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Phillip K. Wood. (2023) Combined Logistic and Confined Exponential Growth Models: Estimation Using SEM Software. Structural Equation Modeling: A Multidisciplinary Journal 0:0, pages 1-13.
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Corissa T. Rohloff, Nidhi Kohli & Seungwon Chung. (2023) The Impact of Functional Form Complexity on Model Overfitting for Nonlinear Mixed-Effects Models. Multivariate Behavioral Research 58:4, pages 723-742.
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Daniel Seddig. (2023) Latent Growth Models for Count Outcomes: Specification, Evaluation, and Interpretation. Structural Equation Modeling: A Multidisciplinary Journal 0:0, pages 1-17.
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Jan Alexander de Vos, Mirjam Radstaak, Ernst T. Bohlmeijer & Gerben J. Westerhof. (2023) Modelling trajectories of change in psychopathology and well-being during eating disorder outpatient treatment. Psychotherapy Research 33:4, pages 415-427.
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Sigrun K. Ertesvåg. (2021) Exploring improvement in teachers’ instructional support: classifying and analyzing patterns of change in a national initiative on classroom management. International Journal of Leadership in Education 24:4, pages 533-557.
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Daniel McNeish. (2020) Relaxing the Proportionality Assumption in Latent Basis Models for Nonlinear Growth. Structural Equation Modeling: A Multidisciplinary Journal 27:5, pages 817-824.
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Eduardo Estrada, Fumiaki Hamagami & Emilio Ferrer. (2020) Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion. Multivariate Behavioral Research 55:3, pages 454-477.
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Yi Feng, Gregory R. Hancock & Jeffrey R. Harring. (2019) Latent Growth Models with Floors, Ceilings, and Random Knots. Multivariate Behavioral Research 54:5, pages 751-770.
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Lijuan Wang, Miao Yang & Xiao Liu. (2019) The Impact of Over-Simplifying the Between-Subject Covariance Structure on Inferences of Fixed Effects in Modeling Nested Data. Structural Equation Modeling: A Multidisciplinary Journal 26:1, pages 1-11.
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Lizbeth Benson, Nilam Ram & Cynthia A. Stifter. (2018) Using Fishery Models to Examine Self- and Co-Regulation Processes Across Multiple Timescales. Structural Equation Modeling: A Multidisciplinary Journal 25:6, pages 906-923.
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Gabriela Stegmann, Ross Jacobucci, Sarfaraz Serang & Kevin J. Grimm. (2018) Recursive Partitioning with Nonlinear Models of Change. Multivariate Behavioral Research 53:4, pages 559-570.
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Rens van de Schoot, Marit Sijbrandij, Sonja D. Winter, Sarah Depaoli & Jeroen K. Vermunt. (2017) The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies. Structural Equation Modeling: A Multidisciplinary Journal 24:3, pages 451-467.
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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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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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Daniel McNeish & Denis Dumas. (2017) Nonlinear Growth Models as Measurement Models: A Second-Order Growth Curve Model for Measuring Potential. Multivariate Behavioral Research 52:1, pages 61-85.
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Sarfaraz Serang, Kevin J. Grimm & John J. McArdle. (2016) Estimation of Time-Unstructured Nonlinear Mixed-Effects Mixture Models. Structural Equation Modeling: A Multidisciplinary Journal 23:6, pages 856-869.
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Jeffrey R. Harring & Shelley A. Blozis. (2016) A Note on Recurring Misconceptions When Fitting Nonlinear Mixed Models. Multivariate Behavioral Research 51:6, pages 805-817.
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Haiyan Liu, Zhiyong Zhang & Kevin J. Grimm. (2016) Comparison of Inverse Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis. Structural Equation Modeling: A Multidisciplinary Journal 23:3, pages 354-367.
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Wei Wu & Kyle M. Lang. (2016) Proportionality Assumption in Latent Basis Curve Models: A Cautionary Note. Structural Equation Modeling: A Multidisciplinary Journal 23:1, pages 140-154.
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Holger Brandt & Andreas G. Klein. (2015) A Heterogeneous Growth Curve Model for Nonnormal Data. Multivariate Behavioral Research 50:4, pages 416-435.
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Sarfaraz Serang, Zhiyong Zhang, Jonathan Helm, Joel S. Steele & Kevin J. Grimm. (2015) Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models. Structural Equation Modeling: A Multidisciplinary Journal 22:2, pages 202-215.
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Sonya K. Sterba. (2014) Fitting Nonlinear Latent Growth Curve Models With Individually Varying Time Points. Structural Equation Modeling: A Multidisciplinary Journal 21:4, pages 630-647.
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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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KevinJ. Grimm, JoelS. Steele, Nilam Ram & JohnR. Nesselroade. (2013) Exploratory Latent Growth Models in the Structural Equation Modeling Framework. Structural Equation Modeling: A Multidisciplinary Journal 20:4, pages 568-591.
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KevinJ. Grimm, AnthonyP. Kuhl & Zhiyong Zhang. (2013) Measurement Models, Estimation, and the Study of Change. Structural Equation Modeling: A Multidisciplinary Journal 20:3, pages 504-517.
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Nidhi Kohli & JeffreyR. Harring. (2013) Modeling Growth in Latent Variables Using a Piecewise Function. Multivariate Behavioral Research 48:3, pages 370-397.
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Flaviu A. Hodis & Georgeta M. Hodis. (2013) Latent Growth Modeling for Communication Research: Opportunities and Perspectives. Annals of the International Communication Association 37:1, pages 183-218.
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JoelS. Steele. (2013) Longitudinal Data Analysis for the Behavioral Sciences Using R. Structural Equation Modeling: A Multidisciplinary Journal 20:1, pages 175-180.
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Kevin Grimm, Zhiyong Zhang, Fumiaki Hamagami & Michèle Mazzocco. (2013) Modeling Nonlinear Change via Latent Change and Latent Acceleration Frameworks: Examining Velocity and Acceleration of Growth Trajectories. Multivariate Behavioral Research 48:1, pages 117-143.
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Paolo Ghisletta & JohnJ. McArdle. (2012) Latent Curve Models and Latent Change Score Models Estimated in R. Structural Equation Modeling: A Multidisciplinary Journal 19:4, pages 651-682.
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JeffreyR. Harring, Nidhi Kohli, RebeccaD. Silverman & DeborahL. Speece. (2012) A Second-Order Conditionally Linear Mixed Effects Model With Observed and Latent Variable Covariates. Structural Equation Modeling: A Multidisciplinary Journal 19:1, pages 118-136.
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MariyaP. Shiyko, Yuelin Li & David Rindskopf. (2012) Poisson Growth Mixture Modeling of Intensive Longitudinal Data: An Application to Smoking Cessation Behavior. Structural Equation Modeling: A Multidisciplinary Journal 19:1, pages 65-85.
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Alexandre
J. S. Morin, Christophe Maïano, HerbertW. Marsh, Michel Janosz & Benjamin Nagengast. (2011) The Longitudinal Interplay of Adolescents' Self-Esteem and Body Image: A Conditional Autoregressive Latent Trajectory Analysis. Multivariate Behavioral Research 46:2, pages 157-201.
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KevinJ. Grimm, Nilam Ram & Ryne Estabrook. (2010) Nonlinear Structured Growth Mixture Models in Mplus and OpenMx. Multivariate Behavioral Research 45:6, pages 887-909.
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KevinJ. Grimm & KeithF. Widaman. (2010) Residual Structures in Latent Growth Curve Modeling. Structural Equation Modeling: A Multidisciplinary Journal 17:3, pages 424-442.
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