Abstract
In this investigation the distribution of responses on an anomia index (Srole's anomia scale) was examined for a national probability sample of the elderly. Step-wise multiple regression procedures were used to determine the relative importance of the independent variables in explaining the variation of anomia. Of the zero-order correlations, the “sociological” variables, e.g., education, work status, occupational prestige, and yearly income, were the strongest correlates of anomia. The social psychological variables, viz., various attitudinal and perceptual phenomena, also exhibited reasonably strong correlations. Those variables labeled “activity/organizational,” e.g., various indices of social engagement, revealed the lowest correlations. In step-wise regression analysis six statistically significant explanatory variables were, in descending order: (1) a judgment of one's relative financial standing, (2) city size, (3) race, (4) work status, (5) education, and (6) occupational prestige.

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