Using the Omnibus Maximum Likelihood F-Test in Confirmatory Factor Analysis Using R

IF 2 4区心理学 Q2 Psychology

Measurement and Evaluation in Counseling and Development Pub Date : 2021-04-21 DOI:10.1080/07481756.2021.1906158

G. Sideridis, Fathima M. Jaffari

引用次数: 0

Abstract

Abstract The utility of the maximum likelihood F-test was demonstrated as an alternative to the omnibus Chi-square test when evaluating model fit in confirmatory factor analysis with small samples, as it has been well documented that the likelihood ratio test (TML) with small samples is not Chi-square distributed.

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综合最大似然f检验在验证性因子分析中的应用

摘要:在小样本验证性因子分析中评估模型拟合时，最大似然f检验的效用被证明是综合卡方检验的替代方法，因为有充分的文献证明，小样本的似然比检验(TML)不是卡方分布的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement and Evaluation in Counseling and Development Multiple-

CiteScore

2.40

自引率

10.00%

发文量

期刊介绍： Measurement and Evaluation in Counseling and Development is an official journal of the Association of Assessment and Research in Counseling (AARC), a member association and division of the American Counseling Association. Articles range in appeal from those that deal with theoretical and other problems of the measurement specialist to those directed to the administrator, the counselor, or the personnel worker--in schools and colleges, public and private agencies, business, industry, and government. All articles clearly describe implications for the counseling field and for practitioners, educators, administrators, researchers, or students in assessment, measurement, and evaluation.