.png)
Cashing in on ABS GOLD? Exploring the Utility of ABS Frame Appended Auxiliary Data for Potential Nonresponse Bias Assessment and Adjustment
Anh Thu Burks
Nielsen
Lauren Walton
Nielsen
Trent Buskirk
Nielsen
Michael Link
Nielsen
Address based sampling (ABS) is a viable sampling methodology due to its near universal coverage of residential households with latest numbers placing coverage at 95% of houeholds (Link & Lai, 2011; AAPOR Cell Phone Task Force, 2010). The frame provides an alternative solution for coverage issues related to cell phone only homes and hard to reach demographic subgroups (18 - 34 year olds, blacks and Hispanics). Moreover, ABS frame data are rich and provide options for stratification, oversampling and nonresponse adjustments that extend beyond what is available in RDD designs. This paper presents results from a mixed-mode sample survey from an ABS frame which employed vigorous nonresponse follow-up protocols. All randomly selected households were mailed a survey and a subset of nonresponding households received a follow-up survey attempting to gain participation. We will assess the utility of ABS frame auxiliary variables in mitigating nonresponse biases by comparing nonresponse adjusted estimates based on both logistic and random forest propensity models derived using only collected survey demographics as well as those based on both survey demographic and ABS frame variables.