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008200131s2019 ||||||||||||||||| ||eng d
020 ▼a 9781687971135
035 ▼a (MiAaPQ)AAI27602847
035 ▼a (MiAaPQ)OhioLINKosu1555328378474406
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 151
1001 ▼a DiTrapani, John.
24510 ▼a Assessing the Absolute and Relative Performance of IRTrees Using Cross-Validation and the RORME Index.
260 ▼a [S.l.]: ▼b The Ohio State University., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 199 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-06, Section: B.
500 ▼a Advisor: De Boeck, Paul.
5021 ▼a Thesis (Ph.D.)--The Ohio State University, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a 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
590 ▼a School code: 0168.
650 4 ▼a Experimental psychology.
650 4 ▼a Behavioral psychology.
650 4 ▼a Quantitative psychology.
690 ▼a 0632
690 ▼a 0623
690 ▼a 0384
71020 ▼a The Ohio State University. ▼b Psychology.
7730 ▼t Dissertations Abstracts International ▼g 81-06B.
773 ▼t Dissertation Abstract International
790 ▼a 0168
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494557 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1816162
991 ▼a E-BOOK