Abstract
The Automatic Interaction Detector (AID3) was used to develop a model based on the interaction of predictors of life satisfaction. The sample consisted of 871 people over fifty-five years of age. Thirty-one potential predictors were used representing demographics, environmental variables, and social psychological variables. The findings indicate that nine predictors explained 22.1% of the variance in life satisfaction scores. The most important predictors of life satisfaction were family life satisfaction, personal health satisfaction, and satisfaction with dwelling. The interactions between the predictors indicated that a simple linear-monotonic relationship between the predictors was too restrictive.
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