Editing Jamovi

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'''jamovi''' (stylised in all lower-case) 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 were 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>

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 |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|doi-access=free }}</ref> that can be imported into jamovi. If data are changed, all calculations and analyses affected by the change are automatically updated.<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>

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. <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 |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|doi-access=free }}</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|doi-access=free }}</ref>