Abstract
Judgment Analysis is presented as a technique for capturing and clustering unidimensional policies among a group of judges or evaluators. JAN utilizes a multiple linear regression model to represent each policy and then cluster evaluators together who are expressing similar policies. JAN is extended to a multidimensional situation in which a modified and simplified Canonical JAN (C-JAN) procedure for capturing policies on more than two criteria is described. Both unidimensional and multidimensional JAN procedures should be of general interest to the evaluation methodologist.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 1987 Samuel R. Houston (Author)
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