Abstract

In this article, the advantages of the Open Science movement in terms of open access to publications and results, collaboration between researchers, and especially methodological transparency, are presented. It is then argued that the R software is a useful tool which can contribute to the sharing of data analysis methods by providing explicit information about the pre-treatment of data files and the statistical analyses used. R also helps with the comprehension of results by facilitating the production of data-accountable graphics. This is illustrated in the context of a large-scale research project requiring the use of statistics to analyze data from pre- and post-tests to validate the use of Luciole, an educational app teaching English listening comprehension in first- and second-grade classrooms in France.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.