关于用评分尺度模型评估多种物品位置并测试其适合性的注释
1Michigan State University, East Lansing, USA.
Educational and psychological measurement
|November 20, 2024
概括
本研究介绍了评级级模型中的参数估计的新方法,这对于分析多种项目和评估数据很有用. 该程序增强了测量仪器和模型适合研究的评估.
科学领域:
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
- 教育测量的教育测量.
背景情况:
- 评级规模模型被广泛用于分析多种项目的数据.
- 现有的参数估计和模型匹配测试方法可能很复杂.
- 需要在实证研究中适用的可访问的程序.
研究的目的:
- 概述评级尺度模型的位置参数点和间隔估计程序.
- 在潜变量建模框架内开发一种方法.
- 为了方便对评级尺度模型的适合度的测试.
主要方法:
- 隐性变量建模框架. 隐性变量建模框架.
- 开发用于点和间隔估计的程序.
- 使用流行的统计软件的应用程序.
- 评级尺度模型的合适性测试.
主要成果:
- 建立了参数估计的实用程序.
- 该方法允许进行可靠的适合性测试.
- 这种方法在经验环境中很容易适用.
- 该程序有助于检查测量仪器的功能.
结论:
- 概述的程序为使用评级尺度模型的研究人员提供了有价值的工具.
- 它增强了对多种类型物品数据和评估的分析.
- 该方法支持对测量仪器和模型假设的严格评估.
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