| A many-analysts approach to the relation between religiosity and well-being S Hoogeveen, A Sarafoglou, B Aczel, Y Aditya, AJ Alayan, PJ Allen, ... Religion, Brain & Behavior 13 (3), 237-283, 2023 | 57 | 2023 |
| Controlling decision errors with minimal costs: The sequential probability ratio t test. M Schnuerch, E Erdfelder Psychological methods 25 (2), 206, 2020 | 46 | 2020 |
| The truth revisited: Bayesian analysis of individual differences in the truth effect M Schnuerch, L Nadarevic, JN Rouder Psychonomic Bulletin & Review 28 (3), 750-765, 2021 | 21 | 2021 |
| Homogeneity of item material boosts the list length effect in recognition memory: A global matching perspective. M Brandt, AK Zaiser, M Schnuerch Journal of Experimental Psychology: Learning, Memory, and Cognition 45 (5), 834, 2019 | 20 | 2019 |
| Principles of model specification in ANOVA designs JN Rouder, M Schnuerch, JM Haaf, RD Morey Computational Brain & Behavior 6 (1), 50-63, 2023 | 14 | 2023 |
| Improving the efficiency of surveys with randomized response models: A sequential approach based on curtailed sampling. F Reiber, M Schnuerch, R Ulrich Psychological Methods 27 (2), 198, 2022 | 14 | 2022 |
| Judging fast and slow: The truth effect does not increase under time-pressure conditions L Nadarevic, M Schnuerch, MJ Stegemann Judgment and Decision Making 16 (5), 1234-1266, 2021 | 11 | 2021 |
| Sequential hypothesis tests for multinomial processing tree models M Schnuerch, E Erdfelder, DW Heck Journal of Mathematical Psychology 95, 102326, 2020 | 11 | 2020 |
| Waldian t tests: Sequential Bayesian t tests with controlled error probabilities. M Schnuerch, DW Heck, E Erdfelder Psychological Methods, 2022 | 10 | 2022 |
| Assessing and correcting for regression toward the mean in deviance-induced social conformity R Schnuerch, M Schnuerch, H Gibbons Frontiers in Psychology 6, 138245, 2015 | 10 | 2015 |
| Predictors of focal to bilateral tonic‐clonic seizures during long‐term video‐EEG monitoring MC Pensel, M Schnuerch, CE Elger, R Surges Epilepsia 61 (3), 489-497, 2020 | 7 | 2020 |
| A deep learning method for comparing bayesian hierarchical models L Elsemüller, M Schnuerch, PC Bürkner, ST Radev arXiv preprint arXiv:2301.11873, 2023 | 6 | 2023 |
| Meaningful comparisons with ordinal-scale items M Schnuerch, JM Haaf, A Sarafoglou, JN Rouder Collabra: Psychology 8 (1), 38594, 2022 | 6 | 2022 |
| On the efficiency of the independent segments procedure: A direct comparison with sequential probability ratio tests. E Erdfelder, M Schnuerch American Psychological Association 26 (4), 501, 2021 | 6 | 2021 |
| On aggregation invariance of multinomial processing tree models E Erdfelder, JQ Pütter, M Schnuerch PsyArXiv, 2023 | 2 | 2023 |
| Bayes factors for mixed models: A discussion J van Doorn, JM Haaf, AM Stefan, EJ Wagenmakers, GE Cox, ... Computational Brain & Behavior 6 (1), 140-158, 2023 | 1 | 2023 |
| Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application L Schumacher, M Schnuerch, A Voss, ST Radev arXiv preprint arXiv:2401.08626, 2023 | | 2023 |
| Multinomial Processing Tree Modeling of Feature Binding in Long-Term Memory: Experiment 3 M Schnuerch, M Schreiner OSF, 2023 | | 2023 |
| Sequential Analysis of Variance: Increasing Efficiency of Hypothesis Testing M Steinhilber, M Schnuerch, AL Schubert PsyArXiv, 2023 | | 2023 |
| Building the study M Schnuerch, E Erdfelder Cambridge University Press, 2023 | | 2023 |
Edgar ErdfelderProfessor of Cognitive Psychology, University of Mannheim, GermanyVerified email at uni-mannheim.de
