MKZ Workshop "Causal Analysis of Panel Data using Structural Equation Modeling" by Prof. Dr. Mayerl
MKZ Workshop as part of SoDoc SoDoc Workshop 2025.
The analysis of panel data is a central tool for analyzing causal and reciprocal relationships as well as change and stability in the social sciences. Panel analysis with SEM includes the following modeling variants in particular:
- autoregressive cross-lagged models
- fixed effects panel models
- latent growth curve models
- hybrid models: latent growth curve models with structured residuals
The workshop focuses on appropriate model specification and interpretation of results, but also on methodological pitfalls of panel analysis and typical problems of unobserved heterogeneity, measurement equivalence, time-varying and -invariant predictors, reverse causality and feedback loops as well as measurement error correlations. The workshop introduces the application-oriented statistical analysis of panel data (e.g. with data from the Gesis Panel) with structural equation models (SEM) using typical SEM software (especially R with the lavaan package, but also Mplus and AMOS).
Time: Wednesday, August 20, 2025, 9 a.m. – 12 p.m.
Location: to be announced
This course introduces the fundamentals of how isotope ratio measurements are used in the geosciences, with special reference to applications in geodynamics, petrology, and ore-forming processes. The lectures will explain the design of analytical equipment used for isotope ratio measurements and present examples of methodology from sampling in the field to mass-spectrometry work in the laboratory, plus data interpretation.
The course is delivered by a guest lecturer, Dr. Katie Smart, who is an expert on both stable and radiogenic isotope applications in the geosciences.