| Bayesian inference for psychology. Part II: Example applications with JASP EJ Wagenmakers, J Love, M Marsman, T Jamil, A Ly, J Verhagen, ... Psychonomic Bulletin & Review 25 (1), 58-76, 2018 | 1377 | 2018 |
| Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications EJ Wagenmakers, M Marsman, T Jamil, A Ly, J Verhagen, J Love, ... Psychonomic bulletin & review 25 (1), 35-57, 2018 | 1265 | 2018 |
| The JASP guidelines for conducting and reporting a Bayesian analysis J van Doorn, D van den Bergh, U Böhm, F Dablander, K Derks, T Draws, ... Psychonomic Bulletin & Review 28, 813-826, 2021 | 538 | 2021 |
| JASP: Graphical statistical software for common statistical designs J Love, R Selker, M Marsman, T Jamil, D Dropmann, J Verhagen, A Ly, ... Journal of Statistical Software 88, 1-17, 2019 | 433 | 2019 |
| Harold Jeffreys’s default Bayes factor hypothesis tests: Explanation, extension, and application in psychology A Ly, J Verhagen, EJ Wagenmakers Journal of Mathematical Psychology 72, 19-32, 2016 | 344 | 2016 |
| JASP J Team [Computer software](Version 0.14.1), 2018 | 334* | 2018 |
| A tutorial on bridge sampling QF Gronau, A Sarafoglou, D Matzke, A Ly, U Boehm, M Marsman, ... Journal of mathematical psychology 81, 80-97, 2017 | 242 | 2017 |
| A tutorial on Fisher information A Ly, M Marsman, J Verhagen, RPPP Grasman, EJ Wagenmakers Journal of Mathematical Psychology 80, 40-55, 2017 | 213 | 2017 |
| A tutorial on conducting and interpreting a Bayesian ANOVA in JASP D van den Bergh, J Van Doorn, M Marsman, T Draws, EJ Van Kesteren, ... LAnnee psychologique 120 (1), 73-96, 2020 | 194 | 2020 |
| Analytic posteriors for Pearson's correlation coefficient A Ly, M Marsman, EJ Wagenmakers Statistica Neerlandica 72 (1), 4-13, 2018 | 182 | 2018 |
| Informed Bayesian t-tests QF Gronau, A Ly, EJ Wagenmakers The American Statistician, 2019 | 153 | 2019 |
| Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. JF Landy, ML Jia, IL Ding, D Viganola, W Tierney, A Dreber, ... Psychological Bulletin 146 (5), 451, 2020 | 135 | 2020 |
| The need for Bayesian hypothesis testing in psychological science EJ Wagenmakers, J Verhagen, A Ly, D Matzke, H Steingroever, J Rouder, ... Psychological Science Under Scrutiny: Recent Challenges and Proposed Solutions, 0 | 134* | |
| How to quantify the evidence for the absence of a correlation EJ Wagenmakers, J Verhagen, A Ly Behavior research methods 48, 413-426, 2016 | 130 | 2016 |
| Default “Gunel and Dickey” Bayes factors for contingency tables T Jamil, A Ly, RD Morey, J Love, M Marsman, EJ Wagenmakers Behavior Research Methods 49, 638-652, 2017 | 127 | 2017 |
| The pipeline project: Pre-publication independent replications of a single laboratory's research pipeline M Schweinsberg, N Madan, M Vianello, SA Sommer, J Jordan, W Tierney, ... Journal of Experimental Social Psychology 66, 55-67, 2016 | 124 | 2016 |
| Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ J van Doorn, A Ly, M Marsman, EJ Wagenmakers Journal of Applied Statistics 47 (16), 2984-3006, 2020 | 104* | 2020 |
| Bayesian inference for Kendall’s rank correlation coefficient J Van Doorn, A Ly, M Marsman, EJ Wagenmakers The American Statistician 72 (4), 303-308, 2018 | 104 | 2018 |
| Replication Bayes factors from evidence updating A Ly, A Etz, M Marsman, EJ Wagenmakers Behavior research methods 51, 2498-2508, 2019 | 100 | 2019 |
| Bayesian reanalyses from summary statistics: a guide for academic consumers A Ly, A Raj, A Etz, M Marsman, QF Gronau, EJ Wagenmakers Advances in Methods and Practices in Psychological Science 1 (3), 367-374, 2018 | 99 | 2018 |
Eric-Jan WagenmakersUniversity of AmsterdamVerified email at uva.nl
