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Evaluating Classification Schemes Used in Reporting Criminal Justice Data
Three methodological topics are developed within the context of presenting statistical information through the use of some a priori classification schemes. First, a strategy is defined for evaluating the utility of a given classification that is based on, say, spatial contiguity or population. A heu...
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Published in: | Evaluation review 1982-08, Vol.6 (4), p.505-520 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Three methodological topics are developed within the context of presenting statistical
information through the use of some a priori classification schemes. First, a strategy is
defined for evaluating the utility of a given classification that is based on, say, spatial
contiguity or population. A heuristic optimization technique is then suggested as a way of constructing possibly better categorizations from secondary data sources. Finally, a
method is given for comparing the adequacy of any two different classifications.
Throughout the paper we discuss an example that involves crime rate data for 40 cities in
the Los Angeles area |
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ISSN: | 0193-841X 1552-3926 |
DOI: | 10.1177/0193841X8200600403 |