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Author : Roger Tourangeau
Publisher : Cambridge University Press
Page : 675 pages
File Size : 50,8 Mb
Release : 2014-08-28
Category : Political Science
ISBN : 9781107031357
Examines the different populations and settings that can make surveys hard to conduct and discusses methods to meet these challenges.
Author : Diana C. Mutz
Publisher : Princeton University Press
Page : 194 pages
File Size : 51,6 Mb
Release : 2011-07-05
Category : Social Science
ISBN : 9781400840489
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 : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,Division of Behavioral and Social Sciences and Education,Committee on National Statistics
Publisher : National Academies Press
Page : 151 pages
File Size : 43,8 Mb
Release : 2018-07-02
Category : Medical
ISBN : 9780309476126
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 : National Research Council,Division of Behavioral and Social Sciences and Education,Commission on Behavioral and Social Sciences and Education,Committee on Population
Publisher : National Academies Press
Page : 327 pages
File Size : 47,7 Mb
Release : 1996-10-11
Category : Social Science
ISBN : 9780309055482
The reported population of American Indians and Alaska Natives has grown rapidly over the past 20 years. These changes raise questions for the Indian Health Service and other agencies responsible for serving the American Indian population. How big is the population? What are its health care and insurance needs? This volume presents an up-to-date summary of what is known about the demography of American Indian and Alaska Native populationâ€"their age and geographic distributions, household structure, employment, and disability and disease patterns. This information is critical for health care planners who must determine the eligible population for Indian health services and the costs of providing them. The volume will also be of interest to researchers and policymakers concerned about the future characteristics and needs of the American Indian population.
Author : Statistics Canada,Statistics Canada. Social Survey Methods Division
Publisher : Unknown
Page : 416 pages
File Size : 55,9 Mb
Release : 2003
Category : Enquêtes
ISBN : OSU:32435071728521
This publication shows readers how to design and conduct a census or sample survey. It explains basic survey concepts and provides information on how to create efficient and high quality surveys. It is aimed at those involved in planning, conducting or managing a survey and at students of survey design courses. This book contains the following information: formulating the survey objectives and design a questionnaire; things to consider when designing a survey (choosing between a sample or a census, defining the survey population, choosing which survey frame to use, possible sources of survey error); determining the sample size, allocate the sample across strata and select the sample; appropriate uses of survey data and methods of point and variance estimation in data analysis; data dissemination and disclosure control; using administrative data, particularly during the design and estimation phases; choosing a collection method (self-enumeration, personal interview or telephone interview, computer-assisted versus paper-based questionnaires); organizing and conducting data collection operations; processing data (all data handling activities between collection and estimation) and using quality control and quality assurance measures to minimize and control errors during various survey steps; and planning and managing a survey. This publication also includes a case study that illustrates the steps in developing a household survey, using the methods and principles presented in the book.
Author : Pierre Lavallée
Publisher : Springer Science & Business Media
Page : 256 pages
File Size : 45,8 Mb
Release : 2009-12-21
Category : Social Science
ISBN : 9780387707822
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 : National Research Council,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Data and Methods for Measuring the Effects of Changes in Social Welfare Programs
Publisher : National Academies Press
Page : 538 pages
File Size : 44,7 Mb
Release : 2002-01-20
Category : Social Science
ISBN : 9780309076234
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 : Katharina Toeppe,Hui Yan,Samuel Kai Wah Chu
Publisher : Springer Nature
Page : 505 pages
File Size : 42,7 Mb
Release : 2021-03-19
Category : Computers
ISBN : 9783030713058
This two-volume set LNCS 12645-12646 constitutes the refereed proceedings of the 16th International Conference on Diversity, Divergence, Dialogue, iConference 2021, held in Beijing, China, in March 2021. The 32 full papers and the 59 short papers presented in this two-volume set were carefully reviewed and selected from 225 submissions. They cover topics such as: AI and machine learning; data science; human-computer interaction; social media; digital humanities; education and information literacy; information behavior; information governance and ethics; archives and records; research methods; and institutional management.
Author : United States. Bureau of the Census
Publisher : Unknown
Page : 190 pages
File Size : 51,5 Mb
Release : 1978
Category : Demographic surveys
ISBN : UCR:31210002269866
Author : William P. O'Hare
Publisher : Springer
Page : 167 pages
File Size : 51,7 Mb
Release : 2019-01-01
Category : Census undercounts
ISBN : 9783030109738
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.
Author : Laura Wilson,Emma Dickinson
Publisher : SAGE
Page : 195 pages
File Size : 45,7 Mb
Release : 2021-11-03
Category : Social Science
ISBN : 9781529765052
Achieve your survey goals by empowering your survey respondents. Too often, surveys are designed for the analyst, rather than the respondent. This book challenges the status quo by putting respondents’ needs at the heart of survey development. It encourages you to stop, listen, and then design to improve response rates and collect high quality data. Drawing on their experience at the UK Office for National Statistics, the authors: Show you how to design better surveys by combining social research and user experience best practice. Equip you with the tools to design inclusive and accessible surveys. Enable you to overcome practical research problems, including managing participant recruitment, and working to any budget. Provide links to helpful web material and further reading as part of the book′s online resources. Promoting a new way to conceptualise and conduct survey design, this book expands your theoretical thinking and shows you, step-by-step, how to put it into practice.
Author : National Research Council,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on a Research Agenda for the Future of Social Science Data Collection
Publisher : National Academies Press
Page : 167 pages
File Size : 44,8 Mb
Release : 2013-10-26
Category : Social Science
ISBN : 9780309272476
For many household surveys in the United States, responses rates have been steadily declining for at least the past two decades. A similar decline in survey response can be observed in all wealthy countries. Efforts to raise response rates have used such strategies as monetary incentives or repeated attempts to contact sample members and obtain completed interviews, but these strategies increase the costs of surveys. This review addresses the core issues regarding survey nonresponse. It considers why response rates are declining and what that means for the accuracy of survey results. These trends are of particular concern for the social science community, which is heavily invested in obtaining information from household surveys. The evidence to date makes it apparent that current trends in nonresponse, if not arrested, threaten to undermine the potential of household surveys to elicit information that assists in understanding social and economic issues. The trends also threaten to weaken the validity of inferences drawn from estimates based on those surveys. High nonresponse rates create the potential or risk for bias in estimates and affect survey design, data collection, estimation, and analysis. The survey community is painfully aware of these trends and has responded aggressively to these threats. The interview modes employed by surveys in the public and private sectors have proliferated as new technologies and methods have emerged and matured. To the traditional trio of mail, telephone, and face-to-face surveys have been added interactive voice response (IVR), audio computer-assisted self-interviewing (ACASI), web surveys, and a number of hybrid methods. Similarly, a growing research agenda has emerged in the past decade or so focused on seeking solutions to various aspects of the problem of survey nonresponse; the potential solutions that have been considered range from better training and deployment of interviewers to more use of incentives, better use of the information collected in the data collection, and increased use of auxiliary information from other sources in survey design and data collection. Nonresponse in Social Science Surveys: A Research Agenda also documents the increased use of information collected in the survey process in nonresponse adjustment.
Author : Craig A. Hill,Paul P. Biemer,Trent D. Buskirk,Lilli Japec,Antje Kirchner,Stas Kolenikov,Lars E. Lyberg
Publisher : John Wiley & Sons
Page : 784 pages
File Size : 55,9 Mb
Release : 2020-09-29
Category : Social Science
ISBN : 9781118976326
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 : Johnny Blair,Ronald F. Czaja,Edward A. Blair
Publisher : SAGE
Page : 441 pages
File Size : 44,9 Mb
Release : 2014
Category : Social Science
ISBN : 9781412997348
Written with the needs and goals of a novice researcher in mind, this fully updated third edition provides an accurate account of how modern survey research is actually conducted. In addition to providing examples of alternative procedures, Designing Surveys shows how classic principles and recent research guide decision-making from setting the basic features of the survey through development, testing, and data collection.
Author : J. P. Verma,Abdel-Salam G. Abdel-Salam
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 44,8 Mb
Release : 2019-04-02
Category : Mathematics
ISBN : 9781119528418
Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
