Item analysis is a statistical technique used to evaluate the quality and effectiveness of individual test items, helping educators and researchers improve assessments. It involves examining metrics such as difficulty index, discrimination index, and distractor analysis to ensure each question accurately measures the intended knowledge or skill.

Item Analysis

Item analysis

statistical technique

quality and effectiveness

individual test items

educators and researchers

improve assessments

The Difficulty Index is a statistical measure used to evaluate the complexity of test items or questions, indicating the proportion of examinees who answered correctly. It serves as a crucial tool for educators and test developers to assess the appropriateness of questions for their target audience, ensuring that assessments are neither too easy nor too hard.

difficulty index

The Discrimination Index is a statistical tool used to evaluate the effectiveness of individual items in a test by distinguishing between high and low performers. It helps in identifying questions that are either too easy, too hard, or not relevant, thereby improving the overall quality and reliability of the assessment.

discrimination index

Distractor Analysis is a process used in educational assessment to evaluate the effectiveness of incorrect answer choices (distractors) in multiple-choice questions. It helps educators identify patterns in student responses to improve question design and better assess student understanding.

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