Jamovi

Last updated
jamovi
Stable release
2.5.4 [1]   OOjs UI icon edit-ltr-progressive.svg / 11 May 2024;20 days ago (11 May 2024)
Repository Jamovi Github page
Written in C++, R, JavaScript, Python
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.org

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. [2]

Contents

Software

jamovi is an open source graphical user interface for the R programming language. [3] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [4] [5] It also can be used for linear regression, [6] mixed models and Bayesian models. [7]

Data is entered into a spreadsheet interface [8] that can be imported into jamovi. If data are changed, all calculations and analyses affected by the change are automatically updated. [6] The software includes a multinomial test to determine whether observed data differs from researchers' predictions. [9]

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. [10] [11] These modules are written in the R programming language and make use of the jmv [12] and jmvtools [13] libraries to create the interface and display code. Numerous modules exist and can be accessed in the curated library within jamovi. Over 40 modules [14] have been created by the jamovi community and extend the functionality of the program. These additional analyses include agreement and reliability analyses [15] mediation models, [16] [17] meta-analysis, [14] power analysis, [18] psychometrics, [19] structural equation models, [20] survival analysis, [21] and likelihood/evidential analyses. [22] [23]

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 [24]

See also

Related Research Articles

Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article also discusses journals in the same field.

<span class="mw-page-title-main">SPSS</span> Statistical analysis software

SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.

Perl Data Language is a set of free software array programming extensions to the Perl programming language. PDL extends the data structures built into Perl, to include large multidimensional arrays, and adds functionality to manipulate those arrays as vector objects. It also provides tools for image processing, machine learning, computer modeling of physical systems, and graphical plotting and presentation. Simple operations are automatically vectorized across complete arrays, and higher-dimensional operations are supported.

<span class="mw-page-title-main">SAGA GIS</span>

System for Automated Geoscientific Analyses is a geographic information system (GIS) computer program, used to edit spatial data. It is free and open-source software, developed originally by a small team at the Department of Physical Geography, University of Göttingen, Germany, and is now being maintained and extended by an international developer community.

A GIS software program is a computer program to support the use of a geographic information system, providing the ability to create, store, manage, query, analyze, and visualize geographic data, that is, data representing phenomena for which location is important. The GIS software industry encompasses a broad range of commercial and open-source products that provide some or all of these capabilities within various information technology architectures.

<span class="mw-page-title-main">Ngspice</span> Analog circuit simulator software

Ngspice is an open-source mixed-level/mixed-signal electronic circuit simulator. It is a successor of the latest stable release of Berkeley SPICE, version 3f.5, which was released in 1993. A small group of maintainers and the user community contribute to the ngspice project by providing new features, enhancements and bug fixes.

The following tables compare general and technical information for a number of statistical analysis packages.

<span class="mw-page-title-main">OpenEpi</span>

OpenEpi is a free, web-based, open source, operating system-independent series of programs for use in epidemiology, biostatistics, public health, and medicine, providing a number of epidemiologic and statistical tools for summary data. OpenEpi was developed in JavaScript and HTML, and can be run in modern web browsers. The program can be run from the OpenEpi website or downloaded and run without a web connection. The source code and documentation is downloadable and freely available for use by other investigators. OpenEpi has been reviewed, both by media organizations and in research journals.

Analysis of molecular variance (AMOVA), is a statistical model for the molecular algorithm in a single species, typically biological. The name and model are inspired by ANOVA. The method was developed by Laurent Excoffier, Peter Smouse and Joseph Quattro at Rutgers University in 1992.

<span class="mw-page-title-main">PSPP</span> Data analysis software

PSPP is a free software application for analysis of sampled data, intended as a free alternative for IBM SPSS Statistics. It has a graphical user interface and conventional command-line interface. It is written in C and uses GNU Scientific Library for its mathematical routines. The name has "no official acronymic expansion".

Psychometric software is software that is used for psychometric analysis of data from tests, questionnaires, or inventories reflecting latent psychoeducational variables. While some psychometric analyses can be performed with standard statistical software like SPSS, most analyses require specialized tools.

<span class="mw-page-title-main">SOFA Statistics</span>

SOFA Statistics is an open-source statistical package. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, PostgreSQL, SQLite, MS Access (map), and Microsoft SQL Server. Data can also be imported from CSV and Tab-Separated files or spreadsheets. The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearson's chi squared, Kruskal Wallis H, one-way ANOVA, Spearman's R, and Pearson's R. Nested tables can be produced with row and column percentages, totals, standard deviation, mean, median, lower and upper quartiles, and sum.

ADINA is a commercial engineering simulation software program that is developed and distributed worldwide by ADINA R & D, Inc. The company was founded in 1986 by Dr. Klaus-Jürgen Bathe, and is headquartered in Watertown, Massachusetts, United States. On April 7, 2022, Bentley Systems acquired ADINA R&D, Inc.

Free statistical software is a practical alternative to commercial packages. Many of the free to use programs aim to be similar in function to commercial packages, in that they are general statistical packages that perform a variety of statistical analyses. Many other free to use programs were designed specifically for particular functions, like factor analysis, power analysis in sample size calculations, classification and regression trees, or analysis of missing data.

<span class="mw-page-title-main">Stan (software)</span> Probabilistic programming language for Bayesian inference

Stan is a probabilistic programming language for statistical inference written in C++. The Stan language is used to specify a (Bayesian) statistical model with an imperative program calculating the log probability density function.

<span class="mw-page-title-main">JASP</span> Free and open-source statistical program

JASP is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form. JASP generally produces APA style results tables and plots to ease publication. It promotes open science via integration with the Open Science Framework and reproducibility by integrating the analysis settings into the results. The development of JASP is financially supported by several universities and research funds. As the JASP GUI is developed in C++ using Qt framework, some of the team left to make a notable fork which is Jamovi which has its GUI developed in JavaScript and HTML5.

<span class="mw-page-title-main">Easystats</span> Software package for the R language

The easystats collection of open source R packages was created in 2019 and primarily includes tools dedicated to the post-processing of statistical models. As of May 2022, the 10 packages composing the easystats ecosystem have been downloaded more than 8 million times, and have been used in more than 1000 scientific publications. The ecosystem is the topic of several statistical courses, video tutorials and books.

References

  1. ↑ "release notes - jamovi" . Retrieved 18 May 2024.
  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. ↑ 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)
  4. ↑ 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.
  5. ↑ 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.
  6. 1 2 Richardson, Paul; Machan, Laura (2021-03-21). Jamovi for Psychologists. Bloomsbury Publishing. ISBN   978-1-350-92876-3.
  7. ↑ Brysbaert, Marc (2019-10-05). Basic Statistics for Psychologists. Bloomsbury Publishing. p. 494. ISBN   978-1-137-60747-8.
  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.
  9. ↑ Leppink, Jimmie (2019-05-30). Statistical Methods for Experimental Research in Education and Psychology. Springer. pp. 97–101. ISBN   978-3-030-21241-4.
  10. ↑ Davis, C. (ed.) (2019) Statistical testing with jamovi and JASP open source software Psychology. Vor Press.
  11. ↑ "Module Development for jamovi". www.serdarbalci.com. Retrieved 2022-08-31.
  12. ↑ 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
  13. ↑ Love J (2022). jmvtools: tools to build jamovi modules. R package version 2.3.4.
  14. 1 2 "jamovi library". www.jamovi.org. Retrieved 2022-08-31.
  15. ↑ 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.
  16. ↑ Gallucci, M. (2019). jAMM: jamovi Advanced Mediation Models.[jamovi module].
  17. ↑ Gallucci, M. (2021). PATHj: jamovi Path Analysis.[jamovi module].
  18. ↑ Morey, Richard (2022-08-22). "jpower". GitHub . Retrieved 2022-08-31.
  19. ↑ Hyunsoo Seol (2020). Understanding and using the jamovi statistical program (3rd ed.). Seoul: Hakjisa
  20. ↑ Gallucci, Marcello & Jentschke, Sebastian SEMLj: A Suite for Structural Equation Models for jamovi, semlj, 2022-08-02, retrieved 2022-08-31
  21. ↑ Balcı, Serdar (2022-08-30). "ClinicoPath Jamovi Module". Open Science Framework. doi:10.17605/OSF.IO/9SZUD.{{cite journal}}: Cite journal requires |journal= (help)
  22. ↑ Cahusac, Peter. "Calculating Log Likelihood Ratios (LLRs) using the jeva module" . Retrieved 2023-05-03.
  23. ↑ 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.
  24. ↑ jamovi. (2023). Community. Retrieved April 6, 2023, from https://www.jamovi.org/community.html
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.