Research on the abnormal psychological evaluation of college students in China based on the knowledge network

Abstract

ABSTRACT Mental health is directly related to people’s physical health, social adaptation and study and work efficiency. Mental health education for college students has also become the focus of education in China. By combining the knowledge network with the psychological scales, this study tried to not only find the most significant abnormal psychology but also evaluate the relationship between different abnormal psychology of college students. The data of this study were the ‘The symptom Checklist scale (SCL-90)’ questionnaire of the 2017 freshman census of a university in China. The data were statistically analyzed by means of knowledge network method including centrality, systematic clustering and K-plex analysis. From the results, we can see that the ‘phobic anxiety’ was the core dimension; all the mild symptoms were clustered into one type, and all the severe symptoms were clustered into another type; other dimensions were more closely related in addition to ‘interpersonal sensitivity’ and ‘somatization’. In psychological measurement research, knowledge network method can be combined to better evaluate the psychological state of the groups and obtain more complete assessment results, which provides a basis for the revision of the psychological scales in terms of balance and item setting.