Reengineering the Survey of Income and Program Participation


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.




The 2014 Redesign of the Survey of Income and Program Participation


Book Description

The Survey of Income and Program Participation (SIPP) is a national, longitudinal household survey conducted by the Census Bureau. SIPP serves as a tool to evaluate the effectiveness of government-sponsored social programs and to analyze the impacts of actual or proposed modifications to those programs. SIPP was designed to fill a need for data that would give policy makers and researchers a much better grasp of how effectively government programs were reaching their target populations, how participation in different programs overlapped, and to what extent and under what circumstances people transitioned into and out of these programs. SIPP was also designed to answer questions about the short-term dynamics of employment, living arrangements, and economic well-being. The Census Bureau has reengineered SIPPâ€"fielding the initial redesigned survey in 2014. This report evaluates the new design compared with the old design. It compares key estimates across the two designs, evaluates the content of the redesigned SIPP and the impact of the new design on respondent burden, and considers content changes for future improvement of SIPP.




Using American Community Survey Data to Expand Access to the School Meals Programs


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.




Developing and Evaluating Methods for Using American Community Survey Data to Support the School Meals Programs


Book Description

The National School Lunch Program and the School Breakfast Program, administered by the Food and Nutrition Service 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 school-age children each day. Under the most commonly adopted provisions, USDA reimburses districts for meals served on the basis of data collected in a "base year," during which applications are taken. After 3 or 4 years, applications must be taken again to establish new base-year data, unless the district provides evidence that local conditions have not changed. A special provision that does not require applications to be taken every few years would reduce burden, be more attractive to school districts, and potentially increase student participation by expanding access to free meals. To support the development of such a provision, the Food and Nutrition Service asked the National Academies to study the technical and operational issues that arise in using data from the American Community Survey (ACS)-a new continuous survey replacing the long-form survey of the decennial census-to obtain estimates of students who are eligible for free and reduced-price meals for schools and school districts. Such estimates would be used to develop "claiming percentages" that, if sufficiently accurate, would determine federal reimbursements to districts for the schools that provide free meals to all students under a new special provision that eliminates the base-year requirements of current provisions.










The Nonresponse Challenge to Surveys and Statistics


Book Description

Surveys are the principal source of data not only for social science, but for consumer research, political polling, and federal statistics. In response to social and technological trends, rates of survey nonresponse have risen markedly in recent years, prompting observers to worry about the continued validity of surveys as a tool for data gathering. Newspaper stories, magazine articles, radio programs, television broadcasts, and Internet blogs are filled with data derived from surveys of one sort or another. Reputable media outlets generally indicate whether a survey is representative, but much of the data routinely bandied about in the media and on the Internet are not based on representative samples and are of dubious use in making accurate statements about the populations they purport to represent. Surveys are social interactions, and like all interactions between people, they are embedded within social structures and guided by shared cultural understandings. This issue of The ANNALS examines the difficulties with finding willing respondents to these surveys and how the changing structure of society, whether it be the changing family structure, mass immigration, rising inequality, or the rise of technology, has presented new issues to conducting surveys. This volume will be of interest to faculty and students who specialize in sociological movements as well as economic and immigration movements and its effect on surveying.







The Future of Disability in America


Book Description

The future of disability in America will depend on how well the U.S. prepares for and manages the demographic, fiscal, and technological developments that will unfold during the next two to three decades. Building upon two prior studies from the Institute of Medicine (the 1991 Institute of Medicine's report Disability in America and the 1997 report Enabling America), The Future of Disability in America examines both progress and concerns about continuing barriers that limit the independence, productivity, and participation in community life of people with disabilities. This book offers a comprehensive look at a wide range of issues, including the prevalence of disability across the lifespan; disability trends the role of assistive technology; barriers posed by health care and other facilities with inaccessible buildings, equipment, and information formats; the needs of young people moving from pediatric to adult health care and of adults experiencing premature aging and secondary health problems; selected issues in health care financing (e.g., risk adjusting payments to health plans, coverage of assistive technology); and the organizing and financing of disability-related research. The Future of Disability in America is an assessment of both principles and scientific evidence for disability policies and services. This book's recommendations propose steps to eliminate barriers and strengthen the evidence base for future public and private actions to reduce the impact of disability on individuals, families, and society.




Principles and Practices for a Federal Statistical Agency


Book Description

Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens. In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit. Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence. Principles and Practices for a Federal Statistical Agency: Fifth Edition explains these four principles in detail.