评估音乐专业知识

IF 1.3 2区 心理学 0 MUSIC
Ziyong Lin, A. Werner, U. Lindenberger, A. Brandmaier, Elisabeth Wenger
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引用次数: 0

摘要

我们介绍柏林Gehoerbildung量表(BGS),这是对业余音乐家和音乐专业人士的音乐专业知识的多维评估。BGS以音乐理论为基础,采用多种耳训练传统的测试方法,包括四个不同方面的音乐专业知识:(1)音程和音阶,(2)听写,(3)和弦和节奏,(4)复杂听力。我们在业余音乐家、有抱负的专业音乐家和竞争激烈的音乐学院的学生(n = 59)的样本中验证了该测试。利用结构方程模型,我们比较了两个因素模型:一维模型假设一个单一因素的音乐专长;以及一个层次模型,根据该模型,四个一阶子尺度因子负载在一般音乐专业知识的二阶因子上。层次模型比一维模型更适合于数据,表明四个子量表捕获了超出音乐专业一般因素的可靠方差。在二阶一般因素和四个分量表上都存在可靠的群体差异,音乐学生的表现优于有抱负的专业人士和业余音乐家。我们得出结论,BGS是评估音乐专业知识个体差异的适当测量工具,特别是在高水平的专业知识中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Music Expertise
We introduce the Berlin Gehoerbildung Scale (BGS), a multidimensional assessment of music expertise in amateur musicians and music professionals. The BGS is informed by music theory and uses a variety of testing methods in the ear-training tradition, with items covering four different dimensions of music expertise: (1) intervals and scales, (2) dictation, (3) chords and cadences, and (4) complex listening. We validated the test in a sample of amateur musicians, aspiring professional musicians, and students attending a highly competitive music conservatory (n = 59). Using structural equation modeling, we compared two factor models: a unidimensional model postulating a single factor of music expertise; and a hierarchical model, according to which four first-order subscale factors load on a second-order factor of general music expertise. The hierarchical model showed better fit to the data than the unidimensional model, indicating that the four subscales capture reliable variance above and beyond the general factor of music expertise. There were reliable group differences on both the second-order general factor and the four subscales, with music students outperforming aspiring professionals and amateur musicians. We conclude that the BGS is an adequate measurement instrument for assessing individual differences in music expertise, especially at high levels of expertise.
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来源期刊
Music Perception
Music Perception Multiple-
CiteScore
3.70
自引率
4.30%
发文量
22
期刊介绍: Music Perception charts the ongoing scholarly discussion and study of musical phenomena. Publishing original empirical and theoretical papers, methodological articles and critical reviews from renowned scientists and musicians, Music Perception is a repository of insightful research. The broad range of disciplines covered in the journal includes: •Psychology •Psychophysics •Linguistics •Neurology •Neurophysiology •Artificial intelligence •Computer technology •Physical and architectural acoustics •Music theory
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