Institute of Medical Psychology and Medical Sociology, University Hospital of the RWTH Aachen University, Aachen, Germany.
Behav Res Methods. 2023 Aug;55(5):2669-2686. doi: 10.3758/s13428-022-01921-5. Epub 2022 Aug 12.
To enable flexible and controlled research on personality, information processing, and interactions in socio-emotional contexts, the availability of highly controlled stimulus material, especially trait words and related attributes, is indispensable. Existing word databases contain mainly nouns and rating dimensions, and their role in studies within socio-emotional contexts are limited. This study aimed to create an English list of traits (ELoT), a database containing 500 trait adjectives rated by a large sample (n = 822, 57.42% female). The rating categories refer to the perceived valence associated with the traits and their social desirability and observability. Participants of different ages (18 to 65 years of age) and educational levels rated the words in an online survey. Both valence and social desirability ratings showed a bimodal distribution, indicating that most traits were rated either positive (respectively socially desirable) or negative (respectively socially undesirable), with fewer words rated as neutral. For observability, a bell-shaped distribution was found. Results indicated a strong association between valence and social desirability, whereas observability ratings were only moderately associated with the other ratings. Valence and social desirability ratings were not related to participants' age or gender, but observability ratings were different for females and males, and for younger, middle-aged, and older participants. The ELoT is an extensive, freely available database of trait norms. The large sample and the balanced age and gender distributions allow to account for age- and gender-specific effects during stimulus selection.
为了能够灵活且有针对性地研究人格、信息处理和社会情感背景下的相互作用,高度可控的刺激材料,尤其是特质词及其相关属性的可用性是不可或缺的。现有的词汇数据库主要包含名词和评价维度,它们在社会情感背景下的研究中的作用是有限的。本研究旨在创建一个英文特质词列表(ELoT),这是一个包含 500 个特质形容词的数据库,这些形容词由一个大样本(n=822,57.42%为女性)进行了评价。评价类别是指与特质相关的感知效价及其社会期望度和可观察性。不同年龄(18 至 65 岁)和教育程度的参与者在在线调查中对这些词进行了评价。效价和社会期望度评价都呈现双峰分布,表明大多数特质被评为正面(相应的社会期望度高)或负面(相应的社会期望度低),而被评为中性的词较少。对于可观察性,发现了一个钟形分布。结果表明,效价和社会期望度之间存在很强的关联,而可观察性评价与其他评价的关联程度适中。效价和社会期望度评价与参与者的年龄或性别无关,但可观察性评价因女性和男性以及年轻、中年和老年参与者而异。ELoT 是一个广泛的、免费的特质规范数据库。该大样本和平衡的年龄和性别分布允许在刺激选择过程中考虑到年龄和性别特异性的影响。