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Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members. What are current best practices in ASD? 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.

This book covers mixed-mode data collection methods and its consequence for the survey process from design, data collection, and estimation. It is an invaluable resource for professionals involved in survey research and analysis, graduate students of survey methodology and academics working in the area.