ANOVA de Welch: ANOVA de uma via para variâncias heterogêneas no SPSS
In this video, I explain how to perform Welch's ANOVA, a one-way ANOVA suitable for data with non-homogeneous variances. I explain how to do it in SPSS, how to interpret it, and how to report your results. The video also includes a discussion of the assumptions of one-way ANOVA, with emphasis on the assumption of normality. I also teach how to test the normality of the dependent variable separated by groups. ANOVA assumptions: 0:26 Normality test with distributed variable by groups and outlier check: 8:20 Levene's test: 11:09 Welch's ANOVA: 12:43 Database download: https://drive.google.com/file/d/1xLw-... Would you like to hire me for consulting or to analyze your data? The link below explains these services and provides a form for you to contact me: https://fernandafperes.com.br/servicos BIBLIOGRAPHIC REFERENCES: Article (in Portuguese) comparing normality tests (and concluding that Shapiro-Wilk is superior to the others, even in smaller samples), and suggesting evaluating the normality of the dependent variable by group: Leotti, V. B., Coster, R., & Riboldi, J. (2012). Normality of variables: verification methods and comparison of some non-parametric tests by simulation. Revista HCPA. Porto Alegre. Vol. 32, no. 2 (2012), p. 227-234. Article (in English) comparing normality tests, and concluding that Shapiro-Wilk has the greatest power: Razali, N. M., & Wah, Y. B. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors, and Anderson-Darling tests. Journal of statistical modeling and analytics, 2(1), 21-33. Master's thesis (in English) comparing classical ANOVA, Welch's ANOVA, and Kruskal-Wallis through simulation techniques. Good reference to justify the choice of Welch's ANOVA if your variances are not homogeneous: Liu, H. (2015). Comparing Welch's ANOVA, a Kruskal-Wallis test and traditional ANOVA in case of heterogeneity of variance. Follow our statistics content on Instagram too: / estatisticaaplicada Check out our applied statistics courses: In R: • Estatística Aplicada no R In SPSS: • Estatística Aplicada no SPSS

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