JASP Materials

JASP Manuals

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

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. (2018). Exploring Statistical Analysis Using JASP: Volume Three Frequentist & Bayesian Approaches . (Available through Amazon).

 

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

 

Papers About JASP

Gronau, Q. F., Ly, A., & Wagenmakers, E.-J. (in press). Informed Bayesian t-tests. The American Statistician.

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.

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.

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. DOI: https://doi.org/10.1016/j.pmrj.2017.11.003

Quintana, D. S., & Williams, D. R. (2018). Bayesian alternatives for common null-hypothesissignificance tests in psychiatry: A non-technicalguide using JASP. BMC Psychiatry, 2018 (18), 178. doi: 10.1186/s12888-018-1761-4. (Open Access).

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. (2018). 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. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25, 58-76. (Preprint).
 

Books About JASP

Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners is a free textbook by Danielle J. Navarro, David R. Foxcroft, and Thomas J. Faulkenberry that covers the basics of statistical inference with JASP.

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

 

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.