Paradata for Nonresponse Adjustment

Paradata for Nonresponse Adjustment

Survey researchers and practitioners use nonresponse adjustment weights to mitigate the effects of survey nonresponse on sample estimates. One challenge in creating these weights is finding useful auxiliary data that predict both the probability of participating in the survey and the survey variables of interest. This article reviews the use of paradata for nonresponse adjustment. Five differen...

Paradata for Nonresponse Error Investigation

Simultaneous Calibration and Nonresponse Adjustment

Single and joint inclusion probabilities are generally available and known for complex survey designs up to the point where survey weights are modified due to nonresponse and population controls. Best practice by sophisticated survey practitioners generally includes weight modifications, first by calibration, ratio adjustment or raking to correct for nonresponse, next by further steps to impose...

Nonresponse weighting adjustment using estimated response probability

To reduce nonresponse bias in sample surveys, a method of nonresponse weighting adjustment is often used which consists of multiplying the sampling weight of the respondent by the inverse of the estimated response probability. The authors examine the asymptotic properties of this estimator. They prove that it is generally more efficient than an estimator which uses the true response probability...

On the Formation of Weighting Adjustment Cells for Unit Nonresponse

1. Introduction Unit nonresponse occurs when entire interviews are missing due to noncontact of a sampled individual or refusal to answer the questionnaire. Weighting is a standard method of unit nonresponse adjustment and is a natural extension of weighting for unequal probabilities of selection. However, unlike the sample weight, the nonresponse rate is usually unknown and must be estimated. ...