Abstract
Quantitative applications of policy analysis has been limited by the mathematical basis upon which it is founded. Policymakers may be skeptical of advice based on methods they do not fully comprehend. Graphically displaying the results enhances the ability of less quantitative policy actors to understand the meaning of common and, in many cases, inexpensive microcomputer spreadsheet programs available today. As an example, sensitivity analyses based on Nagel's "P/G Percentage Analysis" are graphically demonstrated. It is hoped that an enhanced ability to communicate such results will improve the climate for better public policy.
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