Weighting is a correction technique that is used by survey researchers. It refers to statistical adjustments that are made to survey data after they have been collected in order to improve the accuracy of the survey estimates. There are two basic reasons that survey researchers weight their data. One is to correct for unequal probabilities of selection that often have occurred during sampling. The other is to try to help compensate for survey nonresponse. This entry addresses weighting as it relates to the second of these purposes.

Why Weighting For Nonresponse Is Necessary

Essentially all surveys suffer from nonresponse. This occurs either when elements (persons, households, companies) in the selected sample do not provide the requested information or when the provided information is useless. The situation in ...

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