Dr. Martin Schnuerch

Dr. Martin Schnuerch

Dr. Martin Schnuerch

Academic Staff Member
University of Mannheim
School of Social Sciences
B 6, 30–32 – Room 313
68159 Mannheim

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

    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.

  • Talks

    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 63rd 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.

  • Posters

    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.

  • Ad-hoc Reviewer

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