Shen Chanchan, Wang Mufan, Ding Tongjun, Yang Yang, Cabanyes-Truffino Javier, Sun Lijun, Wang Chu, Wang Wei
Department of Clinical Psychology and Psychiatry, School of Public Health, Zhejiang University College of Medicine, Hangzhou, China,
Faculty of Psychology, Universidad Complutense de Madrid, Madrid, Spain.
Psychol Res Behav Manag. 2018 Dec 11;11:617-629. doi: 10.2147/PRBM.S190038. eCollection 2018.
Previous studies of musical emotion largely depended on the lexical approach which suffered from overlaps between emotions.
In the present study, we explored emotional domains through a dimensional approach based on the intensity ratings on the emotion perceived in music. Altogether, 488 university students were invited to listen to 60 musical excerpts (most of them classical), to rate the intensity of emotion perceived without naming the emotion. Later, we conducted the exploratory factor analysis on the intensity ratings to look for the latent structures of musical emotion and then applied the confirmatory factor analysis to verify the validity of the proposed model of emotional structure.
After first- and second-order factor analyses, seven emotional factors (domains, with 38 musical excerpts) were identified: Happiness, Tenderness, Sadness, Passion, Anger, Anxiousness, and Depression, which formed a satisfactory model. No gender difference was found regarding the perceived intensity of musical emotion.
Our study has offered evidence to delineate basic musical emotions into seven domains.
以往关于音乐情感的研究很大程度上依赖于词汇法，而这种方法存在情感之间的重叠问题。
在本研究中，我们通过一种维度方法来探索情感领域，该方法基于对音乐中所感知到的情感的强度评级。总共邀请了488名大学生聆听60段音乐片段（其中大部分是古典音乐），对所感知到的情感强度进行评级，而不提及情感的名称。之后，我们对强度评级进行探索性因素分析，以寻找音乐情感的潜在结构，然后应用验证性因素分析来验证所提出的情感结构模型的有效性。
经过一阶和二阶因素分析，确定了七个情感因素（领域，包含38段音乐片段）：快乐、温柔、悲伤、激情、愤怒、焦虑和抑郁，它们构成了一个令人满意的模型。在音乐情感的感知强度方面未发现性别差异。
我们的研究为将基本音乐情感划分为七个领域提供了证据。
