Evidence map›Paper›PMID 28569526›Full record

ArticlePsychological review2017

Noisy preferences in risky choice: A cautionary note.

Sudeep Bhatia, Graham Loomes

Abstract read
In one paragraph

Article in Psychological review, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Discourse on measurement.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Optimal utility and probability functions for agents with finite computational precision.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Article
  9. Article
  10. A QALY loss is a QALY loss is a QALY loss: a note on independence of loss aversion from health states.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sudeep BhatiaDepartment of Psychology, University of Pennsylvania.
Graham LoomesBehavioural Science Group, Warwick Business School, University of Warwick.

Funding

Economic and Social Research Council
6 · The paper itself

Abstract

We examine the effects of multiple sources of noise in risky decision making. Noise in the parameters that characterize an individual's preferences can combine with noise in the response process to distort observed choice proportions. Thus, underlying preferences that conform to expected value maximization can appear to show systematic risk aversion or risk seeking. Similarly, core preferences that are consistent with expected utility theory, when perturbed by such noise, can appear to display nonlinear probability weighting. For this reason, modal choices cannot be used simplistically to infer underlying preferences. Quantitative model fits that do not allow for both sorts of noise can lead to wrong conclusions. (PsycINFO Database Record

Indexed as

Choice BehaviorDecision MakingRisk-TakingHumansProbabilityRisk

Identifiers

PMID28569526
PMCPMC5619393

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.