结合倾向分数和测试分数等同的常见项目
Inga Laukaityte1, Gabriel Wallin2, Marie Wiberg3
1Department of Applied Educational Science, Umeå University, Sweden.
Applied psychological measurement
|August 4, 2025
概括
本研究引入了一种用于公平测试成绩比较的新统计方法. 将倾向分数与常见项目数据相结合,可以提高准确性,减少教育测试中的偏见.
科学领域:
- 统计 统计 统计 统计
- 教育测量教育的测量
- 心理测量 心理测量 心理测量
背景情况:
- 确保测试形式和组之间的得分可比性是教育测试中的一个关键挑战.
- 目前测试分数等同的方法通常依赖于共同的项目或组相似性的假设.
- 需要新的方法来提高测试成绩比较的公平性和准确性.
研究的目的:
- 开发和评估一种用于测试分数等同的新统计方法.
- 将基于背景共变量的倾向得分与常见项目信息相结合,以提高得分的可比性.
- 通过实证和模拟研究来评估这种综合方法的性能.
主要方法:
- 利用了从考生背景共变量中得出的倾向分数.
- 综合性倾向分数与使用内核平滑技术的共同项目信息.
- 进行了对高风险的大学入学考试和模拟研究的经验分析.
主要成果:
- 拟议的方法整合了倾向分数和常见项目数据,与单独使用任何来源相比,显示了较少的标准错误和偏差.
- 测试对象共变量的均衡组被证明可以提高分数比较的公平性和准确性.
- 该研究强调了利用所有可用的数据来提高得分可比性的好处.
结论:
- 这种新的方法通过整合倾向分数和常见项目信息,有效地提高了测试成绩的可比性.
- 这种方法提供了一种更强大,更准确的方式,以确保在不同群体的教育测试中公平.
- 考虑所有收集的数据,包括背景共变量,对于提高测试分数等级的精度至关重要.
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