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Investigating transition of students' awareness of career design by using principal component analysis

Muroran Institute of Technology has been conducting investigations on students' awareness of career design by taking questionnaire with bachelor course students. In this study, data collected from questionnaire is analyzed by principal component analysis (PCA) for inspecting the transition of students' awareness. It is difficult to observe the awareness transition from a dynamic point of view by applying PCA in traditional methods because of different principal components are used to project data, thus a new way to use PCA is proposed. The both methods are conducted and compared through a case study in order to highlight the effectiveness of the proposed method.