| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000435124 |
| 005 | | 20200227115231 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781085657983 |
| 035 | |
▼a (MiAaPQ)AAI27534819 |
| 035 | |
▼a (MiAaPQ)OhioLINKosu1555348905812841 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 151 |
| 100 | 1 |
▼a Xu, Menglin. |
| 245 | 10 |
▼a A Comparison of Frequentist and Bayesian Approaches for Confirmatory Factor Analysis. |
| 260 | |
▼a [S.l.]:
▼b The Ohio State University.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 124 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: A. |
| 500 | |
▼a Advisor: O'Connell, Ann. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 520 | |
▼a Model fit indices within the framework of structural equation models are crucial in evaluating and selecting the most appropriate model to fit data. The performance of fit indices under varying suboptimal conditions requires further investigation. Moreover, with the increasing interest in applying Bayesian method to social sciences data, the comparison of Bayesian estimation and robust maximum likelihood (MLR) estimation methods in evaluating models and estimating parameters is of vital importance. This study aims 1 ) to investigate the performance of MLR associated model fit indices under various conditions of model misfit, data distribution, and sample sizes |
| 590 | |
▼a School code: 0168. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Quantitative psychology. |
| 690 | |
▼a 0632 |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0288 |
| 710 | 20 |
▼a The Ohio State University.
▼b Educational Studies. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-02A. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0168 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494162
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |