Abstract
A total of 32 retirement-age subjects (17 men and 15 women) provided information about their lives by rating each of their identities in terms of a list of self-generated features. They also rank-ordered their currently enacted identities in terms of time spent in each and completed a life-satisfaction questionnaire. The Identities X Features matrices were analyzed by algorithms that generated a hierarchical model of identity structure for each subject based on feature ratings. The hierarchical levels of identities were combined with time-spent rankings to obtain an index of personal style, a measure that reflected the unique organization of identities for each subject. Personal style indices were then correlated with life-satisfaction scores. Results confirmed the prediction that life satisfaction in this age group is a function of the amount of time spent in identities that give expression to multiple aspects of the self.

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