Evidence map›Paper›PMID 39330468›Full record

ArticleJournal of Intelligence2024

Probabilistic Representation Differences between Decisions from Description and Decisions from Experience.

Dandan Nie, Zhujing Hu, Debiao Zhu, Jianyong Yang

Abstract read
In one paragraph

Article in Journal of Intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Dandan NieSchool of Psychology, Jiangxi Normal University, Nanchang 330022, China.
Zhujing HuSchool of Psychology, Jiangxi Normal University, Nanchang 330022, China.
Debiao ZhuSchool of Psychology, Jiangxi Normal University, Nanchang 330022, China.
Jianyong YangMental Health Service Center, Huanghuai University, Zhumadian 463000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For mathematically identical risky decisions, different choices can be made depending on whether information about outcomes and their probabilities is learned by description or by experience, known as the description-experience gap. However, it is unclear whether different ways of obtaining information lead to different representation forms of probability, resulting in a description-experience gap. The current study investigates the representation formats of the alternative options' probability for decisions from description and decisions from experience. The experiments measured the relative error of probability estimation in percentage and frequency forms for the two types of decisions in low and medium-to-large probability situations. The results demonstrate that for decisions from description in medium-to-large probability scenarios, the estimation error was lower in percentage form than in frequency form, with equally near-perfect estimates in small-probability scenarios. Nevertheless, in decisions from experience, the accuracy of estimation in percentage form was lower than in frequency form in both low and medium-to-large probability situations. This suggests that decision makers in decisions from description tend to represent the probability information in percentage form. However, in decisions from experience, they tend to represent probability in frequency form. The utilization of different formats for probability representation is one of the factors that contribute to the description-experience gap.

Indexed as

decision from descriptiondecision from experiencedecision makingdescription–experience gapfrequencypercentageprobabilityrepresentation

Identifiers

PMID39330468
PMCPMC11432890

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.