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WesVar is a Windows-based software package for analyzing data collected by surveys with complex sample designs. Sample designs that can be analyzed include stratified or unstratified designs, single- or multi-stage designs, one-time or longitudinal designs. A key aspect of WesVar is the calculation of design-based standard errors that take the complex sample design (e.g., stratification and clustering) into account.

WesVar calculates sampling variances using the jackknife and balanced repeated replication methods. WesVar users can calculate and use their own replicate weights or have WesVar calculate the replicate weights. WesVar can perform weight adjustments for nonresponse, post-stratification, and raking. Such weight adjustments are performed on both the full-sample weights and the replicate weights, so that calculated sampling variances take into account the effects of weight adjustments.

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