Item analysis is a statistical process used to evaluate the quality and effectiveness of individual items (questions) in a test or questionnaire. It’s an essential step in test development and refinement.
Key components of item analysis:
- Difficulty index: Measures how easy or difficult an item is for test-takers.
- Discrimination index: Assesses how well an item distinguishes between high and low performers.
- Distractor analysis: Evaluates the effectiveness of incorrect options in multiple-choice questions.
- Item-total correlation: Measures how well an item correlates with the overall test score.
- Reliability analysis: Examines how the item contributes to the overall reliability of the test.
Item analysis helps test developers identify and remove poor-quality items, improve existing items, and ensure that the test accurately measures the intended construct. It’s widely used in educational testing, psychological assessments, and survey research.
