Analyze multiple choice exam questions for validity and effectiveness
Exam Information
Student Responses
Student ID
Score
Responses (Q1, Q2, ...)
Actions
No student data entered yet. Click "Add Student" to begin.
Correct Answers Key
Exam Summary
Report generated: Today
Number of Students
0
Average Score
0
Standard Deviation
0
Score Distribution
Item Analysis
Filter:
Question
Difficulty
Discrimination
Correct Answer
Distractors
Action
No analysis data available. Click "Analyze Data" first.
Difficulty Index Distribution (p-value)
Discrimination Index Distribution
Detailed Question Analysis
Select question:
Difficulty Index (p-value)
-
Discrimination Index
-
Point-Biserial
-
Response Distribution
Export Data
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Export Raw Data
Download the raw student response data
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Help - Exam Item Analyzer
What is Item Analysis?
Item analysis is a statistical technique used to evaluate the quality of multiple-choice test questions.
It helps identify questions that might be too easy, too difficult, or not effectively discriminating
between high and low performing students.
Key Metrics
Difficulty Index (p-value):
The proportion of students who answered the question correctly. Range: 0 (very hard) to 1 (very easy)
Discrimination Index:
Measures how well a question differentiates between high and low performers. Range: -1.0 to +1.0
Point-Biserial Correlation:
Correlation between answering the question correctly and total test score
Distractor Analysis:
Evaluates how attractive each wrong option is to students
Interpretation Guidelines
Difficulty Index
0.85 - 1.00
Too easy
0.60 - 0.84
Optimal difficulty
0.30 - 0.59
Hard
0.00 - 0.29
Too hard
Discrimination Index
0.40+
Very good
0.30 - 0.39
Good
0.20 - 0.29
Marginal
Below 0.19
Poor
Negative
Problematic
How to Use This Tool
Enter exam details (title, number of questions, choices per question)
Add student responses (either manually or upload CSV)
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