Part/whole percentaging as a useful method in policy/program evaluation

Abstract Part/whole percentaging analysis is a simple and meaningful way of evaluating alternative policies, decisions, or other options with multiple goals measured on different dimensions. That kind of analysis involves converting the raw scores of each alternative policy on each goal into a part/whole percentage by summing the raw scores for each goal and dividing each raw score by the total. One can then sum the part/whole percentages across the goals for each policy after assigning at least tentative relative weights to each goal. Part/whole percentages are added for goals that one would like to maximize and are subtracted for goals that one would like to minimize. Where the relative weight of a goal or score is too difficult to determine, one can determine the threshold value at which there is a tie between the tentative first choice and the second choice, and then just determine whether the actual value is above or below the threshold value. The aggregated part/whole percentages for each policy can be used to choose the best policy, the best subset of policies, or to allocate a budget across the policies in proportion to their aggregated part/whole percentages.