Predicting the dimensions of life satisfaction.
Taking multidimensional life satisfaction as the basic premise of this study, a four-equation multiple regression model was constructed for its prediction. The set of regressors included some conventional biographical characteristics, a number of activity variables, and three indicators of retirement experience. A stepwise regression estimation method was adopted. Results indicated that the pattern of regressor influence varied greatly between equations, providing fairly specific evidence on a number of previously espoused hypotheses. In particular, the Activity perspective on aging was found to be important in the prediction of over-all affect or mood tone, but of little relevance for the other dimensions of life satisfaction, and a modicum of support for the Disengagement perspective was observed.
D000339:Affect; D000368:Aged; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009013:Morale; D010549:Personal Satisfaction; D010684:Philosophy; D011788:Quality of Life; D012044:Regression Analysis; D012179:Retirement