评估开放性体验的各个方面如何预测音乐偏好

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Fabio Setti, J. Kahn
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引用次数: 0

摘要

听音乐是一项广泛的活动。研究发现,对经验的开放性是最能预测音乐偏好的个性维度之一。然而,对经验开放的单一方面从未被深入研究过。本研究试图揭示人格五因素模型(FFM)和HEXACO模型的经验开放性方面对音乐偏好的影响。共有374名大学生完成了两项开放性体验测试(FFM和HEXACO)和一项音乐偏好测试(音乐选段评分)。与Rentfrow和他的同事一致,验证性因素分析(CFA)提出了音乐偏好的五个维度。使用优势分析(DA)来评估预测音乐偏好中每个方面的相对重要性。据观察,开放性方面与音乐偏好的关系并不明显,当一般的经验开放性被用作音乐偏好的预测指标时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating how facets of openness to experience predict music preference
Listening to music is a widespread activity. Openness to experience in particular has been found to be one of the dimensions of personality that most consistently predicts music preference. However, the singular facets of openness to experience have never been looked at in depth. This study tried to uncover the impact of the openness-to-experience facets of both the five-factor (FFM) and HEXACO models of personality on music preference. A total of 374 college students completed two openness-to-experience measures (FFM and HEXACO) and one music preference measure (ratings of music excerpts). In line with Rentfrow and colleagues, confirmatory factor analysis (CFA) suggested five dimensions of music preference. Dominance analysis (DA) was used to evaluate the relative importance of each facet in predicting music preference. It was observed that openness facets relate to music preference in ways that are not apparent when general openness to experience is used as a predictor of music preference.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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