Open AccessITEM CONSTRUCTION AND PSYCHOMETRIC MODELS APPROPRIATE FOR CONSTRUCTED RESPONSES
Author(s) -
Tatsuoka Kikumi K.
Publication year - 1991
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.1991.tb01416.x
Subject(s) - rubric , unobservable , item response theory , computer science , macro , graph , test (biology) , classical test theory , micro level , computerized adaptive testing , cognitive psychology , psychology , artificial intelligence , machine learning , theoretical computer science , psychometrics , mathematics education , econometrics , mathematics , developmental psychology , paleontology , civil engineering , economic impact analysis , engineering , biology , programming language
Constructed‐response formats are desired for measuring complex and dynamic response processes which require the examinee to understand the structures of problems and micro‐level cognitive tasks. These micro‐level tasks and their organized structures are usually unobservable. This study shows that elementary graph theory is useful for organizing these micro‐level tasks and for exploring their properties and relations. Moreover, this approach enables us to better understand macro‐level performances on test items. Then, an attempt to develop a general theory of item construction is described briefly and illustrated with the domains of fraction addition problems and adult literacy. Psychometric models appropriate for various scoring rubrics are discussed.