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Measures of Anchoring in Estimation Tasks

Personality and Social Psychology Bulletin · 1995 · Vol. 21(11) · pp. 1161–1166
Karen E. JacowitzDaniel Kahneman

Abstract

The authors describe a method for the quantitative study of anchoring effects in estimation tasks. A calibration group provides estimates of a set of uncertain quantities. Subjects in the anchored condition first judge whether a specified number (the anchor) is higher or lower than the true value before estimating each quantity. The anchors are set at predetermined percentiles of the distribution of estimates in the calibration group (15th and 85th percentiles in this study). This procedure permits the transformation of anchored estimates into percentiles in the calibration group, allows pooling of results across problems, and provides a natural measure of the size of the effect. The authors illustrate the method by a demonstration that the initial judgment of the anchor is susceptible to an anchoring-like bias and by an analysis of the relation between anchoring and subjective confidence.

Decision-Making and Behavioral EconomicsBayesian Modeling and Causal InferenceForecasting Techniques and ApplicationsAnchoringPoolingPercentileCalibrationStatisticsSet (abstract data type)EstimationPsychologyEconometricsMeasure (data warehouse)
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References
Judgment under Uncertainty: Heuristics and Biases
Science · 1974 · 27,472 citations
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