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An NCME Instructional Module on Exploring the Logic of Tatsuoka's Rule‐Space Model for Test Development and Analysis
Author(s) -
Gierl Mark J.,
Leighton Jacqueline P.,
Hunka Stephen M.
Publication year - 2000
Publication title -
educational measurement: issues and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.158
H-Index - 52
eISSN - 1745-3992
pISSN - 0731-1745
DOI - 10.1111/j.1745-3992.2000.tb00036.x
Subject(s) - test (biology) , set (abstract data type) , space (punctuation) , blueprint , computer science , cognition , artificial intelligence , rule based system , machine learning , psychology , programming language , engineering , mechanical engineering , paleontology , neuroscience , biology , operating system
K. Tatsuoka's rule‐space model is a statistical method for classifying examinees' test item responses into a set of attribute‐mastery patterns associated with different cognitive skills. A fundamental assumption in the model resides in the idea that test items may be described by specific cognitive skills called attributes which can include distinct procedures, skills, or processes possessed by an examinee. The rule‐space model functions by collecting and ordering information about the attributes required to solve test items and then statistically classifying examinees' test item responses into a set of attribute‐mastery patterns, each one associated with a unique cognitive blueprint. The logic of Tatsuoka's rule‐space model, as it applies to test development and analysis, is examined an this module. Controversies and unresolved issues are also presented and discussed.