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Author: Asaph Young Chun
Publisher: John Wiley & Sons
ISBN: 1119272041
Category : Mathematics
Languages : en
Pages : 384
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Book Description
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.
Author: Asaph Young Chun
Publisher: John Wiley & Sons
ISBN: 1119272041
Category : Mathematics
Languages : en
Pages : 384
Get Book Here
Book Description
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.
Author: Judith Bartfeld
Publisher: Stanford University Press
ISBN: 0804796874
Category : Social Science
Languages : en
Pages : 289
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Book Description
In 1963, President Kennedy proposed making permanent a small pilot project called the Food Stamp Program (FSP). By 2013, the program's fiftieth year, more than one in seven Americans received benefits at a cost of nearly $80 billion. Renamed the Supplemental Nutrition Assistance Program (SNAP) in 2008, it currently faces sharp political pressure, but the social science research necessary to guide policy is still nascent. In SNAP Matters, Judith Bartfeld, Craig Gundersen, Timothy M. Smeeding, and James P. Ziliak bring together top scholars to begin asking and answering the questions that matter. For example, what are the antipoverty effects of SNAP? Does SNAP cause obesity? Or does it improve nutrition and health more broadly? To what extent does SNAP work in tandem with other programs, such as school breakfast and lunch? Overall, the volume concludes that SNAP is highly responsive to macroeconomic pressures and is one of the most effective antipoverty programs in the safety net, but the volume also encourages policymakers, students, and researchers to continue examining this major pillar of social assistance in America.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309257204
Category : Social Science
Languages : en
Pages : 383
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Book Description
The National School Lunch and School Breakfast Programs, administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA), are key components of the nation's food security safety net, providing free or low-cost meals to millions of schoolchildren each day. To qualify their children each year for free or reduced-price meals, many families must submit applications that school officials distribute and review. To reduce this burden on families and schools and to encourage more children to partake of nutritious meals, USDA regulations allow school districts to operate their meals programs under special provisions that eliminate the application process and other administrative procedures in exchange for providing free meals to all students enrolled in one or more school in a district. FNS asked the National Academies' Committee on National Statistics and Food and Nutrition Board to convene a panel of experts to investigate the technical and operational feasibility of using data from the continuous American Community Survey (ACS) to estimate students eligible for free and reduced-price meals for schools and school districts. The ACS eligibility estimates would be used to develop "claiming percentages" that, if sufficiently accurate, would determine the USDA reimbursements to districts for schools that provided free meals to all students under a new special provision that eliminated the ongoing base-year requirements of current provisions. Using American Community Survey Data to Expand Access to the School Meals Program was conducted in two phases. It first issued an interim report (National Research Council, 2010), describing its planned approach for assessing the utility of ACS-based estimates for a special provision to expand access to free school meals. This report is the final phase which presents the panel's findings and recommendations.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309670748
Category : Medical
Languages : en
Pages : 231
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Book Description
Patterns of food consumption and nutritional intake strongly affect the population's health and well-being. The Food Economics Division of USDA's Economic Research Service (ERS) engages in research and data collection to inform policy making related to the leading federal nutrition assistance programs managed by USDA's Food and Nutrition Service. The ERS uses the Consumer Food Data System to understand why people choose foods, how food assistance programs affect these choices, and the health impacts of those choices. At the request of ERS, A Consumer Food Data System for 2030 and Beyond provides a blueprint for ERS's Food Economics Division for its data strategy over the next decade. This report explores the quality of data collected, the data collection process, and the kinds of data that may be most valuable to researchers, policy makers, and program administrators going forward. The recommendations of A Consumer Food Data System for 2030 and Beyond will guide ERS to provide and sustain a multisource, interconnected, reliable data system.
Author: Susan J. Ferguson
Publisher: SAGE Publications
ISBN: 1071822535
Category : Social Science
Languages : en
Pages : 657
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Book Description
Mapping The Social Landscape is one of the most established and widely-used readers for Introductory Sociology. Susan J. Ferguson selects, edits, and introduces 58 readings representing a plurality of voices and views within sociology. The selections include classic statements from great thinkers like C. Wright Mills, Karl Marx, and Max Weber, as well of the works of contemporary scholars who address current social issues.
Author: United States. President
Publisher: BernanPress
ISBN: 9780160950575
Category : United States
Languages : en
Pages : 720
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Book Description
"The Economic Report of the President provides valuable information about the present state of the U.S. economy and its future course. The Economic Report is issued by the Executive Office of the President and the Council of Economic Advisers and transmitted to Congress no later than 10 days after the submission of the Budget of the United States Government... For more than 70 years, the Economic Report has provided a nearly contemporaneous record of how administrations have interpreted economic developments, the motivation for policy actions, and the results of those interventions. Included in the Economic Report of the President is the Annual Report of the Council of Economic Advisers. Each year, the Council of Economic Advisers submits this report on its activities during the previous calendar year in accordance with the requirements of the Congress as set forth in section 10(d) of the Employment Act of 1946 as amended by the Full Employment and Balanced Growth Act of 1978." --Amazon.com.
Author: Craig A. Hill
Publisher: John Wiley & Sons
ISBN: 1118976320
Category : Social Science
Languages : en
Pages : 784
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Book Description
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.
Author: HHS Policy Information Center (U.S.)
Publisher:
ISBN:
Category : Human services
Languages : en
Pages : 602
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Book Description
Author: Timothy P. Johnson
Publisher: John Wiley & Sons
ISBN: 1118594746
Category : Medical
Languages : en
Pages : 840
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Book Description
A comprehensive guidebook to the current methodologies and practices used in health surveys A unique and self-contained resource, Handbook of Health Survey Methods presents techniques necessary for confronting challenges that are specific to health survey research. The handbook guides readers through the development of sample designs, data collection procedures, and analytic methods for studies aimed at gathering health information on general and targeted populations. The book is organized into five well-defined sections: Design and Sampling Issues, Measurement Issues, Field Issues, Health Surveys of Special Populations, and Data Management and Analysis. Maintaining an easy-to-follow format, each chapter begins with an introduction, followed by an overview of the main concepts, theories, and applications associated with each topic. Finally, each chapter provides connections to relevant online resources for additional study and reference. The Handbook of Health Survey Methods features: 29 methodological chapters written by highly qualified experts in academia, research, and industry A treatment of the best statistical practices and specific methodologies for collecting data from special populations such as sexual minorities, persons with disabilities, patients, and practitioners Discussions on issues specific to health research including developing physical health and mental health measures, collecting information on sensitive topics, sampling for clinical trials, collecting biospecimens, working with proxy respondents, and linking health data to administrative and other external data sources Numerous real-world examples from the latest research in the fields of public health, biomedicine, and health psychology Handbook of Health Survey Methods is an ideal reference for academics, researchers, and practitioners who apply survey methods and analyze data in the fields of biomedicine, public health, epidemiology, and biostatistics. The handbook is also a useful supplement for upper-undergraduate and graduate-level courses on survey methodology.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309141737
Category : Social Science
Languages : en
Pages : 188
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Book Description
Beginning in 2006, the Census Bureau embarked on a program to reengineer the Survey of Income and Program Participation (SIPP) to reduce its costs and improve data quality and timeliness. The Bureau also requested the National Academies to consider the advantages and disadvantages of strategies for linking administrative records and survey data, taking account of the accessibility of relevant administrative records, the operational feasibility of linking, the quality and usefulness of the linked data, and the ability to provide access to the linked data while protecting the confidentiality of individual respondents. In response, this volume first examines the history of SIPP and reviews the survey's purpose, value, strengths, and weaknesses. The book examines alternative uses of administrative records in a reengineered SIPP and, finally, considers innovations in SIPP design and data collection, including the proposed use of annual interviews with an event history calendar.
