The family life cycle: a forgotten variable in the study of women's employment and well-being

1995 ◽  
Vol 25 (4) ◽  
pp. 727-738 ◽  
Author(s):  
Catherine E. Haw
Keyword(s):  
Life Cycle ◽  
Family Life ◽  
General Health Questionnaire ◽  
Well Being ◽  
Positive Influence ◽  
Full Time ◽  
Occupation Group ◽  
The Family ◽  
Part Time ◽  
Satisfaction Measures

SYNOPSISOne hundred and sixteen working-class housewives, part-time and full-time employees were compared on a range of well-being measures in three different lifestages. A group of factory employees was contrasted with a ‘mixed occupation’ group for a comparison of type of employment. The general contention that the association between employment and well-being would vary with position in the life cycle was confirmed for distress, physical illness and some of the satisfaction measures. Only one measure (personal competence) suggested that employment had a positive influence on well-being irrespective of lifestage. Young employees working for longer hours and older housewives were both defined as ‘cases’ by the General Health Questionnaire (GHQ-12). However, their profiles on the other well-being variables were very different.

A Matter of Combination? The Influence of Work-family Life Courses on Life Satisfaction at Higher Ages among German Women

2020 ◽  
pp. 0192513X2096600
Author(s):  
Okka Zimmermann
Keyword(s):  
Life Satisfaction ◽  
Family Life ◽  
Well Being ◽  
Full Time ◽  
Cross Sectional ◽  
Advantages And Disadvantages ◽  
Time Work ◽  
Part Time ◽  
Life Courses ◽  
Work Family

This study analyzed the association between work-family life courses and life satisfaction among 2,542 women aged 60–65 years (born between 1920 and 1957) using German SOEP data and ANOVA models. The results are embedded in a description of the specific role of mothers in Germany (as primary caregivers), different theoretical assumptions (from role theories and theories on cumulative advantages and disadvantages), and prior results (from longitudinal and cross-sectional research). The findings provide strong evidence that motherhood in combination with not working and losing a spouse in middle age is associated with low life satisfaction at higher age. They also show that combining motherhood with continuous part-time work or childlessness with continuous full-time work is positively related to life satisfaction at higher ages. The fact that differences between other patterns are not significant, suggests that only specific combinations of characteristics of work-family life course patterns are associated with well-being at higher ages.

Analysis of Ambiguous Loss and the Family Life Cycle

2013 ◽  
Author(s):  
Laura A. Scudellari ◽  
Bethany A. Pecora-Sanefski ◽  
Andrew Muschel ◽  
Jane R. Piesman ◽  
Thomas P. Demaria
Keyword(s):  
Life Cycle ◽  
Family Life ◽  
Ambiguous Loss ◽  
Family Life Cycle ◽  
The Family

Three Blind Mice: Misleading Criticisms of the "Family Life Cycle" Concept

1979 ◽  
Vol 41 (4) ◽  
pp. 689 ◽  
Author(s):  
David M. Klein ◽  
Joan Aldous ◽  
Steven L. Nock
Keyword(s):  
Life Cycle ◽  
Family Life ◽  
Family Life Cycle ◽  
The Family

The Utility of Family Life Cycle as a Theoretical and Empirical Tool

2003 ◽  
Vol 24 (2) ◽  
pp. 155-184 ◽  
Author(s):  
Carolyn A. Kapinus ◽  
Michael P. Johnson
Keyword(s):  
Life Cycle ◽  
Family Life ◽  
Predictive Power ◽  
National Sample ◽  
Family Life Cycle ◽  
Predictive Tool ◽  
The Family ◽  
Dependent Variables ◽  
Married Men ◽  
Using Data

Using data from a 1980 national sample of married men and women, the analysis examines the utility of the family life cycle concept, employing as dependent variables constructs from Johnson’s conceptualization of commitment. They argue, in disagreement with two classic critiques of the family life cycle concept, that the predictive power of family life cycle is, for many dependent variables, quite independent of age or length of marriage. Their analyses demonstrate that, when using dependent variables one would expect to be related to the presence and ages of children, family life cycle remains a useful predictive tool.

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