Replication data for: Beyond Reducing Nonresponse Bias: Modeling Item Nonresponse in Survey Research

This paper discusses the limitations of whitening out nonresponse bias with multiple imputation and discusses the extent to which item nonresponse can be modeled as a response in and of itself. Specifically, I propose three techniques for modeling nonresponse at two different levels. I introduce a technique for modeling nonresponse in a particular variable of interest with a regression model using multiply imputed values of the nonresponses as a key explanatory variable. I then introduce two techniques for modeling nonresponse in a series of variables or over the entirety of the dataset. Finally, I introduce a technique for weighting respondents by their rate of response. The methods described in this paper are implemented in the free software which accompanies this research.