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Assessing the Absolute and Relative Performance of IRTrees Using Cross-Validation and the RORME Index
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Assessing the Absolute and Relative Performance of IRTrees Using Cross-Validation and the RORME Index. |
| 개인저자 | DiTrapani, John. |
| 단체저자명 | The Ohio State University. Psychology. |
| 발행사항 | [S.l.]: The Ohio State University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 199 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-06B. Dissertation Abstract International |
| ISBN | 9781687971135 |
| 학위논문주기 | Thesis (Ph.D.)--The Ohio State University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
Advisor: De Boeck, Paul. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | This dissertation introduces a new model evaluation tool - the RORME index - that can be used to select an item response model among competing alternatives. This criterion assesses the out-of-sample predictive performance of candidate models using a k-fold cross-validation procedure. The validity of RORME is evaluated with several simulation studies, which conclude that the proposed index performs well under a multitude of conditions. RORME often follows a similar selection pattern as the AIC |
| 일반주제명 | Experimental psychology. Behavioral psychology. Quantitative psychology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
