Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
10:15am Large Language Models Location: Raum L 113 Chair: Rahel Franziska Geppert
Agent-Based Model on a Quantum Computer
Rahel Franziska Geppert, Hedwig Körfgen, Sabine Tornow
From Text to Context: Conversational Large Language Models as Automated Data Extraction Tools
Isabel Mertins, Fridtjof Petersen, Laura F. Bringmann
Diagnostic evidence from graphical responses – using synthetic data for vision models
Sonja Hahn, Leon Hammerla, Ulf Kroehne
2:30pm Panel Discussion: Quality Standards for Simulation Studies Location: Raum L 113 Panelists: Susanne Frick, Julien Irmer, Thorsten Meiser, Carolin Strobl, Björn Siepe, Esther Ulitzsch; Moderation: Steffi Pohl
9:00am Symposium: Improving Dynamic Modeling of Intensive Longitudinal Data Location: Raum L 113 Chair: Holger Brandt
Improving Dynamic Modeling of Intensive Longitudinal Data
Chair(s): Sofia Morelli , Kento Okuyama , Holger Brandt
Presentations of the Symposium
Recent Developments in ctsem -- Heterogeneity Across and Within Subjects, Misfit, Dimensionality
Charles Driver
Combining Factor Scores and G-estimation to Handle Unmeasured Confounding in Latent Mediation Analysis
Sofia Morelli , Roberto Faleh , Holger Brandt
Model fit evaluation in Dynamic Structural Equation Models
Kim Zierahn , Mihai Faculsan , Nikita Saprinsky , Holger Brandt
Meta-Learning Approaches for improving misfit detection in Dynamic Structural Equation Models
Luca Neduchal , Kento Okuyama , Holger Brandt
Time-series forecasting in dynamic structural equation models under model uncertainty: Bayesian model stacking approach
Kento Okuyama , Luca Neduchal , Holger Brandt
1:30pm Intensive longitudinal data Location: Raum L 113 Chair: Lennart Nacke
Level-specific reliability coefficients from the perspective of latent state-trait theory
Lennart Nacke, Axel Mayer
Estimating trait negative emotion differentiation: How many measurement occasions and emotion items are needed?
Sabrina Ecker, Esther Ulitzsch, Tanja Lischetzke
Dynamic Systems Approaches for Satisfaction and Affect Panel Data -- Some Complications
Michael Aristodemou, Charles C Driver
Comparing modeling strategies for intensive longitudinal data within the Latent State-Trait framework – an example using students’ fatigue
Denny Kerkhoff, Axel Mayer
3:30pm Applied Longitudinal Studies Location: Raum L 113 Chair: Tiago Ferreira
Trajectories of Early Prosocial Behavior: A Comparison of Model- and Algorithm-Based Clustering
Tiago Ferreira, Filipa Nunes, Jorge Valente, Patrício Costa
Well–Being Trajectories and Social Resources during Late-Life Transitioning to Singlehood: A Synthetic Control Study
Urmimala Ghose, Rinseo Park, Jacqui Smith, Denis Gerstorf, Nilàm Ram
Unraveling the Etiology of Burnout: Advancing Causal Insights with Longitudinal Within-Person Designs
Lucas Maunz, Jürgen Glaser
9:00am Causal Inference Longitudinal Location: Raum L 113 Chair: Lukas Junker
Towards a Clearer Understanding of Causal Estimands: The Importance of Joint Effects in Longitudinal Designs with Time-Varying Treatments
Lukas Junker, Ramona Schödel, Florian Pargent
Estimating Causal Effects of Time-Varying Treatments in Latent State-Trait Models for Intensive Longitudinal Data
Fabian Felix Münch, Jana Holtmann, Tobias Koch
A powerful arsenal of theory-building tools, or just hopelessly lost in 'modeling'? A look at structural equation models from a perspective of scientific logic.
Andreas Klein
1:30pm Causal Inference: Estimation and General Considerations Location: Raum L 113 Chair: Christoph Jindra
MAGMA – A multi-group matching algorithm and a framework to evaluate balance
Julian Urban, Markus Daniel Feuchter, Franzis Preckel
Doubly Protective or Doubly Fragile? A Comparison of Doubly Robust Approaches for Estimating Average Treatment Effects
Jingyu Zhang, Oliver Lüdtke, Alexander Robitzsch
Targeted Maximum Likelihood Estimation for Causal Inference with Observational Data - The Example of Private Tutoring
Christoph Jindra, Karoline A. Sachse