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Jamovi

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jamovi
Stable release
2.2.50 / 22 November 2021
Preview release
2.3.9 / 28 May 2022
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

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 were previously developers for the JASP project.[1]

Software

Jamovi is an opensource graphical user interface for R.[2] It is used in statistical research, especially as a tool to analyze variance and understand statistical inference.[3][4] Although it can be used for linear regression,[5] mixed models and Bayesian models.[6]

The software allows for descriptive statistics and their graphical display.[7] Data is entered into a spreadsheet interface similar to other statistical software programs such as SPSS and SAS,[8] and data from those programs can be imported into Jamovi.[9] The analyses produced by the software are automatically updated to reflect changes made to the raw data.[10] The software includes a multinomial test to determine whether observed data differs from researchers' predictions.[11]

Extendibility

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

References

  1. ^ 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.
  2. ^ Muenchen, Bob (2018-02-14). "jamovi for R: Easy but Controversial | r4stats.com". r4stats.com. Retrieved 2022-05-28.
  3. ^ Strunk, Kamden K.; Mwavita, Mwarumba (2021-07-29). Design and Analysis in Educational Research Using jamovi: ANOVA Designs. Routledge. ISBN 978-1-000-41407-3.
  4. ^ 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.
  5. ^ Richardson, Paul; Machan, Laura (2021-03-21). Jamovi for Psychologists. Bloomsbury Publishing. ISBN 978-1-350-92876-3.
  6. ^ Brysbaert, Marc (2019-10-05). Basic Statistics for Psychologists. Bloomsbury Publishing. p. 494. ISBN 978-1-137-60747-8.
  7. ^ Ahmed, A.A.; Muhammed, R.A. (July 1, 2021). "A Beginners Review of Jamovi Statistical Software for Economic Research". Dutse International Journal of Social and Economic Research. 6 (1) – via ResearchGate.
  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. ^ Resources, Management Association, Information (2021-06-25). Research Anthology on Usage and Development of Open Source Software. IGI Global. p. 787. ISBN 978-1-7998-9159-8.{{cite book}}: CS1 maint: multiple names: authors list (link)
  10. ^ Richardson, Paul; Machan, Laura (2021-03-21). "Preface". Jamovi for Psychologists. Bloomsbury Publishing. ISBN 978-1-350-92876-3.
  11. ^ Leppink, Jimmie (2019-05-30). Statistical Methods for Experimental Research in Education and Psychology. Springer. pp. 97–101. ISBN 978-3-030-21241-4.
  12. ^ Davis, C. (ed.) (2019) Statistical testing with jamovi and JASP open source software Psychology. Vor Press.
  13. ^ "Module Development for Jamovi". www.serdarbalci.com. Retrieved 2022-08-31.
  14. ^ 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
  15. ^ Love J (2022). jmvtools: tools to build jamovi modules. R package version 2.3.4.
  16. ^ a b "jamovi library". www.jamovi.org. Retrieved 2022-08-31.
  17. ^ 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.
  18. ^ Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].
  19. ^ Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].
  20. ^ Morey, Richard (2022-08-22), jpower, retrieved 2022-08-31
  21. ^ Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa
  22. ^ Gallucci, Marcello & Jentschke, Sebastian SEMLj: A Suite for Structural Equation Models for jamovi, semlj, 2022-08-02, retrieved 2022-08-31
  23. ^ Balcı, Serdar (2022-08-30). "ClinicoPath Jamovi Module". Open Science Framework. doi:10.17605/OSF.IO/9SZUD. {{cite journal}}: Cite journal requires |journal= (help)
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