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Paul P. Biemer - Big Data Meets Survey Science: A Collection of Innovative Methods

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Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem

This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data.

Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more.

  • Presents groundbreaking survey methods being utilized today in the field of Big Data
  • Explores how machine learning methods can be applied to the design, collection, and analysis of social science data
  • Filled with examples and illustrations that show how survey data benefits Big Data evaluation
  • Covers methods and applications used in combining Big Data with survey statistics
  • Examines regulations as well as ethical and privacy issues

Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.

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Table of Contents List of Tables Chapter 2 Chapter 3 Chapter 4 Chapter - photo 1
Table of Contents
List of Tables
  1. Chapter 2
  2. Chapter 3
  3. Chapter 4
  4. Chapter 5
  5. Chapter 6
  6. Chapter 7
  7. Chapter 8
  8. Chapter 11
  9. Chapter 12
  10. Chapter 14
  11. Chapter 15
  12. Chapter 16
  13. Chapter 17
  14. Chapter 18
  15. Chapter 19
  16. Chapter 20
  17. Chapter 22
  18. Chapter 23
  19. Chapter 24
List of Illustrations
  1. Chapter 3
  2. Chapter 4
  3. Chapter 5
  4. Chapter 6
  5. Chapter 7
  6. Chapter 8
  7. Chapter 9
  8. Chapter 10
  9. Chapter 12
  10. Chapter 13
  11. Chapter 14
  12. Chapter 15
  13. Chapter 16
  14. Chapter 17
  15. Chapter 18
  16. Chapter 19
  17. Chapter 22
  18. Chapter 23
  19. Chapter 24
Guide
Pages
Big Data Meets Survey Science
A Collection of Innovative Methods

Edited by

Craig A. Hill

Paul P. Biemer

Trent D. Buskirk

Lilli Japec

Antje Kirchner

Stas Kolenikov

Lars E. Lyberg

This edition first published 2021 2021 John Wiley Sons All rights reserved - photo 2

This edition first published 2021

2021 John Wiley & Sons

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

The right of Craig A. Hill, Paul P. Biemer, Trent D. Buskirk, Lilli Japec, Antje Kirchner, Stas Kolenikov, and Lars E. Lyberg to be identified as the editorial material in this work has been asserted in accordance with law.

Registered Office

John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA

Editorial Office

111 River Street, Hoboken, NJ 07030, USA

For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

Wiley also publishes its books in a variety of electronic formats and by printondemand. Some content that appears in standard print versions of this book may not be available in other formats.

Limit of Liability/Disclaimer of Warranty

While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

Library of Congress CataloginginPublication Data

Names: Hill, Craig A., 1956- editor. | Biemer, Paul P., editor. | Buskirk,

Trent D., 1971- editor. | Japec, Lilli, 1966- editor. | Kirchner, Antje,

1982- editor. | Kolenikov, Stanislav, editor. | Lyberg, Lars, editor. |

John Wiley & Sons, publisher.

Title: Big data meets survey science : a collection of innovative methods /

edited by Craig A. Hill, Paul P. Biemer, Trent D. Buskirk, Lilli Japec,

Antje Kirchner, Stas Kolenikov, Lars Erik Lyberg.

Description: Hoboken, NJ : John Wiley & Sons, Inc., 2021. | Includes index.

Identifiers: LCCN 2020022652 (print) | LCCN 2020022653 (ebook) | ISBN

9781118976326 (cloth) | ISBN 9781118976333 (adobe pdf) | ISBN

9781118976340 (epub)

Subjects: LCSH: Big data. | Social surveys--Methodology.

Classification: LCC QA76.9.B45 B5563 2021 (print) | LCC QA76.9.B45

(ebook) | DDC 001.4/33028557--dc23

LC record available at https://lccn.loc.gov/2021022652

LC ebook record available at https://lccn.loc.gov/2021022653

Cover Design: Wiley

Cover Image: Courtesy of RTI International

List of Contributors
  • Ashley Amaya
  • RTI International
  • Research Triangle Park
  • NC, USA
  • Safaa Amer
  • RTI International
  • Research Triangle Park
  • NC, USA
  • Lyndon Ang
  • Australian Bureau of Statistics
  • ABS House
  • Belconnen, ACT 2617, Australia
  • School of Mathematics
  • National Institute for Applied Statistical Research
  • Australian University of Wollongong
  • Keiraville, NSW 2500, Australia
  • Ruben Bach
  • Department of Sociology
  • School of Social Sciences
  • University of Mannheim
  • Germany
  • Sebastian Bhr
  • Institute for Employment Research
  • Nuremberg, Germany
  • Marcus E. Berzofsky
  • RTI International
  • Research Triangle Park
  • NC, USA
  • Paul P. Biemer
  • RTI International
  • Research Triangle Park
  • NC, USA
  • Leticia Bode
  • Communication, Culture, and Technology
  • Georgetown University
  • Washington, DC, USA
  • Barteld Braaksma
  • Statistics Netherlands
  • The Hague/Heerlen, The Netherlands
  • Amy Briesch
  • Bouve College of Health Sciences
  • Northeastern University
  • Storrs, CT, USA
  • Ceren Budak
  • School of Information
  • University of Michigan
  • Ann Arbor, MI, USA
  • David BuilGil
  • University of Manchester
  • Department of Criminology
  • Manchester, UK
  • Amelia BurkeGarcia
  • NORC
  • University of Chicago
  • Bethesda, MD, USA
  • Trent D. Buskirk
  • Applied Statistics and Operations Research Department
  • College of Business, Bowling Green State University
  • Bowling Green, OH, USA
  • Sandra M. Chafouleas
  • The Neag School of Education
  • University of Connecticut
  • Storrs, CT, USA
  • Rob Chew
  • RTI International
  • Research Triangle Park
  • NC, USA
  • Jennifer H. Childs
  • US Census Bureau
  • Center for Behavioral Science Methods
  • Washington, DC, USA
  • Steven B. Cohen
  • RTI International
  • Research Triangle Park
  • NC, USA
  • Alexia Cooper
  • Bureau of Justice Statistics
  • Washington, DC, USA
  • G. Lance Couzens
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