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research-document RFR-2D37A2C1

Calibrate construct and measurement validity: Clinical Communication Engineering Research Journal — Cycle 1

Identifier
RFR-2D37A2C1
Research Area
General Research
Status
Open
Version
0.1
Priority
medium
Updated
2026-07-22
Source
research/frontier/records/RFR-2D37A2C1.md

RFR-2D37A2C1 — Calibrate construct and measurement validity: Clinical Communication Engineering Research Journal — Cycle 1

Research opportunity

Calibrate construct and measurement validity for the claims or recommendations in “Clinical Communication Engineering Research Journal — Cycle 1.”

Background

The originating artifact is accepted by the repository publishing inventory with status “complete.” Its Evidence cycle section provides the immediate evidence boundary.

Evidence trace

  • Origin document: content/projects/clinical-communication-engineering/research-journal/2026-07-22-clinical-communication-engineering-research-journal.md
  • Section: Evidence cycle
  • Specific assumption challenged: The source's treatment in “Evidence cycle” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “- Reviewed federal human-factors and EHR-safety guidance, accessibility requirements, clinical handoff evidence, health-IT cognitive-work research, risk communication, lab-result displays, alert fatigue, and AI governance. - Looked for contradiction: I-PASS is a bundle and pediatric inpatient evidence, not a universal…”
  • 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-JR-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.