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Title:Hurdles and solutions for cognitive diagnosis
Author(s):Lim, Youn Seon
Director of Research:Drasgow, Fritz
Doctoral Committee Chair(s):Drasgow, Fritz
Doctoral Committee Member(s):Rounds, James; Shriner, James; Wang, Michelle Yongmei
Department / Program:Educational Psychology
Discipline:Educational Psychology
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Cognitive diagnosis modeling
Nonparametric modeling
Joint maximum likelihood estimation
Model fit test
Abstract:Cognitive diagnostic modeling has become an important field of psychometric research. The models are special because they provide examinees with diagnostic information regarding whether or not they have mastered individual skills in certain area. They provide as meaningful sources of information for examinees to understand their learning status and the criteria that will be used to evaluate their performance. Furthermore, in a school context, they enable teachers to know the strengths and weaknesses of their students and thus help them to select and structure teaching materials. Cognitive diagnosis models help administrators support their decision-making concerning learning and teaching objectives and arrangements. Despite their obvious advantages, researchers and practitioners face three fundamental hurdles in the implementation of cognitive diagnosis models. The purpose of this dissertation is to provide the solutions to these problems: the estimation of the Q-Matrix, the estimation of model parameters, and the assessment of model-fit.
Issue Date:2015-07-15
Rights Information:Copyright 2015 Youn Seon Lim
Date Available in IDEALS:2015-09-29
Date Deposited:2015-08

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