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Loss Aversion Reflects Information Accumulation, Not Bias: A Drift-Diffusion Model Study

Overview of attention for article published in Frontiers in Psychology, October 2017
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Loss Aversion Reflects Information Accumulation, Not Bias: A Drift-Diffusion Model Study
Published in
Frontiers in Psychology, October 2017
DOI 10.3389/fpsyg.2017.01708
Pubmed ID
Authors

Summer N. Clay, John A. Clithero, Alison M. Harris, Catherine L. Reed

Abstract

Defined as increased sensitivity to losses, loss aversion is often conceptualized as a cognitive bias. However, findings that loss aversion has an attentional or emotional regulation component suggest that it may instead reflect differences in information processing. To distinguish these alternatives, we applied the drift-diffusion model (DDM) to choice and response time (RT) data in a card gambling task with unknown risk distributions. Loss aversion was measured separately for each participant. Dividing the participants into terciles based on loss aversion estimates, we found that the most loss-averse group showed a significantly lower drift rate than the other two groups, indicating overall slower uptake of information. In contrast, neither the starting bias nor the threshold separation (barrier) varied by group, suggesting that decision thresholds are not affected by loss aversion. These results shed new light on the cognitive mechanisms underlying loss aversion, consistent with an account based on information accumulation.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Master 11 15%
Researcher 9 13%
Student > Doctoral Student 7 10%
Student > Bachelor 4 6%
Other 7 10%
Unknown 21 29%
Readers by discipline Count As %
Psychology 21 29%
Neuroscience 7 10%
Economics, Econometrics and Finance 6 8%
Business, Management and Accounting 4 6%
Agricultural and Biological Sciences 4 6%
Other 6 8%
Unknown 24 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 March 2023.
All research outputs
#7,130,373
of 26,383,299 outputs
Outputs from Frontiers in Psychology
#10,048
of 35,221 outputs
Outputs of similar age
#102,633
of 338,084 outputs
Outputs of similar age from Frontiers in Psychology
#254
of 601 outputs
Altmetric has tracked 26,383,299 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 35,221 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,084 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 601 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.