Adaptive Survey Design

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Synopsis

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.

Book details

Series:
Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Author:
Barry Schouten, Andy Peytchev, James Wagner
ISBN:
9781498767880
Related ISBNs:
9781315153964, 9781498767880, 9781315153964, 9781498767873, 9781498767873, 9781315153964, 9781498767880, 9781315153964, 9781498767873, 9781498767873, 9780367735982, 9781498767873, 9781315153964
Publisher:
CRC Press
Pages:
236
Reading age:
Not specified
Includes images:
No
Date of addition:
2019-04-26
Usage restrictions:
Copyright
Copyright date:
2017
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction