Kafka, Garrett J. (2000) An analysis of the relationship between subjective well-being and its predictors. Masters thesis, Memorial University of Newfoundland.
- Accepted Version
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This thesis examined two issues with respect to subjective well-being. These issues were: a) enhanced prediction of subjective well-being by the use of multiple predictor classes, and b) the relationship between subjective well-being and it's predictors. Two hundred seventy-seven participants ranging in age from 18 to 48 years were administered the Memorial University of Newfoundland Scale of Happiness (MUNSH), the Satisfaction with Life Scale (SWLS), the NEO Five-Factor Personality Inventory (NEO-FFI), a daily hassles and uplifts scale, two personality resource measures, and a domain satisfactions scale. Simultaneous examination of various predictor classes enhanced prediction of subjective well-being. Environmental variables, life domains, personality resources, and personality traits accounted for 59% of total variance in subjective well-being as measured by the MUNSH. However, only environmental variables, life domains, and personality resources made an independent contribution to an explanation of SWLS variance. In combination, these variables account for 48% of variance in SWLS scores. As in past research, a bi-directional model which includes both state (bottom-up) and trait (top-down) effects best explains the relationship between predictors and subjective well-being.
|Item Type:||Thesis (Masters)|
|Additional Information:||Bibliography: leaves 55-69.|
|Department(s):||Humanities and Social Sciences, Faculty of > Psychology
Science, Faculty of > Psychology
|Library of Congress Subject Heading:||Happiness--Testing; Contentment--Testing|
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