ITEM ANALYSIS

Item Analysis provides psychometric methods for analyzing items of a test where the methods are based on Classical Test Theory. These methods include split-half reliability, Cronbach's alpha, standard error of measurement, confidence intervals for observed and estimated scores, as well as psychometric indexes for the items. 

Item Analysis assumes that there is one numerical variable for each item of a test. You may analyze these data or you may create different item scores from them. The item scores include summated scores, mean scores, transformed scores, estimated scores with their confidence intervals, etc.
