (2017) Using Bayesian Statistics to Model Uncertainty in Mixture Models: A Sensitivity Analysis of Priors. Structural Equation Modeling: A Multidisciplinary Journal 24:2, pages 198-215.
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Eun Sook Kim, Seang-Hwane Joo, Philseok Lee, Yan Wang & Stephen Stark. (2016) Measurement Invariance Testing Across Between-Level Latent Classes Using Multilevel Factor Mixture Modeling. Structural Equation Modeling: A Multidisciplinary Journal 23:6, pages 870-887.
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Veronica T. Cole & Daniel J. Bauer. (2016) A Note on the Use of Mixture Models for Individual Prediction. Structural Equation Modeling: A Multidisciplinary Journal 23:4, pages 615-631.
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Steffen Nestler. (2015) A Specification Error Test That Uses Instrumental Variables to Detect Latent Quadratic and Latent Interaction Effects. Structural Equation Modeling: A Multidisciplinary Journal 22:4, pages 542-551.
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Sarah Depaoli. (2014) The Impact of Inaccurate “Informative” Priors for Growth Parameters in Bayesian Growth Mixture Modeling. Structural Equation Modeling: A Multidisciplinary Journal 21:2, pages 239-252.
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Sy-Miin Chow, KevinJ. Grimm, Guillaume Filteau, ConorV. Dolan & JohnJ. McArdle. (2013) Regime-Switching Bivariate Dual Change Score Model. Multivariate Behavioral Research 48:4, pages 463-502.
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Sarah Depaoli. (2012) The Ability for Posterior Predictive Checking to Identify Model Misspecification in Bayesian Growth Mixture Modeling. Structural Equation Modeling: A Multidisciplinary Journal 19:4, pages 534-560.
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Sarah Depaoli. (2012) Measurement and Structural Model Class Separation in Mixture CFA: ML/EM Versus MCMC. Structural Equation Modeling: A Multidisciplinary Journal 19:2, pages 178-203.
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Roberta Varriale & JeroenK. Vermunt. (2012) Multilevel Mixture Factor Models. Multivariate Behavioral Research 47:2, pages 247-275.
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Gitta Lubke & Stephen Tueller. (2010) Latent Class Detection and Class Assignment: A Comparison of the MAXEIG Taxometric Procedure and Factor Mixture Modeling Approaches. Structural Equation Modeling: A Multidisciplinary Journal 17:4, pages 605-628.
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