Youtor
Checking normality using skewness kurtosis Kolmogorov–Smirnov and ShapiroWilk tests
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=uCjOoEKQJvo
In this video, I will explain how to use SPSS to evaluate check for normality using skewness, kurtosis, Kolmogorov–Smirnov and Shapiro-Wilk tests. • Please also check the following video for further information: • • Normality, Skewness, Kurtosis, Shap... • The criteria that I will explain are as follows: • 1. Skewness Kurtosis • Samples below 50: use the z value. -1.96 and +1.96 (Z scores for kurtosis and skewness are computed by dividing the skewness and kurtosis by their SE) • Samples between 50 and 300: use a more liberal z range. -3.29 and +3.29 • Larger samples: • Absolute skewness value between -2 and +2. • Absolute kurtosis value between -7 and +7 • 2. Kolmogorov–Smirnov test AND Shapiro-Wilk test • Use with samples below 300 • For samples larger than 300, they may be unreliable. • Data used in this video were derived from Core 3 Research Programme: A Quantitative Study of Learning and Teaching in Singapore Classrooms, the property of the National Institute of Education, Nanyang Technological University, Singapore.
#############################
