Sampling of Populations: Methods and Applications / Edition 4

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"Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methods for survey design and analysis, while also exploring techniques that have developed over the past decade." The Fourth Edition guides the reader through the basic concepts and procedures that accompany real-world sample surveys, such as sampling designs, problems of missing data, statistical analysis of multistage sampling data, and nonresponse and poststratification adjustment procedures. Rather than employ a heavily mathematical approach, the authors present illustrative examples that demonstrate the rationale behind common steps in the sampling process, from creating effective surveys to analyzing collected data.
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Editorial Reviews

From the Publisher
“The book remains a very appropriately written text for classroom use, especially for students studying public health or epidemiology, or for undergraduate majors in statistics and related fields.” (Biometrics, June 2009)
Doody's Review Service
Reviewer: Leon F Burmeister, PhD (University of Iowa College of Public Health)
Description: This book is designed for a one-semester course, primarily for students in public health and applied statistics. The third edition was published in 1999.
Purpose: The book clearly addresses a basic need in academic and applied research.
Audience: In addition to the students who would benefit from this book, professionals working in areas that require samples of human populations would also find the concepts and examples helpful.
Features: The book develops the basic sampling designs used in estimation of population characteristics. It is effective because of the many examples and exercises, the organization that collects and summarizes important formulas in several boxes in nearly all of the chapters, and the illustration of computer packages (SAS and STATA) throughout. Adding chapters on telephone surveys and sample weight construction would make the book much more useful. The suggested answers to odd-numbered exercises are expanded and will be very helpful to students and practitioners.
Assessment: Although the fourth edition improves several aspects, there are concerns. Few chapters have new exercises. More importantly, few new references have been added. For some very specialized techniques, such as network sampling, lack of references describing recent applications is a limitation in both the classroom and the field. In spite of these limitations, the book compares favorably to similar textbooks because of its inclusion of an adequate number of realistic exercises and its many illustrations of computer applications. Although the small number of new exercises and references is disappointing, the fourth edition does increase the utility of the book.
With a minimum of mathematical formality and technical jargon, provides a practical explanation of the basic concepts and procedures of sample design for professionals in statistics and surveys. Discusses such topics as systematic sampling and probability proportionate to size sampling, illustrating the logic involved through examples instead of mathematical proofs. Thoroughly expanded and revised from the 1980 Sampling for health professionals. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9780470040072
  • Publisher: Wiley
  • Publication date: 8/4/2008
  • Series: Wiley Series in Survey Methodology Series, #543
  • Edition description: New Edition
  • Edition number: 4
  • Pages: 616
  • Product dimensions: 5.90 (w) x 9.30 (h) x 1.30 (d)

Meet the Author

Paul S. Levy is Senior Research Fellow at RTI International and Professor Emeritus of Epidemiology and Biostatistics in the School of Public Health at the University of Illinois. A Fellow of both the American Statistical Association and the American College of Epidemiology, Dr. Levy has authored or coauthored over 225 articles in his areas of research interest, which include sample survey methodology, design of epidemiological studies, and methodology relevant to analysis of data from observational studies.

Stanley Lemeshow, PhD, is Professor of Biostatistics and Dean of the College of Public Health at The Ohio State University. He has over thirty-five years of academic experience in the areas of regression, categorical data methods, and sampling methods. A Fellow of the American Statistical Association, Dr. Lemeshow is the coauthor of Applied Survival Analysis, Second Edition and Applied Logistic Regression, Second Edition, both published by Wiley.

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Table of Contents




Getting Files from the Wiley ftp and Internet Sites

List of Data Sites Provided on Web Site

Pt. 1 Basic Concepts 1

1 Uses of Sample Surveys 3

2 The Population and the Sample 11

Pt. 2 Major Sampling Designs and Estimation Procedures 43

3 Simple Random Sampling 45

4 Systematic Sampling 83

5 Stratification and Stratified Random Sampling 121

6 Stratified Random Sampling: Further Issues 143

7 Ratio Estimation 189

8 Cluster Sampling: Introduction and Overview 223

9 Simple One-Stage Cluster Sampling 231

10 Two-Stage Cluster Sampling: Clusters Sampled with Equal Probability 269

11 Cluster Sampling in Which Clusters Are Sampled with Unequal Probability: Probability Proportional to Size Sampling 331

12 Variance Estimation in Complex Sample Surveys 367

Pt. 3 Selected Topics in Sample Survey Methodology 395

13 Nonresponse and Missing Data in Sample Surveys 397

14 Selected Topics in Sample Design and Estimation Methodology 427

15 Telephone Survey Sampling Michael W. Link Link, Michael W. Mansour Fahimi Fahimi, Mansour 455

16 Constructing the Survey Weights Paul P. Biemer Biemer, Paul P. Sharon L. Christ Christ, Sharon L. 489

17 Strategies for Design-Based Analysis of Sample Survey Data 517

Appendix 537

Answers to Selected Exercises 543

Index 571

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