REPORTING TEST OUTCOMES USING MODELS FOR COGNITIVE DIAGNOSIS

作者: Matthias von Davier , Lou DiBello , Kentaro Yamamoto

DOI: 10.1002/J.2333-8504.2006.TB02034.X

关键词:

摘要: Models for cognitive diagnosis have been developed as an attempt to provide more than a single test score from item response data. Most approaches are based on hypothesis that relates items underlying skills. This relation takes the form of design matrix specifies each which skills required solve and not. report outlines one direction developments models is taking. It does not claim completeness, but describes line can be traced back Tatsuoka's seminal work rule space methodology finds its current in combine features confirmatory latent factor analysis, multiple classification class models, multidimensional models.

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