01 · DELIVERABLE
Construct and item map
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Researchers developing or adapting an instrument · Worldwide online
Questionnaire validation support
Plan reliability and validity evidence that fits the construct and intended population.
Book Research Readiness Clinic →Inspect real dataset evidenceTHE BUYER PROBLEM
Resolve the decision behind the request.
A high Cronbach alpha alone does not demonstrate unidimensionality, validity or suitability for a new population.
HOW THE WORK MOVES
Scope first. Traceable decisions throughout.
- Define construct and intended use
- Review items, reverse coding and permissions
- Plan pilot and dimensionality assessment
- Interpret evidence with limitations
Professional delivery uses the existing canonical project and case workflow. Independent QA and release approval are distinct decisions; unresolved findings remain visible.
What the agreed scope can deliver
02 · DELIVERABLE
Pilot, coding and dimensionality review plan
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
03 · DELIVERABLE
Reliability/validity reporting limitations
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Methods, assumptions and boundaries
There is no universal alpha threshold that validates every scale. Factor analysis suitability depends on sample, item properties and model.
Source values are preserved; changes require documented reasons. Analysis needs a defined outcome, population, design and eligible records. Review may withhold an unsupported test or conclusion.
Read the RMA methodology →Start with context. Transfer data privately.
The public fit check asks for objectives, stage and constraints. Do not paste participant names, health records, passwords or connector tokens. Access, permitted data, retention and export/deletion arrangements are confirmed before private transfer.
Review data-handling boundaries →Is this a fit?
For researchers developing or adapting an instrument who can explain the intended decision, provide authorised evidence and accept transparent limitations.
Outside scope: fabricated data, guaranteed significance, thesis ghostwriting, clinical decision-making or claims of regulatory certification.
Before you start
What does the first enquiry commit me to?
Nothing is charged through the fit-check form. RMA reviews scope and confirms deliverables, exclusions, timing and price in writing.
Will I need a personal or organisation workspace?
Your project uses the existing Personal Research Workspace and the shared RMA account system. A professional service is linked to the canonical case; it does not create a separate portal.
Can you guarantee an outcome or approval?
No. Findings depend on the source data and design. QA checks the agreed evidence and cannot guarantee significance, graduation, grant funding or publication.
Prepare a stronger brief.
Research operations overview · Free research tools · Organisation product tour
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