Identify and explain the criteria for retaining and dropping items to revise a test. Make a matrix with faked data for 5 items. Explain why each item should or should not be retained.
What will be an ideal response?
Ans:
• p (difficulty) values between .2 and .9.
• Large positive discrimination index (D).
• Positive interitem correlation coefficients and item-total correlations suggesting that the item is measuring the same construct as are other items--evidence of internal consistency. The best items will have higher positive correlation coefficients.
• Positive item-total correlations suggesting that the item discriminates between high and low ability test takers.
• No evidence of item bias.
Learning Objective: 11-1: Describe the collection, analyses, and interpretation of data for an item analysis, including item difficulty, item discrimination, interitem correlations, item–criterion correlations, item bias, and item characteristic curves.
Cognitive Domain: Comprehension
Answer Location: Conducting Quantitative Item Analysis
Difficulty Level: Medium
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