Bayesian Structural Equation Modeling: A More Flexible Representation of Substantive Theory von Muthén, Bengt, Asparouhov, Tihomir

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Recent Methods for the Study of Measurement Invariance With Many Groups: Alignment and Random Effects von Muthén, Bengt, Asparouhov, Tihomir

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The Fixed Versus Random Effects Debate and How It Relates to Centering in Multilevel Modeling von Hamaker, Ellen L., Muthén, Bengt

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Latent Transition Analysis With Random Intercepts (RI-LTA) von Muthén, Bengt, Asparouhov, Tihomir

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Should substance use disorders be considered as categorical or dimensional? von Muthen, Bengt

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Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects von Muthén, Bengt, Asparouhov, Tihomir

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Growth mixture modeling with non-normal distributions von Muthén, Bengt, Asparouhov, Tihomir

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Cross-lagged panel modeling with binary and ordinal outcomes von Muthén, Bengt, Asparouhov, Tihomir, Witkiewitz, Katie

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IRT studies of many groups: the alignment method von Muthén, Bengt, Asparouhov, Tihomir

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Statistical and Substantive Checking in Growth Mixture Modeling: Comment on Bauer and Curran (2003) von MUTHEN, Bengt

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Bayesian Structural Equation Modeling With Cross-Loadings and Residual Covariances: Comments on Stromeyer et al von Asparouhov, Tihomir, Muthén, Bengt, Morin, Alexandre J. S.

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Why Measurement Invariance is Important in Comparative Research. A Response to Welzel et al. (2021) von Meuleman, Bart, Żółtak, Tomasz, Pokropek, Artur, Davidov, Eldad, Muthén, Bengt, Oberski, Daniel L., Billiet, Jaak, Schmidt, Peter

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Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance von van de Schoot, Rens, Kluytmans, Anouck, Tummers, Lars, Lugtig, Peter, Hox, Joop, Muthén, Bengt

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Investigating Population Heterogeneity With Factor Mixture Models von Lubke, Gitta H, Muthén, Bengt

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Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes von Muthén, Bengt, Muthén, Linda K.

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The Multilevel Latent Covariate Model: A New, More Reliable Approach to Group-Level Effects in Contextual Studies von Lüdtke, Oliver, Marsh, Herbert W, Robitzsch, Alexander, Trautwein, Ulrich, Asparouhov, Tihomir, Muthén, Bengt

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The potential of growth mixture modelling von Muthen, Bengt

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Analyzing Criminal Trajectory Profiles: Bridging Multilevel and Group-based Approaches Using Growth Mixture Modeling von Kreuter, Frauke, Muthén, Bengt

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Multilevel regression mixture analysis von Muthén, Bengt, Asparouhov, Tihomir

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Estimating drug effects in the presence of placebo response: Causal inference using growth mixture modeling von Muthén, Bengt, Brown, Hendricks C.

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