Skewness and kurtosis
Skewness and kurtosis statistics are used to assess the assumption of normality
Any skewness or kurtosis statistic above an absolute value of 2.0 is considered to mean that the distribution is non-normal. Skewness and kurtosis statistics below an absolute value of 2.0 denote a normal distribution.
The steps for conducting skewness and kurtosis statistics in SPSS
2. Drag the mouse pointer over the Descriptive Statistics drop-down menu.
3. Select Descriptives.
4. Click on the continuous outcome variable to highlight it.
5. Click on the arrow to move the outcome variable into the Variable(s): box.
6. Click the Options tab.
7. Deselect Minimum and Maximum boxes under the Dispersion section.
8. Select the Kurtosis and Skewness boxes under the Distribution section.
9. Click Continue.
10. Select the Save standardized values as variables box.
11. Click OK.
The steps for interpreting the SPSS output for skewness and kurtosis statistics
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