Hard-to-Survey Populations PDF Download
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Author: Roger Tourangeau
Publisher: Cambridge University Press
ISBN: 1107031354
Category : Political Science
Languages : en
Pages : 675
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Book Description
Examines the different populations and settings that can make surveys hard to conduct and discusses methods to meet these challenges.
Author: Roger Tourangeau
Publisher: Cambridge University Press
ISBN: 1107031354
Category : Political Science
Languages : en
Pages : 675
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Book Description
Examines the different populations and settings that can make surveys hard to conduct and discusses methods to meet these challenges.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309476127
Category : Medical
Languages : en
Pages : 151
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Book Description
The increasing diversity of population of the United States presents many challenges to conducting health research that is representative and informative. Dispersion and accessibility issues can increase logistical costs; populations for which it is difficult to obtain adequate sample size are also likely to be expensive to study. Hence, even if it is technically feasible to study a small population, it may not be easy to obtain the funding to do so. In order to address the issues associated with improving health research of small populations, the National Academies of Sciences, Engineering, and Medicine convened a workshop in January 2018. Participants considered ways of addressing the challenges of conducting epidemiological studies or intervention research with small population groups, including alternative study designs, innovative methodologies for data collection, and innovative statistical techniques for analysis.
Author: Pierre Lavallée
Publisher: Springer Science & Business Media
ISBN: 0387707824
Category : Social Science
Languages : en
Pages : 256
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Book Description
This book is the reference on indirect sampling and the generalised weight share method. It reviews the different developments done by the author on these subjects. In addition to the underlying theory, the book presents different possible applications that drive its interest. The reader will find in this book the answer to questions that come, inevitably, when working in a context of indirect sampling.
Author: William Thompson
Publisher: Island Press
ISBN: 1610911067
Category : Nature
Languages : en
Pages : 447
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Book Description
Information regarding population status and abundance of rare species plays a key role in resource management decisions. Ideally, data should be collected using statistically sound sampling methods, but by their very nature, rare or elusive species pose a difficult sampling challenge. Sampling Rare or Elusive Species describes the latest sampling designs and survey methods for reliably estimating occupancy, abundance, and other population parameters of rare, elusive, or otherwise hard-to-detect plants and animals. It offers a mixture of theory and application, with actual examples from terrestrial, aquatic, and marine habitats around the world. Sampling Rare or Elusive Species is the first volume devoted entirely to this topic and provides natural resource professionals with a suite of innovative approaches to gathering population status and trend data. It represents an invaluable reference for natural resource professionals around the world, including fish and wildlife biologists, ecologists, biometricians, natural resource managers, and all others whose work or research involves rare or elusive species.
Author: Lonna Rae Atkeson
Publisher: Oxford University Press
ISBN: 0190903821
Category : Political Science
Languages : en
Pages : 711
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Book Description
The methodologies used to study public opinion are now in flux. The primary polling method of the last half-century, the telephone survey, is rapidly becoming obsolete as a data collection method. At the same time, new methods of contacting potential respondents and obtaining their response are appearing, providing a variety of options for scholars and practitioners. Generally speaking, we are moving from a polling world that was largely interviewer driven over the phone and face-to-face to predominantly interviewer driven self-administered poll environments, New methods of data collection, however, must still deal with fundamental questions to polling methodology and total survey error including sampling, selection bias, non-response error, poststratification weighting, and questionnaire design features. The Oxford Handbook on Polling and Survey Methods brings together a unique mixture of academics and practitioners, from various backgrounds, academic disciplines, and experiences. In some sense, this is reflective of the interdisciplinary nature of the polling and survey industry: polls and surveys are widely used in academia, government, and the private sector. Designing, implementing, and analyzing high quality, accurate, and cost-effective polls and surveys requires a combination of skills and methodological perspectives. Despite the well-publicized issues that have cropped up in recent political polling, a great deal is known today about how to collect high quality polling and survey data even in complex and difficult environments. Divided into four main sections, the Handbook draws on the existing research and explores data collection methods. It then addresses data analysis and the methods available for combining polling data with other types of data. The next section covers analytic issues, including the new approaches to studying public opinion (ie social media, the analysis of open-ended questions using text analytic tools, and data imputation). The final section focuses on the presentation of polling results, an area where there is a great deal of innovation. A comprehensive overview of the topic, this volume highlights current polling trends provides ideas for the development of new and better approaches for measuring, modeling, and visualizing public opinion and social behavior.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309170389
Category : Social Science
Languages : en
Pages : 537
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Book Description
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.
Author: Diana C. Mutz
Publisher: Princeton University Press
ISBN: 1400840481
Category : Social Science
Languages : en
Pages : 194
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Book Description
Population-based survey experiments have become an invaluable tool for social scientists struggling to generalize laboratory-based results, and for survey researchers besieged by uncertainties about causality. Thanks to technological advances in recent years, experiments can now be administered to random samples of the population to which a theory applies. Yet until now, there was no self-contained resource for social scientists seeking a concise and accessible overview of this methodology, its strengths and weaknesses, and the unique challenges it poses for implementation and analysis. Drawing on examples from across the social sciences, this book covers everything you need to know to plan, implement, and analyze the results of population-based survey experiments. But it is more than just a "how to" manual. This lively book challenges conventional wisdom about internal and external validity, showing why strong causal claims need not come at the expense of external validity, and how it is now possible to execute experiments remotely using large-scale population samples. Designed for social scientists across the disciplines, Population-Based Survey Experiments provides the first complete introduction to this methodology. Offers the most comprehensive treatment of the subject Features a wealth of examples and practical advice Reexamines issues of internal and external validity Can be used in conjunction with downloadable data from ExperimentCentral.org for design and analysis exercises in the classroom
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: United States. Bureau of the Census
Publisher:
ISBN:
Category : Demographic surveys
Languages : en
Pages : 190
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Book Description
Author: William P. O’Hare
Publisher: Springer
ISBN: 3030109739
Category : Social Science
Languages : en
Pages : 174
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Book Description
This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur. In addition to focusing on measuring census coverage for several demographic characteristics, including age, gender, race, Hispanic origin status, and tenure, it also considers several of the main hard-to-count populations, such as immigrants, the homeless, the LBGT community, children in foster care, and the disabled. However, given the dearth of accurate undercount data for these groups, they are covered less comprehensively than those demographic groups for which there is reliable undercount data from the Census Bureau. This book is of interest to demographers, statisticians, survey methodologists, and all those interested in census coverage.
