Practical Methods For Design And Analysis Of Complex Surveys

Author : Risto Lehtonen,Erkki Pahkinen
Publisher : John Wiley & Sons
Page : 360 pages
File Size : 40,9 Mb
Release : 2004-03-05
Category : Mathematics
ISBN : 9780470091630

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Practical Methods for Design and Analysis of Complex Surveys by Risto Lehtonen,Erkki Pahkinen Pdf

Large surveys are becoming increasingly available for public use, and researchers are often faced with the need to analyse complex survey data to address key scientific issues. For proper analysis it is also important to be aware of the different aspects of the design of complex surveys. Practical Methods for Design and Analysis of Complex Surveys features intermediate and advanced statistical techniques for use in designing and analysing complex surveys. This extensively updated edition features much new material, and detailed practical exercises with links to a Web site, helping instructors and enabling use for distance learning. * Provides a comprehensive introduction to sampling and estimation in descriptive surveys, including design effect statistic and use of auxiliary data. * Includes detailed coverage of complex survey analysis, including design-based ANOVA and logistic regression with GEE estimation. * Contains much new material, including handling of non-sampling errors, and model-assisted estimation for domains. * Features detailed real-li fe case studies, such as multilevel modeling in a multinational educational survey. * Supported by a Web site containing software codes, real data sets, computerized exercises with solutions, and online training materials. Practical Methods for Design and Analysis of Complex Surveys provides a useful practical resource for researchers and practitioners working in the planning, implementation or analysis of complex surveys and opinion polls, including business, educational, health, social, and socio-economic surveys and official statistics. In addition, the book is well suited for use on intermediate and advanced courses in survey sampling.

Author : Thomas Lumley
Publisher : John Wiley & Sons
Page : 329 pages
File Size : 41,8 Mb
Release : 2011-09-20
Category : Mathematics
ISBN : 9781118210932

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Complex Surveys by Thomas Lumley Pdf

A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.

Author : Risto Lehtonen
Publisher : John Wiley & Sons
Page : 337 pages
File Size : 47,6 Mb
Release : 1995-06-13
Category : Mathematics
ISBN : 047193934X

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Practical Methods for Design and Analysis of Complex Surveys by Risto Lehtonen Pdf

Statistics in Practice, A new series of practical books outlining the use of statistical techniques in a wide range of application areas: Human and Biological Sciences Earth and Environmental Sciences Industry, Commerce and Finance Covering both survey sampling and survey analysis, the authors aim to provide the reader with a unified coverage of the practical tools of basic and more advanced survey sampling and estimation. Contents include: Sampling design. The design effect statistic. Use of auxiliary information. Methods for handling missing data. Variance and covariance estimation. Design-based analysis of frequency tables. Multivariate methods for complex surveys. Fully worked examples and case studies taken from official statistics and real surveys on health and social sciences are used to illustrate the various methods. Additional case studies are presented covering a range of topics such as business surveys, socio-economic surveys and educational surveys. Selected commercially available software packages for complex surveys are discussed with demonstrations using data from the case studies. Intended primarily for those involved in the planning, implementation or analysis of descriptive or analytical surveys and opinion polls, the book will also be of interest to researchers and students in many disciplines. In addition, the book is well suited for use on courses in survey sampling.

Author : Steven G. Heeringa,Brady T. West,Patricia A. Berglund
Publisher : CRC Press
Page : 790 pages
File Size : 52,8 Mb
Release : 2017-07-12
Category : Mathematics
ISBN : 9781351649308

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Applied Survey Data Analysis by Steven G. Heeringa,Brady T. West,Patricia A. Berglund Pdf

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s updated website.

Author : Richard Valliant,Jill A. Dever,Frauke Kreuter
Publisher : Springer
Page : 776 pages
File Size : 54,5 Mb
Release : 2018-10-12
Category : Social Science
ISBN : 9783319936321

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Practical Tools for Designing and Weighting Survey Samples by Richard Valliant,Jill A. Dever,Frauke Kreuter Pdf

The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select, and weight survey samples. The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages. Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition: • Details on new functions in the PracTools package • Additional machine learning methods to form weighting classes • New coverage of nonlinear optimization algorithms for sample allocation • Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors • A new chapter on nonprobability sampling • Additional examples, exercises, and updated references throughout Richard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research’s report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal. She is founder of the International Program for Survey and Data Science and co-founder of the Coleridge Initiative.

Author : R. L. Chambers,C. J. Skinner
Publisher : John Wiley & Sons
Page : 398 pages
File Size : 53,5 Mb
Release : 2003-08-01
Category : Mathematics
ISBN : 9780470864395

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Analysis of Survey Data by R. L. Chambers,C. J. Skinner Pdf

This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.

Author : Taylor H. Lewis
Publisher : CRC Press
Page : 341 pages
File Size : 52,5 Mb
Release : 2016-09-15
Category : Mathematics
ISBN : 9781498776806

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Complex Survey Data Analysis with SAS by Taylor H. Lewis Pdf

Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of these features can invalidate the assumptions underlying most traditional statistical techniques, this book equips readers with the knowledge to confidently account for them during the estimation and inference process by employing the SURVEY family of SAS/STAT® procedures. The book offers comprehensive coverage of the most essential topics, including: Drawing random samples Descriptive statistics for continuous and categorical variables Fitting and interpreting linear and logistic regression models Survival analysis Domain estimation Replication variance estimation methods Weight adjustment and imputation methods for handling missing data The easy-to-follow examples are drawn from real-world survey data sets spanning multiple disciplines, all of which can be downloaded for free along with syntax files from the author’s website: http://mason.gmu.edu/~tlewis18/. While other books may touch on some of the same issues and nuances of complex survey data analysis, none features SAS exclusively and as exhaustively. Another unique aspect of this book is its abundance of handy workarounds for certain techniques not yet supported as of SAS Version 9.4, such as the ratio estimator for a total and the bootstrap for variance estimation. Taylor H. Lewis is a PhD graduate of the Joint Program in Survey Methodology at the University of Maryland, College Park, and an adjunct professor in the George Mason University Department of Statistics. An avid SAS user for 15 years, he is a SAS Certified Advanced programmer and a nationally recognized SAS educator who has produced dozens of papers and workshops illustrating how to efficiently and effectively conduct statistical analyses using SAS.

Author : Eun Sul Lee,Ronald N. Forthofer
Publisher : SAGE
Page : 108 pages
File Size : 52,8 Mb
Release : 2006
Category : Mathematics
ISBN : 0761930388

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Analyzing Complex Survey Data by Eun Sul Lee,Ronald N. Forthofer Pdf

In this introduction to the different ways of analysing complex survey data, the authors consider new analytical approaches, review new software and introduce a model-based analysis that can be used for well-designed and relatively small-scale social surveys.

Author : Changbao Wu,Mary E. Thompson
Publisher : Springer Nature
Page : 371 pages
File Size : 44,6 Mb
Release : 2020-05-15
Category : Social Science
ISBN : 9783030442460

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Sampling Theory and Practice by Changbao Wu,Mary E. Thompson Pdf

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.

Author : Andrade,Marcia
Publisher : Autografia
Page : 54 pages
File Size : 49,7 Mb
Release : 2016-10-03
Category : Mathematics
ISBN : 9788555266690

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Mokken Scale & Complex Sampling Designs: insights by Andrade,Marcia Pdf

This is the first e-book that presents some insights into the construction of Mokken scales with complex survey data, and, in particular, the estimation of Mokken's scalability coefficients - Hij, Hi, and H - with binary responses. Every day, researchers work with complex samples selected from finite populations of interest to make inferences about population parameters. However, in many situations these samples are assumed as SRS samples. Serious consequences have been reported in the complex survey data literature; when this assumption is considered. I invite you to find out a little more about some relevant contributions to the development of the Psychometry under complex sampling designs, as highlighted in this e-book. Keywords: Mokken scaling, Mokken scale analysis, complex data, Complex Mokken, design effect, clustering, sampling weights, stratification, clustered samples, variance estimation, point estimation, large-scale educational surveys, Jackknife resampling technique, Non Parametric Item Response Theory.

Author : Louis M. Rea,Richard A. Parker
Publisher : John Wiley & Sons
Page : 358 pages
File Size : 40,6 Mb
Release : 2014-09-09
Category : Political Science
ISBN : 9781118767030

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Designing and Conducting Survey Research by Louis M. Rea,Richard A. Parker Pdf

The industry standard guide, updated with new ideas and SPSS analysis techniques Designing and Conducting Survey Research: A Comprehensive Guide Fourth Edition is the industry standard resource that covers all major components of the survey process, updated to include new data analysis techniques and SPSS procedures with sample data sets online. The book offers practical, actionable guidance on constructing the instrument, administrating the process, and analyzing and reporting the results, providing extensive examples and worksheets that demonstrate the appropriate use of survey and data techniques. By clarifying complex statistical concepts and modern analysis methods, this guide enables readers to conduct a survey research project from initial focus concept to the final report. Public and nonprofit managers with survey research responsibilities need to stay up-to-date on the latest methods, techniques, and best practices for optimal data collection, analysis, and reporting. Designing and Conducting Survey Research is a complete resource, answering the "what", "why", and "how" every step of the way, and providing the latest information about technological advancements in data analysis. The updated fourth edition contains step-by-step SPSS data entry and analysis procedures, as well as SPSS examples throughout the text, using real data sets from real-world studies. Other new information includes topics like: Nonresponse error/bias Ethical concerns and special populations Cell phone samples in telephone surveys Subsample screening and complex skip patterns The fourth edition also contains new information on the growing importance of focus groups, and places a special emphasis on data quality including size and variability. Those who employ survey research methods will find that Designing and Conducting Survey Research contains all the information needed to better design, conduct, and analyze a more effective survey.

Author : Seppo Laaksonen
Publisher : Springer
Page : 224 pages
File Size : 51,9 Mb
Release : 2018-07-05
Category : Social Science
ISBN : 9783319790114

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Survey Methodology and Missing Data by Seppo Laaksonen Pdf

This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.

Author : Anonim
Publisher : Unknown
Page : 36 pages
File Size : 46,8 Mb
Release : 1998
Category : Educational surveys
ISBN : UIUC:30112004822448

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Best Practices for Data Collectors and Data Providers by Anonim Pdf

Author : Paul J. Lavrakas
Publisher : SAGE
Page : 1073 pages
File Size : 43,7 Mb
Release : 2008-09-12
Category : Social Science
ISBN : 9781412918084

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Encyclopedia of Survey Research Methods by Paul J. Lavrakas Pdf

Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses--Publisher's website.

Author : Sarah R. Brown,Walter M. Gregory,Christopher J. Twelves,Julia M. Brown
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 51,8 Mb
Release : 2014-05-12
Category : Medical
ISBN : 9781118570906

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A Practical Guide to Designing Phase II Trials in Oncology by Sarah R. Brown,Walter M. Gregory,Christopher J. Twelves,Julia M. Brown Pdf

How to identify optimal phase II trial designs Providing a practical guide containing the information needed to make crucial decisions regarding phase II trial designs, A Practical Guide to Designing Phase II Trials in Oncology sets forth specific points for consideration between the statistician and clinician when designing a phase II trial, including issues such as how the treatment works, choice of outcome measure and randomization, and considering both academic and industry perspectives. A comprehensive and systematic library of available phase II trial designs is included, saving time otherwise spent considering multiple manuscripts, and real-life practical examples of using this approach to design phase II trials in cancer are given. A Practical Guide to Designing Phase II Trials in Oncology: Offers a structured and practical approach to phase II trial design Considers trial design from both an academic and industry perspective Includes a structured library of available phase II trial designs Is relevant to both clinical and statistical researchers at all levels Includes real life examples of applying this approach For those new to trial design, A Practical Guide to Designing Phase II Trials in Oncology will be a unique and practical learning tool, providing an introduction to the concepts behind informed decision making in phase II trials. For more experienced practitioners, the book will offer an overview of new, less familiar approaches to phase II trial design, providing alternative options to those which they may have previously used.