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A Comparison of Three IRT Approaches to Examinee Ability Change Modeling in a Single-Group Anchor Test Design

机译:单组锚测试设计中三种IRT方法检查能力变化建模的比较

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摘要

Typically a longitudinal growth modeling based on item response theory (IRT) requires repeated measures data from a single group with the same test design. If operational or item exposure problems are present, the same test may not be employed to collect data for longitudinal analyses and tests at multiple time points are constructed with unique item sets, as well as a set of common items (i.e., anchor test) for a study of examinee growth. In this study, three IRT approaches to examinee growth modeling were applied to a single-group anchor test design and their examinee growth estimates were compared. In terms of tracking individual growth, growth patterns in the examinee population distribution, and the overall model-data fit, results show the importance of modeling the serial correlation over multiple time points and other additional dependence coming from the use of the unique item sets, as well as the anchor test.
机译:通常,基于项目响应理论(IRT)的纵向增长建模需要具有相同测试设计的单个组的重复测量数据。如果存在操作或项目暴露问题,则不得使用相同的测试来收集数据进行纵向分析,并且在多个时间点使用唯一的项目集以及一组通用项目(即锚定测试)构建测试对应试者成长的研究。在这项研究中,将三种IRT方法用于受检者成长模型应用于单组锚测试设计,并比较了其受检者成长估计。在跟踪个人增长,考生人口分布中的增长模式以及整体模型数据拟合方面,结果表明,对多个时间点上的序列相关性进行建模以及使用唯一项目集产生其他依赖关系的重要性,以及锚定测试。

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