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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-worl...
Facilitating Innovation in the Federal Statistical System
On May 8, 2009, the symposium, The Federal Statistical System: Recognizing Its Contributions, Moving It Forward was held in Washington, DC. One of the topics considered at that symposium was the health of innovation in the federal statistical system. A consequence of the symposium was an agreement by the Committee on National Statistics to hold a workshop on the future of innovation in the federal statistical system. This workshop was held on June 29, 2010. The original statement of task for the workshop focused on three challenges to the statistical system: (1) the obstacles to innovative, focused research and development initiatives that could make statistical programs more cost effective;...
Refining the Concept of Scientific Inference When Working with Big Data
The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical model...
Handbook of Innovation Indicators and Measurement
Providing nuanced insight into key areas of innovation studies, this erudite second edition acknowledges the significance of innovation within the informal economy. It contributes to the broader scholarly discourse on innovation indicators and measurement, exploring the nature and rate of recent developments within the field.
Dark Territory
Originally published in hardcover in 2016 by Simon & Schuster.
Adaptive Survey Design
Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for cost and bias reduction. People vary in how likely they are to respond and in how they respond. This variation leads to opportunities to selectively deploy design features in order to control both nonresponse and measurement errors. ASD aims at the optimal matching of design features and the characteristics of respondents given the survey budget. Such a goal is sensible, but ASD requires investment in more advanced technical systems and management infrastructure and asks for the collection of relevant auxiliary data. So what are current best practices in ASD? And is ASD worthwhile when the same auxiliary data are employed in the estimation afterwards? In this book, the authors provide answers to these questions, and much more.
Business Survey Methods
Consists of invited papers, from internationally recognized researchers, chosen for their quality as well as their overall unity. Describes current methods along with innovative research and presents new technologies for solving problems unique to establishment surveys. Stages of the survey process are addressed in the first five parts with cross-cutting topics in the last section.
Shattered
#1 NEW YORK TIMES BESTSELLER It was never supposed to be this close. And of course she was supposed to win. How Hillary Clinton lost the 2016 election to Donald Trump is the riveting story of a sure thing gone off the rails. For every Comey revelation or hindsight acknowledgment about the electorate, no explanation of defeat can begin with anything other than the core problem of Hillary's campaign--the candidate herself. Through deep access to insiders from the top to the bottom of the campaign, political writers Jonathan Allen and Amie Parnes have reconstructed the key decisions and unseized opportunities, the well-intentioned misfires and the hidden thorns that turned a winnable contest in...
