项目拟合的广义S−x2检验:一些变异、残差和图形可视化

IF 1.9 3区 心理学 Q2 EDUCATION & EDUCATIONAL RESEARCH Journal of Educational and Behavioral Statistics Pub Date : 2021-10-25 DOI:10.3102/10769986211050304
Jochen Ranger, Kay Brauer
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引用次数: 0

摘要

广义S−x2 -检验是一种对具有多分式回答格式的题目的拟合性检验。该测试是基于测试分数定义的地层中观察到的响应数和预期响应数的比较。在本文中,我们做了四个贡献。我们证明了广义S - x2 -测试的性能取决于稀疏单元池的方式。我们在有限信息测试的框架内提出了测试的替代实现。我们推导了S−x2 -残差的分布,可用于事后分析。我们建议一个诊断图,可视化的形式的不适合。在仿真研究中对备选实现的性能进行了研究。仿真研究表明,备选实现能够很好地控制i型错误率,并且具有较高的功率。本文最后以实证应用为结论。
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On the Generalized S − X 2 –Test of Item Fit: Some Variants, Residuals, and a Graphical Visualization
The generalized S − X 2 –test is a test of item fit for items with polytomous responses format. The test is based on a comparison of the observed and expected number of responses in strata defined by the test score. In this article, we make four contributions. We demonstrate that the performance of the generalized S − X 2 –test depends on how sparse cells are pooled. We propose alternative implementations of the test within the framework of limited information testing. We derive the distribution of the S − X 2 –residuals that can be used for post hoc analyses. We suggest a diagnostic plot that visualizes the form of the misfit. The performance of the alternative implementations is investigated in a simulation study. The simulation study suggests that the alternative implementations are capable of controlling the Type-I error rate well and have high power. An empirical application concludes this article.
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来源期刊
CiteScore
4.40
自引率
4.20%
发文量
21
期刊介绍: Journal of Educational and Behavioral Statistics, sponsored jointly by the American Educational Research Association and the American Statistical Association, publishes articles that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis. Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also of interest. Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority. Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority. The Journal of Educational and Behavioral Statistics provides an outlet for papers that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis, provide properties of these methods, and an example of use in education or behavioral research. Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also sometimes accepted. Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority. Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority.
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