在多个测试等价条件下,IRT参数的稳定性
Dominik Weber1, Nicolas Becker1, Frank M Spinath1
1Department of Individual Differences & Psychodiagnostics, Saarland University, Saarbrücken, Germany.
Frontiers in psychology
|January 28, 2026
概括
这项研究表明,低猜测概率和高点差异化提高了测试等级. 较大的测试集和点比例提高了参数恢复,大样本对于有效的等式化至关重要.
科学领域:
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
- 统计建模 统计建模
背景情况:
- 测试等级对于比较不同测试形式的结果至关重要.
- 项通常用于链接测试表格,但对等质量的研究有限.
- 以前的研究往往侧重于绝对参数偏差,忽视了与测试公平性相关的相关性.
研究的目的:
- 通过模拟研究来调查各种因素对测试等级质量的影响.
- 在不同的条件下评估物品响应理论 (IRT) 参数的相关性和恢复.
- 为改善测试等级的有效性和公平性提供见解.
主要方法:
- 使用三个IRT参数 (区分,难度,能力) 进行模拟测试等同.
- 多种等式方法,IRT模型 (2PL,3PL),猜测概率,点比例,测试集大小和点区分.
- 评估了25至1000个个体的样本大小等同质量.
主要成果:
- 低猜测概率和高点差异化显著改善了等价质量.
- 参数恢复随着更大的测试集尺寸和点比例增加.
- 样本大小低于100个是不充分的;100个或500个个人是合理的,但带有风险.
结论:
- 没有干扰的格式,高分辨率的点和大样本对于有效的测试等级至关重要.
- 结果为研究人员和测试开发人员提供了关于优化等同程序的指导.
- 为实际应用提供了一个全面的数据集和模拟指南.
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