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Online Journal of Veterinary Research©

(Including Medical and Laboratory Research)

Established 1994

ISSN 1328-925X

Volume 27 (12):687-694, 2023.

Exploratory confirmatory factor analysis for water quality fingerprinting.


Hayal Boyacioglu1*, Hulya Boyacioglu2


1*Ege University, Faculty of Science, Department of Statistics, 35100 Bornova Izmir, Turkey, Email: hayal.boyacioglu@ege.edu.tr,2 Dokuz Eylul University, Department of Environmental Engineering. 35390 Buca Izmir Turkey, Email: hulya.boyacioglu@deu.edu.tr, *corresponding author: hayal.boyacioglu@ege.edu.tr




Boyacioglu HA, Boyacioglu HU., Exploratory confirmatory factor analysis for water quality fingerprinting, Onl J Vet Res., 27 (12):687-694, 2023.  Exploratory factor analysis (EFA) results were validated by confirmatory factor analysis (CFA) methods. EFA was applied to water quality data sets from the Küçük Menderes River in Turkey. The EFA results created one factor. In order to determine whether the factor created by EFA was adequately represented, CFA was performed. The effectiveness of various estimation methods comprising Maximum Likelihood (ML), Robust Maximum Likelihood (RML), Weighted Least Squares (WLS) was examined. RML was found to be the best in the analysis based on the condition that the normality assumption could not be achieved, the data is continuous, and the sample size is not large enough.


Keywords: Confirmatory Factor Analysis, Maximum Likelihood, Robust Maximum Likelihood, Weighted Least Squares.