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The psychometrics of rating facial attractiveness using different response scales.
Kramer, Robin S S; Ritchie, Kay L; Flack, Tessa R; Mireku, Michael O; Jones, Alex L.
Afiliação
  • Kramer RSS; University of Lincoln, UK.
  • Ritchie KL; University of Lincoln, UK.
  • Flack TR; University of Lincoln, UK.
  • Mireku MO; University of Lincoln, UK.
  • Jones AL; Swansea University, UK.
Perception ; 53(9): 645-660, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38778780
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicometria / Beleza / Face Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: Perception Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicometria / Beleza / Face Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: Perception Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido