Kurtosis Value Interpretation. You can interpret the values as follows. If the distribution of responses for a variable stretches toward the right or left tail of the distribution then the distribution is referred to as skewed.
Different measures of kurtosis may have different. How to interpret excess kurtosis and skewness. Skewness assesses the extent to which a variable s distribution is symmetrical.
The smartpls data view provides information about the excess kurtosis and skewness of every variable in the dataset.
Any standardized values that are less than 1 i e data within one standard deviation of the mean where the peak would be contribute virtually nothing to kurtosis since raising a number that is less than 1 to the fourth power makes it closer to zero. In probability theory and statistics kurtosis from greek. Different measures of kurtosis may have different. The smartpls data view provides information about the excess kurtosis and skewness of every variable in the dataset.