| Description |
1 online resource (xiii, 252 pages) : illustrations |
| Series |
Chapman & Hall/CRC statistics in the social and behavioral sciences series |
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Statistics in the social and behavioral sciences series.
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| Contents |
Cover ; Half Title ; Title Page ; Copyright Page ; Contents ; Acknowledgments ; Authors ; Section I: Introduction to Adaptive Survey Design ; 1. Introduction ; 1.1 Why a Book? ; 1.2 Intended Audience and Assumed Prior Knowledge ; 1.3 Outline of the Book |
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2. Adaptive Survey Design: What Is It? 2.1 Introduction ; 2.1.1 Survey Costs ; 2.1.2 Survey Errors ; 2.1.3 Other Challenges ; 2.1.4 Need for More Flexible Survey Designs to Address Uncertainty in Data Collection ; 2.1.5 Common Survey Design Paradigm ; 2.1.6 New Opportunities |
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2.2 ASD and RD 2.2.1 Adaptive Survey Design ; 2.2.2 Responsive Design ; 2.2.3 RD with ASD Features ; 2.3 Objectives of ASDs ; 2.4 Example Case Studies ; 2.4.1 National Intimate Partner and Sexual Violence Surveys ; 2.4.1.1 Propensity-Based Assignment to Interviewers |
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2.4.1.2 Propensity-Based Stopping of Sample Cases ("Interactive Case Management") 2.4.1.3 Phase Duration ; 2.4.2 The Dutch Labor Force Survey ; 2.4.3 National Survey of Family Growth ; 2.5 Summary ; Section II: Preparing an Adaptive Survey Design ; 3. Stratification |
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3.1 Introduction 3.2 Goals of Stratification ; 3.3 Defining Strata ; 3.3.1 Response Propensity Variation ; 3.3.2 Regression Diagnostics ; 3.3.3 Simulation ; 3.3.4 Other Methods for Creating Strata ; 3.3.5 Examples ; 3.3.5.1 The National Survey of Family Growth |
| Summary |
"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."--Provided by publisher |
| Bibliography |
Includes bibliographical references (pages 231-241) and index |
| Subject |
Surveys -- Methodology
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Sampling (Statistics)
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Social sciences -- Statistical methods.
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REFERENCE -- Questions & Answers.
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Sampling (Statistics)
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Social sciences -- Statistical methods
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Surveys -- Methodology
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| Form |
Electronic book
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| Author |
Peytchev, Andy, author.
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Wagner, James (James Robert), author.
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| ISBN |
9781498767880 |
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1498767885 |
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9781315153964 |
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1315153963 |
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