research-document RFR-9452729F
Calibrate construct and measurement validity: Clinical Communication Engineering Hypothesis Registry
RFR-9452729F — Calibrate construct and measurement validity: Clinical Communication Engineering Hypothesis Registry
Research opportunity
Calibrate construct and measurement validity for the claims or recommendations in “Clinical Communication Engineering Hypothesis Registry.”
Background
The originating artifact is accepted by the repository publishing inventory with status “active.” Its Clinical Communication Engineering Hypothesis Registry section provides the immediate evidence boundary.
Evidence trace
- Origin document: content/projects/clinical-communication-engineering/hypothesis-registry/clinical-communication-engineering-hypothesis-registry-v1.md
- Section:
Clinical Communication Engineering Hypothesis Registry - Specific assumption challenged: The source's treatment in “Clinical Communication Engineering Hypothesis Registry” is sufficiently supported for its intended scope.
- Supporting evidence excerpt: “ID Hypothesis Status Initial confidence Primary falsification measure --- --- --- --- --- HY-CCE-001 A task-first summary followed by evidence-on-demand reduces time-to-correct-plan without increasing omission errors versus source-order presentation. Candidate Medium Time, plan accuracy, critical omission rate HY-CCE-…”
- Reason this opportunity exists: Whether the document's operational measures isolate the intended construct rather than a correlated proxy or decision strategy.
Unknowns
- Whether the document's operational measures isolate the intended construct rather than a correlated proxy or decision strategy.
Dependencies
- None; this is foundational work.
Suggested REP and methodology
- Suggested REP:
REP-HYR-CCE-0001-MEASUREMENT - Methodology: Define the construct, compare convergent and discriminant measures, estimate reliability, test measurement invariance, and publish calibration data.
- Expected outputs: Construct definition, measurement protocol, reliability study, calibration dataset, and validity report.
- Success criteria: Measures meet declared reliability and validity thresholds across the principal populations and contexts.
- Recommended agent:
measurement-research-agent - Estimated effort: Medium
- Expected knowledge gained: Whether the document's operational measures isolate the intended construct rather than a correlated proxy or decision strategy.
Evaluation
| Dimension | Score (1–5) |
|---|---|
| Knowledge gain | 4 |
| Potential impact | 5 |
| Cross-project reuse | 5 |
| Scientific importance | 5 |
| Dependency cost | 5 |
| Implementation difficulty | 3 |
| Frontier score | 492 |
Confidence in this opportunity: moderate. Status: Open.