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Eunsook Kim & Nathaniel von der Embse. (2023) Brief Report: Polynomial Regression Mixture Modeling for Heterogeneous Effects of Informant Congruence. The Journal of Experimental Education 0:0, pages 1-11.
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Leonie V.D.E. Vogelsmeier, Jeroen K. Vermunt, Anne Bülow & Kim De Roover. (2023) Evaluating Covariate Effects on ESM Measurement Model Changes with Latent Markov Factor Analysis: A Three-Step Approach. Multivariate Behavioral Research 58:2, pages 262-291.
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Zihang Lu & Wendy Lou. (2023) Bayesian approaches to variable selection in mixture models with application to disease clustering. Journal of Applied Statistics 50:2, pages 387-407.
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Roberto Di Mari, Francesco Dotto, Alessio Farcomeni & Antonio Punzo. (2022) Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models. Structural Equation Modeling: A Multidisciplinary Journal 29:3, pages 381-393.
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Phillip Sherlock, Christine DiStefano & Brian Habing. (2022) Effects of Mixing Weights and Predictor Distributions on Regression Mixture Models. Structural Equation Modeling: A Multidisciplinary Journal 29:1, pages 70-85.
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Yan Wang, Hsien-Yuan Hsu & Eunsook Kim. (2021) Investigating the Impact of Covariate Inclusion on Sample Size Requirements of Factor Mixture Modeling: A Monte Carlo Simulation Study. Structural Equation Modeling: A Multidisciplinary Journal 28:5, pages 716-724.
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Yu-Yu Hsiao, Eric S. Kruger, M. Lee Van Horn, Davood Tofighi, David P. MacKinnon & Katie Witkiewitz. (2021) Latent Class Mediation: A Comparison of Six Approaches. Multivariate Behavioral Research 56:4, pages 543-557.
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Jeroen K. Vermunt & Jay Magidson. (2021) How to Perform Three-Step Latent Class Analysis in the Presence of Measurement Non-Invariance or Differential Item Functioning. Structural Equation Modeling: A Multidisciplinary Journal 28:3, pages 356-364.
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Roberto Di Mari, Zsuzsa Bakk & Antonio Punzo. (2020) A Random-covariate Approach for Distal Outcome Prediction with Latent Class Analysis. Structural Equation Modeling: A Multidisciplinary Journal 27:3, pages 351-368.
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Veronica T. Cole, Daniel J. Bauer & Andrea M. Hussong. (2019) Assessing the Robustness of Mixture Models to Measurement Noninvariance. Multivariate Behavioral Research 54:6, pages 882-905.
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Eun Sook Kim & Yan Wang. (2019) Investigating Sources of Heterogeneity with Three-Step Multilevel Factor Mixture Modeling: Beyond Testing Measurement Invariance in Cross-National Studies. Structural Equation Modeling: A Multidisciplinary Journal 26:2, pages 165-181.
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Jungkyu Park & Hsiu-Ting Yu. (2018) A Comparison of Approaches for Estimating Covariate Effects in Nonparametric Multilevel Latent Class Models. Structural Equation Modeling: A Multidisciplinary Journal 25:5, pages 778-790.
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Roberto Di Mari & Zsuzsa Bakk. (2018) Mostly Harmless Direct Effects: A Comparison of Different Latent Markov Modeling Approaches. Structural Equation Modeling: A Multidisciplinary Journal 25:3, pages 467-483.
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Thierno M. O. Diallo & HuiZhong Lu. (2017) On the Application of the Three-Step Approach to Growth Mixture Models. Structural Equation Modeling: A Multidisciplinary Journal 24:5, pages 714-732.
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Katherine E. Masyn. (2017) Measurement Invariance and Differential Item Functioning in Latent Class Analysis With Stepwise Multiple Indicator Multiple Cause Modeling. Structural Equation Modeling: A Multidisciplinary Journal 24:2, pages 180-197.
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Ross Jacobucci, Kevin J. Grimm & John J. McArdle. (2017) A Comparison of Methods for Uncovering Sample Heterogeneity: Structural Equation Model Trees and Finite Mixture Models. Structural Equation Modeling: A Multidisciplinary Journal 24:2, pages 270-282.
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Jin Liu & Robert A. Perera. (2023) Further exploration of the effects of time-varying covariate in growth mixture models with nonlinear trajectories. Behavior Research Methods.
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Yoona Jang & Sehee Hong. (2022) Evaluating the Quality of Classification in Mixture Model Simulations. Educational and Psychological Measurement 83:2, pages 351-374.
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Lili Liu, Jianbin Chen, Shunwei Liang, Xiaodan Peng, Wenwen Yang, Andi Huang, Xiayong Wang, Fang Fan & Jingbo Zhao. (2023) An Unusual College Experience: 16-Month Trajectories of Depressive Symptoms and Anxiety among Chinese New Undergraduate Students of 2019 during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 20:6, pages 5024.
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Erika L. Crable, Colleen M. Grogan, Jonathan Purtle, Scott C. Roesch & Gregory A. Aarons. (2023) Tailoring dissemination strategies to increase evidence-informed policymaking for opioid use disorder treatment: study protocol. Implementation Science Communications 4:1.
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Ritesh Mistry, Irina Bondarenko, Jihyoun Jeon, Andrew F. Brouwer, Delvon T. Mattingly, Jana L. Hirschtick, Evelyn Jimenez-Mendoza, David T. Levy, Stephanie R. Land, Michael R. Elliott, Jeremy M.G. Taylor, Rafael Meza & Nancy L. Fleischer. (2021) Latent class analysis of use frequencies for multiple tobacco products in US adults. Preventive Medicine 153, pages 106762.
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Philip Hyland, Frédérique Vallières, Michael Daly, Sarah Butter, Richard P. Bentall, Robert Fox, Thanos Karatzias, Malcolm MacLachlan, Orla McBride, Jamie Murphy, David Murphy, Eric Spikol & Mark Shevlin. (2021) Trajectories of change in internalizing symptoms during the COVID-19 pandemic: A longitudinal population-based study. Journal of Affective Disorders 295, pages 1024-1031.
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Graham J. Reid, Shannon L. Stewart, Melanie Barwick, Charles Cunningham, Jeffrey Carter, Barrie Evans, Alan Leschied, Richard W. J. Neufeld, Jeff St. Pierre, Juliana Tobon, Evelyn Vingilis & Gregory Zaric. (2020) Exploring Patterns of Service Utilization Within Children’s Mental Health Agencies. Journal of Child and Family Studies 30:2, pages 556-574.
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Ali Jalali, Danielle A. Ryan, Philip J. Jeng, Kathryn E. McCollister, Jared A. Leff, Joshua D. Lee, Edward V. Nunes, Patricia Novo, John Rotrosen, Bruce R. Schackman & Sean M. Murphy. (2020) Health-related quality of life and opioid use disorder pharmacotherapy: A secondary analysis of a clinical trial. Drug and Alcohol Dependence 215, pages 108221.
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