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”

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

Erdfelder, E., & Schnuerch, M. (in press). On the efficiency of the independent segments procedure. A direct comparison with sequential probability ratio tests. Psychological Methods.

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

Reiber, F., Schnuerch, M., & Ulrich, R. (2020). Improving the efficiency of surveys with randomized response models: A sequential approach based on curtailed sampling. Psychological Methods. https://doi.org/10.1037/met0000353

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.

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, 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. & 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., & Wulff, L. (2018, July 12–15). As you like it: Social value affects recognition memory [Poster presentation].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.