University of Lincoln, UK.
Swansea University, UK.
Perception. 2024 Sep;53(9):645-660. doi: 10.1177/03010066241256221. Epub 2024 May 23.
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.
感知面部吸引力是心理学研究中的一项重要行为,因为这些判断会产生真实世界的后果。然而,对于这种行为的衡量方法还没有达成共识,实践中差异很大。研究通常要求参与者在多种不同的反应量表上对吸引力进行评分,而很少考虑这些量表的心理测量特性。在这里,我们对九种不同的反应量表进行了心理测量比较。具体来说,我们分析了二进制反应、0-100 量表、视觉模拟量表和一组李克特量表(1-3、1-5、1-7、1-8、1-9、1-10)作为衡量吸引力的工具,为每个量表计算了一系列常用的统计数据。虽然某些特性表明研究人员可能倾向于选择 1-5、1-7 和 1-8 量表,但我们普遍发现,一种量表并不比其他量表具有优势。总的来说,我们的调查考虑了目前用于衡量面部吸引力的技术,并为该领域的研究人员提出了建议。