Paste each candidate's station totals and examiner global grades, and get defensible pass marks by all four standard methods — custom, Angoff, borderline group and borderline regression — with the regression fit shown, not hidden. Multi-station exams, must-pass rules and pass-rate impact included. Everything is computed in your browser.
First row: headers. First column: candidate. Then two columns per station: checklist total, global grade (the numeric value of the rating scale).
Scores are computed locally — open your browser's network tab to verify nothing is uploaded.
Which method to use is an institutional policy decision — this calculator computes, it doesn't choose. AMEE Guide 85 (McKinley & Norcini) covers how to pick.
Exam rules
| Candidate name or ID | total | grade | total | grade | |
|---|---|---|---|---|---|
Borderline methods need each station's borderline grade — set it in the station header above.
Add stations and candidate scores above to compute pass marks.
| Station | Pass mark | n | Mean | SD | Min–max | Passed | Failed | R² | Note |
|---|---|---|---|---|---|---|---|---|---|
| Station 1 | — | 0 | — | — | — | — | — | — | Borderline grade value not configured for this station |
| Station 2 | — | 0 | — | — | — | — | — | — | Borderline grade value not configured for this station |
The full report is free too — leave an email and it unlocks. Only your email and the tool's name are sent, never any scores.
This is the after-the-exam spreadsheet ritual. StudyDrome runs all four standard-setting methods on your real OSCEs automatically — examiner marking on tablets feeds straight into borderline regression, per-station quality metrics and the pass/fail list, no pasting.
See StudyDrome's OSCE enginePublished so you can check (or disagree with) every number. All rounding is half-even (banker's), matching the product engine; statistics use the sample standard deviation.
This is a calculator, not a policy: which method (and which borderline grade) your institution uses is a governance decision documented in AMEE Guide 85. The maths here mirrors the StudyDrome product engine and is pinned by the product's own test fixtures — but a defensible mark still needs enough candidates, sane grading and expert oversight.
No. Every mark is computed in your browser. The only network calls this page makes are anonymous aggregate counters (which tool, which action) and — only if you use it — the export form, which sends your email address and nothing else. Verify it in your browser's network tab.
That's an institutional policy decision, not a calculator's. AMEE Guide 85 (McKinley & Norcini 2014) is the standard reference; Wood 2006 compares the two borderline methods directly. Borderline regression uses every candidate's data rather than only the borderline group's, which is why many OSCE units prefer it — when the grade–score relationship is strong. This tool computes all four so you can compare them on your own data.
The station note says exactly why: no borderline grade configured, fewer than 3 candidates with both a total and a grade (regression), no variance in the grades, no candidates at the borderline grade (group), or no preset mark entered (custom/Angoff). Blank means "couldn't be computed defensibly", never zero.
R² measures how much of the checklist-score variation the global grades explain. Pell 2010 (AMEE Guide 49) treats a low R² as a station-quality warning: below roughly 0.3 the grades barely relate to the scores, so a regression-derived mark rests on a weak relationship. The chart shows the fit rather than hiding it — that's the point.
Yes. Computing pass marks needs nothing at all; the print/CSV export asks only for an email address. The tool exists so you can see the standard-setting engine StudyDrome runs on real OSCEs automatically — same methods, same maths, pinned by the same test fixtures.