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
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