1 Department of Marketing, The Wharton School of the University of Pennsylvania.
2 Computation & Neural Systems, California Institute of Technology.
Psychol Sci. 2018 Jul;29(7):1145-1158. doi: 10.1177/0956797618761659. Epub 2018 Mar 27.
Research over the past decade has shown that various personality traits are communicated through musical preferences. One limitation of that research is external validity, as most studies have assessed individual differences in musical preferences using self-reports of music-genre preferences. Are personality traits communicated through behavioral manifestations of musical preferences? We addressed this question in two large-scale online studies with demographically diverse populations. Study 1 ( N = 22,252) shows that reactions to unfamiliar musical excerpts predicted individual differences in personality-most notably, openness and extraversion-above and beyond demographic characteristics. Moreover, these personality traits were differentially associated with particular music-preference dimensions. The results from Study 2 ( N = 21,929) replicated and extended these findings by showing that an active measure of naturally occurring behavior, Facebook Likes for musical artists, also predicted individual differences in personality. In general, our findings establish the robustness and external validity of the links between musical preferences and personality.
过去十年的研究表明，各种人格特质可以通过音乐偏好来传递。该研究的一个局限性在于外部有效性，因为大多数研究都是通过自我报告的音乐类型偏好来评估音乐偏好的个体差异。人格特质是否通过音乐偏好的行为表现来传递？我们在两个具有不同人口统计学特征的大型在线研究中解决了这个问题。研究 1（N=22252）表明，对不熟悉的音乐片段的反应可以预测人格的个体差异——尤其是开放性和外向性——超过了人口统计学特征。此外，这些人格特质与特定的音乐偏好维度有差异相关。研究 2（N=21929）的结果复制并扩展了这些发现，表明对自然发生的行为（如对音乐艺术家的 Facebook 点赞）的积极测量也可以预测人格的个体差异。总的来说，我们的研究结果确立了音乐偏好和人格之间联系的稳健性和外部有效性。
