94
Views
3
CrossRef citations to date
0
Altmetric
Research Article

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

, , , &
Pages 767-773 | Received 27 Nov 2018, Accepted 02 Aug 2019, Published online: 11 Aug 2019
 

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.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China under Grant No. [71503152]; and Program for the Philosophy and Social Sciences Key Research Base of Higher Education Institutions of Shanxi (PSRB) under Grant No. [20190114].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.