
Martin Schnuerch is the post doc of the SMiP group.
Research Areas
- Research Methods
- Statistical Modeling of Psychological Processes
- Social Cognition
Teaching (SMIP)
- Workshop „Introduction to R: Basics“
- Workshop „Introduction to R: Advanced“
- Workshop „Advanced Topics in R“
- Workshop „Evidence, Errors, and Belief: A Stroll through the Statistical Inference Maze“
- Training “Useful Software for a SMiP PhD”
Publications
Schumacher, L., Schnuerch, M., Voss, A., & Radev, S. T. (in press). Validation and comparison of non-stationary cognitive models: A diffusion model application. Computational Brain & Behavior.
Erdfelder, E., Quevedo Pütter, J. & Schnuerch, M. (2024). On aggregation invariance of multinomial processing tree models. Behavior Research Methods . Advance online publication. https://doi.org/10.3758/s13428-024-02497-y
Elsemüller, L., Schnuerch, M., Bürkner, P.-C., & Radev, S. T. (2024). A deep learning method for comparing Bayesian hierarchical models. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000645
Schmidt, B., Böhmer, J., Schnuerch, M., Michelmann, S., & Koch, T. (2024). Post-hypnotic suggestion improves confidence and speed of memory access with long-lasting effects. Acta Psychologica, 245, 104240. https://doi.org/10.1016/j.actpsy.2024.104240
Schnuerch, M., Heck, D. W., & Erdfelder, E. (2024). Waldian t tests: Sequential Bayesian t tests with controlled error probabilities. Psychological Methods, 24, 99–116. https://doi.org/10.1037/met0000492
Steinhilber, M., Schnuerch, M., & Schubert, A.-L. (2024). Sequential analysis of variance: Increasing efficiency of hypothesis testing. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000677
Hoogeveen, S., Sarafoglou, A., Aczel, B., Aditya, Y., Alayan, A. J., Allen, P. J., Altay, S., Alzahawi, S., Amir, Y., Anthony, F-V., Kwame Appiah, O., Atkinson, Q. D., Baimel, A., Balkaya-Ince, M., Balsamo, M., Banker, S., Bartoš, F., ... Schnuerch, M. ... Wagenmakers, E.-J. (2023). A many-analysts approach to the relation
between religiosity and well-being. Religion, Brain & Behavior, 13, 237–283. https://doi.org/10.1080/2153599X.2022.2070255Rouder, J. N., Schnuerch, M., Haaf, J. M., & Morey, R. D. (2023). Principles of model specification in ANOVA designs. Computational Brain & Behavior, 6, 50–63. https://doi.org/10.1007/s42113-022-00132-7
Schnuerch, M., & Erdfelder, E. (2023). Building the study. In A. L. Nichols & J. E. Edlund (Eds.), The Cambridge handbook of research methods and statistics for the social and behavioral sciences (pp. 103–124). Cambridge University Press.
van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E. -J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., ... Schnuerch, M. ... Aust, F. (2023). Bayes factors for mixed models: A discussion. Computational Brain & Behavior, 6, 140–158. https://doi.org/10.1007/s42113-022-00160-3
Schnuerch, M., Haaf, J. M., Sarafoglou, A., & Rouder, J. N. (2022). Meaningful comparisons with ordinal-scale items. Collabra: Psychology, 8, 38594. https://doi.org/10.1525/collabra.38594
Reiber, F., Schnuerch, M., & Ulrich, R.(2022). Improving the efficiency of surveys with randomized response models: A sequential approach based on curtailed sampling. Psychological Methods, 27(2), 198–211. https://doi.org/10.1037/met0000353
Erdfelder, E., & Schnuerch, M. (2021). On the efficiency of the independent segments procedure: A direct comparison with sequential probability ratio tests. Psychological methods, 26(4), 501–506. https://doi.org/10.1037/met0000404
Nadarevic, L., Schnuerch, M., & Stegemann, M. (2021). Judging fast and slow: The truth effect does not increase under time-pressure conditions. Judgment and Decision Making, 16(5), 1234-1266. https://doi.org/10.31234/osf.io/53vgc
Schnuerch, M., Nadarevic, L., & Rouder, J. N. (2021). The truth revisited: Bayesian analysis of individual differences in the truth effect. Psychonomic Bulletin & Review, 28, 750–765. https://doi.org/10.3758/s13423-020-01814-8
Pensel, M. C., Schnuerch, M., Elger, C. E., & Surges, R. (2020). Predictors of focal to bilateral tonic‐clonic seizures during long‐term video‐EEG monitoring. Epilepsia, 61(3), 489–497. https://doi.org/10.1111/epi.16454
Schnuerch, M. (2020). Improving Statistical Practice in Psychological Research: Sequential Tests of Composite Hypotheses (Doctoral Dissertation). University of Mannheim, Mannheim.
Schnuerch, M., & Erdfelder, E. (2020). Controlling decision errors with minimal costs: The sequential probability ratio t test. Psychological Methods, 25(2), 206–226. https://doi.org/10.1037/met0000234
Schnuerch, M., Erdfelder, E., & Heck, D. W. (2020). Sequential hypothesis tests for multinomial processing tree models. Journal of Mathematical Psychology, 95, 102326. http://doi.org/10.1016/j.jmp.2020.102326
Brandt, M., Zaiser, A.-K., & Schnuerch, M. (2019). Homogeneity of item material boosts the list length effect in recognition memory: A global matching perspective. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(5), 834–850. http://doi.org/10.1037/xlm0000594
Schnuerch, R., Schnuerch, M., & Gibbons, H. (2015). Assessing and correcting for regression toward the mean in deviance-induced social conformity. Frontiers in Psychology, 6, 669. https://doi.org/10.3389/fpsyg.2015.00669
Talks
Leipold, F., Schnuerch, M., & Bröder, A. (2024). Statistical properties of lens model equation parameters and their hierarchical extension. Poster presented at the 57th Annual Meeting of the Society for Mathematical Psychology, Tilburg, Netherlands.
Radev, S., Schumacher, L., Voss, A., & Schnuerch, M. (2024). Validation and comparison of non-stationary cognitive models: A diffusion model application. Talk presented at the 57th Annual Meeting of the Society for Mathematical Psychology, Tilburg, Netherlands.
Schnuerch, M. (2024). Pinocchio disassembled: Hierarchical diffusion modeling of the cognitive cost of lying. Talk presented at the 57th Annual Meeting of the Society for Mathematical Psychology, Tilburg, Netherlands.
Elsemüller, L., Schnuerch, M., Bürkner, P.-C., & Radev, S. T. (2023). Comparing Bayesian hierarchical models: A deep learning method with cognitive applications. Talk presented at the 56th Annual Meeting of the Society for Mathematical Psychology, Amsterdam, Netherlands.
Schnuerch, M., Zajdler, S., & Schumacher, L. (2023). Fading memory, waning attention: Modeling output interference with a dynamic diffusion model. Talk presented at the 56th Annual Meeting of the Society for Mathematical Psychology, Amsterdam, Netherlands.
Schnuerch, M. (2023). The truth about lies: A diffusion-model account of the cognitive cost of lying. Talk presented at the SMiP Spring Retreat, Buchenbach, Germany.
Steinhilber, M., Schubert, A.-L., & Schnuerch, M. (2023). Sequential ANOVA: An efficient alternative to fixed sample designs. Talk presented at the 56th Annual Meeting of the Society for Mathematical Psychology, Amsterdam, Netherlands.
Erdfelder, E., Quevedo Pütter, J., & Schnuerch, M. (2022). Multinomial processing tree models of cognition: Aggregation invariance properties. Talk presented at the 63rd Annual Meeting of the Psychonomic Society, Boston, USA.
Elsemüller, L., Schnuerch, M., Bürkner, P.-C., & Radev, S. T. (2022). Comparing Bayesian hierarchical models of cognition via deep learning. Talk presented at the 2022 European Mathematical Psychology Group Meeting, Rovereto, Italy.
Reiber, F., & Schnuerch, M. (2022). An empirical demonstration of the sequential maximum likelihood ratio test in a randomized response survey. Talk presented at the 52nd Congress of the German Psychological Society, Hildesheim, Germany.
Schnuerch, M., Haaf, J. M., Sarafoglou, A., & Rouder, J. N. (2022). Meaningful comparisons with ordinal-scale items. Talk presented at the 64th Conference of Experimental Psychologists (Virtual).
Schnuerch, M., & Hilbig, B. E. (2022). Sequential analysis of cheating paradigms. Talk presented at the 52nd Congress of the German Psychological Society, Hildesheim, Germany.
Steinhilber, M., Schnuerch, M., & Schubert, A.-L. (2022). Reliable scientific software development in R using the sprtt package as an example. Talk presented at UseR! 2022: The R User Conference (Virtual).
Reiber, F., Schnuerch, M., & Ulrich, R. (2021). Efficient sampling using Randomized Response Techniques Part I: Curtailed Sampling. Talk presented at the 63rd Conference of Experimental Psychologists (Virtual).
Rouder, J. N., Haaf, J. M., & Schnuerch, M. (2021). Realistic and useful model specification for within-subject ANOVA designs. Talk presented at the 62nd Annual Meeting of the Psychonomic Society (Virtual).
Schnuerch, M., Heck, D. W., & Erdfelder, E. (2021). Waldian t tests: Controlling error probabilities in sequential Bayesian t tests. Talk presented at the 15th Conference of the Section Methods and Evaluation in the German Psychological Society (Virtual).
Schnuerch, M., Reiber, F., & Ulrich, R. (2021). Efficient sampling using Randomized Response Techniques Part II: Sequential Probability Ratio Tests. Talk presented at the 63rd Conference of Experimental Psychologists (Virtual).
Schnuerch, M. (2020). Everybody truths – Or do they? Modeling individual differences
in the truth effect. Talk presented at the SMiP Summer Retreat (Virtual).Schnuerch, M. (2019). Efficient hypothesis testing with the sequential probability ratio t test. Talk presented at the 8th Workshop for Doctoral Students in Experimental Psychology (A-Dok), Mannheim, Germany.
Schnuerch, M. (2019). Efficiently testing sensitive attributes: A sequential randomized response technique. Talk presented at the 61st Conference of Experimental Psychologists, London, UK.
Schnuerch, M. (2019). Sequential hypothesis tests for multinomial processing tree models. Talk presented at the 34th IOPS Summer Conference, Utrecht, Netherlands.
Schnuerch, M., & Erdfelder, E. (2019). Efficient hypothesis tests in multinomial processing tree models: A sequential probability ratio test for the randomized response technique. Talk presented at the 2019 European Mathematical Group Meeting, Heidelberg, Germany.
Schnuerch, M. (2018). Sequential analysis of surveys with randomized response models. Talk presented at the SMiP Summer Retreat, Buchenbach, Germany.
Schnuerch, M. (2018). Sequential statistical methods in psychology. Talk presented at the SMiP Winter Retreat, St. Martin, Germany.
Schnuerch, M., & Erdfelder, E. (2018). Controlling statistical decision errors with minimal costs: Relative efficiency of sequential probability ratio tests vs. Bayesian t tests. Talk presented at the 60th Conference of Experimental Psychologists, 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. Talk presented at the 2018 European Mathematical Psychology Group Meeting, Genoa, Italy.
Posters
Zajdler, S., Schnuerch, M., & Schumacher, L. (2024). Disentangling memory interference and motivational processes: A non-stationary diffusion/
fast-guess mixture model for output interference in recognition memory. Poster presented at the 57th Annual Meeting of the Society for Mathematical Psychology, Tilburg, Netherlands. Schnuerch, M., & Schnuerch, R. (2023). What lies beneath: A diffusion-model account of the cognitive cost of lying. Poster presented at the 64th Annual Meeting of the Psychonomic Society, San Francisco, USA.
Fischer, J., Schnuerch, M., & Schreiner, M. (2022). Multinomial processing tree modeling of feature binding in long-term memory. Poster presented at the 64th Conference of Experimental Psychologists (Virtual).
Schnuerch, M., Nadarevic, L, & Rouder, J. N. (2021). Qualitative individual differences in the truth effect. Poster presented at the 62nd Annual Meeting of the Psychonomic
Society (Virtual).Schnuerch, M., & Wulff, L. (2018). As you like it: Social value affects recognition memory. Poster presented at the 7th Workshop for Doctoral Students in Experimental Psychology (A-Dok), Mainz, Germany.
Ad-hoc Reviewer
- Psychological Methods
- Psychonomic Bulletin & Review
- Behavior Research Methods
- SAGE Open.