Human Judgment and Decision Making: A Proposed Decision Model Using Sequential Processing
Abstract
This research effort developed, discussed and tested an alternative model of human judgment. Previous research has established the robustness and explanatory power of the linear compensatory decision model and documented evidence indicating a fundamental inability of the brain to process decision cue interactions. This research used policy capturing experiments to simulate human decision making in order to determine the explanatory power of a decision model based on processing decision cues in a sequential, cumulative fashion. This model is nonlinear and expands the limitations of previous decision models. A primary concern was the selection of weights used in either the compensatory or proposed decision models. Subjective weights supplied by the participants in two decision making exercises were compared with weights estimated for each model and with equally weighted cues. An analysis of variance was completed to determine the performance of the alternative models with each set of weights. It was concluded that the proposed decision model is a valid and innovative model of human judgment, particularly when equally weighted cues are used. The implications of a sequential model of judgment are discussed and applications to other research disciplines are presented.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1985
- Accession Number
- ADA174404
Entities
People
- Wade H. Shaw Jr