CV

Employment

2021 – present: Assistant Professor, Psychological Methods, University of Amsterdam
2015 – 2021: PhD Researcher, Psychological Methods, University of Amsterdam

Education

PhD in Psychological Methods, University of Amsterdam, 2021
MSc in Psychology (Psychological Methods), University of Amsterdam
BSc in Psychology, University of Amsterdam

Book

Field, A. P. & van Doorn, J. B. (2025). Discovering Statistics Using JASP. SAGE Publications. Companion website: discoverjasp.com

Skills & Expertise

Bayesian statistics and hypothesis testing
Statistical software development (JASP, R)
Open science practices
Quantitative data analysis
Teaching and curriculum development

Publications

The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test

Ly, A., Stefan, A. M., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharský, Š., Derks, K., Gronau, Q. F., Raj, A., Böhm, U., van Kesteren, E.-J.,"; et al. (2020). "The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test." Computational Brain & Behavior, 3, 153-161.

A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP

van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Chober, C., Ly, A., & Wagenmakers, E.-J. (2020). "A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP." L'Année psychologique, 120(1), 73-96.

Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman’s ρ

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2020). "Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ." Journal of Applied Statistics, 47(16), 2984-3006.

An In-Class Demonstration of Bayesian Inference

van Doorn, J., Matzke, D., & Wagenmakers, E.-J. (2019). "An In-Class Demonstration of Bayesian Inference." Psychology Learning & Teaching, 19(1), 36-45.

Multiple Perspectives on Inference for Two Simple Statistical Scenarios

van Dongen, N. N. N., van Doorn, J. B., Gronau, Q. F., van Ravenzwaaij, D., Hoekstra, R., Haucke, M. N.,"; et al. (2019). "Multiple Perspectives on Inference for Two Simple Statistical Scenarios." The American Statistician, 73(sup1), 328-339.

Bayesian estimation of Kendall’s τ using a latent normal approach

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2019). "Bayesian estimation of Kendall's τ using a latent normal approach." Statistics & Probability Letters, 145, 268-272.

Seven Easy Steps to Open Science

Crüwell, S., van Doorn, J., Etz, A.,"; et al. (2019). "Seven Easy Steps to Open Science." Zeitschrift für Psychologie, 227(4), 237-248.

Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance

Derks, K., Burger, J., van Doorn, J.,";";"; & Wagenmakers, E.-J. (2018). "Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance." Journal of Clinical Epidemiology.

Behavioural and neural evidence for self-reinforcing expectancy effects on pain

Jepma, M., Koban, L., van Doorn, J., Jones, M., & Wager, T. D. (2018). "Behavioural and neural evidence for self-reinforcing expectancy effects on pain." Nature Human Behaviour, 2, 838-855.

Bayesian Inference for Kendall’s Rank Correlation Coefficient

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2018). "Bayesian Inference for Kendall's Rank Correlation Coefficient." The American Statistician, 72(4), 303-308.

Bayesian inference for psychology. Part II: Example applications with JASP

Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E.-J., van Doorn, J., et al. (2018). "Bayesian inference for psychology. Part II: Example applications with JASP." Psychonomic Bulletin & Review, 25, 58-76.

Estimating the reproducibility of psychological science

Open Science Collaboration. (2015). "Estimating the reproducibility of psychological science." Science, 349(6251), aac4716.

Johnny van Doorn

CV