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Jamovi: An Easy to Use Statistical Software for the Social Scientists

Year 2019, Volume: 6 Issue: 4, 670 - 692, 05.01.2020
https://doi.org/10.21449/ijate.661803

Abstract

This report aims to introduce the fundamental features of the free Jamovi software to academics in the field of educational measurement for use at undergraduate and graduate level research. As such, after introducing the R based interface and the integrated development environment, the core functions of Jamovi are presented, the installation for GNU7Linux, Windows, and MacOS is explained and screenshots of frequently conducted statistical analyses are provided. Additionally, the module support of Jamovi is presented, along with a use case scenario on developing further functionality for Jamovi using modules. Specifically, conducting meta-analysis and Bayesian statistics using modules in Jamovi are explained through examples.

References

  • Amazon (2019). Search Results. https://www.amazon.com/s?k=statistics+for+social+science Accessed on 20 September 2019.
  • Baykul, Y. (2000). Eğitimde ve psikolojide ölçme [Measurement and Evaluation in Education]. Ankara: ÖSYM Yayınları.
  • Brown, T.A. (2015). Confirmatory factor analysis for applied research. New York: The Guilford Press.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics. London: SAGE Pub.
  • Fokkema, M. & Grieff, S. (2017). How performing PCA and CFA on the same data equals trouble. European Journal of Psychological Assessment, 33(6), 399–402.
  • GNU (2019). What is GNU? https://www.gnu.org/ Accessed on 28 September 2019.
  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179-85.
  • Henson, H. K. & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66(3). 393-416.
  • JASP Team (2019). JASP (Version 0.11.1) [Computer software].
  • Kline, R. B. (2009). Becoming a behavioral science researcher: A guide to producing research that matters. New York: Guilford Press.
  • Muenchen, R.A. (2019). The Popularity of Data Science Software. http://r4stats.com/articles/popularity/. Accessed on 20 September 2019.
  • Navarro, D.J. & Foxcroft, D.R. (2019). Learning statistics with jamovi: A tutorial for psychology students and other beginners. (Version 0.70). doi: 10.24384/hgc3-7p15 [Available from http://learnstatswithjamovi.com]
  • Padilla, M. A & Divers, J. (2016). A Comparison of composite reliability estimators: Coefficient omega confidence intervals in the current literature. Educational and Psychological Measurement, 76(3) 436–453
  • R Core Team (2019a). What is R. https://www.r-project.org/about.html Accessed on 25 September 2019.
  • R Core Team (2019b). Contributed Packages. https://cloud.r-project.org/web/packages Accessed on 01 October 2019.
  • RKWard (2019). About RKWard. https://rkward.kde.org/About.html Accessed on 05 October 2019.
  • RStudio (2019). RStudio. https://rstudio.com/products/rstudio/ Accessed on 05 October 2019.
  • The jamovi project (2019a). Jamovi (Version 1.0) [Computer Software].
  • The jamovi project (2019b). About. https://www.jamovi.org/about.html Accessed on 06 October 2019.
  • Warner, R.M. (2008). Applied statistics: From bivariate through multivariate techniques. USA: SAGE Pub.

Jamovi: An Easy to Use Statistical Software for the Social Scientists

Year 2019, Volume: 6 Issue: 4, 670 - 692, 05.01.2020
https://doi.org/10.21449/ijate.661803

Abstract

This report aims to introduce the fundamental features of the free Jamovi software to academics in the field of educational measurement for use at undergraduate and graduate level research. As such, after introducing the R based interface and the integrated development environment, the core functions of Jamovi are presented, the installation for GNU7Linux, Windows, and MacOS is explained and screenshots of frequently conducted statistical analyses are provided. Additionally, the module support of Jamovi is presented, along with a use case scenario on developing further functionality for Jamovi using modules. Specifically, conducting meta-analysis and Bayesian statistics using modules in Jamovi are explained through examples.

References

  • Amazon (2019). Search Results. https://www.amazon.com/s?k=statistics+for+social+science Accessed on 20 September 2019.
  • Baykul, Y. (2000). Eğitimde ve psikolojide ölçme [Measurement and Evaluation in Education]. Ankara: ÖSYM Yayınları.
  • Brown, T.A. (2015). Confirmatory factor analysis for applied research. New York: The Guilford Press.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics. London: SAGE Pub.
  • Fokkema, M. & Grieff, S. (2017). How performing PCA and CFA on the same data equals trouble. European Journal of Psychological Assessment, 33(6), 399–402.
  • GNU (2019). What is GNU? https://www.gnu.org/ Accessed on 28 September 2019.
  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179-85.
  • Henson, H. K. & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66(3). 393-416.
  • JASP Team (2019). JASP (Version 0.11.1) [Computer software].
  • Kline, R. B. (2009). Becoming a behavioral science researcher: A guide to producing research that matters. New York: Guilford Press.
  • Muenchen, R.A. (2019). The Popularity of Data Science Software. http://r4stats.com/articles/popularity/. Accessed on 20 September 2019.
  • Navarro, D.J. & Foxcroft, D.R. (2019). Learning statistics with jamovi: A tutorial for psychology students and other beginners. (Version 0.70). doi: 10.24384/hgc3-7p15 [Available from http://learnstatswithjamovi.com]
  • Padilla, M. A & Divers, J. (2016). A Comparison of composite reliability estimators: Coefficient omega confidence intervals in the current literature. Educational and Psychological Measurement, 76(3) 436–453
  • R Core Team (2019a). What is R. https://www.r-project.org/about.html Accessed on 25 September 2019.
  • R Core Team (2019b). Contributed Packages. https://cloud.r-project.org/web/packages Accessed on 01 October 2019.
  • RKWard (2019). About RKWard. https://rkward.kde.org/About.html Accessed on 05 October 2019.
  • RStudio (2019). RStudio. https://rstudio.com/products/rstudio/ Accessed on 05 October 2019.
  • The jamovi project (2019a). Jamovi (Version 1.0) [Computer Software].
  • The jamovi project (2019b). About. https://www.jamovi.org/about.html Accessed on 06 October 2019.
  • Warner, R.M. (2008). Applied statistics: From bivariate through multivariate techniques. USA: SAGE Pub.
There are 20 citations in total.

Details

Primary Language English
Subjects Studies on Education
Journal Section Articles
Authors

Murat Şahin 0000-0002-2174-8443

Eren Aybek 0000-0003-3040-2337

Publication Date January 5, 2020
Submission Date August 3, 2019
Published in Issue Year 2019 Volume: 6 Issue: 4

Cite

APA Şahin, M., & Aybek, E. (2020). Jamovi: An Easy to Use Statistical Software for the Social Scientists. International Journal of Assessment Tools in Education, 6(4), 670-692. https://doi.org/10.21449/ijate.661803

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