识别个人不适合使用人向后阶段可靠性曲线 (PBRC)
Georgios Sideridis1,2, Fathima Jaffari3
1Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.
Frontiers in psychology
|October 30, 2023
概括
这项研究引入了一种新的方法,用于可视化测试中的异常响应模式,识别那些答案与被测量的整体特征不一致的个体. 这种技术有助于提高心理测量评估的准确性.
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
- 心理测试 心理测试
背景情况:
- 异常的反应模式可以显著影响心理测量评估的有效性.
- 现有的检测异常响应的方法在可视化和识别方面存在局限性.
- 克伦巴赫-梅斯巴赫曲线为理解响应一致性提供了一个理论基础.
研究的目的:
- 为异常响应模式提出一种新的可视化技术.
- 开发一个人可靠性指数,用于识别不一致的响应者.
- 根据已建立的指数评估拟议方法的有效性.
主要方法:
- 使用Kuder-Richardson 20 (KR-20) 公式开发了一个人的可靠性指数.
- 采用一个倒退的逐步删除程序来识别不可靠的个人.
- 利用人响应曲线 (PRCs) 来可视化项目难度和人的技能之间的关系.
- 将拟议方法的结果与已确定的异常响应指数 (Ht,U3) 进行比较.
主要成果:
- 提出的方法成功地确定了异常响应者,与Ht和U3指数100%一致.
- 使用人响应曲线 (PRC) 的可视化证实了异常响应者的项目难度和人技能缺乏单调性.
- 开发人员可靠性指数有效地标记了那些不参与测量潜伏特征的个人.
结论:
- 拟议的可视化技术是识别精神评估中异常响应者的有用工具.
- 该方法提高了对个体的检测,其反应模式损害了统一隐性特征的测量.
- 这种方法可以更直观地理解响应不一致及其对测试有效性的影响.
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