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表演音乐家的流动状态的预测:使用逻辑回归方法进行分析
Laura Moral-Bofill1,2, Andrés López de la Llave2, Ma Carmen Pérez-Llantada2
1Escola Superior d'Estudis Musicals, ESEM, Taller de Músics, Barcelona, Spain.
Frontiers in psychology
|December 11, 2023
概括
表演音乐家可以通过专注于技能挑战平衡,明确目标和反来实现更高的流动状态. 表演情况也大大预测了流动,有助于音乐家的培训.
科学领域:
- 心理学 心理学 心理学
- 音乐表演 音乐表演
- 认知科学 认知科学
背景情况:
- 流动状态对音乐家至关重要,与最佳表现和减少焦虑相关.
- 现有的干预措施,以促进音乐家的流动显示不同的成功.
- 条件经验模型概述了实现流动的关键因素.
研究的目的:
- 为了确定表演音乐家中高流状态的最重要的预测因素.
- 分析条件经验模型组件和其他变量对流量的影响.
主要方法:
- 对163名音乐家 (18-65岁) 的数据进行了二进制后勤回归分析.
- 独立变量包括技能挑战平衡,明确的目标,明确的反,性别,年龄,奉献,音乐风格,乐器和表演情况.
主要成果:
- 技能挑战平衡,明确的目标,明确的反,以及表现情况积极预测的流动状态.
- 该模型解释了78%的流量状态变异,并实现了90.8%的正确分类率.
结论:
- 这些因素是音乐家达到高流量水平的关键预测因素.
- 了解内在动机对于表演者发展至关重要.
- 未来的研究应该探索个性变量对流动的影响.
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