- Volume 8 Issue 1
A Study on Effective Selection of University Lecture Evaluation
대학 강의평가에서 문항 추출에 관한 연구
- Hwang Se-Myung (Department of Information Engineering, Myongji University) ;
- Kim In-Taek (Department of Communication Engineering, Myongji University)
- Published : 2005.03.01
In this paper, selecting survey items was performed using three clustering methods: factor analysis, fuzzy c-Means algorithm and cluster analysis. The methods were used to extract key items from various questionnaires. The key item represents several similar questionnaires that form a cluster. Test survey was made of 120 items obtained from several surveys and it was answered by 646 students from 4 universities. Each item contains 6 choices. Applying the clustering method chose 25 items which is reduced from the original 120 items. The results yielded by three methods are very similar.
Factor Analysis(FA);Fuzzy c-Means Algorithm;Cluster Analysis(CA);Clustering