一种连续的莫肯缩放方法来评估调查研究中的响应质量
Stefanie A Wind1, Benjamin Lugu2, Yurou Wang2
1Educational Measurement, Educational Studies in Psychology, Research Methodology, and Counseling, The University of Alabama, Box 870231, Tuscaloosa, AL, 35487, USA. swind@ua.edu.
Behavior research methods
|June 13, 2023
概括
本研究引入了一种使用莫肯尺度分析 (MSA) 来检测调查中不小心响应的顺序程序. 该方法有助于通过识别不良响应质量来提高研究结果的可靠性和有效性.
科学领域:
- 心理测量 心理测量 心理测量
- 调查方法 调查方法
- 数据分析 数据分析
背景情况:
- 在调查研究中,不小心回应是常见的问题.
- 未被发现的疏忽可能会对结果的解释,构造测量,项目难度和仪器心理测量质量产生负面影响.
研究的目的:
- 介绍和说明在调查研究中评估响应质量的顺序程序.
- 通过真实数据和模拟来比较这种顺序程序与独立方法.
- 检查删除低质量的响应对项目质量指标的影响.
主要方法:
- 利用莫肯尺度分析 (MSA) 指标来评估响应质量.
- 采用了一种连续的程序来识别不小心响应者.
- 进行了模拟研究,并分析了真实调查数据.
- 评估了删除有问题的响应对项目质量指标的影响.
主要成果:
- 顺序程序有效地发现了一些传统方法错过的有问题的响应模式.
- 该程序并不总是对所有类型的疏忽响应敏感.
- 删除具有较差测量性能的响应影响了项目质量指标.
结论:
- 顺序程序为提高调查数据质量提供了有价值的工具.
- 需要进一步的研究来完善对特定疏忽模式的敏感性.
- 这些发现对改善调查研究实践和数据解释有实际意义.
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