과제정보
본 과제(결과물)는 2024년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신사업의 결과입니다(2021RIS-001(1345370811)).
참고문헌
- J. T. Cacioppo, R. M. Kaplan, J. A. Krosnick, J. L. Olds, and H. Dean, Social, Behavioral, and Economic Sciences Perspectives on Robust and Reliable Science. Report of the Subcommittee on Replicability in Science Advisory Committee to the National Science Foundation Directorate for Social, Behavioral, and Economic Sciences, 1, 2015.
- S. N. Goodman, D. Fanelli, and J. P. Ioannidis, "What does research reproducibility mean?," Science Translational Medicine, vol. 8, no. 341, pp. 341ps12-341ps12, 2016.
- https://www.edge.org/response-detail/25340.
- M. Baker, "1,500 scientists lift the lid on reproducibility," Nature, vol. 533, no. 7604, pp. 452-454, 2016.
- C. G. Begley and J. P. Ioannidis, "Reproducibility in science: improving the standard for basic and preclinical research," Circulation Research, vol. 116, no. 1, pp. 116-126, 2015.
- J. B. Asendorpf, M. Conner, F. De Fruyt, J. De Houwer, J. J. Denissen, K. Fiedler, D. C. Funder, R. Kliegl, B. A. Nosek, M. Perugini, B. W. Roberts, M. Schmitt, M. A. G. Van Aken, H. Weber, and J. M. Wicherts, "Recommendations for increasing replicability in psychology," European Journal of Personality, vol. 27, no. 2, pp. 108-119, 2013.
- J. P. Simmons, L. D. Nelson, and U. Simonsohn, "Falsepositive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant," Psychological Science, vol. 22, no. 11, pp. 1359-1366, 2011.
- T. Yarkoni and J. Westfall, "Choosing prediction over explanation in psychology: Lessons from machine learning," Perspectives on Psychological Science, vol. 12, no. 6, pp. 1100-1122, 2017.
- M. C. Makel, J. A. Plucker, and B. Hegarty, "Replications in psychology research: How often do they really occur?," Perspectives on Psychological Science, vol. 7, no. 6, pp. 537-542, 2012.
- H. Pashler and E. J. Wagenmakers, "Editors' introduction to the special section on replicability in psychological science: A crisis of confidence?," Perspectives on Psychological Science, vol. 7, no. 6, pp. 528-530, 2012.
- T. Yarkoni and J. Westfall, "Choosing prediction over explanation in psychology: Lessons from machine learning," Perspectives on Psychological Science, vol. 12, no. 6, pp. 1100-1122, 2017.
- J. T. Leek and R. D. Peng, "Reproducible research can still be wrong: adopting a prevention approach," Proceedings of the National Academy of Sciences, vol. 112, no. 6, pp. 1645-1646, 2015.
- R. D. Peng, "Reproducible research in computational science," Science, vol. 334, no. 6060, pp. 1226-1227, 2011.
- M. D. Wilkinson, The FAIR Guiding Principle for Scientific Data Management and Stewardship: Comment, 2016.
- B. A. Nosek, G. Alter, G. C. Banks, D. Borsboom, S. D. Bowman, S. J. Breckler, ... M. Humphreys, and T. Yarkoni, "Promoting an open research culture," Science, vol. 348, no. 6242, pp. 1422-1425, 2015.
- M. Sahin and E. Aybek, "Jamovi: an easy to use statistical software for the social scientists," International Journal of Assessment Tools in Education, vol. 6, no. 4, pp. 670-692, 2019.
- G. Guest, A. Bunce, and L. Johnson, "How many interviews are enough? An experiment with data saturation and variability," Field Methods, vol. 18, no. 1, pp. 59-82, 2006.
- M. Q. Patton, Qualitative research & evaluation methods: Integrating theory and practice. Sage Publications, 2014.
- J. W. Creswell and C. N. Poth, Qualitative inquiry and research design: Choosing among five approaches. Sage Publications, 2016.
- A. Bryman, Social Research Methods. Oxford University Press, 2016.
- R. A. Krueger, Focus Groups: A Practical Guide for Applied Research. Sage Publications, 2014.
- The jamovi project, jamovi. (Version 2.4) [Computer Software]. Retrieved from https://www.jamovi.org, 2023.
- R Core Team, R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from CRAN snapshot 2023-04-07), 2022.
- https://docs.jamovi.org/_pages/Rj_overview.html.