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Practical Tools for Designing and Weighting Survey Samples

  • Richard Valliant
  • Jill A. Dever
  • Frauke Kreuter

Part of the Statistics for Social and Behavioral Sciences book series (SSBS, volume 51)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Richard Valliant, Jill A. Dever, Frauke Kreuter
    Pages 1-11
  3. Designing Single-stage Sample Surveys

    1. Front Matter
      Pages 13-13
    2. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 15-23
    3. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 25-89
    4. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 91-128
    5. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 129-161
    6. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 163-183
    7. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 185-195
  4. Multistage Designs

    1. Front Matter
      Pages 197-197
    2. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 199-201
    3. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 203-255
    4. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 257-292
    5. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 293-300
  5. Survey Weights and Analyses

    1. Front Matter
      Pages 301-301
    2. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 303-306
    3. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 307-348
    4. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 349-395
    5. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 397-452
    6. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 453-476
  6. Other Topics

    1. Front Matter
      Pages 477-477
    2. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 479-529
    3. Richard Valliant, Jill A. Dever, Frauke Kreuter
      Pages 531-554
  7. Back Matter
    Pages 555-670

About this book

Introduction

Survey sampling is fundamentally an applied field.  The goal in this book is to put an array of tools at the fingertips of practitioners 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 book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples.

Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.

Richard Valliant is a Research Professor at the Institute for Social Research of 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 is a Senior Research Statistician at RTI International in Washington, D.C. where she works on a variety of surveys related to health care and education.  Her current research interests include software for optimizing complex sample designs, variance estimation using calibrated analysis weights, and methods to evaluate the utility of non-probability sampling.

Frauke Kreuter is an Associate Professor in the Joint Program in Survey Methodology at the University of Maryland, USA; Professor of Statistics at Ludwig-Maximilians-Universität in Munich, Germany; and head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany. Currently she is associate editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, and the Stata Journal.

Keywords

Area Samples Sample Design Samples Survey Survey Sampling Weighting

Authors and affiliations

  • Richard Valliant
    • 1
  • Jill A. Dever
    • 2
  • Frauke Kreuter
    • 3
  1. 1.University of MichiganAnn ArborUSA
  2. 2.RTI InternationalWashingtonUSA
  3. 3.University of MarylandCollege ParkUSA

Bibliographic information