Software:Jamovi

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Short description: Graphical user interface for R programming language
jamovi
Jamovi logo.png
Jamovi screenshot metaanalysis.jpg
Stable release
2.3.28 / 25 May 2023
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 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] 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

References

  1. ↑ Edelsbrunner, Peter (2017-03-23). "Introducing jamovi: Free and Open Statistical Software Combining Ease of Use with the Power of R" (in en-US). https://blog.efpsa.org/2017/03/23/introducing-jamovi-free-and-open-statistical-software-combining-ease-of-use-with-the-power-of-r/. 
  2. ↑ Richardson, Paul; Machan, Laura (2021) (in en). Jamovi for psychologists. Laura MacHan (1st ed.). London. ISBN 1-352-01185-9. OCLC 1247685958. https://www.worldcat.org/oclc/1247685958. 
  3. ↑ Kamden K. Strunk; Mwarumba Mwavita (2021) (in en). Design and analysis in educational research using Jamovi: ANOVA designs. Abingdon, Oxon: Routledge. ISBN 9780367723088. https://www.routledge.com/Design-and-Analysis-in-Educational-Research-Using-jamovi-ANOVA-Designs/Strunk-Mwavita/p/book/9780367723088. Retrieved 20 September 2022. 
  4. ↑ Hayhoe, George F.; Brewer, Pam Estes (2020-09-10) (in en). A Research Primer for Technical Communication: Methods, Exemplars, and Analyses. Routledge. ISBN 978-1-000-17775-6. https://books.google.com/books?id=vvj2DwAAQBAJ&dq=Jamovi&pg=PT83. 
  5. ↑ 5.0 5.1 Richardson, Paul; Machan, Laura (2021-03-21) (in en). Jamovi for Psychologists. Bloomsbury Publishing. ISBN 978-1-350-92876-3. https://books.google.com/books?id=S3FdEAAAQBAJ&q=linear+regression. 
  6. ↑ Brysbaert, Marc (2019-10-05) (in en). Basic Statistics for Psychologists. Bloomsbury Publishing. pp. 494. ISBN 978-1-137-60747-8. https://books.google.com/books?id=Ex1HEAAAQBAJ&dq=Jamovi&pg=PA494. 
  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. https://dergipark.org.tr/en/doi/10.21449/ijate.661803. 
  8. ↑ Leppink, Jimmie (2019-05-30) (in en). Statistical Methods for Experimental Research in Education and Psychology. Springer. pp. 97–101. ISBN 978-3-030-21241-4. https://books.google.com/books?id=JOqaDwAAQBAJ&q=Statistical+testing+with+jamovi+and+JASP+open+source+software+Psychology. 
  9. ↑ Davis, C. (ed.) (2019) Statistical testing with jamovi and JASP open source software Psychology. Vor Press.
  10. ↑ "Module Development for Jamovi" (in en). https://www.serdarbalci.com/ClinicoPathJamoviModule/articles/module_development_jamovi.html. 
  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. ↑ 13.0 13.1 "jamovi library". https://www.jamovi.org/library.html. 
  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. doi:10.21105/joss.04148. ISSN 2475-9066. Bibcode: 2022JOSS....7.4148C. https://joss.theoj.org/papers/10.21105/joss.04148. 
  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". https://github.com/richarddmorey/jpower. 
  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, https://github.com/semlj/semlj, retrieved 2022-08-31 
  20. ↑ Balcı, Serdar (2022-08-30). ClinicoPath Jamovi Module. Open Science Framework. doi:10.17605/OSF.IO/9SZUD. https://osf.io/9szud/. 
  21. ↑ Cahusac, Peter. "Calculating Log Likelihood Ratios (LLRs) using the jeva module". https://blog.jamovi.org/2023/02/22/jeva.html. 
  22. ↑ 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. https://journal.r-project.org/articles/RJ-2022-051/. 
  23. ↑ jamovi. (2023). Community. Retrieved April 6, 2023, from https://www.jamovi.org/community.html




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