在调查中比较个人适应和传统指数,跨越无理应答模式
Eli A Jones1, Stefanie A Wind2, Chia-Lin Tsai3
1The University of Memphis, Memphis, TN, USA.
Applied psychological measurement
|October 9, 2023
概括
识别调查疏忽对于减少偏见至关重要. 新的个人适应指数 (infit MSE,outfit MSE和l统计) 有效地检测随机和过度一致的疏忽反应,补充了传统方法.
科学领域:
- 心理测量 心理测量 心理测量
- 调查方法 调查方法
- 教育测量教育的测量
背景情况:
- 在调查中不小心回答引入了偏见,需要强大的识别方法.
- 由于疏忽的多样性,通常使用多个指数.
- 项目响应理论 (IRT) 为数据分析提供了先进的统计框架.
研究的目的:
- 评估基于IRT的三种人体适应指数 (适合MSE,适合MSE和多种类型的l统计) 在识别不小心调查答案中的有效性.
- 将这些IRT指数的表现与传统的疏忽检测方法进行比较.
- 评估个人适应指数在检测随机和过度一致的响应模式方面的双向能力.
主要方法:
- 利用了来自2,049名高中学生关于教学有效性的调查的经验数据.
- 使用模拟数据与操纵类型 (随机,过度一致) 和不小心的百分比.
- 与传统指数 (LongString,Mahalanobis距离,有效期项目,完成时间) 进行IRT人身统计 (infit MSE,outfit MSE,l统计).
主要成果:
- 基于IRT的个人适应指数 (infit MSE,outfit MSE,l统计) 证明了对传统的疏忽指数的补充价值.
- 接收器运行特征 (ROC) 曲线表明,在检测过度一致和不一致 (随机) 的疏忽模式时,人身适应指数的灵敏度和特异性很好.
- 来自人体适应指数的分类与传统方法的分类存在相关性,这表明其具有双向检测能力.
结论:
- 基于IRT的个人适应指数提供了一种有价值的双向方法,用于识别调查中不小心回答的人.
- 这些指数可以通过补充现有的检测技术来提高调查数据的有效性.
- 调查结果对改善调查开发,验证和数据解释在研究和实践中的影响.
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