SURVEY WEIGHT CONCENTRATION AUDIT
StatMedAnalysis | 1 November 2026

Purpose: Record why weights exist and distinguish weight concentration from full design-based uncertainty.

Instructions: Save a working copy. Complete each prompt using aggregate summaries or design decisions. Do not include patient identifiers, actual allocation sequences, or confidential records. Write NOT REPORTED, NOT APPLICABLE (with reason), or UNRESOLVED instead of silently leaving a field blank. Resolve flagged issues before using outputs in a report. This is an original planning aid, not a validated instrument or approval certificate.

1. Target population, sampling frame and estimator/outcome:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

2. Weight type: sampling, nonresponse, calibration or other; source:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

3. Entered sample count, positive and zero-weight counts:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

4. Weight range and scaling convention; identify negative/nonfinite weights:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

5. Sum of weights and squared weights (approved analysis environment):
Response: __________________________________________________________
Evidence/action: ___________________________________________________

6. Kish weight-only effective n and effective/entered n:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

7. Clusters, strata and finite-population information:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

8. Association between weights and outcome; why Kish alone may be misleading:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

9. Trimming/calibration decisions and prespecified sensitivity checks:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

10. Design-based variance method, software and replicate weights if applicable:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

11. Limitations, unresolved issues, responsible analyst and action:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

12. Data/weight version, method source, independent check and date:
Response: __________________________________________________________
Evidence/action: ___________________________________________________

Related guide and tool: https://www.statmedanalysis.com/resources
Keep the completed copy in your approved research workspace.