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'''Jamovi''' (stylized in all lower-case as '''jamovi''') is a [[Free and open-source software|free and open-source]] computer program for [[data analysis]] and performing [[Statistics|statistical]] tests. The core developers of Jamovi are Jonathon Love, Damian Dropmann, and Ravi Selker who are developers for the [[JASP]] project.<ref>{{Cite web |last=Edelsbrunner |first=Peter |date=2017-03-23 |title=Introducing jamovi: Free and Open Statistical Software Combining Ease of Use with the Power of R |url=https://blog.efpsa.org/2017/03/23/introducing-jamovi-free-and-open-statistical-software-combining-ease-of-use-with-the-power-of-r/ |access-date=2022-05-28 |website=JEPS Bulletin |language=en-US}}</ref> Jamovi is a fork of [[JASP]]<ref>https://blog.efpsa.org/2017/03/23/introducing-jamovi-free-and-open-statistical-software-combining-ease-of-use-with-the-power-of-r/</ref>
'''Jamovi''' (stylized in all lower-case as '''jamovi''') is a [[Free and open-source software|free and open-source]] computer program for [[data analysis]] and performing [[Statistics|statistical]] tests. The core developers of Jamovi are Jonathon Love, Damian Dropmann, and Ravi Selker who are developers for the [[JASP]] project.<ref>{{Cite web |last=Edelsbrunner |first=Peter |date=2017-03-23 |title=Introducing jamovi: Free and Open Statistical Software Combining Ease of Use with the Power of R |url=https://blog.efpsa.org/2017/03/23/introducing-jamovi-free-and-open-statistical-software-combining-ease-of-use-with-the-power-of-r/ |access-date=2022-05-28 |website=JEPS Bulletin |language=en-US}}</ref> Jamovi is a fork of [[JASP]]<ref>{{cite web | url=https://blog.efpsa.org/2017/03/23/introducing-jamovi-free-and-open-statistical-software-combining-ease-of-use-with-the-power-of-r/ | title=Introducing jamovi: Free and Open Statistical Software Combining Ease of Use with the Power of R | date=23 March 2017 }}</ref>


== Software ==
== Software ==
Jamovi is an open source [[graphical user interface]] for the [[R (programming language)|R programming language]].<ref>{{Cite book |last=Richardson |first=Paul |url=https://www.worldcat.org/oclc/1247685958 |title=Jamovi for psychologists |last2=Machan |first2=Laura |date=2021 |others=Laura MacHan |isbn=1-352-01185-9 |edition=1st |location=London |language=en |oclc=1247685958}}</ref> It is used in statistical research, especially as a tool for [[Analysis of variance|ANOVA (analysis of variance)]] and to understand [[statistical inference]].<ref>{{cite book |author1=Kamden K. Strunk |author2=Mwarumba Mwavita |title=Design and analysis in educational research using Jamovi: ANOVA designs |date=2021 |publisher=Routledge |location=Abingdon, Oxon |isbn=9780367723088 |url=https://www.routledge.com/Design-and-Analysis-in-Educational-Research-Using-jamovi-ANOVA-Designs/Strunk-Mwavita/p/book/9780367723088 |access-date=20 September 2022 |language=en}}</ref><ref>{{Cite book |last1=Hayhoe |first1=George F. |url=https://books.google.com/books?id=vvj2DwAAQBAJ&dq=Jamovi&pg=PT83 |title=A Research Primer for Technical Communication: Methods, Exemplars, and Analyses |last2=Brewer |first2=Pam Estes |date=2020-09-10 |publisher=Routledge |isbn=978-1-000-17775-6 |language=en}}</ref> It also can be used for [[linear regression]],<ref name="bloompsych">{{Cite book |last1=Richardson |first1=Paul |url=https://books.google.com/books?id=S3FdEAAAQBAJ&q=linear+regression |title=Jamovi for Psychologists |last2=Machan |first2=Laura |date=2021-03-21 |publisher=Bloomsbury Publishing |isbn=978-1-350-92876-3 |language=en}}</ref> [[Mixed model|mixed models]] and [[Bayesian models]].<ref>{{Cite book |last=Brysbaert |first=Marc |url=https://books.google.com/books?id=Ex1HEAAAQBAJ&dq=Jamovi&pg=PA494 |title=Basic Statistics for Psychologists |date=2019-10-05 |publisher=Bloomsbury Publishing |isbn=978-1-137-60747-8 |pages=494 |language=en}}</ref>
Jamovi is an open source [[graphical user interface]] for the [[R (programming language)|R programming language]].<ref>{{Cite book |last1=Richardson |first1=Paul |url=https://www.worldcat.org/oclc/1247685958 |title=Jamovi for psychologists |last2=Machan |first2=Laura |date=2021 |others=Laura MacHan |isbn=978-1-352-01185-2 |edition=1st |location=London |language=en |oclc=1247685958}}</ref> It is used in statistical research, especially as a tool for [[Analysis of variance|ANOVA (analysis of variance)]] and to understand [[statistical inference]].<ref>{{cite book |author1=Kamden K. Strunk |author2=Mwarumba Mwavita |title=Design and analysis in educational research using Jamovi: ANOVA designs |date=2021 |publisher=Routledge |location=Abingdon, Oxon |isbn=9780367723088 |url=https://www.routledge.com/Design-and-Analysis-in-Educational-Research-Using-jamovi-ANOVA-Designs/Strunk-Mwavita/p/book/9780367723088 |access-date=20 September 2022 |language=en}}</ref><ref>{{Cite book |last1=Hayhoe |first1=George F. |url=https://books.google.com/books?id=vvj2DwAAQBAJ&dq=Jamovi&pg=PT83 |title=A Research Primer for Technical Communication: Methods, Exemplars, and Analyses |last2=Brewer |first2=Pam Estes |date=2020-09-10 |publisher=Routledge |isbn=978-1-000-17775-6 |language=en}}</ref> It also can be used for [[linear regression]],<ref name="bloompsych">{{Cite book |last1=Richardson |first1=Paul |url=https://books.google.com/books?id=S3FdEAAAQBAJ&q=linear+regression |title=Jamovi for Psychologists |last2=Machan |first2=Laura |date=2021-03-21 |publisher=Bloomsbury Publishing |isbn=978-1-350-92876-3 |language=en}}</ref> [[Mixed model|mixed models]] and [[Bayesian models]].<ref>{{Cite book |last=Brysbaert |first=Marc |url=https://books.google.com/books?id=Ex1HEAAAQBAJ&dq=Jamovi&pg=PA494 |title=Basic Statistics for Psychologists |date=2019-10-05 |publisher=Bloomsbury Publishing |isbn=978-1-137-60747-8 |pages=494 |language=en}}</ref>


Data is entered into a spreadsheet interface<ref>{{Cite journal |last1=Şahin |first1=Murat |last2=Aybek |first2=Eren |date=2019-12-20 |title=Jamovi: An Easy to Use Statistical Software for the Social Scientists |url=https://dergipark.org.tr/en/doi/10.21449/ijate.661803 |journal=International Journal of Assessment Tools in Education |volume=6 |issue=4 |pages=670–692 |doi=10.21449/ijate.661803 |s2cid=213495330 |issn=2148-7456}}</ref> that can be imported into Jamovi. The analyses produced by the software are automatically updated to reflect changes made to the raw data.<ref name="bloompsych" /> The software includes a [[multinomial test]] to determine whether observed data differs from researchers' predictions.<ref>{{Cite book |last=Leppink |first=Jimmie |url=https://books.google.com/books?id=JOqaDwAAQBAJ&q=Statistical+testing+with+jamovi+and+JASP+open+source+software+Psychology |title=Statistical Methods for Experimental Research in Education and Psychology |date=2019-05-30 |publisher=Springer |isbn=978-3-030-21241-4 |pages=97–101 |language=en}}</ref>
Data is entered into a spreadsheet interface<ref>{{Cite journal |last1=Şahin |first1=Murat |last2=Aybek |first2=Eren |date=2019-12-20 |title=Jamovi: An Easy to Use Statistical Software for the Social Scientists |url=https://dergipark.org.tr/en/doi/10.21449/ijate.661803 |journal=International Journal of Assessment Tools in Education |volume=6 |issue=4 |pages=670–692 |doi=10.21449/ijate.661803 |s2cid=213495330 |issn=2148-7456}}</ref> that can be imported into Jamovi. The analyses produced by the software are automatically updated to reflect changes made to the raw data.<ref name="bloompsych" /> The software includes a [[multinomial test]] to determine whether observed data differs from researchers' predictions.<ref>{{Cite book |last=Leppink |first=Jimmie |url=https://books.google.com/books?id=JOqaDwAAQBAJ&q=Statistical+testing+with+jamovi+and+JASP+open+source+software+Psychology |title=Statistical Methods for Experimental Research in Education and Psychology |date=2019-05-30 |publisher=Springer |isbn=978-3-030-21241-4 |pages=97–101 |language=en}}</ref>


== Extendibility ==
== Extendibility ==
Users can modify the base program and extend its functionality using community created open source add-on modules.<ref>Davis, C. (ed.) (2019) ''Statistical testing with jamovi and JASP open source software Psychology.'' Vor Press.</ref><ref>{{Cite web |title=Module Development for Jamovi |url=https://www.serdarbalci.com/ClinicoPathJamoviModule/articles/module_development_jamovi.html |access-date=2022-08-31 |website=www.serdarbalci.com |language=en}}</ref> These modules are written in the [[R (programming language)|R programming language]] and make use of the jmv<ref>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</ref> and jmvtools<ref>Love J (2022). jmvtools: tools to build jamovi modules. R package version 2.3.4.</ref> libraries to create the interface and display code. Numerous modules exist and can be accessed in the curated library within jamovi. Over 40 modules<ref name=":0">{{Cite web |title=jamovi library |url=https://www.jamovi.org/library.html |access-date=2022-08-31 |website=www.jamovi.org}}</ref> have been created by the jamovi community and extend the functionality of the program. These additional analyses include agreement and reliability analyses<ref>{{Cite journal |last=Caldwell |first=Aaron R. |date=2022-03-22 |title=SimplyAgree: An R package and jamovi Module for Simplifying Agreement and Reliability Analyses |url=https://joss.theoj.org/papers/10.21105/joss.04148 |journal=Journal of Open Source Software |volume=7 |issue=71 |pages=4148 |doi=10.21105/joss.04148 |bibcode=2022JOSS....7.4148C |s2cid=247636856 |issn=2475-9066}}</ref> [[Mediation (statistics)|mediation models]],<ref>Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].</ref><ref>Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].</ref> [[meta-analysis]],<ref name=":0" /> [[Statistical power|power analysis]],<ref>{{cite web |last=Morey |first=Richard |title=jpower |website=[[GitHub]] |date=2022-08-22 |url=https://github.com/richarddmorey/jpower |access-date=2022-08-31}}</ref> [[psychometrics]],<ref>Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa</ref> [[structural equation models]],<ref>Gallucci, Marcello & Jentschke, Sebastian {{Citation |title=SEMLj: A Suite for Structural Equation Models for jamovi |date=2022-08-02 |url=https://github.com/semlj/semlj |publisher=semlj |access-date=2022-08-31}}</ref> [[survival analysis]],<ref>{{Cite journal |last=Balcı |first=Serdar |date=2022-08-30 |others=Open Science Framework |title=ClinicoPath Jamovi Module |url=https://osf.io/9szud/ |doi=10.17605/OSF.IO/9SZUD}}</ref> and [[Likelihoodist statistics | likelihood/evidential analyses]].<ref>{{Cite web |last=Cahusac|first=Peter| title=Calculating Log Likelihood Ratios (LLRs) using the jeva module |url=https://blog.jamovi.org/2023/02/22/jeva.html |access-date=2023-05-03 }}</ref> <ref>{{Cite journal |last=Cahusac|first=Peter |date=2023 |title=Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package|url=https://journal.r-project.org/articles/RJ-2022-051/ |journal=The R Journal |volume=14 |issue=3|pages=203-212 |doi=10.32614/RJ-2022-051|issn=2073-4859}}</ref>
Users can modify the base program and extend its functionality using community created open source add-on modules.<ref>Davis, C. (ed.) (2019) ''Statistical testing with jamovi and JASP open source software Psychology.'' Vor Press.</ref><ref>{{Cite web |title=Module Development for Jamovi |url=https://www.serdarbalci.com/ClinicoPathJamoviModule/articles/module_development_jamovi.html |access-date=2022-08-31 |website=www.serdarbalci.com |language=en}}</ref> These modules are written in the [[R (programming language)|R programming language]] and make use of the jmv<ref>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</ref> and jmvtools<ref>Love J (2022). jmvtools: tools to build jamovi modules. R package version 2.3.4.</ref> libraries to create the interface and display code. Numerous modules exist and can be accessed in the curated library within jamovi. Over 40 modules<ref name=":0">{{Cite web |title=jamovi library |url=https://www.jamovi.org/library.html |access-date=2022-08-31 |website=www.jamovi.org}}</ref> have been created by the jamovi community and extend the functionality of the program. These additional analyses include agreement and reliability analyses<ref>{{Cite journal |last=Caldwell |first=Aaron R. |date=2022-03-22 |title=SimplyAgree: An R package and jamovi Module for Simplifying Agreement and Reliability Analyses |url=https://joss.theoj.org/papers/10.21105/joss.04148 |journal=Journal of Open Source Software |volume=7 |issue=71 |pages=4148 |doi=10.21105/joss.04148 |bibcode=2022JOSS....7.4148C |s2cid=247636856 |issn=2475-9066}}</ref> [[Mediation (statistics)|mediation models]],<ref>Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].</ref><ref>Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].</ref> [[meta-analysis]],<ref name=":0" /> [[Statistical power|power analysis]],<ref>{{cite web |last=Morey |first=Richard |title=jpower |website=[[GitHub]] |date=2022-08-22 |url=https://github.com/richarddmorey/jpower |access-date=2022-08-31}}</ref> [[psychometrics]],<ref>Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa</ref> [[structural equation models]],<ref>Gallucci, Marcello & Jentschke, Sebastian {{Citation |title=SEMLj: A Suite for Structural Equation Models for jamovi |date=2022-08-02 |url=https://github.com/semlj/semlj |publisher=semlj |access-date=2022-08-31}}</ref> [[survival analysis]],<ref>{{Cite journal |last=Balcı |first=Serdar |date=2022-08-30 |others=Open Science Framework |title=ClinicoPath Jamovi Module |url=https://osf.io/9szud/ |doi=10.17605/OSF.IO/9SZUD}}</ref> and [[Likelihoodist statistics | likelihood/evidential analyses]].<ref>{{Cite web |last=Cahusac|first=Peter| title=Calculating Log Likelihood Ratios (LLRs) using the jeva module |url=https://blog.jamovi.org/2023/02/22/jeva.html |access-date=2023-05-03 }}</ref> <ref>{{Cite journal |last=Cahusac|first=Peter |date=2023 |title=Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package|url=https://journal.r-project.org/articles/RJ-2022-051/ |journal=The R Journal |volume=14 |issue=3|pages=203–212 |doi=10.32614/RJ-2022-051|s2cid=256128278 |issn=2073-4859}}</ref>
== Documentation ==
== 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 <ref>jamovi. (2023). Community. Retrieved April 6, 2023, from https://www.jamovi.org/community.html</ref>
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 <ref>jamovi. (2023). Community. Retrieved April 6, 2023, from https://www.jamovi.org/community.html</ref>

Revision as of 04:50, 10 October 2023

jamovi
Stable release
2.4.8 / August 24, 2023; 10 months ago (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

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]

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. ^ a b 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. ^ a b "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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