使用强迫选择问卷对心理评估进行排名强迫选择诊断分类模型
Yi-An Zhu1, Jingwan Xu1, Daxun Wang1
1School of Psychology, Jiangxi Normal University, Nanchang, Jiangxi, China.
The British journal of mathematical and statistical psychology
|December 16, 2024
概括
本研究引入了强制选择问卷 (FCQ) 的新诊断分类模型 (DCM),以减少响应偏差. 排名FC-DCM改进了现有模型,在模拟中显示了准确的结果.
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
- 隐性特征理论 隐性特征理论
背景情况:
- 诊断分类模型 (DCM) 用于非认知测试,但可能会受到单刺激项目的响应偏差的影响.
- 强制选择问卷 (FCQ) 减轻了响应偏差,但它们与DCM的整合是有限的.
- 对于FC项目而言,现有的DCM存在建模和格式限制.
研究的目的:
- 为强制选择项目 (排名FC-DCM) 提出一个新的排名诊断分类模型.
- 解决现有模型在假设,FC格式和属性测量方面的局限性.
- 评估拟议模型在参数恢复中的性能.
主要方法:
- 开发一个通用的FC-DCM排名,容纳各种FC格式.
- 模拟研究以评估在不同条件下的人和物品参数恢复.
- 该模型应用于现实世界强制选择问卷.
主要成果:
- 拟议的排名FC-DCM在所有模拟条件下显示了令人满意的人和项目参数恢复.
- 该模型有效地处理不同的强制选择格式和属性测量复杂性.
- 一个说明性的例子证实了该模型的实际实用性和优势.
结论:
- 排名FC-DCM是分析非认知评估中的强制选择数据的可行和改进的替代方案.
- 该模型提供了增强的诊断信息,同时控制了响应偏差.
- 该研究强调了FC-DCM排名在现实世界心理测量应用中的潜力.
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