响应时间值评分程序的比较,以缓解来自快速猜测行为的偏差
1University of Minnesota Twin Cities, Minneapolis, USA.
Educational and psychological measurement
|June 20, 2024
概括
快速猜测 (RG),一种非努力的反应模式,可以扭曲测试结果. 将RG响应记录为缺失,并使用一维IRT模型似乎是最有效的准确的参数恢复.
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
- 认知心理学 认知心理学
背景情况:
- 快速猜测 (RG) 涉及短响应延迟和无努力的响应.
- RG可以引入构造无关异常,偏向测量属性和得分.
- 现有的评分程序旨在通过在IRT分析之前重新编码响应来减轻RG效应.
研究的目的:
- 为了比较处理快速猜测 (RG) 的四种评分程序的准确性.
- 在RG错误分类的不同条件下评估参数恢复.
- 确定最佳策略,以减轻RG在心理测量建模中的影响.
主要方法:
- 进行了一项模拟研究,以比较四种RG评分程序.
- 关键操纵包括样本大小,RG倾向-能力关系,RG百分比和错误分类率.
- 用单维和多维IRT模型评估项目和能力参数恢复.
主要成果:
- 将RG响应视为不正确的结果导致了最高的系统和随机错误.
- 当RG被完美识别时,大多数方法都显示了类似的参数恢复精度.
- 多维IRT模型显示出更高的错误率与更高的RG错误分类率.
结论:
- 将快速猜测 (RG) 响应记录为缺失是一个强大的策略.
- 在重新编码后使用一维IRT模型提供了有希望的准确性.
- 仔细考虑RG错误分类对于准确的心理测量分析至关重要.
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