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008181129s2018 ||| | | | eng d
020 ▼a 9780438306516
035 ▼a (MiAaPQ)AAI10751644
035 ▼a (MiAaPQ)fsu:14423
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 371
1001 ▼a Lin, Zhongtian.
24514 ▼a The Comparison of Standard Error Methods in the Marginal Maximum Likelihood Estimation of the Two-Parameter Logistic Item Response Model when the Distribution of the Latent Trait is Nonnormal.
260 ▼a [S.l.] : ▼b The Florida State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 117 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
500 ▼a Adviser: Insu Paek.
5021 ▼a Thesis (Ph.D.)--The Florida State University, 2018.
520 ▼a A Monte Carlo simulation study was conducted to investigate the accuracy of several item parameter standard error (SE) estimation methods in item response theory (IRT) when the marginal maximum likelihood (MML) estimation method was used and the
520 ▼a Results showed that when other factors were hold equal, all of the SE methods studied were apt to produce less accurate SE estimates when the distribution of the underlying trait was positively skewed or positively skewed-bimodal, as compared to
590 ▼a School code: 0071.
650 4 ▼a Educational tests & measurements.
690 ▼a 0288
71020 ▼a The Florida State University. ▼b Educational Psychology and Learning Systems.
7730 ▼t Dissertation Abstracts International ▼g 80-01A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0071
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997182 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자