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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.

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Survey Weighting and Calibration

Taksonoomiline meetodikirje · process-pipeline / survey-methodology

Lohr, S. L. (2010). Sampling: Design and Analysis (2nd ed.). Brooks/Cole. · ISBN 978-0-495-10527-5

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Same method familyMultiple Imputationmachine-suggested · Relational suggestion, not evidence.Used in the same domainSmall Area Estimationmachine-suggested · Relational suggestion, not evidence.Same method familyStratified Samplingmachine-suggested · Relational suggestion, not evidence.