The Modified International Standard Classification of Occupations defined by the clustering of occupational characteristics in the Korean Working Conditions Survey
- Authors
- Choi, Soo Beom; Yoon, Jin-Ha; Lee, Wanhyung
- Issue Date
- Apr-2020
- Publisher
- National Institute of Industrial Health
- Keywords
- Workers; Occupation; Classification; Clustering analysis; Principal component analysis; Korea; International Standard Classification of Occupations; Korean Working Conditions Survey
- Citation
- Industrial Health, v.58, no.2, pp.132 - 141
- Journal Title
- Industrial Health
- Volume
- 58
- Number
- 2
- Start Page
- 132
- End Page
- 141
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/76307
- DOI
- 10.2486/indhealth.2018-0169
- ISSN
- 0019-8366
- 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.
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