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A Fresh Look at Socio-Demographics in Work-Family Conflict: a Cluster Analysis Approach

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Abstract

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.

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Change history

  • 12 March 2019

    Please note that the Acknowledgements to this paper were inadvertently omitted in the original version of the online publication.

  • 12 March 2019

    Please note that the Acknowledgements to this paper were inadvertently omitted in the original version of the online publication.

  • 12 March 2019

    Please note that the Acknowledgements to this paper were inadvertently omitted in the original version of the online publication.

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Page, K.J., Deuling, J.K., Mazzola, J.J. et al. A Fresh Look at Socio-Demographics in Work-Family Conflict: a Cluster Analysis Approach. Occup Health Sci 2, 181–201 (2018). https://doi.org/10.1007/s41542-018-0014-8

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