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Context-dependent sensitivity to losses: Range and skew manipulations.
Lukasz Walasek1, Neil Stewart2
1Department of Psychology, University of Warwick.
Journal of Experimental Psychology. Learning, Memory, and Cognition
|October 26, 2018
Summary
Loss aversion, the idea that losses feel worse than gains, may be influenced by the rank of outcomes, not just their range. This study found rank effects impact decisions in gambles.
Area of Science:
- Cognitive Psychology
- Behavioral Economics
- Decision Science
Background:
- Loss aversion, the principle that losses loom larger than gains, is a cornerstone in explaining judgment and decision-making.
- It is commonly viewed as a stable individual trait, reflecting consistent sensitivity to financial gains and losses.
Purpose of the Study:
- To investigate whether context effects in decision-making, specifically loss aversion, are influenced by the rank position of outcomes rather than solely the range of possible gains and losses.
- To re-examine claims that manipulating the range of outcomes in accept-reject tasks can alter observed loss aversion.
Main Methods:
- Utilized skewed distributions of outcomes to manipulate the rank position of gains and losses.
- Maintained a constant range of possible outcomes across experimental conditions.
- Employed the accept-reject task to assess participants' propensity to accept mixed gambles.
Main Results:
- A small but robust effect of outcome skew (rank position) was observed on the propensity to accept mixed gambles.
- The magnitude of skew effects was comparable to range effects, though range effects were smaller than previously reported.
- Loss aversion could be attenuated, but a complete reversal, as reported by Walasek and Stewart (2015), was not replicated.
Conclusions:
- Rank effects, stemming from the perceived position of an outcome within a distribution, partially explain loss aversion in the accept-reject task.
- Findings suggest that decision-making is sensitive to the relative, or rank, value of outcomes, not just their absolute values or range.
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