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A Comparison of Frequentist and Bayesian Approaches for Confirmatory Factor Analysis
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | A Comparison of Frequentist and Bayesian Approaches for Confirmatory Factor Analysis. |
| 개인저자 | Xu, Menglin. |
| 단체저자명 | The Ohio State University. Educational Studies. |
| 발행사항 | [S.l.]: The Ohio State University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 124 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-02A. Dissertation Abstract International |
| ISBN | 9781085657983 |
| 학위논문주기 | Thesis (Ph.D.)--The Ohio State University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
Advisor: O'Connell, Ann. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | 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 |
| 일반주제명 | Statistics. Quantitative psychology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
