Structural Equation Modeling : A Multidisciplinary Journal

ISSN: 1070-5511 (Print) 1532-8007 (Online) Journal homepage: http://www.tandfonline.com/loi/hsem20 Dynamic Latent Class Analysis Tihomir Asparouhov, Ellen L. Hamaker & Bengt Muthén To cite this article: Tihomir Asparouhov, Ellen L. Hamaker & Bengt Muthén (2017) Dynamic Latent Class Analysis, Structural Equation Modeling: A Multidisciplinary Journal, 24:2, 257-269, DOI: 10.1080/10705511.2016.1253479 To link to this article: http://dx.doi.org/10.1080/10705511.2016.1253479

[1]  Jan-Benedict E. M. Steenkamp,et al.  Finite Mixture Multilevel Multidimensional Ordinal IRT Models for Large Scale Cross-Cultural Research , 2010 .

[2]  Chang‐Jin Kim,et al.  State Space Models with Regime Switching , 1999 .

[3]  F. Vaida,et al.  Conditional Akaike information for mixed-effects models , 2005 .

[4]  B. Muthén,et al.  Multilevel Mixture Models , 2006 .

[5]  Zhiyong Zhang,et al.  Bayesian Estimation of Categorical Dynamic Factor Models , 2007 .

[6]  M. Nerlove,et al.  Biases in dynamic models with fixed effects , 1988 .

[7]  Jean-Philippe Laurenceau,et al.  A Multilevel AR(1) Model: Allowing for Inter-Individual Differences in Trait-Scores, Inertia, and Innovation Variance , 2015, Multivariate behavioral research.

[8]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[9]  R. Altman Mixed Hidden Markov Models , 2007 .

[10]  T. Asparouhov General Random Effect Latent Variable Modeling : Random Subjects , Items , Contexts , and Parameters , 2012 .

[11]  Jean-Paul Fox,et al.  Relaxing Measurement Invariance in Cross-National Consumer Research Using a Hierarchical IRT Model , 2007 .

[12]  Ellen L. Hamaker,et al.  Regime Switching State-Space Models Applied to Psychological Processes: Handling Missing Data and Making Inferences , 2012 .

[13]  Bengt Muthén,et al.  Dynamic Structural Equation Models , 2018 .

[14]  Clive W. J. Granger,et al.  Time Series Modelling and Interpretation , 1976 .

[15]  Mary Kathryn Cowles,et al.  Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models , 1996, Stat. Comput..

[16]  N. Bolger,et al.  Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research , 2013 .

[17]  Bengt Muthén,et al.  Bayesian Analysis Using Mplus: Technical Implementation , 2010 .

[18]  Peter C. M. Molenaar,et al.  A dynamic factor model for the analysis of multivariate time series , 1985 .

[19]  R. Tibshirani,et al.  Linear Smoothers and Additive Models , 1989 .

[20]  B. Muthén,et al.  Multiple Group Multilevel Analysis , 2012 .

[21]  Francis Tuerlinckx,et al.  A hierarchical latent stochastic differential equation model for affective dynamics. , 2011, Psychological methods.

[22]  P. Molenaar A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever , 2004 .

[23]  Ellen L Hamaker,et al.  Modeling BAS Dysregulation in Bipolar Disorder , 2016, Assessment.

[24]  B. Graubard,et al.  Latent Class Analysis of Complex Sample Survey Data , 2002 .

[25]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[26]  Kristopher J Preacher,et al.  No Need to be Discrete: A Method for Continuous Time Mediation Analysis , 2016 .

[27]  Eldad Davidov,et al.  Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance , 2012 .

[28]  T. Asparouhov,et al.  Using Bayesian Priors for More Flexible Latent Class Analysis , 2011 .

[29]  T. Trull,et al.  Analysis of affective instability in ecological momentary assessment: Indices using successive difference and group comparison via multilevel modeling. , 2008, Psychological methods.

[30]  Ellen L. Hamaker,et al.  Conditions for the Equivalence of the Autoregressive Latent Trajectory Model and a Latent Growth Curve Model With Autoregressive Disturbances , 2005 .

[31]  Anthony S. Bryk,et al.  Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .

[32]  B. Muthén,et al.  The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies. , 2008, Psychological methods.

[33]  Daniel J Bauer,et al.  Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. , 2003, Psychological methods.

[34]  Ellen L. Hamaker,et al.  Incorporating measurement error in n = 1 psychological autoregressive modeling , 2015, Front. Psychol..

[35]  J. Oud,et al.  Continuous time modelling with individually varying time intervals for oscillating and non-oscillating processes. , 2013, The British journal of mathematical and statistical psychology.

[36]  Ellen L. Hamaker,et al.  UvA-DARE ( Digital Academic Repository ) To center or not to center ? Investigating inertia with a multilevel autoregressive model , 2014 .

[37]  Ulrich Ebner-Priemer,et al.  The Role of Ambulatory Assessment in Psychological Science , 2014, Current directions in psychological science.

[38]  William J. Browne,et al.  Bayesian and likelihood-based methods in multilevel modeling 1 A comparison of Bayesian and likelihood-based methods for fitting multilevel models , 2006 .

[39]  Ellen L. Hamaker,et al.  Comparisons of Four Methods for Estimating a Dynamic Factor Model , 2008 .

[40]  E L Hamaker,et al.  At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study , 2018, Multivariate behavioral research.

[41]  C. Robert,et al.  Deviance information criteria for missing data models , 2006 .

[42]  Peter C M Molenaar,et al.  Equivalent Dynamic Models , 2017, Multivariate behavioral research.

[43]  B. Muthén,et al.  A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the metropolis-hastings algorithm , 1998 .