Method choice begins with time and budget feasibility
Aliases: feasible study design · time constraint · scope control
What it is
Feasible research design starts with the decision deadline, staff, recruitment access, equipment, and analytic capability, then selects the strongest method inside that feasible set. Rigor is not an unconstrained maximum. A theoretically superior design that cannot recruit, analyze, or review in time produces no actionable evidence.
Why it happens
Cost sits in preparation, recruitment, sessions, cleaning, analysis, and communication. Cutting each component changes a different error: fewer participants reduce precision, fewer segments reduce coverage, shorter tasks change the construct, and less review increases analytic error. Explicit constraints make those losses comparable.
Studying it
Estimate end-to-end labor, calendar time, dependencies, and failure probability for candidate designs, then compare expected information value against one decision standard. Record whether reductions affect sample, tasks, context, or analysis and which inference weakens. Compare forecast and actual effort to calibrate future plans.
Where it stops holding
Time and budget never waive ethics, safety, or data protection. Abundant resources do not ensure rigor when method and question are mismatched. Emergency decisions may accept uncertainty, but scope, reversibility, and a follow-up validation plan must remain visible.
Applying it
- Lock the decision, deadline, resources, and non-negotiable protections before selecting methods.
- Compare candidate designs by supported claim, dominant error, and total effort.
- Choose the smallest complete evidence chain and reserve contingency for recruitment and review.
- State excluded coverage and address it through follow-up research or deployment monitoring.