Testing the unidimensionality assumption of the Rasch model
收藏PsychArchives2023-04-25 更新2026-04-25 收录
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https://hdl.handle.net/20.500.12034/8291
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资源简介：
Statistical tests especially designed to test the unidimensionality axiom of the Rasch model are scarce. For two of them, the Martin-Löf test (ML-test) and the splitter-item- technique, an extensive power analysis has been carried out, showing clearly the superiority of the ML-test. The disadvantage of the ML-test, however, is that its null distribution deviates strongly from the asymptotic chi-square distribution unless one has huge samples. A new test with one degree of freedom is proposed. Its power is superior to that of the ML-test, and its null distribution converges rapidly to the chi-square. unknown publishedVersion
提供机构：
IPN - Institute for Science Education at the University of Kiel, Germany
创建时间：
2023-04-25
