Dr. Martin Schnuerch

• Research Methods
• Statistical Modeling of Psychological Processes
• Social Cognition

• 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”

Schnuerch, M., Haaf, J. M., Sarafoglou, A., & Rouder, J. N. (in press). Meaningful comparisons with ordinal-scale items. Collabra: Psychology.

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 

Rouder, J. N., Schnuerch, M., Haaf, J. M., & Morey, R. D. (2022). Principles of model specification in ANOVA Designs. Computational Brain & Behavior. https://doi.org/10.1007/s42113-022-00132-7

Schnuerch, M., Heck, D. W., & Erdfelder, E.(2022). Waldian t tests: Sequential Bayesian t tests with controlled error probabilities. Psychological Methods, 10.1037/met0000492. Advance online publication. https://doi.org/10.1037/met0000492

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

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  

Schnuerch, M., Nadarevic, L., & Rouder, J. N. (2020). The truth revisited: Bayesian analysis of individual differences in the truth effect. Psychonomic Bulletin & Review.

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://dx.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.

Schnuerch, S. (2021). Beyond true and false – modeling individual differences in the truth effect. Talk given at the Diagnostics and Individual Differences Lab at the University of Düsseldorf, online.

Schnuerch, S. (2021). Efficient sampling using randomized response techniques part II: Sequential probability ratio tests. Talk given at the 63^rd Conference of Experimental Psychologists (TeaP), online.

Schnuerch, M. (2020). Sequential hypothesis tests in multinomial processing tree models. Talk given at the Social Psychology and Methodology Lab at the University of Freiburg, online.

Schnuerch, M. (2019). Efficient hypothesis testing with the sequential probability ratio t test. In 8th Workshop for Doctoral Students in Experimental Psychology (A-Dok), Mannheim, Germany.

Schnuerch, M. (2019). Efficiently testing sensitive attributes: A sequential randomized response technique. In 61. Tagung experimentell arbeitender Psychologen. London, UK.

Schnuerch, M. (2019). Sequential Hypothesis Tests for Multinomial Processing Tree Models. Talk given at the 34th IOPS/SMiP Summer Conference, 13–14 June 2019, 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. In 2019 European Mathematical Group Meeting, Heidelberg, Germany.

Schnuerch, M. (2019). Gender differences in casual sex: Application of a sequential randomized response analysis. Talk given at the Cognition and Perception Lab at the University of Tübingen, Tübingen, 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.

Schnuerch, M. (2018). Efficiently testing sensitive attributes: A sequential randomized response technique. Talk given at the Cognition and Perception Lab at the University of Tübingen, Tübingen, Germany.

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

Schnuerch, M., Steindorf, L., & Brandt, M. (2013). Factors influencing visual discrimination in complex geometrical configurations. In U. Ansorge, E. Kirchler, C. Lamm, & H. Leder (Eds.), Abstracts of the 55th Conference of Experimental Psychologists (p. 421). Lengerich: Pabst.

• Psychological Methods
• Psychonomic Bulletin & Review
• Behavior Research Methods
• SAGE Open.