Quick guide
How to use this calculator
- Choose the explicit policy, scale, scoring basis, or planning method before entering results.
- Use the labelled fields and add one structured row per course, attempt, component, criterion, learner record, unit, or workload batch that belongs in the scenario.
- Read component outputs before the overall summary: they expose denominators, active weights, exclusions, shortages, thresholds, provenance, and the record or stage driving the result.
Calculation method
Transparent education workflow
Difficulty = correct responses ÷ valid responses; discrimination compares upper and lower groups; point-biserial is the Pearson correlation between item score and total score.
The calculator preserves relevant distinctions and reports intermediate components rather than converting missing information into an assumed score, policy, equivalency, or approval.
Worked example
Worked example
If 18 of 24 valid responses are correct, item difficulty is 0.75 before examining whether the item discriminates between higher and lower total scores.
Difficulty = correct responses ÷ valid responses; discrimination compares upper and lower groups; point-biserial is the Pearson correlation between item score and total score.
Supported inputs
Precision and limits
Visitor-entered rules and assumptions
No grading scale, attendance threshold, late-work rule, mastery definition, institutional conversion, admissions requirement, curriculum rule, or room-safety standard is supplied automatically.
Privacy by default
Use short non-identifying labels. Entered academic information and results stay in this browser tab and are not placed in URLs, analytics, storage, session replay, or a cloud record.
Support, not automated judgement
Results organize arithmetic evidence. They do not rank learners, diagnose learning, predict admission, determine placement, recommend discipline, certify safety, or replace professional and institutional judgement.
Calculator-specific boundary
Small samples, ties, multidimensional tests, guessing, instruction, accessibility, and content validity affect interpretation. Statistics diagnose evidence; they do not automatically prove an item should be retained or removed.
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