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Description
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 |
Degree: | Ph.D. |
Genre: | Dissertation |
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 |
Type: | Text |
URI: | http://hdl.handle.net/2142/88280 |
Rights Information: | Copyright 2015 Youn Seon Lim |
Date Available in IDEALS: | 2015-09-29 2019-08-22 |
Date Deposited: | 2015-08 |
This item appears in the following Collection(s)
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Dissertations and Theses - Education
Dissertations and Theses from the College of Education -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois