A fresh look at socio-demographics in work-family conflict: a cluster analysis approach.
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2018/06/01
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Description:An important gap in work-family literature is the understanding of how socio-demographic variables, such as sex, age, hours worked, age of youngest child, and household income may relate to work-family conflict. Using data from 667 individuals and longitudinal data from 1007 caregivers, separate exploratory cluster analysis by gender provided a three cluster solution for caregiving men, non-caregiving men, and caregiving women and a four cluster solution for non-caregiving women. Differences in work interfering with family were found in caregiving men, caregiving women, and non-caregiving women clusters. Non-caregiving men, non-caregiving women, and caregiving women had differential levels of family interfering with work by cluster. Cohen's D revealed that age had the largest effect size between clusters for individuals and caregivers. Findings and implications are discussed. A correction to this article was published on March 1, 2019: Please note that the Acknowledgements to this paper were inadvertently omitted in the original version of the online publication. [Description provided by NIOSH]
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ISSN:2367-0134
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Pages in Document:181-201
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Volume:2
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Issue:2
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NIOSHTIC Number:nn:20064755
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Citation:Occup Health Sci 2018 Jun; 2(2):181-201
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Contact Point Address:Kyle J. Page, Department of I/O Psychology, Roosevelt University, 430 S Michigan Ave, Chicago, IL, 60605 AUD827J, USA
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Email:kylejpage@gmail.com
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Federal Fiscal Year:2018
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Performing Organization:Sunshine Education and Research Center, University of South Florida
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:Occupational Health Science
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End Date:20290630
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Main Document Checksum:urn:sha-512:0db55a16ae8c73b9f4c41d5361425551262cb26e1c861613f96f7624066ef1575b687f37e635e8d7c244b229ecf564885ee3898c216e664c2e0e3fe4550b1fd7
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