Assessment Item Analyzer
Compare question success rates and upper/lower-group differences to identify items worth reviewing.
- 1List your questions
- 2Read the answer as you type
- 3Download or print it
Loading the worked example…
Assumptions
Results update as you type. Example figures are illustrative.
Your working data
Edit cells directly or import a CSV. Download “Input CSV” for the required column names. Up to 200 rows; scroll the table sideways for additional fields.
Detailed analysis
Exports include all results, regardless of the search filter. The HTML report includes assumptions and source data; use your browser’s Print command for PDF.
Chart shows the first 20 rows; negative values use a warm color. Click table headers to sort.
Compare up to four scenarios
Capture the current inputs, change assumptions and capture again. Scenarios are included in downloaded projects.
What this model includes
Upper and lower groups must be disjoint subsets of the attempts. Difference is upper success fraction minus lower; small samples are unstable and no formal significance test is performed.
Import and save safely
CSV imports use your current assumptions. Project files restore assumptions, rows and saved scenarios. No automatic saving: download a project before closing this page. Imports are limited to 10 MiB and 200 rows. Calculations run in your browser; the site’s advertising and analytics follow its privacy policy.
Using Assessment Item Analyzer
Compare question success rates and upper/lower-group differences to identify items worth reviewing.
- Set low success threshold (%) and high success threshold (%).
- Add one row for each question in the table.
- Read which questions to review beside your table, then download the result.
Example
The worked example includes Q1, Q2, Q3. Change the first low success threshold (%) setting and compare the result with a saved baseline.
Questions & answers
What does Assessment Item Analyzer calculate?
Compare question success rates and upper/lower-group differences to identify items worth reviewing.
What are the important limitations?
Upper and lower groups must be disjoint subsets of the attempts. Difference is upper success fraction minus lower; small samples are unstable and no formal significance test is performed.
Can I continue my work later?
Yes. Save a project JSON file and reopen it with Import CSV / project. It contains the working data, assumptions and up to four scenarios. Nothing is saved automatically.
What CSV columns do I need?
item, attempts, correct, upperN, upper, lowerN, lower. Download Input CSV for a compatible example. CSV imports keep your current assumptions.
Are these example figures current industry benchmarks?
No. They are illustrative values to demonstrate the model. Replace them with figures appropriate to your situation.
Related tools
A useful next step for your task.
Everyday CalculatorsClassroom Group BalancerCreate similarly sized classroom groups while spreading teacher-entered readiness scores across teams.
Everyday CalculatorsRubric Grading WorkbenchApply a weighted rubric consistently across learners and inspect criterion-level scores before exporting results.
Everyday CalculatorsAssignment Workload CalendarSpread assignment effort across available calendar days and find overloaded homework periods.
Everyday Calculators2026 Tax Refund EstimatorEstimate your 2026 federal income tax refund or balance due with the new IRS brackets, standard deduction, tips, overtime, car-loan and senior…
Help improve this tool
Report a problem or suggest an improvement
Describe the issue without pasting private tool input. Feedback goes to our admin inbox.