Jamovi: Difference between revisions
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== Extendibility == |
== Extendibility == |
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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> |
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 [[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> |
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== Documentation == |
== Documentation == |
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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 07:46, 3 May 2023
Stable release | 2.3.26
/ 14 April 2023 |
---|---|
Preview release | 2.3.9
/ 28 May 2022 |
Repository | Jamovi Github page |
Written in | C++, R, JavaScript |
Operating system | Microsoft Windows, Mac OS X, Linux, and ChromeOS |
Type | Statistics |
License | GNU Affero General Public License and GNU General Public License |
Website | www |
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
- ^ 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.
- ^ Richardson, Paul; Machan, Laura (2021). Jamovi for psychologists. Laura MacHan (1st ed.). London. ISBN 1-352-01185-9. OCLC 1247685958.
{{cite book}}
: CS1 maint: location missing publisher (link) - ^ 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.
- ^ 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.
- ^ a b Richardson, Paul; Machan, Laura (2021-03-21). Jamovi for Psychologists. Bloomsbury Publishing. ISBN 978-1-350-92876-3.
- ^ Brysbaert, Marc (2019-10-05). Basic Statistics for Psychologists. Bloomsbury Publishing. p. 494. ISBN 978-1-137-60747-8.
- ^ 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.
- ^ Leppink, Jimmie (2019-05-30). Statistical Methods for Experimental Research in Education and Psychology. Springer. pp. 97–101. ISBN 978-3-030-21241-4.
- ^ Davis, C. (ed.) (2019) Statistical testing with jamovi and JASP open source software Psychology. Vor Press.
- ^ "Module Development for Jamovi". www.serdarbalci.com. Retrieved 2022-08-31.
- ^ 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
- ^ Love J (2022). jmvtools: tools to build jamovi modules. R package version 2.3.4.
- ^ a b "jamovi library". www.jamovi.org. Retrieved 2022-08-31.
- ^ 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.
- ^ Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].
- ^ Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].
- ^ Morey, Richard (2022-08-22). "jpower". GitHub. Retrieved 2022-08-31.
- ^ Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa
- ^ Gallucci, Marcello & Jentschke, Sebastian SEMLj: A Suite for Structural Equation Models for jamovi, semlj, 2022-08-02, retrieved 2022-08-31
- ^ Balcı, Serdar (2022-08-30). "ClinicoPath Jamovi Module". Open Science Framework. doi:10.17605/OSF.IO/9SZUD.
{{cite journal}}
: Cite journal requires|journal=
(help) - ^ Cahusac, Peter. "Calculating Log Likelihood Ratios (LLRs) using the jeva module". Retrieved 2023-05-03.
- ^ 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.
- ^ jamovi. (2023). Community. Retrieved April 6, 2023, from https://www.jamovi.org/community.html