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Skewness and Kurtosis

The values for asymmetry and kurtosis between -2 and +2 are considered acceptable in order to prove normal univariate distribution (George & Mallery, 2010). George, D., & Mallery, M. (2010). SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 update (10a ed.) Boston: Pearson.

Bunun için SPSS te hesaplanan çarpıklık ve basıklık değerleri standart hata değerlerine bölünür ve çıkan değerin 1,96'dan veya 2.00'den büyük olup olmadığına bakılır.

ake a test on the distribution, e.g. Kolmogorov-Smirnov-test. After that you know whether you have a normal or not. then you need to test neither skewness nor curtosis. rule of thumb check jaurqe Bera test, it is based on skewness and kurtosis so acceptance of the null in this test will tell that skewness and kurtosis are i acceptable range for normality, and reject mean both are not in acceptable range for normality of the data