
Accession Number : ADA132759
Title : A Comparison of Importance Weights for Multiattribute Utility Analysis Derived from Holistic, Indifference, Direct Subjective and Rank Order Judgments.
Descriptive Note : Research rept.,
Corporate Author : UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES SOCIAL SCIENCE RESEARCH INST
Personal Author(s) : John,Richard S ; Edwards,Ward ; Collins,Linda
PDF Url : ADA132759
Report Date : Jun 1980
Pagination or Media Count : 46
Abstract : Research done in the 1960's and early 1970's suggested that although statistical weights and subjective weights show some correspondence in regressionlike situations, subjective weights tend to be too flat by comparison; statistical weights usually show that some attributes are quite important, while others are hardly important at all. More recent discussions of this literature, however, have pointed out a number of methodological problems with much of the early research, and have reached a more optimistic conclusion with respect to subjective weights. Several experiments support the more recent interpretation. The present study compared weight estimation procedures for additive, riskless, fourattribute value functions with linear singleattribute values. Selfexplicated (subjective) weights were assessed from direct subjective and rank order estimates of attribute importance; observerderived weights were determined both from indifference judgments (axiomatic approach) and from holistic evaluations (statistical approach) of alternatives. Assessed weights were compared to a true weight vector used to generate feedback during preassessment learning trials (constructed with zero interattribute correlations). Although selfexplicated weights tended to be flatter than observerderived weights, resulting composites correlated equally well with true composites. Only slight differences were found in ordinal correspondence between true and assessed weights.
Descriptors : *Decision theory, *Weighting functions, Probability, Rank order statistics
Subject Categories : Psychology
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE