17th Conference of the Methods & Evaluation Section
of the German Psychological Society (DGPs)
September 28 - October 1, 2025 | Berlin, Germany
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).
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Session Overview |
| Date: Monday, 29/Sept/2025 | ||||
| 8:30am - 8:45am |
Opening Session Location: Hörsaal 1a |
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| 8:45am - 9:45am |
Artificial Intelligence and Measurement Location: Hörsaal 1a Frauke Kreuter,
LMU München, Germany |
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| 9:45am - 10:15am |
Coffee Break |
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| 10:15am - 11:30am |
The Promises and Pitfalls of Complex Statistics and Simple Feedback in Psychology Location: Hörsaal 1a Laura Bringmann,
University of Groningen, The Netherlands |
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| 11:30am - 1:00pm |
Symposium: Causal inference beyond the standard settings Location: Hörsaal 1a Chair: Steffi Pohl Causal inference beyond the standard settings Presentations of the Symposium Definition and Identification of Causal Ratio Effects Asymmetric Confidence Intervals for Average Treatment Effects on Binary Outcomes Using Difference- and Ratio-Effect Specifications Using Causal Attribution for Individualized Treatment Selection Explaining Effect Heterogeneity: Using Causal Decomposition across Replication Studies From Path Diagrams to Causal Graphs: A Structural Approach to Multilevel Models |
Large Language Models Location: Raum L 113 Chair: Rahel Franziska Geppert Agent-Based Model on a Quantum Computer From Text to Context: Conversational Large Language Models as Automated Data Extraction Tools Can AI Judge Like Humans? A Psychometric Framework Diagnostic evidence from graphical responses – using synthetic data for vision models |
Statistical Inference Location: Raum L 115 Chair: Julien P. Irmer A Simulation Study to Compare Inferential Properties when Modelling Ordinal Outcomes: The Case for the (Plain but Robust) Proportional Odds Model Relation Analysis - A new Approach to Logical and Statistical Analysis of Hypotheses and Data No Analytical Power Formula? No Problem. A General Model-Implied Simulation-Based Approach to Power Estimation for Likelihood Ratio Tests with Applications in Complex SEM Post-selection inference in Linear Mixed Models |
Differential Item Functioning and Parameter Instability Location: Raum L 116 Chair: Farshad Effatpanah Differential Item Functioning in Polytomous Diagnostic Classification Models: An Extension of the Sequential G-DINA Model A Local Nonparametric Framework for Detecting DIF Along a Continuous Covariate Across Diverse IRT Models Trend Estimation in Longitudinal Assessments: Comparing Concurrent Calibration, Item Parameter Drift Detection-Based Methods, Robust Linking, and Regularized Estimation On the meaning of measurement invariance in social relations – confirmatory factor analysis for relative variance parameters |
| 1:00pm - 2:30pm |
Lunch Break |
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| 2:30pm - 4:00pm |
Symposium: Measurement and Machine Learning Location: Hörsaal 1a Chair: Melanie Viola Partsch Measurement and Machine Learning Presentations of the Symposium How Much Is Too Much? The Relationship Between Scalar Non-Invariance and Bias in Mean Comparisons A causal framework for cross-sectional and longitudinal investigations of measurement invariance Non-Invariance in Machine Learning: Limiting the Comparability of Predictions The Potential and Limits of Machine Learning in Rare Event Classifications Introduction and illustration of a new method for detecting and classifying SEM misfit using machine learning |
Panel Discussion: Quality Standards for Simulation Studies Location: Raum L 113 Panelists: Björn Siepe, Carolin Strobl, Julien Irmer, Thorsten Meiser; Moderation: Steffi Pohl
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Heterogeneity Location: Raum L 115 Chair: Manuel Arnold Title: As Easy as It Gets: Exploring Parameter Heterogeneity with Individual Parameter Contribution Regression Reasoning with conditionals: A Bayesian latent-mixture model Covariate-informed classification of qualitative individual differences with Bayesian hierarchical latent-mixture models Score-Based Tests for Parameter Instability in Ordinal Factor Models |
Item selection Location: Raum L 116 Chair: Martin Schultze Utilizing lexical information in automated item selection procedures Applications of Integer Programming by the Example of Anticlustering Using Binary Integer Programming to Revise the Big Five Triplets Technology-Based Speed Tests: The Added Value of Timing Data for Item Selection |
| 4:00pm - 4:30pm |
Coffee Break |
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| 4:30pm - 5:30pm |
Meeting of the Methods Section (Fachgruppensitzung) Location: Hörsaal 1a |
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| 5:30pm - 6:00pm |
Meeting of the Early Career Members (Treffen der Jungmitglieder) Location: Hörsaal 1a |
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| 6:00pm - 7:30pm |
Reception GalileA |
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