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.

section I|34 pages

Introduction to Adaptive Survey Design

chapter 1|6 pages


chapter 2|26 pages

Adaptive Survey Design: What Is It?

section II|52 pages

Preparing an Adaptive Survey Design

chapter 3|20 pages


chapter 4|20 pages

Interventions and Design Features

section III|54 pages

Implementing an Adaptive Survey Design

chapter 6|22 pages

Costs and Logistics

chapter 7|14 pages

Optimization of Adaptive Survey Design

chapter 8|16 pages

Robustness of Adaptive Survey Designs

section IV|56 pages

Advanced Features of Adaptive Survey Design

section V|34 pages

The Future of Adaptive Survey Design

chapter 11|24 pages

Adaptive Survey Design and Measurement Error

chapter 12|8 pages

The Future of Adaptive Survey Design