• Title/Summary/Keyword: Rj Editor

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An Alternative Approach to Securing Research Reproducibility : Researcher Experience and Utilization of Statistical Software (연구 재현성 확보를 위한 대안적 접근 : 연구자 경험과 통계 소프트웨어 활용)

  • Su-Hyun Ahn;Sang-Jun Lee
    • Journal of Practical Engineering Education
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    • v.16 no.5_spc
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    • pp.803-813
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    • 2024
  • The purpose of this study is to explore the possibility of using open-source statistical software Jamovi as an alternative approach to securing reproducibility. To this end, a descriptive survey was conducted on researchers in various academic fields to investigate the causes of the reproducibility problem and its solutions, and whether the use of Jamovi could contribute to solving the statistical reproducibility problem was empirically analyzed. The function of integrating Jamovi's data and analysis results into a single file played an important role in ensuring transparency in analysis. In addition, the possibility of enhancing statistical reproducibility was confirmed by using Jamovi's Rj Editor module to convert all procedures in the analysis process into R codes while performing advanced statistical analysis. This study emphasizes that Jamovi can act as a practical tool for solving research reproducibility problems, and through this, it is expected to contribute to strengthening the reliability of academic research.