Jamovi

Last updated
jamovi
Stable release
2.7.6 [1]   OOjs UI icon edit-ltr-progressive.svg / 25 August 2025;2 days ago (25 August 2025)
Repository Jamovi Github page
Written in C++, R, JavaScript, Python
Operating system Microsoft Windows, macOS, Linux, ChromeOS
Available inCatalan, Danish, German, English, Spanish, French, Italian, Japanese, Kazakh, Nynorsk, Bokmål, Polish, Portuguese, Russian, Swedish, Ukrainian, Simplified Chinese, Classical Chinese
Type Statistics
License GNU Affero General Public License and GNU General Public License
Website www.jamovi.org

jamovi (stylised in all lower-case) is a free and open-source computer program for data analysis and performing statistical tests. The core developers of jamovi are Jonathon Love, Damian Dropmann, and Ravi Selker, who were developers for the JASP project. [2]

Contents

Software

jamovi is an open source graphical user interface for the R programming language. [3] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [4] [5] It also can be used for linear regression, [6] mixed models and Bayesian models. [7]

Data is entered into a spreadsheet interface [8] that can be imported into jamovi. If data are changed, all calculations and analyses affected by the change are automatically updated. [6] The software includes a multinomial test to determine whether observed data differs from researchers' predictions. [9]

Extendibility

jamovi comes with a basic library of statistical and graphical procedures. In addition, users can install modules from a library of community created open source add-on modules to extend the package's capabilities. [10] [11] These modules are written in the R programming language and make use of the jmv [12] and jmvtools [13] libraries to create the interface and display code. Numerous modules exist and can be accessed in the curated library within jamovi. Over 40 modules [14] have been created by the jamovi community and extend the functionality of the program. These additional analyses include agreement and reliability analyses [15] mediation models, [16] [17] meta-analysis, [14] power analysis, [18] psychometrics, [19] structural equation models, [20] survival analysis, [21] and likelihood/evidential analyses. [22] [23]

Documentation

A detailed user manual is available for jamovi. Third party learning resources are also available including free books and video tutorials in multiple languages including Chinese, Hindi, Spanish, Korean, and Malayalam [24]

See also

References

  1. ↑ "Release Notes" . Retrieved 26 August 2025.
  2. ↑ Edelsbrunner, Peter (2017-03-23). "Introducing jamovi: Free and Open Statistical Software Combining Ease of Use with the Power of R". JEPS Bulletin. Retrieved 2022-05-28.
  3. ↑ Richardson, Paul; Machan, Laura (2021). Jamovi for psychologists. Laura MacHan (1st ed.). London. ISBN   978-1-352-01185-2. OCLC   1247685958.{{cite book}}: CS1 maint: location missing publisher (link)
  4. ↑ Kamden K. Strunk; Mwarumba Mwavita (2021). Design and analysis in educational research using Jamovi: ANOVA designs. Abingdon, Oxon: Routledge. ISBN   9780367723088 . Retrieved 20 September 2022.
  5. ↑ Hayhoe, George F.; Brewer, Pam Estes (2020-09-10). A Research Primer for Technical Communication: Methods, Exemplars, and Analyses. Routledge. ISBN   978-1-000-17775-6.
  6. 1 2 Richardson, Paul; Machan, Laura (2021-03-21). Jamovi for Psychologists. Bloomsbury Publishing. ISBN   978-1-350-92876-3.
  7. ↑ Brysbaert, Marc (2019-10-05). Basic Statistics for Psychologists. Bloomsbury Publishing. p. 494. ISBN   978-1-137-60747-8.
  8. ↑ Şahin, Murat; Aybek, Eren (2019-12-20). "Jamovi: An Easy to Use Statistical Software for the Social Scientists". International Journal of Assessment Tools in Education. 6 (4): 670–692. doi: 10.21449/ijate.661803 . ISSN   2148-7456. S2CID   213495330.
  9. ↑ Leppink, Jimmie (2019-05-30). Statistical Methods for Experimental Research in Education and Psychology. Springer. pp. 97–101. ISBN   978-3-030-21241-4.
  10. ↑ Davis, C. (ed.) (2019) Statistical testing with jamovi and JASP open source software Psychology. Vor Press.
  11. ↑ "Module Development for jamovi". www.serdarbalci.com. Retrieved 2022-08-31.
  12. ↑ Selker R, Love J, Dropmann D, Moreno V (2022). jmv: The 'jamovi' Analyses. R package version 2.3.4, https://CRAN.R-project.org/package=jmv
  13. ↑ Love J (2022). jmvtools: tools to build jamovi modules. R package version 2.3.4.
  14. 1 2 "jamovi library". www.jamovi.org. Retrieved 2022-08-31.
  15. ↑ Caldwell, Aaron R. (2022-03-22). "SimplyAgree: An R package and jamovi Module for Simplifying Agreement and Reliability Analyses". Journal of Open Source Software. 7 (71): 4148. Bibcode:2022JOSS....7.4148C. doi: 10.21105/joss.04148 . ISSN   2475-9066. S2CID   247636856.
  16. ↑ Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].
  17. ↑ Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].
  18. ↑ Morey, Richard (2022-08-22). "jpower". GitHub . Retrieved 2022-08-31.
  19. ↑ Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa
  20. ↑ Gallucci, Marcello & Jentschke, Sebastian SEMLj: A Suite for Structural Equation Models for jamovi, semlj, 2022-08-02, retrieved 2022-08-31
  21. ↑ Balcı, Serdar (2022-08-30). "ClinicoPath Jamovi Module". Open Science Framework. doi:10.17605/OSF.IO/9SZUD.{{cite journal}}: Cite journal requires |journal= (help)
  22. ↑ Cahusac, Peter. "Calculating Log Likelihood Ratios (LLRs) using the jeva module" . Retrieved 2023-05-03.
  23. ↑ Cahusac, Peter (2023). "Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package". The R Journal. 14 (3): 203–212. doi: 10.32614/RJ-2022-051 . ISSN   2073-4859. S2CID   256128278.
  24. ↑ jamovi. (2023). Community. Retrieved April 6, 2023, from https://www.jamovi.org/community.html
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