A Comparison of Two Probability Encoding Methods: Fixed Probability vs. Fixed Variable Values

Ali E. Abbas (), David V. Budescu (), Hsiu-Ting Yu () and Ryan Haggerty ()
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Ali E. Abbas: Department of Industrial and Enterprise Systems Engineering, College of Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
David V. Budescu: Department of Psychology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801; and Department of Psychology, Fordham University, Bronx, New York 10458
Hsiu-Ting Yu: Department of Psychology, Methodology and Statistics Unit, Leiden University, 2300RB, Leiden, The Netherlands
Ryan Haggerty: Department of Materials Science and Engineering, College of Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801

Decision Analysis, 2008, vol. 5, issue 4, 190-202

Abstract: We present the results of an experiment comparing two popular methods for encoding probability distributions of continuous variables in decision analysis: eliciting values of a variable, X , through comparisons with a fixed probability wheel and eliciting the percentiles of the cumulative distribution, F ( X ), through comparisons with fixed values of the variable. We show slight but consistent superiority for the fixed variable method along several dimensions such as monotonicity, accuracy, and precision of the estimated fractiles. The fixed variable elicitation method was also slightly faster and preferred by most participants. We discuss the reasons for its superiority and conclude with several recommendations for the practice of probability assessment.

Keywords: probability elicitation; decision analysis; continuous distributions; fractile estimation (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (26)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ordeca:v:5:y:2008:i:4:p:190-202

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