Quantifying Qualitative Decision Trees for Multi-Respondent Decision-Making

Theory and a Program Evaluation Application

Authors

  • Rick Roskin
  • Austin Redlack Memorial University of Newfoundland St. John's, Newfoundland

DOI:

https://doi.org/10.3138/cjpe.3.002

Abstract

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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Published

1988-09-01

How to Cite

Roskin, R., & Redlack, A. (1988). Quantifying Qualitative Decision Trees for Multi-Respondent Decision-Making: Theory and a Program Evaluation Application. Canadian Journal of Program Evaluation, 3(2), 17–34. https://doi.org/10.3138/cjpe.3.002

Issue

Vol. 3 No. 2 (1988): Fall

Section

Articles

License

Copyright (c) 1988 Rick Roskin, Austin Redlack

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