已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Relationship between personality and music preference: Psychometric adaptation of the music preference scales in a Chinese sample

心理学 偏爱 人格 样品(材料) 适应(眼睛) 社会心理学 五大性格特征 认知心理学 统计 数学 色谱法 神经科学 化学
作者
Yifan Wang,Weina Qu,Yan Ge
出处
期刊:Musicae Scientiae [SAGE Publishing]
卷期号:29 (1): 109-130 被引量:3
标识
DOI:10.1177/10298649241287072
摘要

Individuals evidently have different tastes in and preferences for music. The purpose of this study was to develop two scales for measuring music preference based on genres (text-based) and excerpts (clip-based), using a Chinese sample to explore the relationship between music preference and personality. Specifically, we collected measures of people’s self-reported preferences for a wide range of music genres for further analysis in Study 1. In Study 2, we developed two music preference scales based on the genres identified in Study 1, one text- and the other clip-based. The results of two principal component analyses suggest three-dimensional psychological structures of music preference using both versions of the scale: (1) Traditional and Retro, (2) Exotic and Complex, and (3) Intense and Rebellious. Correlation and regression analyses of music preferences and personality also indicated that music preference is a relatively stable construct that reflects personality traits. Moreover, the three factors identified from the results of studying music preferences in a Chinese sample differ from those identified in studies of music preference in Western countries, suggesting that music preference is influenced by culture. The two scales yielded similar but slightly different outcomes reflecting their discrete emphases and characteristics; they can be used separately or together, depending on the research topic and question. In this study we verified the structure of music preference among a Chinese sample. It provides a reference point for theoretical research on music preference and personality and has practical applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
充电宝应助弎夜采纳,获得10
1秒前
1秒前
眰晌完成签到 ,获得积分10
1秒前
幽默依凝发布了新的文献求助10
2秒前
3秒前
昭仪完成签到 ,获得积分10
4秒前
5秒前
西瓜西瓜发布了新的文献求助10
8秒前
8秒前
晴天发布了新的文献求助10
8秒前
11秒前
11秒前
12秒前
12秒前
搜集达人应助NoGifTS采纳,获得10
13秒前
14秒前
14秒前
15秒前
chang发布了新的文献求助10
15秒前
西瓜西瓜发布了新的文献求助10
17秒前
17秒前
瓦菲发布了新的文献求助10
17秒前
江锦雯完成签到,获得积分20
18秒前
molihuakai应助呜呼啦呼采纳,获得10
19秒前
20秒前
绿豆汤完成签到,获得积分10
20秒前
细心秀发发布了新的文献求助10
21秒前
慕青应助伶俐的高烽采纳,获得10
22秒前
23秒前
26秒前
26秒前
西瓜西瓜发布了新的文献求助10
27秒前
魔幻日记本给魔幻日记本的求助进行了留言
27秒前
故意的不可完成签到,获得积分10
28秒前
zbh发布了新的文献求助30
29秒前
29秒前
上官若男应助xxc采纳,获得10
30秒前
33秒前
33秒前
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6522568
求助须知:如何正确求助?哪些是违规求助? 8315799
关于积分的说明 17791403
捐赠科研通 5624710
什么是DOI,文献DOI怎么找? 2927983
邀请新用户注册赠送积分活动 1904739
关于科研通互助平台的介绍 1764781