- Checking the normality of the data is necessary before using some multivariate analysis techniques include regression analysis and structural equation modeling (SEM)
- Statistical tests: Skewness & Kurtosis
- Skewness measures the extent of distribution asymmetry. When most of the values are less than the mean, skewness will be positive and when most values are greater than the mean, skewness will be negative.
- Kurtosis refers to the measurement of the peak of distribution, and shows how the distribution is high around the mean.
- Considering a rule of thumb, both skewness and kurtosis should be around a range of -2 to +2 for normal data.
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