A path analysis model of life satisfaction is proposed and applied to data from interviews with 141 persons aged 60 years and over. Predictor variables examined are self-reported health, income, education and an activity index. The analysis was conducted separately for the two sexes. Health and activity emerge as strong predictors of life satisfaction while income influences life satisfaction indirectly via activity. The importance of investigating direct and indirect effects of variables via path analysis is discussed.
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