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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 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. [1]

Software

Jamovi is an open source graphical user interface for the R programming language. [2] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [3] [4] It also can be used for linear regression, [5] mixed models and Bayesian models. [6]

Data is entered into a spreadsheet interface [7] that can be imported into Jamovi. The analyses produced by the software are automatically updated to reflect changes made to the raw data. [5] The software includes a multinomial test to determine whether observed data differs from researchers' predictions. [8]

Extendibility

Users can modify the base program and extend its functionality using community created open source add-on modules.[9][10] These modules are written in the R programming language and make use of the jmv[11] and jmvtools[12] libraries to create the interface and display code. Numerous modules exist and can be accessed in the curated library within jamovi. Over 40 modules[13] have been created by the jamovi community and extend the functionality of the program. These additional analyses include agreement and reliability analyses[14] mediation models,[15][16] meta-analysis,[13] power analysis,[17] psychometrics,[18] structural equation models,[19] and survival analysis.[20]

See also

Free statistical software

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. ^ 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.
  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. ^ a b 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. ^ 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.
  8. ^ Leppink, Jimmie (2019-05-30). Statistical Methods for Experimental Research in Education and Psychology. Springer. pp. 97–101. ISBN 978-3-030-21241-4.
  9. ^ Davis, C. (ed.) (2019) Statistical testing with jamovi and JASP open source software Psychology. Vor Press.
  10. ^ "Module Development for Jamovi". www.serdarbalci.com. Retrieved 2022-08-31.
  11. ^ 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
  12. ^ Love J (2022). jmvtools: tools to build jamovi modules. R package version 2.3.4.
  13. ^ a b "jamovi library". www.jamovi.org. Retrieved 2022-08-31.
  14. ^ 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.
  15. ^ Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].
  16. ^ Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].
  17. ^ Morey, Richard (2022-08-22). "jpower". Retrieved 2022-08-31.
  18. ^ Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa
  19. ^ Gallucci, Marcello & Jentschke, Sebastian SEMLj: A Suite for Structural Equation Models for jamovi, semlj, 2022-08-02, retrieved 2022-08-31
  20. ^ 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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