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Activity Number: 169 - SPEED:Improving Survey Data Quality with Multiple Data Sources, Administrative Data, and Nonresponse Bias Control
Type: Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #304861 Presentation
Title: Impact of Spatial Sampling on Survey Development and Analysis
Author(s): Atisha Amin* and Beatrice Abiero
Companies: Ipsos and Ipsos
Keywords: Spatial Statistics; Sampling; Survey Research; Design; Bias

Sampling geographically is an increasingly relevant method in survey design, analysis, and evaluation. Tools and inputs such as geographic information systems (GIS) and satellite imagery have the potential to inform survey sampling methods—especially for hard-to-survey populations. Furthermore, sampling geographically is important for context-specific challenges such as conflict and disaster situations as conventional sampling frames are either non-existent or inadequate. Accounting for spatial characteristics enhances probability-based systematic samples and provides a better understanding of the population of interest. Our work will highlight the impact of spatial sampling on social research, specifically global and health survey populations. In this study, we present a framework to determine when it is beneficial to utilize spatial sampling methods and demonstrate how spatial sampling decreases bias by accounting for spatial dependence and autocorrelation. This presentation also provides an illustrative example related to patient experience and health survey design to aid evaluators and researchers in understanding the benefits of spatial sampling.

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

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