연구 재현성 확보를 위한 대안적 접근 : 연구자 경험과 통계 소프트웨어 활용
An Alternative Approach to Securing Research Reproducibility : Researcher Experience and Utilization of Statistical Software
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본 연구는 재현성 확보를 위한 대안적 접근으로 오픈소스 통계 소프트웨어 Jamovi의 활용 가능성을 탐색하는데 목적이 있다. 이를 위해 다양한 학문 분야의 연구자들을 대상으로 서술형 설문조사를 실시하여 재현성 문제의 원인과 그 해결 방안을 조사하 였고, Jamovi의 사용이 통계적 재현성 문제 해결에 기여할 수 있는지에 대해 실증적으로 분석하였다. 연구 결과 Jamovi의 데이 터와 분석 결과를 하나의 파일로 통합하는 기능은 분석의 투명성을 보장하는데 중요한 역할을 하였다. 또한 Jamovi의 Rj Editor 모듈을 활용하면 고급 통계 분석을 수행하면서 분석 과정의 모든 절차를 R 코드로 변환할 수 있어 통계적 재현성을 높일 수 있 는 가능성을 확인하였다. 본 연구는 Jamovi가 연구 재현성 문제 해결을 위한 실질적인 도구로 작용할 수 있음을 강조하며, 이를 통해 학문적 연구의 신뢰성을 강화하는 데 기여할 수 있을 것으로 기대한다.
Abstract
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 perform ing 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.
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