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Activity Number: 333 - Adaptive Survey Design: Recent Advances and New Potential
Type: Topic Contributed
Date/Time: Tuesday, July 30, 2019 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #305271 Presentation
Title: Responsive and Adaptive Survey Design: Use of Bias Propensity During Data Collection to Reduce Nonresponse Bias
Author(s): Daniel Pratt* and Andrey Peytchev and Michael Duprey
Companies: RTI International and RTI International and RTI International
Keywords: responsive design; adaptive design; nonresponse bias reduction

Reduction of nonresponse bias has been a key focus in responsive and adaptive survey designs. Responsive design introduces two or more phases of data collection, each defined by a different protocol. The adaptive design aspect introduces targeting of the interventions to a subset of sample elements. Key in this approach is identification of nonrespondents who, if interviewed, can reduce nonresponse bias in survey estimates. From a design perspective, we need to identify an appropriate model to select targeted cases. From an evaluation perspective, gold standard measures are needed that can provide estimates of nonresponse bias. We designed a bias likelihood approach to selection of sample members to reduce nonresponse bias. Unlike a response propensity approach in which the objective is to maximize the prediction of nonresponse, this new approach deliberately excludes strong predictors of nonresponse that are uncorrelated with survey measures and uses covariates that are of substantive interest to the study. This study also provides a rare opportunity to estimate nonresponse bias, using rich sampling frame information and data from extensive nonresponse follow-up.

Authors who are presenting talks have a * after their name.

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