Survey Weighting
Survey weighting is a statistical procedure that assigns a numeric weight to each sampled unit so that the weighted sample reproduces known population totals. Rooted in classical sampling theory and systematically synthesized by Sharon Lohr (2010), the approach corrects for unequal selection probabilities, unit nonresponse, and coverage gaps, producing estimates that are more representative of the target population than raw sample means or totals would be.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Lohr, S. L. (2010). Sampling: Design and Analysis (2nd ed.). Brooks/Cole. · ISBN 978-0-495-10527-5
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.