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

2nd Edition. — Springer, 2018. — 787 p. — (Statistics for Social and Behavioral Sciences). — ISBN: 331993631X.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 throughoutAn Overview of Sample Design and Weighting
Project 1: Design a Single-Stage Personnel Survey
Sample Design and Sample Size for Single-Stage Surveys
Power Calculations and Sample Size Determination
Mathematical Programming
Outcome Rates and Effect on Sample Size
The Personnel Survey Design Project: One Solution
Project 2: Designing an Area Sample
Designing Multistage Samples
Area Sampling
The Area Sample Design: One Solution
Project 3: Weighting a Personnel Survey
Basic Steps in Weighting
Calibration and Other Uses of Auxiliary Data in Weighting
Variance Estimation
Weighting the Personnel Survey: One Solution
Multiphase Designs
Nonprobability Sampling
Process Control and Quality Measures