Test Score Analytics – Response Accuracy & Grade Band Projection
This test performance module transforms raw response counts into percentage accuracy and letter grade classification across multiple selectable scaling schemas. Ideal for formative assessment review, grading transparency, and progress tracking.
Primary Formula
- Accuracy (%): (Correct ÷ Total) × 100
- Wrong Responses: Total − Correct
- Scale mapping applied post‑percentage via chosen rubric (standard / plus tiers / extended granularity).
Scenario Example
- Correct = 18, Total = 20 → (18 ÷ 20) × 100 = 90%
- Standard scale → 90% = A (or A- under fine‑grained scale)
Diagnostic Insights
- Track error distribution by segment (add manual tagging for sections to refine analytics).
- Convert absolute score to projected course weight impact by multiplying by assessment weight.
- Use extended scale to surface marginal band transitions (e.g., 89.5% rounding policies).
FAQ Snapshot
- Do partial credits work? Enter revised correct count treating partials as fractional correctness aggregated.
- Why different letter outputs? Scale selection changes boundary thresholds.