Evidence map›Paper›PMID 39625934›Full record

ArticleCognitive science2024

A Constant Error, Revisited: A New Explanation of the Halo Effect.

Chris Westbury, Daniel King

Abstract read
In one paragraph

Article in Cognitive science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Chris WestburyDepartment of Psychology, University of Alberta.ORCID 0000-0001-7788-0278
Daniel KingDepartment of Psychology, University of Alberta.

Funding

Natural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

Judgments of character traits tend to be overcorrelated, a bias known as the halo effect. We conducted two studies to test an explanation of the effect based on shared lexical context and connotation. Study 1 tested whether the context similarity of trait names could explain 39 participants' ratings of the probability that two traits would co-occur. Over 126 trait pairs, cosine similarity between the word2vec vectors of the two words was a reliable predictor of the human judgments of trait co-occurrence probability (cross-validated r

Indexed as

JudgmentAdultCharacterFemaleHumansLanguageMalePsycholinguisticsSemanticsYoung AdultCognitive biasDecision‐makingHalo effectHuman judgmentWord embedding models

Identifiers

PMID39625934
PMCPMC11614318

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.