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Study on Accurate Grouping of Job Burnout of Police in Kham Tibetan Areas of Sichuan Province Based on K-means Clustering Analysis

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DOI: 10.23977/socsam.2023.040210 | Downloads: 27 | Views: 528

Author(s)

Jing Ye 1, Zhaoming Song 2

Affiliation(s)

1 Sichuan Vocational College of Chemical Technology, Luzhou, Sichuan 646000, China
2 Sichuan Police College, Luzhou, Sichuan, 646000, China

Corresponding Author

Jing Ye

ABSTRACT

Paying attention to the particularity of job burnout and carrying out accurate identification and intervention can help the administrative department to identify the high-risk group at an early stage and provide empirical evidence for the formulation of personalized assistance plan. This research adopts k-means cluster analysis to study the job burnout degree of 431 policemen in Kham Tibetan Areas of Sichuan Province, and analyzes the population index of the research results. The conclusion is of reference value for realizing accurate identification and positioning for the intervention of the police job burnout. It is of great theoretical and practical significance to take corresponding measures to identify the degree of job burnout of the police, and effectively interdict the deterioration of job burnout.

KEYWORDS

Job burnout, kmeans, cluster analysis, Kham Tibetan Areas, Sichuan Province

CITE THIS PAPER

Jing Ye, Zhaoming Song, Study on Accurate Grouping of Job Burnout of Police in Kham Tibetan Areas of Sichuan Province Based on K-means Clustering Analysis. Social Security and Administration Management (2023) Vol. 4: 71-79. DOI: http://dx.doi.org/10.23977/socsam.2023.040210.

REFERENCES

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