JASP Materials

JASP Manuals

Goss-Sampson, M. A. (2022). Statistical Analysis in JASP 0.16.1: A Guide for Students. March 2022. (Free PDF).

Goss-Sampson, M. A. (2020). Statistical Analysis in JASP 0.14: A Guide for Students. November 2020. (Free PDF)(Brazilian Portuguese Translation). (Data sets).

Goss-Sampson, M. A. (2020). Bayesian Inference in JASP: A Guide for Students. May 2020. (Free PDF). (Data sets).

Goss-Sampson, M. A. (2020). Statistical Analysis in JASP 0.12: A Guide for Students. April 2020. (Free PDF). (Data sets).

Goss-Sampson, M. A. (2019). Statistical Analysis in JASP 0.10.2: A Guide for Students. July 2019. (Free PDF). (Serbian Translation, Indonesian Translation).

Goss-Sampson, M. A. (2019). Statistical Analysis in JASP 0.10: A Guide for Students. June 2019. (Free PDF).

Goss-Sampson, M. A. (2018). Statistical Analysis in JASP 0.9.2: A Guide for Students. Version 2, October 2018. (Free PDF). (Bahasa Melayu Translation, Spanish Translation, Catalan Translation).

Halter, C. P. (2020). Quantitative Analysis with JASP open-source software. (Available through Amazon).

Walker, R. V., Moraine, A., Osborn, H., Black, K. J., Palmer, A., Scott, K., & Humphrey, K. (2022). Exploring Diversity with Statistics: Step-by-Step JASP Guides. (Free PDF). (Data sets).


The JASP Media Kit

The JASP media kit includes various versions of the JASP logo that you can use to refer to JASP.

Download the JASP Media Kit Download the JASP Flyer


Online Resources About JASP

Selected materials from the annual JASP workshop, with Richard Morey

Getting Started with JASP, by Lion Behrens and Rens van de Schoot

Undergraduate Statistics with JASP by Erin Buchanan & Colleagues

Finish your thesis data analysis using JASP (用JASP完成論文資料分析) by Changya Hu (In Traditional Chinese)


Books About JASP

Practical Machine Learning: No-coding, Easy and Fast Track using JASP-A Free and open source software by Dr. Prakash Kumar Udupi. (also available on the international Amazon store)

Applied data analysis in psychology: Exploring diversity with statistics by K.J. Black, J. Madden, H. Osborn, and R.V. Walker.

Conceitos e análises estatísticas com R e JASP by Luis Anunciação.

Essential Statistics for Applied Linguistics Using R or JASP (2nd ed.) by Hanneke Loerts, Wander Lowie, and Bregtje Seton.

Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners by Danielle J. Navarro, David R. Foxcroft, and Thomas J. Faulkenberry.

Research your Therapy – analyze your results – and Publish: Examples in JASP, a free and user friendly analysis tool by Gordon Emmerson.

The JASP Data Library (1st ed.) by E.-J. Wagenmakers, S. Kucharsky, and the JASP Team.

用JASP完成論文分析與寫作 (A Quick Guide on Data Analysis and Thesis Writing using JASP) by 胡昌亞、楊文芬 、游琇婷 、黃瑞傑 、鄭瑩妮 、王豫萱 、陳怡靜 、林義挺 、陳燕諭、范思美、and 黃柏僩. (Preview)

研究に役立つ JASPによるデータ分析 – 頻度論的統計とベイズ統計を用いて and 研究に役立つ JASPによる多変量解析 – 因子分析から構造方程式モデリングまで by Ko Yamamoto and Yuno Shimizu.

Papers About JASP

Submitted or under revision

van den Bergh, D., Wagenmakers, E.-J., & Aust, F. (2022). Bayesian repeated-measures ANOVA: An updated methodology implemented in JASP. Manuscript submitted for publication.

Published or in Press

Berkhout, S. W., Haaf, J. M., Gronau, Q. F., Heck, D. W., & Wagenmakers, E.-J. (2021). A tutorial on Bayesian model-averaged meta-analysis in JASP. Behavior Research Methods

Bartoš, F., Maier, M., Quintana, D. S., & Wagenmakers, E.-J. (in press). Adjusting for publication bias in JASP & R — selection models, PET-PEESE, and robust Bayesian meta-analysis. Advances in Methods and Practices in Psychological Science.

Hoffmann, T., Hofman, A., & Wagenmakers, E.-J. (in press). A tutorial on Bayesian Inference for the A/B Test with R and JASP. Methodology.

Shackman, G. (2022). Free to use statistical software: Comparing statistical analyses. SSRN Electronic Journal.

Pfadt, J. M., van den Bergh, D., Sijtsma, K., & Wagenmakers, E.-J. (2022). A tutorial on Bayesian single-test reliability analysis with JASP. Behavior Research Methods.

Derks, K., de Swart, J., Wagenmakers, E.-J., Wille, J., & Wetzels, R. (2021). JASP for audit: Bayesian tools for the auditing practice. Journal of Open Source Software, 6, 2733.

van den Bergh, D., Clyde, M. A., Raj, A., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., and Wagenmakers, E.-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods, 53, 2351-2371.

van Doorn, J., Van den Bergh, D., Boehm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28, 813-826.

Ly, A., van den Bergh, D., Bartoš, F., & Wagenmakers, E.-J. (2021). Bayesian inference with JASP. The ISBA Bulletin, 28, 7-15.

Faulkenberry, T., Ly, A., & Wagenmakers, E.-J. (2020). Bayesian inference in numerical cognition: A tutorial using JASP. Journal of Numerical Cognition, 6, 231-259.

Keysers, C., Gazzola, V., & Wagenmakers, E.-J. (2020). Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence. Nature Neuroscience, 23, 788-799.

van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020). A tutorial on conducting and interpreting a Bayesian ANOVA in JASP. L’Année Psychologique/Topics in Cognitive Psychology, 120, 73-96.

Gronau, Q. F., Ly, A., & Wagenmakers, E.-J. (2020). Informed Bayesian t-tests. The American Statistician, 74, 137-143.

Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen, A. J., Ly, A., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Wild, A., Knight, P., Rouder, J. N., Morey, R. D., & Wagenmakers, E.-J. (2019). JASP — graphical statistical software for common statistical designs. Journal of Statistical Software, 88.

Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default “Gunel and Dickey” Bayes factors for contingency tables. Behavior Research Methods, 49, 638-652.

Jamil, T., Marsman, M., Ly, A., Morey, R. D., & Wagenmakers, E.-J. (2017). What Are the Odds? Modern relevance and Bayes factor solutions for MacAlister’s problem from the 1881 Educational Times. Educational and Psychological Measurement, 77, 819-830.

Ly, A., Raj, A., Marsman, M., Etz, A., & Wagenmakers, E.-J. (2017). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 3, 367-374.

Marsman, M. & Wagenmakers, E.-J. (2017). Bayesian benefits with JASP. European Journal of Developmental Psychology, 14, 545-555.

Nuzzo, R. L. (2017). An introduction to Bayesian data analysis for correlations. PM&R, 9, 1278-1282.

Quintana, D. S., & Williams, D. R. (2018). Bayesian alternatives for common null-hypothesissignificance tests in psychiatry: A non-technicalguide using JASP. BMC Psychiatry, 18, 178.

Wagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, A. J., Love, J., Selker, R., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Rouder, J. N., Morey, R. D. (2017). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review, 25, 35-57.

Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, A. J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E.-J., van Doorn, J., Šmíra, M., Epskamp, S., Etz, A., Matzke, D., de Jong, T., van den Bergh, D., Sarafoglou, A., Steingroever, H., Derks, K., Rouder, J. N., & Morey, R. D. (2017). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25, 58-76.


Videos about JASP

This blogpost provides an overview of JASP video tutorials available on YouTube, including videos in Traditional Chinese, Malay, German, Spanish, French, and Arabic. The list also provides information about the publication year, and JASP version shown in the videos. We try to keep this list up-to-date, so please let us know if you would like to add your video to the list.


JASP Workshop Materials

The JASP team has organized many workshops to teach a broader audience about (Bayesian) statistics with JASP. The workshop materials are listed on the JASP Workshop Materials page. The OSF folder ‘Generic JASP Workshop’ contains various workshop materials that have been used in different workshops.