People's bonds, associations and networks - as well as the civil, political, and institutional characteristics of the society in which they live - can be powerful drivers affecting the quality of life among a community's, a city's, or a nation's inhabitants and their ability to achieve both individual and societal goals. Civic engagement, social cohesion, and other dimensions of social capital affect social, economic and health outcomes for individuals and communities. Can these be measured, and can federal surveys contribute toward this end? Can this information be collected elsewhere, and if so, how should it be collected? Civic Engagement and Social Cohesion identifies measurement approaches that can lead to improved understanding of civic engagement, social cohesion, and social capital - and their potential role in explaining the functioning of society. With the needs of data users in mind, this report examines conceptual frameworks developed in the literature to determine promising measures and measurement methods for informing public policy discourse. The report identifies working definitions of key terms; advises on the feasibility and specifications of indicators relevant to analyses of social, economic, and health domains; and assesses the strength of the evidence regarding the relationship between these indicators and observed trends in crime, employment, and resilience to shocks such as natural disasters. Civic Engagement and Social Cohesion weighs the relative merits of surveys, administrative records, and non-government data sources, and considers the appropriate role of the federal statistical system. This report makes recommendations to improve the measurement of civic health through population surveys conducted by the government and identifies priority areas for research, development, and implementation.
People's bonds, associations and networks - as well as the civil, political, and institutional characteristics of the society in which they live - can be powerful drivers affecting the quality of life among a community's, a city's, or a nation's inhabitants and their ability to achieve both individual and societal goals. Civic engagement, social cohesion, and other dimensions of social capital affect social, economic and health outcomes for individuals and communities. Can these be measured, and can federal surveys contribute toward this end? Can this information be collected elsewhere, and if so, how should it be collected? Civic Engagement and Social Cohesion identifies measurement approaches that can lead to improved understanding of civic engagement, social cohesion, and social capital - and their potential role in explaining the functioning of society. With the needs of data users in mind, this report examines conceptual frameworks developed in the literature to determine promising measures and measurement methods for informing public policy discourse. The report identifies working definitions of key terms; advises on the feasibility and specifications of indicators relevant to analyses of social, economic, and health domains; and assesses the strength of the evidence regarding the relationship between these indicators and observed trends in crime, employment, and resilience to shocks such as natural disasters. Civic Engagement and Social Cohesion weighs the relative merits of surveys, administrative records, and non-government data sources, and considers the appropriate role of the federal statistical system. This report makes recommendations to improve the measurement of civic health through population surveys conducted by the government and identifies priority areas for research, development, and implementation.
Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
Subjective well-being refers to how people experience and evaluate their lives and specific domains and activities in their lives. This information has already proven valuable to researchers, who have produced insights about the emotional states and experiences of people belonging to different groups, engaged in different activities, at different points in the life course, and involved in different family and community structures. Research has also revealed relationships between people's self-reported, subjectively assessed states and their behavior and decisions. Research on subjective well-being has been ongoing for decades, providing new information about the human condition. During the past decade, interest in the topic among policy makers, national statistical offices, academic researchers, the media, and the public has increased markedly because of its potential for shedding light on the economic, social, and health conditions of populations and for informing policy decisions across these domains. Subjective Well-Being: Measuring Happiness, Suffering, and Other Dimensions of Experience explores the use of this measure in population surveys. This report reviews the current state of research and evaluates methods for the measurement. In this report, a range of potential experienced well-being data applications are cited, from cost-benefit studies of health care delivery to commuting and transportation planning, environmental valuation, and outdoor recreation resource monitoring, and even to assessment of end-of-life treatment options. Subjective Well-Being finds that, whether used to assess the consequence of people's situations and policies that might affect them or to explore determinants of outcomes, contextual and covariate data are needed alongside the subjective well-being measures. This report offers guidance about adopting subjective well-being measures in official government surveys to inform social and economic policies and considers whether research has advanced to a point which warrants the federal government collecting data that allow aspects of the population's subjective well-being to be tracked and associated with changing conditions.
This volume, a companion to Evaluating Welfare Reform in an Era of Transition, is a collection of papers on data collection issues for welfare and low-income populations. The papers on survey issues cover methods for designing surveys taking into account nonresponse in advance, obtaining high response rates in telephone surveys, obtaining high response rates in in-person surveys, the effects of incentive payments, methods for adjusting for missing data in surveys of low-income populations, and measurement error issues in surveys, with a special focus on recall error. The papers on administrative data cover the issues of matching and cleaning, access and confidentiality, problems in measuring employment and income, and the availability of data on children. The papers on welfare leavers and welfare dynamics cover a comparison of existing welfare leaver studies, data from the state of Wisconsin on welfare leavers, and data from the National Longitudinal Survey of Youth used to construct measures of heterogeneity in the welfare population based on the recipient's own welfare experience. A final paper discusses qualitative data.
This volume examines social influences on violent events and violent behavior, particularly concentrating on how the risks of violent criminal offending and victimization are influenced by communities, social situations, and individuals; the role of spouses and intimates; the differences in violence levels between males and females; and the roles of psychoactive substances in violent events.
The United States is among the wealthiest nations in the world, but it is far from the healthiest. Although life expectancy and survival rates in the United States have improved dramatically over the past century, Americans live shorter lives and experience more injuries and illnesses than people in other high-income countries. The U.S. health disadvantage cannot be attributed solely to the adverse health status of racial or ethnic minorities or poor people: even highly advantaged Americans are in worse health than their counterparts in other, "peer" countries. In light of the new and growing evidence about the U.S. health disadvantage, the National Institutes of Health asked the National Research Council (NRC) and the Institute of Medicine (IOM) to convene a panel of experts to study the issue. The Panel on Understanding Cross-National Health Differences Among High-Income Countries examined whether the U.S. health disadvantage exists across the life span, considered potential explanations, and assessed the larger implications of the findings. U.S. Health in International Perspective presents detailed evidence on the issue, explores the possible explanations for the shorter and less healthy lives of Americans than those of people in comparable countries, and recommends actions by both government and nongovernment agencies and organizations to address the U.S. health disadvantage.
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