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Psychometrika|December 17, 2013
Nonlinear random-effects mixture models for repeated measuresCasey L Codd, Robert CudeckBehavior Research Methods|October 12, 2013
Fitting correlated residual error structures in nonlinear mixed-effects models using SAS PROC NLMIXEDJeffrey R Harring, Shelley A BlozisPsychological Methods|November 5, 2003
A realistic perspective on pattern representation in growth data: comment on Bauer and Curran (2003)Robert Cudeck, Susan J HenlyPsychological Methods|April 4, 2002
Multiphase mixed-effects models for repeated measures dataRobert Cudeck, Kelli J KlebeApplied Psychological Measurement|July 11, 2022
Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation CountsKaiwen Man, Jeffrey R Harring, Peida ZhanPsychometrika|May 1, 2015
A Finite Mixture of Nonlinear Random Coefficient Models for Continuous Repeated Measures DataNidhi Kohli, Jeffrey R Harring, Cengiz ZopluogluMultivariate Behavioral Research|May 16, 2019
Latent Growth Models with Floors, Ceilings, and Random KnotsYi Feng, Gregory R Hancock, Jeffrey R HarringEducational and Psychological Measurement|July 16, 2021
A Comparison of Label Switching Algorithms in the Context of Growth Mixture ModelsKristina R Cassiday, Youngmi Cho, Jeffrey R HarringPsychological Methods|May 16, 2022
Nonconvergence, covariance constraints, and class enumeration in growth mixture modelsDaniel McNeish, Jeffrey R Harring, Daniel J BauerEducational and Psychological Measurement|May 26, 2018
A Note on the Specification of Error Structures in Latent Interaction ModelsXiulin Mao, Jeffrey R Harring, Gregory R HancockPageof 5