Seminar in Psychometrics
Dynamic structural equation models
Date and time: March 14, 2024 (4:00 PM CET)
Place ICS CAS room 318, Pod Vodárenskou věží 2, Prague 8, also on Zoom.
Intensive longitudinal data, typically obtained from ecological momentary assessment, experience sampling methodology, or ambulatory assessment, represent a novel and unique source of information about individuals' developmental dynamics. To analyze these data, recently developed Dynamic Structural Equation Models (DSEM), which integrate time series modeling, time-varying effects modeling, multilevel modeling, and structural equation modeling, are often recommended. During my presentation, I will introduce DSEM along with simpler related models (e.g., AR, VAR, mlVAR), with special attention to its possibilities and limitations, including model building and hypothesis crafting. Examples of R and Mplus syntax will also be presented.
References:Asparouhov, T., Hamaker, E. L., & Muthén, B. (2018). Dynamic structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 25(3), 359–388. https://doi.org/10.1080/10705511.2017.1406803
Hamaker, E. L., Asparouhov, T., & Muthén, B. (2023). Dynamic structural equation modeling as a combination of time series modeling, multilevel modeling, and structural equation modeling. In R. H. Hoyle (Ed.), The Handbook of Structural Equation Modeling (2nd edition) (pp. 576–596). Guilford Press.
McNeish, D., & Hamaker, E. L. (2020). A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. Psychological Methods, 25(5), 610–635. https://doi.org/10.1037/met0000250
David Lacko
Institue of psychology CAS & Masaryk University
David Lacko earned his doctoral degree in general psychology from Masaryk University (Department of Psychology, Faculty of Arts). He is a member of the Brno Lab of Intergroup Processes (Institute of Psychology, Czech Academy of Sciences) and the Interdisciplinary Research Team on Internet and Society (Faculty of Social Studies, Masaryk University). His long-term research interests include cross-cultural research, methodology of science, and statistics. Currently, he is also examining the effects of video games and video streaming on well-being and exploring the implementation of reaction time joint modeling into social psychology.