Conference Agenda

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).

 
 
Session Overview
Date: Wednesday, 01/Oct/2025
9:00am
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10:30am
Combining machine learning with mixed effects models
Location: Hörsaal 1a
Chair: Björn S. Siepe
 

Combining machine learning with mixed effects models

Chair(s): Björn S. Siepe

 

Presentations of the Symposium

 

Moderator selection in meta-analysis using lasso and elastic net regularization

Katrin Jansen, Steffen Nestler

 

Tree-based methods for multilevel data: The influence of predictor levels on variable selection and prediction

Linus Hany, Mirka Henninger

 

Are Bayesian regularization methods a must for dynamic latent variable models?

Vivato V. Andriamiarana, Pascal Kilian, Holger Brandt, Augustin Kelava

 

Mixed effects LSTMs: Long short-term memory neural networks for hierarchical data

Anton Ernst, Daniel W. Heck, Björn S. Siepe

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



Combining Factor Scores and G-estimation to Handle Unmeasured Confounding in Latent Mediation Analysis

Sofia Morelli, Roberto Faleh, Holger Brandt



Time Aggregation and Missing Time Frames in Causal Research With Panel Data

Jeroen D. Mulder, Manuel C. Voekle, Ellen L. Hamaker

Meta-Analysis and Multiverse-Analysis
Location: Raum L 115
Chair: Julian Lohmann
 

A Comparison of Different Approaches for Estimating Study-Level Moderation Effects in Meta-Analytic Structural Equation Modeling

Julian F. Lohmann, Oliver Lüdtke, Alexander Robitzsch



MetaEGM - Combining Evidence Gap Maps and Meta-Analysis

Julian Gregor Scherhag, Michael Bosnjak



Prediction Intervals for Meta-Analysis using Combined P-value Functions

David Kronthaler, Leonhard Held



Reliability Multiverse Analyses: Chances & Challenges

Mario Reutter

Response Scales
Location: Raum L 116
Chair: Tanja Kutscher
 

When Preferences Matter: The Impact of Rating Scale Preferences on Survey Responses and Measurement Quality

Tanja Kutscher, Michael Eid



Theoretical and Empirical Evidence For High Data Quality With Visual Analogue Scales

Tim Angelike, Frederik Funke, Ulf-Dietrich Reips



Detecting Response Styles in Slider Scales

Dominik Vollbracht, Mirka Henninger, Tanja Lischetzke



Measuring Ambivalence of Affective Normative Words Using Dual Range Sliders

Matthias Kloft

10:30am
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11:00am
Coffee Break
11:00am
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12:00pm
Keynote Award Winner
Location: Hörsaal 1a
12:00pm
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1:30pm
Lunch Break
1:30pm
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3:00pm
Symposium: Versatility in the Application of Bayesian Statistics
Location: Hörsaal 1a
Chair: Tina Braun
 

Versatility in the Application of Bayesian Statistics

Chair(s): Tina Braun

 

Presentations of the Symposium

 

Designing for Power: Managing Sample Size Amid Effect Size Uncertainty

Robert Miller, Timo von Oertzen

 

Using Flat Priors as a Simple Mean to Conduct Bayesian Multilevel Analysis

Tina Braun, Timo von Oertzen

 

Reading Emotions from the Real World: Embeddings over Categories

Hannes Diemerling, Patricia Kulla, Joachim Kruse

 

Why We Should Abandon Tests with Reduced Dimensionality, Even if They are Bayesian

Timo von Oertzen

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



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

Open science
Location: Raum L 115
Chair: Aaron Peikert
 

Prediction is All You Need to Demand Open and Transparent Science

Aaron Peikert



Must have my walking stick 'cause it may rain: Exploring and exploiting rating scale restrictions via Bernoulli-formalization

Jens Hendrik Fünderich



Simulation studies for methodological research: Status quo, problems, and potential solutions

Björn S. Siepe, František Bartoš, Samuel Pawel



Sequential Designs for Efficient Replications: A Systematic Evaluation

Dennis Kondzic, Robert Miller, Steffi Pohl

Applied Measurement
Location: Raum L 116
Chair: Julian M. Etzel
 

A Brief History of Circumplex Models (and a Look Ahead)

Julian M. Etzel



Measurement Invariance of the Strengths and Difficulties Questionnaire (SDQ) Across Age in a German Representative Sample: An Application of Confirmatory Factor Analysis Using k-fold Cross-Validation

Claudia Lazarides, Claudia Niessner, Simon Kolb, Jannik H. Orzek, Alexander Woll, Stephen G. West, Manuel C. Voelkle



CFA measurement invariance analysis methodology in an analysis of the Big Five Inventory 2

Nils Petras



The Stanford Dissociation Questionnaire: A Three-Facet Measure of Trait and State Dissociation

Johannes Bodo Heekerens, David Preece, James Gross

3:00pm
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3:30pm
Closing session
Location: Hörsaal 1a

 
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