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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).

Only Sessions at Date / Time

Session Overview

Date: Tuesday, 30/Sept/2025
8:30am - 9:00am	Registration Location: Opposite Hörsaal 1a
9:00am - 10:30am	Symposium: New Approaches to Analysing Parameter Heterogeneity in Models of Response Processes and Temporal Dynamics Location: Hörsaal 1a Chair: Thorsten Meiser New Approaches to Analysing Parameter Heterogeneity in Models of Response Processes and Temporal Dynamics Chair(s): Thorsten Meiser, Esther Ulitzsch Presentations of the Symposium A Systematic Comparison of Mixture Distribution Models and Score-Based Partitioniong to Capture Response Process Heterogeneity with IRTree models Emre Alagöz, Thorsten Meiser, Rudolf Debelak Faking, Fast and Slow: A Response-Time-Based Latent Response Mixture Model to Account for Faking in High-Stakes Personality Assessments Timo Seitz, Esther Ulitzsch Variant Approaches to Assessing Measurement Invariance: A Comparison of MNLFA and SEM Trees for Detecting Differential Item Functioning Leonie Hagitte, Andreas Markus Brandmaier Exploring Heterogeneity in Temporal Dynamics with Different Extensions of Time-Varying Coefficient Models Esther Ulitzsch, Oliver Lüdtke, Steffen Nestler, Therese Ruud Snuggerud, Sverre Urnes Johnson Latent Markov Factor Analysis for Detecting Dynamics in Attentive and Careless Responding in Intensive Longitudinal Data Leonie V.D.E. Vogelsmeier, Joran Jongerling, Esther Ulitzsch Score-Based Tests with Fixed Effects Person Parameters in Item Response Theory Rudolf Debelak, Charles Driver	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	Methodological challenges in educational and clinical context Location: Raum L 115 Chair: Talha Sajjad Heterogeneity of Effects in Teaching Quality Research: Investigating the Influence of Operationalization Talha Sajjad, Johannes Hartig, Thomas Lösch, Carmen Köhler Prediction Rule Ensembles for Educational Data Mining in Large-Scale Assessments Kristoph Schumann, Karoline Sachse Methods for Modeling Phase Transitions in Longitudinal Networks in the Behavioral Sciences: An Overview Jonas Petter, Lea Schumacher, Talea Sibum, Levente Kriston Individual Differences in Careless Responding in Ambulatory Assessment: A Multilevel Latent Class Approach in Individuals With and Without Chronic Pain Malin Müller, Marcel Schmitt, Lea Schemer, Ulrike Basten, Julia Glombiewski, Julia Karbach, Tanja Könen, Tanja Lischetzke	Current Topics in Measurement Location: Raum L 116 Chair: Can Gürer Penalization Approaches for CML-Estimation - Performance and Applications within the PCM Can Gürer, Clemens Draxler Combining the Answer-Until-Correct Response Format with Bayesian Adaptive Testing Cosima Schenk, Tuo Liu, Aron Fink, Andreas Frey Optimal Designs for Thurstonian IRT Models Based on Linear Paired Comparisons Heinz Holling
10:30am - 11:00am	Coffee Break
11:00am - 12:00pm	Keynote: Measuring Progress with an Interaction Map Approach for Longitudinal Assessment Data Location: Hörsaal 1a Minjeong Jeon, University of California at Los Angeles, USA
12:00pm - 1:30pm	Lunch Break
1:30pm - 3:00pm	Symposium: Machine Learning in Psychology Part I: Evaluation and Guidelines for Using Machine Learning in Psychological Research Location: Hörsaal 1a Chair: Mirka Henninger Machine Learning in Psychology Part I: Evaluation and Guidelines for Using Machine Learning in Psychological Research Chair(s): Mirka Henninger, Susanne Frick Presentations of the Symposium The top five things I wished I had known when starting to work with random forests Carolin Strobl Old Data + Machine Learning = New Knowledge? When Can We Expect Strong Predictive Performance in Psychology? Florian Scharf, Kristin Jankowsky, Kim-Laura Speck, Katrin Jansen, Ulrich Schroeders Evaluating Methods to Assess the Stability of Decision Trees Constantin Wiegand, Florian Scharf, Mirka Henninger How is Machine Learning Used and Interpreted in Psychological Research? A Systematic Review Jan Radek, Carolin Strobl, Mirka Henninger Multivariate Anomaly Detection Methods and their Application in Psychology Loreen Sabel	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	Missing data Location: Raum L 115 Chair: Kai Jannik Nehler Network analysis with ordinal data: a neighborhood selection approach Kai Jannik Nehler, Martin Schultze Addressing Missing Data in Accelerometer Studies: Evaluating the Performance of Imputation Methods for Longitudinal Data Noemi Berliner, Fridtjof W. Nussbeck, Maik Bieleke, Julia Schüler Predicting Dropout in Intensive Longitudinal Data: Extending the Joint Model for Autocorrelated Data Fridtjof Petersen, Laura F. Bringmann, Dimitris Rizopoulos Multiple imputation of multilevel data with single-level models: A fully conditional specification approach using adjusted group means Simon Grund, Oliver Lüdtke, Alexander Robitzsch	Measurement: Threats and Disengagement Location: Raum L 116 Chair: Eva Zink The Influence of Rapid Guessing on Group Comparisons with Plausible Values Eva Zink, Jana Welling, Timo Gnambs Validation of an accumulator model for persistence in cognitive tests Sören Much, Augustin Mutak, Steffi Pohl, Jochen Ranger Incorporating Attention Check Items into a Mixture IRT Model: An Experimental Evaluation of the Detection of Careless Responding Irina Uglanova, Gabriel Nagy, Esther Ulitzsch Incorporating Disengagement Indicators in Differential Effect Analysis: An Empirical Comparison of Modeling Strategies Marie-Ann Sengewald, Janne v. K. Torkildsen, Jarl K. Kristensen, Esther Ulitzsch
3:00pm - 3:30pm	Coffee Break
3:30pm - 5:00pm	Symposium: Machine Learning in Psychology Part II: New Advancements in Statistical Methods Using Machine Learning and AI Location: Hörsaal 1a Chair: Susanne Frick Machine Learning in Psychology Part II: New Advancements in Statistical Methods Using Machine Learning and AI Chair(s): Susanne Frick, Mirka Henninger Presentations of the Symposium Using Large Language Models for Abstract Screening Mirka Henninger, Jan Radek, Martin Pauly Developing and Evaluating Assessment Items: An LLM Framework Rudolf Debelak, Rasmus Alexander Jensen, Alexandre Clin Deffarges, Laura Stahlhut Individual Treatment Effect Estimation Through Transfer Learning Seyda Betul Aydin, Roberto Faleh, Holger Brandt Improving Causal Estimates with Sparse Autoencoders and Integral Probability Measures Roberto Faleh, Sofia Morelli, Holger Brandt Highly Efficient Anomaly Detection with Ensembles of Small Linear Models Philipp Doebler	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	Software Location: Raum L 115 Chair: Kenneth Koslowski mlts – An open-source R-package for estimation of multilevel latent time series models Kenneth Koslowski, Fabian Felix Münch, Tobias Koch, Jana Holtmann latent: an R package for fast and general Latent Variable Modeling in R Marcos Jiménez, Mauricio Garnier-Villarreal, Vithor R. Franco StructuralEquationModels.jl: a Julia Package for Extensible and Eﬀicient Structural Equation Modeling Maximilian Stefan Ernst, Andreas Markus Brandmaier, Aaron Peikert StatsQuest: The Inferential Statistics Adventure Andreas Markus Brandmaier	Cognitive modeling Location: Raum L 116 Chair: Julius Fenn Cognitive-Affective Maps Extended Logic (C.A.M.E.L.): A Toolset for the Visualization and Analysis of Cognitive-Affective Structures in Psychological Research Julius Fenn, Michael Gorki, Lisa Reuter, Wilhelm Gros, Andrea Kiesel Multinomial Processing Trees with Diffusion Model Kernels for Response Time Integration Raphael Hartmann, Constantin Meyer-Grant, Karl Christoph Klauer Extreme-Value Signal Detection Theory for Recognition Memory: The Parametric Road Not Taken Constantin G. Meyer-Grant, David Kellen, Henrik Singmann, Samuel M. Harding The Statistical Costs of Correcting Empty Cells in Two-Step Signal Detection Analyses: A Case for a Mixed-Effects Approach Marie Jakob, Raphael Hartmann, Constantin G. Meyer-Grant, Karl Christoph Klauer
5:00pm - 6:15pm	Poster Location: in front of lecture halls on the second floor 01: A comparative analysis of modeling curvilinear covariate effects on structural IRTree parameters with discrete mixtures versus score-based partitioning Lara Schmid, Emre Alagöz, Thorsten Meiser 02: AIC versus BIC für den Vergleich polynomialer Regressionsmodelle Kira Helena Schweickhardt, Steffen Nestler, Sarah Humberg 03: A unified parallel constraint satisfaction model for intertemporal and risky choice Hannah Pongratz, Martin Schoemann, Stefan Scherbaum 04: Benchmarking Julia against R for efficiency Moritz Ehrnstraßer, Salome Li Keintzel, Kim-Laura Speck, Florian Scharf 05: Comparing the performance of tree-based algorithms in meta-analysis Richard Woermann, Steffen Nestler, Katrin Jansen 06: Confirmatory psychological network analysis: Evaluating fit indices, similarity measures, and hypothesis tests Tatiana Kvetnaya, Martin Schultze 07: Deep Learning -Based Approaches for Continuous-Time Dynamical Systems Charles Driver, Manaswi Mondol 08: Detecting Atypical Response Patterns with the Latent Space Item Response Model Viktoria Heinzl, Vincent Fischer, Thorsten Meiser 09: Divided we stand: A tutorial on using variability in theory and data analysis Christoph Naefgen, Daniel Gotthardt, Anne Reinarz 10: Handling Missing Data in Longitudinal Designs: An Evaluation of Single-Level and Multilevel Approaches to Multiple Imputation Mark Lustig, Simon Grund 11: Modelling vigilance behaviour with stochastic processes Alex Rieger, Anna Pöker, Jan de Haan, Frank Eggert 12: Multiple Imputation of Binary Outcomes in Small Samples – A Comparative Study of Predictive Mean Matching and Logistic Regression Imputation Ermioni Athanasiadi, Kristian Kleinke 13: On the Potential of Latent Space Item Response Models to Accommodate and Detect Differential Item Functioning in IRT Vincent Eric Fischer, Thorsten Meiser 15: STARTistica: An R package for extended outputs to accompany introductory statistics courses Edessa Gügör, Denny Kerkhoff 16: Systematic evaluation of decision bias estimation in the drift diffusion model Nele Bögemann, Steffen Nestler 17: Temporal-Difference Learning Maps Onto Response Times - A Reinforcement Learning-Diffusion Decision Model of Two-Stage Decision-Making Nicola Schneider, Steven Miletić, Andreas Voss 18: The Guessing Problem: Improving the Validity of a Knowledge Test - A Bayesian-Hierarchical Multinomial Processing Tree Approach Julius Protte, Timo Seitz, Franziska Leipold 19: Three-Step Estimation of Structural Equation Models with Diffusion Model Components Jochen Ranger, Raimund Krämer, Florian Schmitz, Jörg-Tobias Kuhn 20: To Accumulate or Not to Accumulate? A Comparison of Two Approaches for Modeling Temporal Trends in Autoregressive SEMs Kristian Genz, Salome Li Keintzel 21: Unmasking the Faker: Heterogeneous Perception of Social Desirability in Context of the Multidimensional Nominal Response Model Julius David Kleinbub, Timo Seitz 22: Using features of dynamic networks to guide treatment selection and outcome prediction: The central role of uncertainty Björn S. Siepe, Matthias Kloft, Yong Zhang, Fridtjof Petersen, Laura F. Bringmann, Daniel W. Heck 23: Why Did the Gender Gap in Life Satisfaction Among Adolescents in Leipzig Grow from 2010 to 2023? Making Sense of Models with marginaleffects Julia M. Rohrer, Richard McElreath, Gregor Kachel 24: The Early Prosocial Behaviour Questionnaire (EPBQ): Examining factorial, convergent, and discriminant validity through a multitrait-multirater approach Tiago Ferreira, Andreia Silva, Ana Lemos, Filipa Nunes, Paula Mena Matos
7:00pm - 11:00pm	Dinner Casa Carlotta The conference dinner will take place on September 30th at a unique venue close to the conference location (https://www.casa-carlotta.com/). Participation in the conference dinner is optional and may be booked separately at a price of 68 EUR per person. The number of participants is limited to 80. Tickets will be sold on a first come first serve basis.

17th Conference of the Methods & Evaluation Section
of the German Psychological Society (DGPs)

September 28 - October 1, 2025 | Berlin, Germany

Conference Agenda