Jamovi

Jamovi (stylized in all lower-case as jamovi) 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 are developers for the JASP project.[2] Jamovi is a fork of JASP[3]

jamovi
Stable release
2.4.8 / August 24, 2023 (2023-08-24)[1]
RepositoryJamovi Github page
Written inC++, R, JavaScript
Operating systemMicrosoft Windows, Mac OS X, Linux, and ChromeOS
TypeStatistics
LicenseGNU Affero General Public License and GNU General Public License
Websitewww.jamovi.org

Software

Jamovi is an open source graphical user interface for the R programming language.[4] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference.[5][6] It also can be used for linear regression,[7] mixed models and Bayesian models.[8]

Data is entered into a spreadsheet interface[9] that can be imported into Jamovi. The analyses produced by the software are automatically updated to reflect changes made to the raw data.[7] The software includes a multinomial test to determine whether observed data differs from researchers' predictions.[10]

Extendibility

Users can modify the base program and extend its functionality using community created open source add-on modules.[11][12] These modules are written in the R programming language and make use of the jmv[13] and jmvtools[14] libraries to create the interface and display code. Numerous modules exist and can be accessed in the curated library within jamovi. Over 40 modules[15] have been created by the jamovi community and extend the functionality of the program. These additional analyses include agreement and reliability analyses[16] mediation models,[17][18] meta-analysis,[15] power analysis,[19] psychometrics,[20] structural equation models,[21] survival analysis,[22] and likelihood/evidential analyses.[23] [24]

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 [25]

See also
Wikiversity has learning resources about Jamovi

References
  1. "Release notes - jamovi".
  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. "Introducing jamovi: Free and Open Statistical Software Combining Ease of Use with the Power of R". 23 March 2017.
  4. 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)
  5. 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.
  6. 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.
  7. Richardson, Paul; Machan, Laura (2021-03-21). Jamovi for Psychologists. Bloomsbury Publishing. ISBN 978-1-350-92876-3.
  8. Brysbaert, Marc (2019-10-05). Basic Statistics for Psychologists. Bloomsbury Publishing. p. 494. ISBN 978-1-137-60747-8.
  9. 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.
  10. Leppink, Jimmie (2019-05-30). Statistical Methods for Experimental Research in Education and Psychology. Springer. pp. 97–101. ISBN 978-3-030-21241-4.
  11. Davis, C. (ed.) (2019) Statistical testing with jamovi and JASP open source software Psychology. Vor Press.
  12. "Module Development for Jamovi". www.serdarbalci.com. Retrieved 2022-08-31.
  13. 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
  14. Love J (2022). jmvtools: tools to build jamovi modules. R package version 2.3.4.
  15. "jamovi library". www.jamovi.org. Retrieved 2022-08-31.
  16. 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.
  17. Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].
  18. Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].
  19. Morey, Richard (2022-08-22). "jpower". GitHub. Retrieved 2022-08-31.
  20. Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa
  21. Gallucci, Marcello & Jentschke, Sebastian SEMLj: A Suite for Structural Equation Models for jamovi, semlj, 2022-08-02, retrieved 2022-08-31
  22. Balcı, Serdar (2022-08-30). "ClinicoPath Jamovi Module". Open Science Framework. doi:10.17605/OSF.IO/9SZUD. {{cite journal}}: Cite journal requires |journal= (help)
  23. Cahusac, Peter. "Calculating Log Likelihood Ratios (LLRs) using the jeva module". Retrieved 2023-05-03.
  24. 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.
  25. jamovi. (2023). Community. Retrieved April 6, 2023, from https://www.jamovi.org/community.html
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