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Abstract

Factor analysis was used as a preliminary data analytic technique to delineate population profiles in a rural, poverty-level community. The technique was useful in defining the nature of sociological interdependencies in the population so that the heterogeneity in the community could be understood. Four factors identified as representing socio-economic status, age-work attitudes, morality, and participation dimensions were extracted from the correlation matrix.

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