Computes the Cronbach Alpha for all numerical columns based on their variance. Cronbach's Alpha compares the variance of the individual columns with the variance of the sum of all columns. It typically serves as an estimate of the reliability of a psychometric test. Cronbach Alpha is known as an internal consistency estimate of reliability of test scores since it will generally increase as the intercorrelations among test items increase. The theoretical value of alpha varies from zero to 1. However, depending on the estimation procedure used, estimates of alpha can take on any value less than or equal to 1. If Missing Values are encountered the node will fail.
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