A Fresh Look at Socio-demographics in Work-Family Conflict: A Cluster Analysis Approach.
A Fresh Look at Socio-demographics in Work-Family Conflict: A Cluster Analysis Approach.
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对工作家庭冲突中的社会人口统计学的重新看待：一种聚类分析方法。
DOI：
10.1007/s41542-018-0014-8
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发表时间：
2018-06
影响因子：
3.1
通讯作者：
Rospenda KM
中科院分区：
文献类型：
--
作者：
Page KJ;Deuling JK;Mazzola JJ;Rospenda KM
工作-家庭文献中的一个重要空白是对性别、年龄、工作时数、最小孩子的年龄和家庭收入等社会人口变量如何与工作-家庭冲突相关的理解。使用来自667名个体的数据和来自1，007名照顾者的纵向数据，按性别进行的单独探索性聚类分析为男性，非男性和女性提供了三个聚类解决方案，为非女性提供了四个聚类解决方案。在工作干扰家庭方面，研究人员发现，在男性、女性和非女性群体中，工作干扰家庭的情况存在差异。非生育男性，非生育女性，和生育女性有不同程度的家庭干扰工作集群。科恩的D显示，年龄有最大的影响大小之间的集群的个人和照顾者。研究结果和影响进行了讨论。
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.