Technical page
How NexGen Mastery scores, selects and calibrates items. This is the page a
faculty member or a careful student should be able to find before trusting a readiness band.
Every constant below is read from the engine code and every count from the attempts table; the
live copy is at nexgen.myomedprep.org/#/technical
(GET /api/technical).
Item statistics from real attempts
For every scored item we compute, from learners' first attempts only:
- Exposure (n) — how many distinct learners have met the item.
- Difficulty (p) — the mean fraction of the item's marks earned, so partial-credit NGN items are handled the same way as single-answer items.
- Discrimination (rpb) — the corrected item-rest point-biserial: the correlation between a learner's score on the item and their mean score on every other item they have answered.
- Median time — the median of client-reported seconds from the item being shown to the answer being submitted.
- Distractor analysis — for multiple-choice and select-all items, how often each option is chosen.
An item is calibrated once 30 learners have met it; before that it is provisional and is not judged. Calibrated items with p above 0.95, p below 0.15, rpb below 0.10, or negative rpb are flagged for human review. Nothing is retired by the software. Statistics are recomputed nightly and the staff item table and CSV export are limited to the operator; the public sees bank-level aggregates.
Adaptive practice
| Measurement model | One-parameter logistic (Rasch) with an Elo-style running ability update, K = 0.40. |
|---|---|
| Item difficulty | Authored rating 1–5 placed at −1.6, −0.8, 0.0, +0.8, +1.6 logits. |
| Ability range | −3.0 to +3.0 logits. |
| Item selection | The unseen item whose difficulty is closest to the learner's current ability. |
| Exposure control | One of the three closest unseen items is chosen at random, so two learners at the same ability do not see the same sequence. |
| Recycling | Once every item in scope has been seen, items are re-served and marked as repeats; repeat attempts are excluded from item statistics. |
Readiness examination
| Length | 85–150 items, of which 15 are unscored pretest items. |
|---|---|
| Time limit | 300 minutes. |
| Ability estimate | Newton–Raphson maximum likelihood, refit over the whole response history after each item; starts at 0.0, bounded −4.0 to +4.0. |
| Confidence interval | 95% (z = 1.96). The standard error is never reported below 0.18, so the interval is never narrower than ±0.35 logits. |
| Passing standard | 0.0 logits — the bank's own centre. |
| Item selection | The Client Need category furthest behind its published share is served first, then the most informative unseen item in it (random among the three closest). |
| Clinical judgment floor | At least 10% of items are clinical-judgment formats (bow-tie, matrix, cloze, highlight, ordered response); the result reports the mix that actually occurred. |
Stopping rules
- 300 minutes elapsed.
- 150 items delivered.
- After 85 items, the lower bound of the 95% confidence interval is above the passing standard.
- After 85 items, the upper bound of the 95% confidence interval is below the passing standard.
Blueprint weights
The midpoint of each NCSBN 2026 Client Needs band: Management of Care 18%, Safety and Infection Control 13%, Health Promotion and Maintenance 9%, Psychosocial Integrity 9%, Basic Care and Comfort 9%, Pharmacological and Parenteral Therapies 16%, Reduction of Risk Potential 12%, Physiological Adaptation 14%. How the bank itself sits against those bands is on the coverage map.
Readiness bands
| Very high | Lower bound of the confidence interval more than 0.75 logits above the standard. |
|---|---|
| High | Lower bound above the standard. |
| Borderline | Interval straddles the standard. |
| Low | Upper bound below the standard. |
Synapsis accuracy benchmark
Synapsis, the on-site tutor, is run against a fixed prompt set every time its model, prompt or retrieval changes: medication safety, contraindications, doses, paediatric and pregnancy cases, misleading premises, hypothetical clinical vignettes, out-of-corpus questions, and messages it must decline (real-time bedside care, personal medical advice, crisis, graded work). Each answer path — the lesson-text extractive path, the on-site model and the on-device WebGPU model — is graded separately, after the same citation and evidence gates a learner's turn passes through, on citation accuracy, unsupported-claim rate, dose-hallucination rate, refusal accuracy and misleading-prompt resistance. Every published number carries the model name, the date and the commit it was run at.
Limitations
- Item difficulties are authored ratings, not estimated parameters. Calibration from real attempts is what the item statistics above are collecting towards; until an item is calibrated its difficulty is an author's opinion.
- The passing standard is not equated to any licensing or certification body's standard, and we publish no pass-rate prediction.
- Learners who have answered only one item contribute to p but not to discrimination.
- Reported time is what the learner's browser measured; a tab left open counts up to an hour. The median is used because it tolerates that.
- Calibration thresholds (n = 30; p 0.15–0.95; rpb 0.10) are our working defaults pending psychometric review.