时间动态,群体变化的增值模型.
Garritt L Page1, Ernesto San Martín2,3,4, David Torres Irribarra5
1Department of Statistics, Brigham Young University, Provo, USA.
Psychometrika
|June 22, 2024
概括
本研究介绍了两种动态方法来估计学校的附加值,以计算年度绩效变化. 纳入时间依赖性可以提高学校的有效性估计和随着时间的推移进行监测.
科学领域:
- 教育测量教育的测量
- 统计 统计 统计 统计
- 计量经济学 计量经济学
背景情况:
- 估计学校的附加值对于评估教育有效性至关重要.
- 传统的模型往往忽略了学生表现的年复一年的时间依赖.
- 了解学校有效性持久性需要动态估计方法.
研究的目的:
- 开发和评估用于动态估计学校随时间增值的方法.
- 为了明确地建模和解释学校成绩的时间依赖性.
- 用动态增值模型评估学校有效性的持续性.
主要方法:
- 提出了两种用于将时间依赖纳入增值模型的新方法.
- 方法1:使用自动回归过程建模随机学校效应.
- 方法2:根据前一个队列的表现建模队列表现.
主要成果:
- 模拟表明,忽视时间依赖会降低估计效率.
- 整合时间依赖性显著提高了附加值估计的准确性.
- 每个提出的模型都为监测学校持久性的特定方面提供了独特的见解.
结论:
- 对学校附加值的动态估计对于准确的有效性评估至关重要.
- 考虑到时间依赖,提高了附加值指标的可靠性和效率.
- 提出的方法提供了强大的工具来评估随时间推移的学校绩效趋势.
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