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 1,007 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 the 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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