This document discusses item analysis, which is a statistical technique used to evaluate test items. It has two types: qualitative, which involves expert review; and quantitative, which uses numerical indicators. Item analysis is important as it helps select appropriate items, determine item difficulty levels, provide discrimination between more and less capable examinees, and inform test improvements. Item difficulty is calculated as the percentage answering correctly, and should typically be between 25-75%. Item discrimination indicates how well items differentiate high and low scoring groups, and is calculated using an index formula. Both difficulty and discrimination are considered when selecting quality test items.