Cited 21 times in
The Modified International Standard Classification of Occupations defined by the clustering of occupational characteristics in the Korean Working Conditions Survey
DC Field | Value | Language |
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dc.contributor.author | 윤진하 | - |
dc.date.accessioned | 2020-12-01T18:05:02Z | - |
dc.date.available | 2020-12-01T18:05:02Z | - |
dc.date.issued | 2020-04 | - |
dc.identifier.issn | 0019-8366 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/180585 | - |
dc.description.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. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | National Institute of Industrial Health | - |
dc.relation.isPartOf | INDUSTRIAL HEALTH | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | The Modified International Standard Classification of Occupations defined by the clustering of occupational characteristics in the Korean Working Conditions Survey | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Preventive Medicine and Public Health (예방의학교실) | - |
dc.contributor.googleauthor | Soo Beom Choi | - |
dc.contributor.googleauthor | Jin-Ha Yoon | - |
dc.contributor.googleauthor | Wanhyung Lee | - |
dc.identifier.doi | 10.2486/indhealth.2018-0169 | - |
dc.contributor.localId | A04616 | - |
dc.relation.journalcode | J03001 | - |
dc.identifier.eissn | 1880-8026 | - |
dc.identifier.pmid | 31527354 | - |
dc.subject.keyword | Classification | - |
dc.subject.keyword | Clustering analysis | - |
dc.subject.keyword | International Standard Classification of Occupations | - |
dc.subject.keyword | Korea | - |
dc.subject.keyword | Korean Working Conditions Survey | - |
dc.subject.keyword | Occupation | - |
dc.subject.keyword | Principal component analysis | - |
dc.subject.keyword | Workers | - |
dc.contributor.alternativeName | Yoon, Jin Ha | - |
dc.contributor.affiliatedAuthor | 윤진하 | - |
dc.citation.volume | 58 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 132 | - |
dc.citation.endPage | 141 | - |
dc.identifier.bibliographicCitation | INDUSTRIAL HEALTH, Vol.58(2) : 132-141, 2020-04 | - |
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