Adaptive Survey Design

1. Auflage 2020
ISBN: 978-0-367-73598-2
Verlag: CRC Press

Buch, Englisch, 248 Seiten, Format (B × H): 155 mm x 231 mm, Gewicht: 376 g

Reihe: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for cost and bias reduction. People vary in how likely they are to respond and in how they respond. This variation leads to opportunities to selectively deploy design features in order to control both nonresponse and measurement errors. ASD aims at the optimal matching of design features and the characteristics of respondents given the survey budget. Such a goal is sensible, but ASD requires investment in more advanced technical systems and management infrastructure and asks for the collection of relevant auxiliary data. So what are current best practices in ASD? And is ASD worthwhile when the same auxiliary data are employed in the estimation afterwards? In this book, the authors provide answers to these questions, and much more.

Autoren/Hrsg.

Schouten, Barry

Peytchev, Andy

Wagner, James

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Section I: Introduction to Adaptive Survey Design 1. Introduction to the Handbook 2. What is an Adaptive Survey Design? Section II: Preparing an Adaptive Survey Design 3. Stratification 4. Strategies and Interventions 5. Modelling and Monitoring Nonresponse Section III: Implementing an Adaptive Survey Design 6. Costs and Logistics 7. Optimization of an Adaptive Survey Design 8. Sensitivity Analyses Section IV: Advanced Features of Adaptive Survey Design 9. Indicators to Support Optimization and Prioritization 10. Adaptive Survey Design and Adjustment for Nonresponse Section V: The Future of Adaptive Survey Design 11. Adaptive Survey Design and Measurement Error 12. The Future of Adaptive Survey Design

Über Autor(innen)

Andy Peytchev is a research assistant professor in the University of Michigan’s Program in Survey Methodology and the Joint Program in Survey Methodology at the University of Maryland.

Barry Schouten is senior methodologist at Statistics Netherlands and professor at Utrecht University.

James Wagner is research associate professor in the University of Michigan’s Program in Survey Methodology and the Joint Program in Survey Methodology at the University of Maryland.