Structural Equation Modeling : A Multidisciplinary Journal
暂无分享,去创建一个
[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 .