Evidence map›Paper›PMID 29931591›Full record

ArticlePsychological research2019

From reading numbers to seeing ratios: a benefit of icons for risk comprehension.

Elisabet Tubau, Javier Rodríguez-Ferreiro, Itxaso Barberia, Àngels Colomé

Abstract read
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In one paragraph

Article in Psychological research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  9. Natural frequency trees improve diagnostic efficiency in Bayesian reasoning.Advances in health sciences education : theory and practice · 2021
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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.

Elisabet TubauDepartament de Cognició, Desenvolupament i Psicologia de l'Educació, Facultat de Psicologia, Universitat de Barcelona, Passeig de la Vall d'Hebron, 171, 08035, Barcelona, Catalonia, Spain. etubau@ub.edu.ORCID http://orcid.org/0000-0002-6632-3772
Javier Rodríguez-FerreiroDepartament de Cognició, Desenvolupament i Psicologia de l'Educació, Facultat de Psicologia, Universitat de Barcelona, Passeig de la Vall d'Hebron, 171, 08035, Barcelona, Catalonia, Spain.
Itxaso BarberiaDepartament de Cognició, Desenvolupament i Psicologia de l'Educació, Facultat de Psicologia, Universitat de Barcelona, Passeig de la Vall d'Hebron, 171, 08035, Barcelona, Catalonia, Spain.
Àngels ColoméDepartament de Cognició, Desenvolupament i Psicologia de l'Educació, Facultat de Psicologia, Universitat de Barcelona, Passeig de la Vall d'Hebron, 171, 08035, Barcelona, Catalonia, Spain.

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca 2014-SGR-79Secretaría de Estado de Investigación, Desarrollo e Innovación PSI2013-41568-P
6 · The paper itself

Abstract

Promoting a better understanding of statistical data is becoming increasingly important for improving risk comprehension and decision-making. In this regard, previous studies on Bayesian problem solving have shown that iconic representations help infer frequencies in sets and subsets. Nevertheless, the mechanisms by which icons enhance performance remain unclear. Here, we tested the hypothesis that the benefit offered by icon arrays lies in a better alignment between presented and requested relationships, which should facilitate the comprehension of the requested ratio beyond the represented quantities. To this end, we analyzed individual risk estimates based on data presented either in standard verbal presentations (percentages and natural frequency formats) or as icon arrays. Compared to the other formats, icons led to estimates that were more accurate, and importantly, promoted the use of equivalent expressions for the requested probability. Furthermore, whereas the accuracy of the estimates based on verbal formats depended on their alignment with the text, all the estimates based on icons were equally accurate. Therefore, these results support the proposal that icons enhance the comprehension of the ratio and its mapping onto the requested probability and point to relational misalignment as potential interference for text-based Bayesian reasoning. The present findings also argue against an intrinsic difficulty with understanding single-event probabilities.

Indexed as

ComprehensionAdultBayes TheoremFemaleHumansMalePattern Recognition, VisualProblem SolvingReadingRepetition Priming

Identifiers

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Registered trials

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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.