- Muthén, B. & Asparouhov, T. (2023). Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects. Submitted for publication.
- Asparouhov, T. & Muthén, B. (2023). Penalized structural equation models. Version 4. Submitted for publication. (Supplementary Materials).
- Asparouhov, T. & Muthén, B. (2023). Multiple group alignment for exploratory and structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 30(2), 169-191. DOI: 10.1080/10705511.2022.2127100
- Asparouhov, T. & Muthén, B. (2023). Residual Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal, 30, 1-31. DOI: 10.1080/10705511.2022.2074422
- Asparouhov, T. & Muthén, B. (2022). Practical Aspects of Dynamic Structural Equation Models.
- Muthén, B. & Asparouhov, T. (2022). Latent transition analysis with random intercepts (RI-LTA). Psychological Methods, 27(1), 1–16. DOI: 10.1037/met0000370. Scripts are available on our RI-LTA page.
- Hamaker, E.L., Asparouhov, T, & Muthén, B. (2021). Dynamic structural equation modeling as a combination of time series modeling, multilevel modeling, and structural equation modeling. To be published as Chapter 31 in: The Handbook of Structural Equation Modeling (2nd edition); Rick H. Hoyle (Ed.); Publisher: Guilford Press. (Download supplementary materials).
- Asparouhov, T. & Muthén, B. (2021). Advances in Bayesian model fit evaluation for structural equation models, Structural Equation Modeling: A Multidisciplinary Journal, 28:1, 1-14, DOI: 10.1080/10705511.2020.1764360
- Asparouhov, T. & Muthén, B. (2021). Bayesian estimation of single and multilevel models with latent variable interactions. Structural Equation Modeling: A Multidisciplinary Journal, 28:2, 314-328, DOI: 10.1080/10705511.2020.1761808 (Download scripts *NOTE: Scripts refer to section numbers from the Mplus Web Note 23 version of this paper that are not present in the current version.).
- Asparouhov, T. & Muthén, B. (2021). Expanding the Bayesian structural equation, multilevel and mixture models to Logit, negative-binomial and nominal variables. Structural Equation Modeling: A Multidisciplinary Journal, 28:4, 622-637, DOI: 10.1080/10705511.2021.1878896 (Download scripts).
- Asparouhov, T. & Muthén, B. (2020). Comparison of models for the analysis of intensive longitudinal data. Structural Equation Modeling: A Multidisciplinary Journal, 27(2) 275-297, DOI: 10.1080/10705511.2019.1626733 (Download scripts).
- Hamaker, E. L., & Muthén, B. (2020). The fixed versus random effects debate and how it relates to centering in multilevel modeling. Psychological Methods, 25(3), 365–379. https://doi.org/10.1037/met0000239 (Download scripts).
- Asparouhov, T. & Muthén, B. (2019). Nesting and equivalence testing for structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 26:2, 302-309, DOI: 10.1080/10705511.2018.1513795. (Download scripts).
- Asparouhov, T. & Muthén, B. (2019). Latent variable centering of predictors and mediators in multilevel and time-series models. Structural Equation Modeling: A
Multidisciplinary Journal, 26, 119-142. DOI: 10.1080/10705511.2018.1511375 (Download scripts).
- Asparouhov, T., Hamaker, E.L. & Muthen, B. (2018). Dynamic structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 25:3, 359-388, DOI: 10.1080/10705511.2017.1406803
(Download Mplus analyses).
- Asparouhov, T. & Muthén, B. (2018). Continuous - Time Survival Analysis in Mplus. Version 3. June 29, 2018. (Download scripts).
- Asparouhov, T. & Muthén, B. (2018). SRMR in Mplus. Technical Report. May 2, 2018.
- Hamaker, E.L., Asparouhov, T., Brose, A., Schmiedek, F. & Muthen, B. (2018). At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO study. Multivariate Behavioral Research, DOI: 10.1080/00273171.2018.1446819
- Schultzberg, M. & Muthén, B. (2018). Number of subjects and time points needed for multilevel time series analysis: A simulation study of dynamic structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 25:4, 495-515, DOI:10.1080/10705511.2017.1392862.
(Supplementary material). Paper referred to in Part 7 of the August 18 DSEM workshop.
- Asparouhov, T., Hamaker, E.L. & Muthen, B. (2017). Dynamic Latent Class Analysis. Structural Equation Modeling: A Multidisciplinary Journal, 24:2, 257-269, DOI: 10.1080/10705511.2016.1253479
- Asparouhov, T, & Muthén, B. (2017). Prior-Posterior Predictive P-values. Mplus Web Notes: No. 22. April 27, 2017. Version 2.
(Download Mplus analyses).
- Version 7 papers.
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