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The Modified International Standard Classification of Occupations defined by the clustering of occupational characteristics in the Korean Working Conditions Survey

Authors
 Soo Beom Choi  ;  Jin-Ha Yoon  ;  Wanhyung Lee 
Citation
 INDUSTRIAL HEALTH, Vol.58(2) : 132-141, 2020-04 
Journal Title
 INDUSTRIAL HEALTH 
ISSN
 0019-8366 
Issue Date
2020-04
Keywords
Classification ; Clustering analysis ; International Standard Classification of Occupations ; Korea ; Korean Working Conditions Survey ; Occupation ; Principal component analysis ; Workers
Abstract
The modified International Standard Classification of Occupations (ISCO) has been used empirically to report or investigate working conditions or worker status. We used principal component analysis and k-means clustering to analyze the working population based on 67 occupational characteristics among 23,060 workers from the fourth Korean Working Conditions Survey in 2014. The three-cluster approach classified workers into major groups 1-4 (managers, professionals, technicians, and clerical support workers), 5-6 (service, sales, agricultural, forestry, and fishery workers), and 7-9 (crafts, trades, machine operators, assemblers, and elementary occupations) based on the ISCO-08. The results of the current study suggest a well-defined clustered occupational classification that can be used to report or investigate workers.
Files in This Item:
T202004940.pdf Download
DOI
10.2486/indhealth.2018-0169
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine and Public Health (예방의학교실) > 1. Journal Papers
Yonsei Authors
Yoon, Jin Ha(윤진하) ORCID logo https://orcid.org/0000-0003-4198-2955
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/180585
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