Discussion
Cross validation of the test implies that :
Answer: B
Cross validation means that test validity is studied on a different sample.
When items are selected or a regression equation is built using one sample, the validity found in that sample is inflated by chance features of that sample. Cross validation checks the test, or the prediction equation, on a fresh, independent sample from the same population. The usual drop in the validity coefficient is called shrinkage.
Repeating item analysis on the same sample does not remove the chance factors. Deleting items of similar difficulty and comparing indices of item discrimination are item-analysis procedures, not cross validation.
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