The Answer Distribution view provides detailed insight into how candidates responded to each question in a test. It shows the distribution of selected answer choices across different performance groups, helping you evaluate question difficulty and determine how effectively an item differentiates between stronger and weaker test takers.
This view also includes key item statistics, such as p-value (item difficulty) and Discrimination Index, which support informed decisions when reviewing and improving test content.
How to Access Answer Distribution
To ensure meaningful and reliable results, the Answer Distribution view is available only when a test has at least 10 completed test attempts. If fewer than 10 attempts are available, answer distribution data will not be displayed.
To access the answer distribution, follow these steps:
- Navigate to the Tests > Manage tests.
Select the desired test.
Navigate to Questions.
Select the eye icon to view the test version.
Once the table with questions is displayed:
- Select the Answer distribution for the desired question.
- Once the Answer Distribution card opens, you will be able to see the following information:
- High – Candidates with the highest overall scores on the test (top performance group).
- Low – Candidates with the lowest overall scores on the test (bottom performance group).
- Total – All candidates who answered the question.
- p-value – The percentage of all candidates who selected the correct answer. Lower values indicate more difficult questions.
- Discrimination Index – The difference between the High and Low groups. Higher values indicate better discrimination between stronger and weaker candidates.
- Close – Closes the Answer Distribution card for the current question.
Conclusion
The Answer Distribution view provides valuable insight into candidate performance at the question level. By reviewing how different performance groups select answer choices and by analyzing key metrics such as p-value and Discrimination Index, you can better assess question difficulty, identify potential issues with test items, and improve the overall quality of your test content. Regularly reviewing this data helps ensure that test questions are fair, effective, and aligned with the intended assessment goals.
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