ERIC Number: ED045723
Record Type: RIE
Publication Date: 1970-Jul
Reference Count: 0
Comparison of Bayesian and Regression Approaches to the Study of Information Processing in Judgment.
Slovic, Paul; Lichtenstein, Sarah
Most research on information utilization in judgment and decision making has followed two basic approaches: "regression" and "Bayesian." Each has characteristic tasks and characteristic information that must be processed to accomplish these tasks. There has been a tendency to work within a single approach with minimal communication between the resultant subgroups of workers. This analysis of the approaches examines (a) the models developed for prescribing and describing the use of information; (b) the major experimental paradigms, including the types of judgment, prediction, and decision tasks and the kinds of information that have been available to the decision maker; (c) the key independent variables that have been manipulated; and (d) the major empirical results and conclusions. Topics discussed include the configural use of information, task or environmental determinants of information utilization, learning to use information, sequential effects upon information processing, strategies for combiming information, and techniques for aiding the decision-maker. Of particular interest is the degree to which the specific models and methods characteristic of different paradigms have directed attention to certain problem areas to the neglect of other equally important problems. Also of interest is whether a researcher studying a particular substantive problem could increase his understanding by employing other models and experimental methods. By laying bare the similarities and differences between each approach cross-method research may be facilitated. A comprehensive bibliography is provided. (Author/GS)
Publication Type: N/A
Education Level: N/A
Sponsor: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.
Authoring Institution: Oregon Research Inst., Eugene.