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“…To evaluate normality, it is helpful to assess both univariate (for Outliers and Skewness and Kurtosis) and multivariate normality using Mardia’s coefficient of multivariate kurtosis whereby a Mardia’s coefficient > 8 indicates deviation of multivariate normality (Raoprasert & Islam, 2010). Multivariate outliers can be evaluated using Mahalanobis distance ( p < .001; Harrington, 2008; Tabachnick & Fidell, 2013).…”
Section: Methodsmentioning
confidence: 99%
“…To evaluate normality, it is helpful to assess both univariate (for Outliers and Skewness and Kurtosis) and multivariate normality using Mardia’s coefficient of multivariate kurtosis whereby a Mardia’s coefficient > 8 indicates deviation of multivariate normality (Raoprasert & Islam, 2010). Multivariate outliers can be evaluated using Mahalanobis distance ( p < .001; Harrington, 2008; Tabachnick & Fidell, 2013).…”
Section: Methodsmentioning
confidence: 99%
“…Multivariate normality can be evaluated through the use of Mardia’s coefficient of multivariate kurtosis. A Mardia’s coefficient greater than 8 was an indication of deviation in kurtosis (Raoprasert & Islam, 2010). Multivariate outliers are evaluated through evaluation of Mahalanobis distance (Harrington, 2008).…”
Section: Methodsmentioning
confidence: 99%