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  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Practical Tools for Designing and Weighting Survey Samples
  name:
    name part: Valliant, Richard.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Dever, Jill A.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Kreuter, Frauke.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 2nd ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVI, 776 p. 66 illus., 14 illus. in color. online resource.
  abstract: 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 memb…
  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.
  note: by Richard Valliant, Jill A. Dever, Frauke Kreuter.
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Social Sciences, Humanities, Law
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Statistical Theory and Methods
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Statistics for Social and Behavioral Sciences
  identifier: 9783319936321
  identifier: https://doi.org/10.1007/978-3-319-93632-1
  record info:
    record creation date: 181012
    record change date: 20191027071637.0
    record identifier: 978-3-319-93632-1