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Practical Tools for Designing and Weighting Survey Samples by Richard Valliant (
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ISBN-13
9783319936314
Type
NA
Publication Name
NA
ISBN
9783319936314
Publication Year
2018
Format
Hardcover
Language
English
Book Title
Practical Tools for Designing and Weighting Survey Samples
Author
Jill A. Dever, Frauke Kreuter, Richard Valliant
Item Length
9.3in
Publisher
Springer International Publishing A&G
Genre
Medical, Mathematics, Social Science
Topic
Biostatistics, Probability & Statistics / General, Statistics
Item Width
6.1in
Item Weight
48.1 Oz
Number of Pages
Xxvi, 776 Pages

Über dieses Produkt

Product Information

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 N rnberg, 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.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
331993631x
ISBN-13
9783319936314
eBay Product ID (ePID)
24038406215

Product Key Features

Book Title
Practical Tools for Designing and Weighting Survey Samples
Author
Jill A. Dever, Frauke Kreuter, Richard Valliant
Format
Hardcover
Language
English
Topic
Biostatistics, Probability & Statistics / General, Statistics
Publication Year
2018
Genre
Medical, Mathematics, Social Science
Number of Pages
Xxvi, 776 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
48.1 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Ha1-4737
Edition Number
2
Reviews
"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)
Table of Content
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.
Copyright Date
2018
Dewey Decimal
001.433
Series
Statistics for Social and Behavioral Sciences Ser.
Dewey Edition
23
Illustrated
Yes

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I am only giving a positive feedback because I did receive the order. The shipping company they used is slow acutely I think the pony express would have been faster. They did respond to questions. But I don’t understand when I ordered two books at the same time and they were shipped separately one arrived almost two weeks ago and I just received the second one today. Don’t think I will be buying anything else from this store.
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Exactly as pictured, thank you