Publications (funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - GRK 2277 "Statistical Modeling in Psychology")


Peer-reviewed journal articles

in press

Brandt, M., Zaiser, A.-K., & Schnuerch, M. (in press). Homogeneity of item material boosts the list length effect in recognition memory: A global matching perspective. Journal of Experimental Psychology: Learning, Memory, and Cognition.

Heck, D. W., Erdfelder, E., & Kieslich, P. J. (in press). Generalized Processing Tree Models: Jointly Modeling Discrete and Continuous Variables. Psychometrika.

Heck, D. W., Hoffmann, A., & Moshagen, M. (in press). Detecting nonadherence without loss in efficiency: A simple extension of the crosswise model. Behavior Research Methods. https://doi.org/10.3758/s13428-017-0957-8

Heck, D. W., Overstall, A., Gronau, Q. F., & Wagenmakers, E.-J. (in press). Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models. Statistics & Computing. Retrieved from https://arxiv.org/abs/1703.10364

Plieninger, H., & Heck, D. W. (in press). A new model for acquiescence at the interface of psychometrics and cognitive psychology. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2018.1469966

2018

Erdfelder, E. & Ulrich, R. (2018). Zur Methodologie von Replikationsstudien. (On the methodology of replication studies.) Psychologische Rundschau, 69, 3-21. https://doi.org/10.1026/0033-3042/a000387

Heck, D. W., Arnold, N. R., & Arnold, D. (2018). TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling. Behavior Research Methods, 50(1), 264–284. https://doi.org/10.3758/s13428-017-0869-7

Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85 (2), 1-29. https://doi.org/10.18637/jss.v085.i02   [Link to RRreg package on CRAN]

Heck, D. W., Thielmann, I., Moshagen, M., & Hilbig, B. E. (2018). Who lies? A large-scale reanalysis linking basic personality traits to unethical decision making. Judgment and Decision Making, 13, 356–371. Retrieved from http://journal.sjdm.org/18/18322/jdm18322.pdf

Miller, R., Scherbaum, S., Heck, D. W., Goschke, T., & Enge, S. (2018). On the relation between the (censored) shifted Wald and the Wiener distribution as measurement models for choice response times. Applied Psychological Measurement, 42(2), 116–135. https://doi.org/10.1177/0146621617710465

Ulrich, R., Miller, J., & Erdfelder, E. (2018). Effect size estimation from t statistics in the presence of publication bias: A brief review of existing approaches with some extensions. Zeitschrift für Psychologie, 226, 56-80. https://doi.org/10.1027/2151-2604/a000319


Talks

2018

Heck, D. W. (2018). A caveat on using the Savage-Dickey density ratio in regression models. Amsterdam, Netherlands: Department of Psychology (Eric-Jan Wagenmakers).

Heck, D. W. (2018). TreeBUGS: Hierarchical multinomial processing tree models in R. Tübingen, Germany: Psychoco 2018: International Workshop on Psychometric Computing

Heck, D. W., Erdfelder, E., & Kieslich, P. J. (2018). Jointly modeling mouse-trajectories and accuracies with generalized  processing trees. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.

Kukken, N. & Hütter, M. (2018). Dissociating Intentional and Unintentional Learning Effects in Evaluative Conditioning. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.

Schnuerch, M. & Erdfelder, E. (2018). Controlling statistical decision errors with minimal costs: Relative efficiency of sequential probability ratio t-tests vs. Bayesian t-tests. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.

Schnuerch, M., Heck, D. W., & Erdfelder, E. (2018). Waldian t tests: A sequential Bayes factor design for accepting and rejecting the null hypothesis with controlled error probabilities. In 2018 European Mathematical Psychology Group Meeting. Genoa, Italy.

2017

Heck, D. W., Erdfelder, E., & Kieslich, P. J. (2017). Modeling mouse-tracking trajectories with generalized processing tree models. In 50th Annual Meeting of the Society for Mathematical Psychology. Warwick, UK.

Heck, D. W., Arnold, N. R., & Arnold, D. (2017). TreeBUGS: A user-friendly software for hierarchical multinomial processing tree modeling. In Meeting of the Society of Computers in Psychology. Vancouver, BC.

Heck, D. W., & Erdfelder, E. (2017). A generalized processing tree framework for discrete-state modeling of discrete and continuous variables. In Psychonomic Society 58th Annual Meeting. Vancouver, BC.

Heck, D. W., Hilbig, B. E., & Moshagen, M. (2017). Formalizing and comparing psychologically plausible models of multiattribute decisions. In Meeting of the Society of Judgment and Decision Making. Vancouver, BC.

Heck, D. W. (2017). Extending multinomial processing tree models to response times: The case of the recognition heuristic. Max Planck Institute, Berlin, Germany: Colloquium on Adaptive Rationality (Thorsten Pachur)


Posters

Berkessel, J. & Funk, F. (2018). The Influence of Perceived Remorse on Source Memory for Faces: A Multinomial Processing Tree Approach. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.

Bott, F. & Meiser, T. (2018). Contingency Learning and Choice-Behavior Based on Self-Directed and Other-Directed Information Sampling. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.

Hartmann, R. (2018). Recovering Rasch Model Parameters when the True Latent Traits are not Normally Distributed: Comparison of Bayesian and Likelihood-Based Approaches. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.

Pessach, D. & Klauer, K. C. (2018). Base Rate Task: Not a Measure of Logical Processing. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.

Schnuerch, M., & Wulff, L. (2018). As you like it: Social value affects recognition memory. In 7. Doktorandenworkshop Allgemeine Psychologie (A-Dok). Mainz, Germany.

von Krause, M., Lerche, V., Frischkorn, G., Schubert, A.-L., & Voss, A. (2018). The diffusion model can be used to analyse slow response time tasks. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.

Voormann, A., Dittrich, K., Schimpf, N., & Klauer, K. C. (2018). Examining the mechanisms underlying the item-specific proportion congruent effect using the process dissociation procedure. In 60. Tagung experimentell arbeitender Psychologen. Marburg, Germany.