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Big Data Meets Survey Science
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 ...
Techniques for Asking Sensitive Questions in Labour Market Surveys
Um Antwortverzerrungen bei der Erhebung von sozial unerwünschtem Verhalten in Arbeitsmarktsurveys zu reduzieren, können spezielle Befragungstechniken eingesetzt werden. Die Arbeit untersucht die Wirksamkeit dieser alternativen Fragetechniken - wie Randomized Response Technique (RRT) und Item Count Technique (ICT) - zur Erhebung des Ausmaßes von Schwarzarbeit und Arbeitslosengeld-II-Bezug in Deutschland. Außerdem wird eine neue Methode zur Erhebung von quantitativen heiklen Merkmalen entwickelt und angewendet: die Item Sum Technique (IST). Die Befunde zeigen, dass die häufig angenommene Wirkung der RRT oder der ICT auf die Bereitschaft der Befragten, sozial unerwünschtes Verhalten zu berichten, nicht eindeutig ausfällt. Die Ergebnisse der IST fallen hingegen positiver aus.
The Politics of Budgets
While governments prefer to alter budgets to fit their ideological stances, the domestic and international contexts can facilitate or constrain behavior. The Politics of Budgets demonstrates when governments do and do not make preferred budgetary changes. It argues for an interconnected view of budgets and explores both the reallocation of expenditures across policy areas and the interplay among budgetary components. While previous scholars have investigated how politics and economics shape a single budgetary category, or collective categories, this methodologically rich study analyzes data for thirty-three countries across thirty-five years to provide a more comprehensive theoretical approach: a 'holistic' framework about the competition and contexts around the budgetary process and an of examination of how and when these factors affect the budgetary decision-making processes.
The essential role of language in survey research
Language users, such as survey respondents and interviewers, must speak the same language literally and figuratively to interact with each other. As diversity grows in the United States and globally, interviewers and respondents may speak a different language or speak the same language differently that reflects their own cultural norms of communication. This book discusses the role of language in survey research when comparisons across groups, cultures, and countries are of interest. Language use in surveys is dynamic, including words, symbols (e.g., arrows), and even emojis. The entire survey life cycle is carried out through language. Researchers write or translate questions and instructio...
A Loud but Noisy Signal?
Explores how public opinion affects policy-making in education and the conditions that make party and interest groups politics matter more.
Total Survey Error in Practice
Featuring a timely presentation of total survey error (TSE), this edited volume introduces valuable tools for understanding and improving survey data quality in the context of evolving large-scale data sets This book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation, and analysis. It recognizes that survey data affects many public policy and business decisions and thus focuses on the framework for understanding and improving survey data quality. The book also addresses issues with data quality in official statistics and in social, opinion, and market research as these fields continue to evolve, leading to larger and me...
IoT-based Intelligent Modelling for Environmental and Ecological Engineering
This book brings to readers thirteen chapters with contributions to the benefits of using IoT and Cloud Computing to agro-ecosystems from a multi-disciplinary perspective. IoT and Cloud systems have prompted the development of a Cloud digital ecosystem referred to as Cloud-to-thing continuum computing. The key success of IoT computing and the Cloud digital ecosystem is that IoT can be integrated seamlessly with the physical environment and therefore has the potential to leverage innovative services in agro-ecosystems. Areas such as ecological monitoring, agriculture, and biodiversity constitute a large area of potential application of IoT and Cloud technologies. In contrast to traditional ag...
Institutions, Governance and the Control of Corruption
This book considers how emerging economies around the world face the challenge of building good institutions and effective governance, since so much of economic development depends on having these in place. The promotion of shared prosperity and the battle against poverty require interventions to reach out to the poor and the disadvantaged. Yet time and again we have seen such effort foild or diminished by corruption and leakage. The creation of good governance and institutions and structures to combat corruption require determination and passion but also intricate design rooted in data, analysis, and research. In this book, leading researchers from around the world bring to the table some of the best available ideas to help create better governance structures, design laws for corruption control, and nurture good institutions.
Big Data for Twenty-First-Century Economic Statistics
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer sp...
The Palgrave Handbook of Survey Research
This handbook is a comprehensive reference guide for researchers, funding agencies and organizations engaged in survey research. Drawing on research from a world-class team of experts, this collection addresses the challenges facing survey-based data collection today as well as the potential opportunities presented by new approaches to survey research, including in the development of policy. It examines innovations in survey methodology and how survey scholars and practitioners should think about survey data in the context of the explosion of new digital sources of data. The Handbook is divided into four key sections: the challenges faced in conventional survey research; opportunities to expand data collection; methods of linking survey data with external sources; and, improving research transparency and data dissemination, with a focus on data curation, evaluating the usability of survey project websites, and the credibility of survey-based social science. Chapter 23 of this book is open access under a CC BY 4.0 license at link.springer.com.
