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https://hdl.handle.net/2142/68584
Description
Title
Determinants of Wife's Satisfaction With Her Pay
Author(s)
Dikmen, Hulya Leblebicioglu
Issue Date
1981
Department of Study
Human Resources and Family Studies
Discipline
Human Resources and Family Studies
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Home Economics
Language
eng
Abstract
The objective of this study was to determine the relative importance of personal input factors (education, age, length of service, and training), job factors (job level, satisfaction with job), pay factors (amount of money, cost of living pay increase, other's income, amount of family income and perception of family income adequacy), and other factors (husband's attitude toward wife working, main reason for wife working, the wife's amount of leisure time, and hours and number of days wife works per week) in explaining wife's satisfaction with her pay.
Data for this study are taken from the Quality of Life Survey conducted in 1976-77 at the University of Illinois, Champaign-Urbana, Illinois. The sample of 238 families in the 1976-77 Survey was the second interview of "typical" families from the 1970-71 Survey of Life Styles of Families. The original sample of "typical" families was a stratified random sample based on the head's occupation. Households were eligible for inclusion in the original survey if they had a mother or mother-substitute under 65 years of age and at least one child under 18. Student households were excluded. Of 238 wives interviewed, only those employed were eligible for inclusion in the present study. There were 145 homemakers who met this criterion.
Since an assumption of the interdependency of two variables (endogenous variables), wife's satisfaction with her present earnings and wife's satisfaction with her present job, was made, two-stage least-squares (2SLS) was used to analyze the data in a simultaneous system.
In the second phase of the two-stage least-squares analysis, the endogenous variables were not found to be simultaneously determined. Therefore, as a second part of the analysis, wife's satisfaction with her present earnings was used as a dependent variable in ordinary least squares regression analysis.
The findings from the regression equation are summarized. Four variables were significantly related to wife's satisfaction with her present earnings. Wife's satisfaction with her pay increases with her satisfaction with her job. The higher the wife's educational level the less satisfied she is with her pay. The better the wife thinks her family income is compared to that of people she knows, the more satisfied she is with her pay. A wife who feels that her income has not kept up with price increases is more dissatisfied with her pay than wives who feel their incomes have kept up with price increases and those who are undecided. Twenty-eight percent of the variance was explained.
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