Alternatives to F-Test in One Way ANOVA in case of heterogeneity of variances (a simulation study)

By K. Moder. 2010

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Sustainable development and financial system: IntegratingESGrisks through sustainable investment strategies in a climate change context (2021, methodology): “The analysis of variance is based on three assumptions: normal distributed populations, homogeneity of variances, and independent samples (Moder & Moder, 2010).”
A Protocol for Evaluating Video Trackers Under Real-World Conditions (2013, methodology): “To conclude, we tested the statistical significance of CoTPS using the Welch ANOVA test [27], a modified version of the oneway ANalysis Of VAriance (ANOVA) test [28], commonly employed to test statistical significance of multiple groups of data (in our case, there are six groups each containing a se”
Comparing Welch ANOVA, a Kruskal-Wallis test, and traditional ANOVA in case of heterogeneity of variance (2015, methodology): “The Hotelling’s T2 test controls α well in all situations of balanced designs, but it is not applicable on unbalanced data (Moder 2010).”