To establish the predictive validity of ethnic identi
fication measures, respondents in the Montreal Urban
Community were surveyed and measured on a variety
of ethnic dimensions. The data was then fed to a clustering
algorithm. Two-group clustering assignments were then
compared to traditional taxonomic measures. It is shown
that some measures do an excellent job in classifying
respondents, while others, which are commonly used in
practice, do not fare as well.
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