Dear Collegues
Could you tell me how Kurtosis and skewness value is used to test the normality of distribution of score?
A citable source: Article Normality Tests for Statistical Analysis: A Guide for Non-St...
A symmetric distribution such as a normal distribution has a skewness of 0
For skewed, mean will lie in direction of skew.
- A distribution that is skewed to the Right, when the mean is greater than the mode, has a positive skewness.
- skewed to left (tail pulled to left) mode > mean (negative skew).
For Kurtosis, extremely not normal dist. may have high positive or negative kurtosis values, while nearly normal distributions will have kurtosis values close to 0.
• Kurtosis is positive if the tails are "heavier" than for a normal distribution and negative if the tails are "lighter" than for a normal distribution.
In SPSS, the skewness and kurtosis statistic values should be less than ± 1.0 to be considered normal.
For skewness, if the value is greater than + 1.0, the distribution is right skewed. If the value is less than -1.0, the distribution is left skewed.
For kurtosis, if the value is greater than + 1.0, the distribution is leptokurtic. If the value is less than -1.0, the distribution is platykurtic.
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