Practical Tools for Designing and Weighting Survey Samples by Richard Valliant (

Description: Practical Tools for Designing and Weighting Survey Samples by Richard Valliant, Jill A. Dever, Frauke Kreuter 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 chapteron nonprobability sampling• Additional examples, exercises, and updated references throughoutRichard 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 Researchs 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. Back Cover 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 Researchs 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 N Author Biography 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 Researchs 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. Table of Contents Preface.- Acknowledgements.- 1 An Overview of Sample Design and Weighting.- 2 Project 1: Design a Single-Stage Personnel Survey.- 3 Sample Design and Sample Size for Single-Stage Surveys.- 4 Power Calculations and Sample Size Determination.- 5 Mathematical Programming.- 6 Outcome Rates and Effect on Sample Size.- 7 The Personnel Survey Design Project: One Solution.- 8 Project 2: Designing an Area Sample.- 9 Designing Multistage Samples.- 10 Area Sampling.- 11 The Area Sample Design: One Solution.- 12 Project 3: Weighting a Personnel Survey.- 13 Basic Steps in Weighting.- 14 Calibration and Other Uses of Auxiliary Data in Weighting.- 15 Variance Estimation.- 16 Weighting the Personnel Survey: One Solution.- 17 Multiphase Designs.- 18 Nonprobability Samples.- 19 Process Control and Quality Measures.- Appendix A: Notation Glossary.- Appendix B: Data Sets.- Appendix C: R Functions Used in this Book.- References.- Solutions to Selected Exercises.- Index. Review "This book attempts to explain long used approaches, illustrate how existing software can be used to solve survey problems, and develop some specialized software where needed with a focus on related practitioners (i.e. students, survey statisticians, and other survey practitioners). … this book may be useful to students, survey statisticians, social scientists and other survey practitioners. The book may also serve as a useful reference for other professionals engaged in the conduct of sample surveys." (Sada Nand Dwivedi, ISCB News, iscb.info, Issue 67, June, 2019) Long Description 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 Researchs 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 N Review Quote "This book attempts to explain long used approaches, illustrate how existing software can be used to solve survey problems, and develop some specialized software where needed with a focus on related practitioners (i.e. students, survey statisticians, and other survey practitioners). ... this book may be useful to students, survey statisticians, social scientists and other survey practitioners. The book may also serve as a useful reference for other professionals engaged in the conduct of sample surveys." (Sada Nand Dwivedi, ISCB News, iscb.info, Issue 67, June, 2019) Feature Step-by-step instructions for calculating survey weights Extensive real-world examples and applications throughout Demonstrates how to use existing software to solve survey problems The most up-to-date textbook and professional reference for statistical survey sampling Description for Sales People Step-by-step instructions for calculating survey weights Extensive real-world examples and applications throughout Demonstrates how to use existing software to solve survey problems The most up-to-date textbook and professional reference for statistical survey sampling Details ISBN3030066983 Author Frauke Kreuter Language English ISBN-10 3030066983 ISBN-13 9783030066987 Format Paperback DEWEY 519.5 Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Pages 776 Year 2018 Publication Date 2018-12-26 Edition 2nd UK Release Date 2018-12-26 Publisher Springer Nature Switzerland AG Edition Description Softcover reprint of the original 2nd ed. 2018 Series Statistics for Social and Behavioral Sciences Alternative 9783319936314 Audience Professional & Vocational Illustrations 14 Illustrations, color; 52 Illustrations, black and white; XXVI, 776 p. 66 illus., 14 illus. in color. 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