ABSTRACT

This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission.

What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields.

The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics.

Distinctive features include:

  • More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available.
  • An emphasis on survey design.
  • Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis.
  • Graphing data from surveys.
  • Computer code using SAS® software.
  • Online supplements containing data sets, computer programs, and additional material.

Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.

chapter 1|24 pages

Introduction

chapter 2|48 pages

Simple Probability Samples

chapter 3|44 pages

Stratified Sampling

chapter 4|48 pages

Ratio and Regression Estimation

chapter 5|54 pages

Cluster Sampling with Equal Probabilities

chapter 6|62 pages

Sampling with Unequal Probabilities

chapter 7|48 pages

Complex Surveys

chapter 8|36 pages

Nonresponse

chapter 9|36 pages

Variance Estimation in Complex Surveys

chapter 10|28 pages

Categorical Data Analysis in Complex Surveys

chapter 11|40 pages

Regression with Complex Survey Data

chapter 12|26 pages

Two-Phase Sampling

chapter 13|16 pages

Estimating Population Size

chapter 14|16 pages

Rare Populations and Small Area Estimation

chapter 15|22 pages

Survey Quality