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Administrative records for survey methodology

Administrative records for survey methodology
Administrative records for survey methodology

Administrative Records for Survey Methodology addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes. Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.

Wiley
Chun, Asaph Young
b4b130ab-2989-4fdd-abaf-410829b2b0fd
Larsen, Michael D.
e165ba5b-4a51-47c8-ba2b-10bf2a8d5e7b
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Reiter, Jerome P.
b70b3bb7-ac77-4dd1-860a-4daa92e02fc2
Chun, Asaph Young
b4b130ab-2989-4fdd-abaf-410829b2b0fd
Larsen, Michael D.
e165ba5b-4a51-47c8-ba2b-10bf2a8d5e7b
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Reiter, Jerome P.
b70b3bb7-ac77-4dd1-860a-4daa92e02fc2

Chun, Asaph Young, Larsen, Michael D., Durrant, Gabriele and Reiter, Jerome P. (2021) Administrative records for survey methodology , Wiley, 354pp.

Record type: Book

Abstract

Administrative Records for Survey Methodology addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes. Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.

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More information

e-pub ahead of print date: 26 March 2021
Additional Information: Publisher Copyright: © 2021 John Wiley and Sons, Inc. All rights reserved.

Identifiers

Local EPrints ID: 470042
URI: http://eprints.soton.ac.uk/id/eprint/470042
PURE UUID: 58d0350b-bc3f-4270-aba0-9d5254eed31a

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Date deposited: 30 Sep 2022 16:51
Last modified: 07 Jun 2023 16:45

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Contributors

Author: Asaph Young Chun
Author: Michael D. Larsen
Author: Jerome P. Reiter

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