Evidence map›Paper›PMID 38778780›Full record

ArticlePerception2024

The psychometrics of rating facial attractiveness using different response scales.

Robin S S Kramer, Kay L Ritchie, Tessa R Flack, Michael O Mireku, Alex L Jones

Abstract read
In one paragraph

Article in Perception, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Robin S S KramerUniversity of Lincoln, UK.ORCID 0000-0001-8339-8832
Kay L RitchieUniversity of Lincoln, UK.ORCID 0000-0002-1348-760X
Tessa R FlackUniversity of Lincoln, UK.ORCID 0000-0002-4115-4466
Michael O MirekuUniversity of Lincoln, UK.
Alex L JonesSwansea University, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perceiving facial attractiveness is an important behaviour across psychological science due to these judgments having real-world consequences. However, there is little consensus on the measurement of this behaviour, and practices differ widely. Research typically asks participants to provide ratings of attractiveness across a multitude of different response scales, with little consideration of the psychometric properties of these scales. Here, we make psychometric comparisons across nine different response scales. Specifically, we analysed the psychometric properties of a binary response, a 0-100 scale, a visual analogue scale, and a set of Likert scales (1-3, 1-5, 1-7, 1-8, 1-9, 1-10) as tools to measure attractiveness, calculating a range of commonly used statistics for each. While certain properties suggested researchers might choose to favour the 1-5, 1-7 and 1-8 scales, we generally found little evidence of an advantage for one scale over any other. Taken together, our investigation provides consideration of currently used techniques for measuring facial attractiveness and makes recommendations for researchers in this field.

Indexed as

BeautyFacePsychometricsAdolescentAdultFacial RecognitionFemaleHumansJudgmentMaleVisual Analog ScaleYoung Adultface perceptionfacial attractivenesspsychometricresponse scale

Identifiers

PMID38778780
PMCPMC11348630

What OpenQuestion holds

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LicenceCC BY-NC
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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.