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Investigating Model and Metric Misspecification in Latent Variable Models and Evaluating Practical Implications.
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Investigating Model and Metric Misspecification in Latent Variable Models and Evaluating Practical Implications.
자료유형  
 학위논문
Control Number  
0017165146
International Standard Book Number  
9798346874065
Dewey Decimal Classification Number  
371
Main Entry-Personal Name  
Huang, Qi.
Publication, Distribution, etc. (Imprint  
[S.l.] : The University of Wisconsin - Madison., 2024
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2024
Physical Description  
147 p.
General Note  
Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
General Note  
Advisor: Bolt, Daniel M.
Dissertation Note  
Thesis (Ph.D.)--The University of Wisconsin - Madison, 2024.
Summary, Etc.  
요약Latent variable models are often appealing in educational and psychological assessments, where focal constructs are not only generally viewed as being measured with error, but also lack the well-defined metrics associated with most physical measurements. Although the flexibility of metrics in latent variable models makes it easier for models to statistically fit the data at hand, it can also mask model misspecification. In this dissertation, I will consider three different scenarios where either the metric or measurement model (or both) is misspecified, discuss the consequences of overlooking each type of misspecification, and propose corresponding solutions. Specifically, the three studies examine: (1) misspecification of item response theory (IRT) models induced by item complexity; (2) misspecification of IRT in both metric and measurement model under unipolarity of the latent construct; (3) misspecification of cognitive diagnosis models (CDMs) in the presence of latent skill continuity.Overall, these studies draw attention to potentially underappreciated issues in measurement, expand the perspectives that people can take on measurement, and promote the use of a more contemporary toolbox for consideration of varied metrics and models, possibly allowing educational and psychological theory to more significantly inform the modeling process.
Subject Added Entry-Topical Term  
Educational tests & measurements.
Subject Added Entry-Topical Term  
Quantitative psychology.
Subject Added Entry-Topical Term  
Experimental psychology.
Index Term-Uncontrolled  
Cognitive diagnosis model
Index Term-Uncontrolled  
Item response theory
Index Term-Uncontrolled  
Latent variable model
Index Term-Uncontrolled  
Model misspecification
Added Entry-Corporate Name  
The University of Wisconsin - Madison Educational Psychology
Host Item Entry  
Dissertations Abstracts International. 86-06B.
Electronic Location and Access  
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Control Number  
joongbu:655418
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