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Model for the Selection, Design, and Evaluation of Performance Measures

NCJ Number
92509
Author(s)
S J Deutsch; C J Malmborg
Date Published
Unknown
Length
54 pages
Annotation
This study develops a methodology for structuring performance measure problems within a matrix framework.
Abstract
The methodology presented can be used to develop quantitative indices which are useful for augmenting the information available to decisionmakers faced with an ill-structured problem environment. The methodology is useful for selecting a set of measures for implementation from the set of all available measures, comparing measures and measure sets, analyzing the implications of measure policy, and designing new measures. Further, implementing the method requires the evaluator to approach the problem in an orderly manner. Its generality makes the method applicable in nearly any context where model components can be identified. Significant extensions to this research could include a methodology for evaluation of interactivity and intermeasure synergistic effects. Such a methodology could greatly enhance the usefulness of the matrix model in situations where strong interactions were thought to exist between measures and other model components. Additionally, the relationship between the determination of measure profiles and physical information sources could be clarified. This extension could enhance the ability of the matrix model to provide a tangible aid to measure design. The matrix model could also be embellished to find efficient ways for dealing with large-scale performance measurement problems. An example from the field of traffic law enforcement is presented, and the uses of the matrix representation are illustrated. (Author summary modified)