Auxiliary variables are those that the researcher should build into a survey that allow a comparison between sample units that do respond and those that do not respond.

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Auxiliary variables are commonly used in survey research to reduce nonresponse bias by allowing researchers to compare and adjust for differences between respondents and nonrespondents. These variables are typically collected from both groups and used to create weighting or imputation models to more accurately estimate population parameters.

Auxiliary Variables Are Those That the Researcher Should Build into a Survey