JSM 2004 - Toronto

Abstract #302084

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Activity Number: 260
Type: Topic Contributed
Date/Time: Tuesday, August 10, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #302084
Title: Composite Response Rates for Surveys with Nonresponse Follow-up
Author(s): Jill A. Dever*+ and Avinash Singh and Vincent G. Iannacchione
Companies: RTI International and RTI International and RTI International
Address: 1615 M St. NW, Suite 740, Washington, DC, 20036,
Keywords: composite response rate ; dual-frame estimation ; weight calibration
Abstract:

Unweighted response rates (RR) can sometimes lead to biased conclusions about the response propensity of a surveyed population. Using the AAPOR RR3 definition, we calculated a 54.4% RR to a stratified sample of 10,301 Gulf War veterans (GW). This RR was almost 10 percentage points higher than the corresponding design-weighted response rate (WRR) of 44.9% due to oversampling females and reservists. In an effort to reduce potential NR bias, we conducted a telephone follow-up of 1,000 mail nonrespondents, achieving a 55.5 RR. For a survey with a NR follow-up, the WRR offers a way to measure the combined response to the initial survey and the follow-up. While the usual double-sampling estimator provides an unbiased estimate of the combined RR, it may be unstable especially if the follow-up subsample is small. We show that the ideas underlying dual-frame estimation together with weight calibration produce a composite RR for the GW survey that is more efficient than a double-sampling estimator.

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