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.
Disclosure Statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Georgios D. Sideridis
Georgios D. Sideridis holds a PhD in child psychology from the University of Kansas. His research interests lie in Psychometrics, Item Response Theory, and Bayesian Inference. He is a survey methodologist at Boston Children's Hospital, Harvard Medical School.
Fathima Jaffari
Fathima Jaffari holds a PhD with a concentration in Quantitative Methods. Her research interests are in Psychometrics, Item Response Theory, Bayesian Inference, Structural Equation Modeling, Experimental Designs, and Monte Carlo Methods. She is a Senior Measurement specialist at the department of professional exams at National Center for Assessment-Qiyas and the Education & Training Evaluation Commission (ETEC).