Acknowledgement
이 논문은 2022년도 한국기술교육대학교 교수 교육연구진흥과제(202202930001) 지원에 의하여 연구되었음.
References
- A. Donner and J. J. Koval, "The estimation of intraclass correlation in the analysis of family data," Biometrics, vol. 36, pp. 19-25, 1980 https://doi.org/10.2307/2530491
- P. E. Shrout and J. L. Fleiss, "Intraclass Correlations : Uses in Assessing Rater Reliability," Psychological Bulletin, vol. 86, no. 2, pp. 420-428, 1979. https://doi.org/10.1037/0033-2909.86.2.420
- D. Spencer, Card Sorting: Designing Usable Categories, Brooklyn, NY, USA: Rosenfeld Media, 2009.
- D. Spencer and T. Warfel, Card sorting: A definitive guide. Boxes and Arrows. Retrieved from http://boxesandarrows.com/card-sorting-a-definitive-guide/, April 2004.
- L. A. Rojas and J. A. Macias, "Toward collisions produced in requirements rankings: A qualitative approach and experimental study," Journal of Systems and Software, vol. 158, pp. 110417, 2019.
- B. Albert and T. Tullis, Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics, Morgan Kaufmann, 2013.
- S. Paea and R. Baird, "Information Architecture (IA): Using multidimensional scaling (MDS) and k-means clustering algorithm for analysis of card sorting data," Journal of Usability Studies, vol. 13, no. 3, pp. 138-157, 2018.
- OptimalSort, https://www.optimalworkshop.com.
- C. Righi, J. James, M. Beasley, D. L. Day, J. E. Fox, J. Gieber, and L. Ruby, "Card sort analysis best practices," Journal of Usability Studies, vol. 8, no. 3, pp. 69-89, 2013.
- V. Estivill-Castro, "Why so many clustering algorithms: A position paper," ACM SIGKDD Explorations Newsletter, vol. 4, no. 1, pp. 65-75, 2002. https://doi.org/10.1145/568574.568575