Quantifying Qualitative Decision Trees For Multi-Respondent Decision-Making: Theory And A Program Evaluation Application

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A method for quantifying qualitative decision trees is presented and applied within a program evaluation setting. The approach combines Likert type scales with decision trees and develops a mathematical curve based on the associated set of means and standard deviations. Depending upon where the respondent's result plots, one of six different decision conditions are suggested.

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