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Investigating Model and Metric Misspecification in Latent Variable Models and Evaluating Practical Implications.
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
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:655418
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