Graduate Thesis Or Dissertation
 

A study of relationships between selected factors associated with retirement and measures of dyadic quality

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/v692t900g

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  • The relationships between life in retirement and the quality of marriage among retirees were examined-- specifically the effects of selected factors associated with retirement on measures of dyadic quality. Two self-administered questionnaires were mailed to each of 522 households of retired Oregon educators and their partners. Households were randomly selected from a list of 1,347 retired educators. Completed questionnaires from 261 couples -- 522 respondents -- provided the data base. The 4-page questionnaire contained 18 items incorporating 38 independent variables. A 10-part variant of Spanier's Dyadic Adjustment Scale (DAS) measured the dependent variable, dyadic quality, and two of its subsets: dyadic cohesion and dyadic satisfaction. The study examined: (1) descriptive data of dyads and individuals; (2) differences in dyadic quality among groups of respondents differentiated by sex and retirement status; (3) differences in dyadic quality among respondents reporting varying levels of retirement satisfaction and life satisfaction; (4) significant correlations between paired independent and dependent variables; (5) percentages of variance in dependent variables accounted for by independent variables. Statistical procedures include One-way Analyses of Variance (fixed model), Spearman Rho Correlation Coefficients, and Stepwise Multiple Regressions. The regression model includes 20 independent variables, each of which correlates with a dependent variable at the .05 level. The descriptive data profile 17 dimensions of typical, somewhat atypical, and very atypical characteristics of this population of retired couples. The findings include: The regression equation of 20 independent variables explained 32% of the variance in dyadic quality. Three independent variables emerged as the strongest predictors of dyadic quality: emotional health; life satisfaction scores, and an active social life. Confirmed hypotheses found significant correlations between dyadic quality and independent variables of physical health, emotional health, health problems, satisfaction with income, and financial problems. Rejected hypotheses predicted significant correlations between dyadic quality and independent variables of household income, gender, age, and years in the marriage. Also rejected were hypotheses predicting significant differences in dyadic quality among groups of retirees and spouses differentiated by retirement status and gender. Some differences in dyadic quality were registered among respondents reporting different levels of satisfaction with retirement and with life but the results were inconclusive and warrant further study.
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