Judgment Modeling for Effective Policy and Decision Making. Volumes I through IV.
Abstract
This manaual is intended to provide the analyst with a framework for application of analytical tools to the study and modeling of the human judgment process. The primary topics included: design, data collection, model formulation, and implementation with controls. The discussion of experimental design considerations as well as physical and psychological constraints that should affect the design. A variety of collection procedures are discussed and some of the advantages and disadvantages of each are presented. The principal analytical tools for model formulation which are discussed include: Multiple Linear Regression, Analysis of Variance (ANOVA), Automatic Interaction Detection (AID), Judgment Analysis (Jan), Factor Analysis, Cluster Analysis and several new non-parametric modeling techniques. The final topic discussed is the implemenation of judgment models with the necessary controls to maintain model validity and usefulness. Experimental data from several judgment modeling experiments are utilized in numberous computational examples presented to illustrate the analytical techniques.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 31, 1975
- Accession Number
- ADA033186
Entities
People
- Gerald R. Wagner
- Jay L. Summers
- Kirk M. Jones
- Lawrence S. Mannis
- Lester R. Martin
Organizations
- University of Texas at Austin