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Students in two Australian tertiary institutions completed Form E of the Rokeach Value Survey. Multidimensional scaling and clustering were applied to the two sets of data so obtained. For each data set, ranks for the full set of 36 values, the set of 18 terminal values alone, and the set of 18 instrumental values alone, were intercorrelated and the rank-order correlations taken as measures of proximity between values. Dimensions resulting from the multidimensional scaling analyses were found to be fairly readily interpretable and to be comparable in part with the results of an earlier analysis by Rokeach using factor analysis and scaling. Correspondence between solutions obtained from the two data sets was quite high. The clustering analysis revealed no extensive “clumping” of values or tight subgroupings.
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