| Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. EJ Wagenmakers, M Marsman, T Jamil, A Ly, AJ Verhagen, J Love, ... Psychonomic Bulletin & Review 25 (1), 35–57, 2018 | 1736 | 2018 |
| 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 | 1686 | 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, 1-14, 2020 | 965 | 2020 |
| 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 (2), 2019 | 831 | 2019 |
| Bayesian benefits with JASP M Marsman, EJ Wagenmakers European Journal of Developmental Psychology 14 (5), 545-555, 2017 | 330 | 2017 |
| A tutorial on Fisher information A Ly, M Marsman, J Verhagen, RPPP Grasman, EJ Wagenmakers Journal of Mathematical Psychology 80, 40-55, 2017 | 327 | 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 | 318 | 2020 |
| 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 | 315 | 2017 |
| JASP (Version 0.7) J Love, R Selker, M Marsman, T Jamil, D Dropmann, AJ Verhagen, ... Amsterdam, The Netherlands: JASP Project. Retrieved from https:// jasp …, 2015 | 315* | 2015 |
| Estimating psychopathological networks: Be careful what you wish for S Epskamp, J Kruis, M Marsman PLoS One 12 (6), e0179891, 2017 | 300 | 2017 |
| Analytic posteriors for Pearson's correlation coefficient A Ly, M Marsman, EJ Wagenmakers Statistica Neerlandica 72 (1), 4-13, 2018 | 298 | 2018 |
| An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models. M Marsman, D Borsboom, J Kruis, S Epskamp, R van Bork, LJ Waldorp, ... Multivariate Behavioral Research 53 (1), 2018 | 294 | 2018 |
| 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 | 190 | 2020 |
| Network models for cognitive development and intelligence HLJ Van Der Maas, KJ Kan, M Marsman, CE Stevenson Journal of Intelligence 5 (2), 16, 2017 | 180 | 2017 |
| 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 | 167 | 2020 |
| 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 | 167 | 2017 |
| Cognitive bias modification for behavior change in alcohol and smoking addiction: Bayesian meta-analysis of individual participant data M Boffo, O Zerhouni, QF Gronau, RJJ van Beek, K Nikolaou, M Marsman, ... Neuropsychology review 29, 52-78, 2019 | 150 | 2019 |
| Bayesian Inference for Kendall’s Rank Correlation Coefficient J van Doorn, A Ly, M Marsman, EJ Wagenmakers | 136 | 2016 |
| 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 | 135 | 2016 |
| Replication Bayes Factors from Evidence Updating A Ly, A Etz, M Marsman, EJ Wagenmakers Behavior Research Methods 51, 2498-2508, 2019 | 130 | 2019 |
Eric-Jan WagenmakersUniversity of AmsterdamVerified email at uva.nl
