Maarten Marsman
Cited by
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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
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
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
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
Bayesian benefits with JASP
M Marsman, EJ Wagenmakers
European Journal of Developmental Psychology 14 (5), 545-555, 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
A tutorial on Fisher information
A Ly, M Marsman, J Verhagen, RPPP Grasman, EJ Wagenmakers
Journal of Mathematical Psychology 80, 40-55, 2017
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
Estimating psychopathological networks: Be careful what you wish for
S Epskamp, J Kruis, M Marsman
PLoS One 12 (6), e0179891, 2017
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
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
Analytic posteriors for Pearson's correlation coefficient
A Ly, M Marsman, EJ Wagenmakers
Statistica Neerlandica 72 (1), 4-13, 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
Network models for cognitive development and intelligence
HLJ Van Der Maas, KJ Kan, M Marsman, CE Stevenson
Journal of Intelligence 5 (2), 16, 2017
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
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
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
Bayesian Inference for Kendall’s Rank Correlation Coefficient
J van Doorn, A Ly, M Marsman, EJ Wagenmakers
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
Replication Bayes Factors from Evidence Updating
A Ly, A Etz, M Marsman, EJ Wagenmakers
Behavior Research Methods 51, 2498-2508, 2019
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