评估调整的R-平方和R-平方指数的变化:一个潜在的变量方法应用程序.
Tenko Raykov1, Christine DiStefano2
1Michigan State University, E. Lansing, MI, USA.
Educational and psychological measurement
|April 15, 2025
概括
本研究引入了一种新方法,用于估计嵌套线性模型的调整R平方的差异. 这种方法为模型选择提供了比传统的R平方变化测试更全面的信息.
科学领域:
- 统计 统计 统计 统计
- 计量经济学 计量经济学
- 心理测量 心理测量 心理测量
背景情况:
- 嵌套线性模型经常用于统计分析.
- 模型选择通常依赖于R平方变化统计和显著性测试.
- 现有的比较调整后R平方的方法提供有限的信息.
研究的目的:
- 为嵌套线性模型介绍一种用于间隔估计调整R平方差异的新方法.
- 为标准R平方变化统计提供一个更具信息性的替代方案.
- 为了促进在实证研究中强大的模型选择.
主要方法:
- 开发了一种用于计算调整后R平方差异的置信区间的程序.
- 该方法还为标准R平方和个别模型的调整R平方产生置信区间.
- 该程序旨在通过常见的统计软件轻松实施.
主要成果:
- 对调整后的R平方差异的间隔估计提供了比传统的显著性测试更有信息的评估.
- 该方法为相关的R平方尺度提供了同时的置信区间.
- 数字示例展示了该程序的实际应用和实用性.
结论:
- 建议的调整R平方差的间隔估计程序是模型选择的宝贵工具.
- 它通过提供更丰富的信息来补充和增强传统的R平方变化统计.
- 该方法适用于教育和心理学研究,有助于选择优越的嵌套线性模型.
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