The purpose of this study is to augment the existing literature concerning the relationship between marital status, gender, social networks, and cohort effect on dimensions of subjective well-being for women. Multiple dimensions of subjective well-being are examined. Multiple regression and logistic regression are employed to examine the effects of marital status, social networks, and cohort effects on the dependent variables that tap the dimensions of subjective well-being. The analysis controls for age, race, education, income, religious attendance and region of residence. The findings report some inconsistency in regards to the current literature. Social networks and support are found to be the most constant independent predictor of subjective well-being. While the effects of being divorced and separated, as well as cohort membership, are not as consistent, the findings are notable and should be addressed in future research addressing subjective well-being.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-1929 |
| Date | 01 January 2006 |
| Creators | Coleman, Michelle |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
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