Jan Killisch: Constructing multidimensional forced-choice tests using social desirability rankings

Qixiang Fang: Leveraging measurement theory for natural language processing research

Caroline Böhm: How do modifications of validated scales impact replicability in existing data?

Caroline Streitberger: What drives the associative memory deficit in healthy aging? Mixed storage and clear retrieval findings

Jill de Ron: Towards a general modeling framework of resource competition in cognitive development

Steven Bißantz: Beyond human expertise: Predicting replication success with a super learner

Pia Andresen: It's about time: Integrating time scales using measurement burst data

Anna Neumer: Hybrid happiness: Employees' proactive efforts for psychological need satisfaction when working from home versus at the office

Manuel Haqiqatkhah: Day-to-day dynamics, day-of-week effects, and week-to-week dynamics: Seasonal ARMA modeling of daily diary data

Yufei Wu: Learning in a non-learning paradigm: The undiscovered dynamics

Shanqing Gao: Associative priming and categorical priming in the word-picture paradigm: A hierarchical drift diffusion model analysis

Julia Liss: Discriminating between biases in the first-person shooter task

Tamás Szűcs: A systematic examination of the causal determinants of affect

Emre Alagöz: Disentangling heterogeneity in response processes with IRTrees

Lasse Elsemüller             Enabling large-scale sensitivity analyses in amortized Bayesian inference with neural networks

Jan Failenschmid            Modeling non-linear psychological processes: Reviewing and evaluating (non‑)parametric approaches and their applicability to intensive longitudinal data

Tugba Hato                     Lévy versus Wiener: Assessing the effects of model misspecification on diffusion model parameters

Rebekka Kupffer             Investigating the validity of indices to detect careless responding in multidimensional forced-choice questionnaires

Ulrich Lösener                Bayesian sample size determination for longitudinal trials with attrition

Katja Pollak                     Testing the convergent validity of the non-decision time parameter of the diffusion model

Khadiga Sayed               The analysis of randomized response “ever” and “last year” questions: A non- saturated multinomial model

Nicola Schneider             Developing a reinforcement learning-drift diffusion model for probabilistic decision making. A simulation study

Timo Seitz                      “How would you fake?”: Disentangling qualitatively different faking tendencies through mixture IRT modeling

Lisette Sibbald                Identifying predictive risk factors of postpartum depression: A machine learning approach

Tian Zhou                       Cognitive motor interference and aging: An analysis plan for the GAITRite database

Daniel W. Heck (University of Marburg): Cognitive and psychometric modeling of truth judgments

Factual statements are more likely to be judged as true when they are presented repeatedly. This repetition-based truth effect has been replicated many times, yet formal statistical models explaining the effect are still scarce. In order to address this, I outline different cognitive and psychometric modeling approaches for truth judgments. I highlight the benefits of precise mathematical equations instead of simulation-based models for testing theories about the moderating role of the plausibility of statements. The importance of model identifiability, auxiliary assumptions, and validation studies is illustrated in the context of competing multinomial processing tree models of the truth effect. In certain settings, such as fact checking, the actual truth status of statements may not be known. I show how cultural-consensus models provide a psychometric solution for estimating both the statements' truth status and the participants' expertise.

SMiP Best Paper Award 2023 / 2024

Elsemüller, L., Schnuerch, M., Bürkner, P.-C., & Radev, S. T. (2024). A deep learning method for comparing Bayesian hierarchical models. Psychological Methods.

SMiP Best Presentation Award

Killisch, J. (2024). Constructing multidimensional forced-choice tests using social desirability rankings. Talk given at the SMiP IOPS Summer Conference 2024, Mannheim.

SMiP Best Poster Award

Seitz, T. (2024). “How would you fake?”: Disentangling qualitatively different faking tendencies through mixture IRT modeling. Poster presented at the SMiP IOPS Summer Conference 2024, Mannheim.