Jamovi Explained

jamovi
jamovi
Repo:Jamovi Github page
Programming Language:C++, R, JavaScript, Python
Operating System:Microsoft Windows, Mac OS X, Linux, and ChromeOS
Genre:Statistics
License:GNU Affero General Public License and GNU General Public License

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.[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. If data are changed, all calculations and analyses affected by the change are automatically updated. The software includes a multinomial test to determine whether observed data differs from researchers' predictions.[8]

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. [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, power analysis,[17] psychometrics,[18] structural equation models,[19] survival analysis,[20] and likelihood/evidential analyses.[21] [22]

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 [23]

See also

External links

Notes and References

  1. Web site: Edelsbrunner . Peter . 2017-03-23 . Introducing jamovi: Free and Open Statistical Software Combining Ease of Use with the Power of R . 2022-05-28 . JEPS Bulletin . en-US.
  2. Book: Richardson . Paul . Jamovi for psychologists . Machan . Laura . 2021 . Laura MacHan . 978-1-352-01185-2 . 1st . London . en . 1247685958.
  3. Book: Kamden K. Strunk . Mwarumba Mwavita . Design and analysis in educational research using Jamovi: ANOVA designs . 2021 . Routledge . Abingdon, Oxon . 9780367723088 . 20 September 2022 . en.
  4. Book: Hayhoe . George F. . A Research Primer for Technical Communication: Methods, Exemplars, and Analyses . Brewer . Pam Estes . 2020-09-10 . Routledge . 978-1-000-17775-6 . en.
  5. Book: Richardson . Paul . Jamovi for Psychologists . Machan . Laura . 2021-03-21 . Bloomsbury Publishing . 978-1-350-92876-3 . en.
  6. Book: Brysbaert, Marc . Basic Statistics for Psychologists . 2019-10-05 . Bloomsbury Publishing . 978-1-137-60747-8 . 494 . en.
  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 . 10.21449/ijate.661803 . 213495330 . 2148-7456. free .
  8. Book: Leppink, Jimmie . Statistical Methods for Experimental Research in Education and Psychology . 2019-05-30 . Springer . 978-3-030-21241-4 . 97–101 . en.
  9. Davis, C. (ed.) (2019) Statistical testing with jamovi and JASP open source software Psychology. Vor Press.
  10. Web site: Module Development for jamovi . 2022-08-31 . www.serdarbalci.com . en.
  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. Web site: jamovi library . 2022-08-31 . www.jamovi.org.
  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 . 10.21105/joss.04148 . 2022JOSS....7.4148C . 247636856 . 2475-9066. free .
  15. Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].
  16. Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].
  17. Web site: Morey . Richard . jpower . . 2022-08-22 . 2022-08-31.
  18. Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa
  19. Gallucci, Marcello & Jentschke, Sebastian
  20. Balcı . Serdar . 2022-08-30 . Open Science Framework . ClinicoPath Jamovi Module . 10.17605/OSF.IO/9SZUD.
  21. Web site: Cahusac. Peter. Calculating Log Likelihood Ratios (LLRs) using the jeva module . 2023-05-03 .
  22. Cahusac. Peter . 2023 . Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package. The R Journal . 14 . 3. 203–212 . 10.32614/RJ-2022-051. 256128278 . 2073-4859. free .
  23. jamovi. (2023). Community. Retrieved April 6, 2023, from https://www.jamovi.org/community.html

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Jamovi".

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