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Simple item analysis in multiple-choice tests involves evaluating the performance of individual test items to determine their effectiveness. This includes calculating metrics such as item difficulty, which measures the percentage of students who answer correctly, and item discrimination, which assesses how well an item differentiates between higher and lower-performing students. Analyzing these aspects helps identify poorly performing items that may need revision or removal, ultimately enhancing the test's reliability and validity. Additionally, it can provide insights into students' understanding of the material.

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