What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis, third edition shows 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 the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics.
The third edition, thoroughly revised to incorporate recent research and applications, includes a new chapter on nonprobability samples – when to use them and how to evaluate their quality. More than 200 new examples and exercises have been added to the already extensive sets in the second edition.
SDA's companion website contains data sets, computer code, and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides – with code, annotated output, and helpful tips – for working through the SDA examples. Instructors can use either R or SAS® software.
2. Simple Probability Samples
3. Stratified Sampling
4. Ratio and Regression Estimation
5. Cluster Sampling with Equal Probabilities
6. Sampling with Unequal Probabilities
7. Complex Surveys
9. Variance Estimation in Complex Surveys
10. Categorical Data Analysis in Complex Surveys
11. Regression in Complex Surveys
12. Two-Phase Sampling
13. Estimating the Size of a Population
14. Rare Populations and Small Area Estimation
15. Nonprobability Samples
16. Survey Quality
Sharon L. 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 is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute, and has received the Gertrude M. Cox, Morris Hansen, and Deming Awards. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a statistical consultant and writer.
"In summary, the revisions of SDA hold value for practitioners, educators, and students. The level is appropriate for an upper-level undergraduate or graduate-level statistics major. SDA will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years. I have personally used past editions of SDA as a resource in my research and work. I am therefore comfortable recommending that students purchase the SDA. I expect that many of them will find SDA to be a useful reference, even beyond their coursework [...] The revision of SDA is not tied to a specific software language. The updated online supplements allow one to easily use SDA in conjunction with either SAS or R. I would eagerly adopt the new edition of SDA as the required textbook."
– Emily Berg, Iowa State University
"I believe that this book now shines above the competing texts. The examples and problems are updated and more relatable to today's student. I believe that the practice analyzing real data will give students a competitive edge on today's job market. Once this is published, I will absolutely adopt this textbook in my course. (Truly, I have been dying for an updated book for Sampling Theory!)"
– Samantha Seals, University of West Florida
"I love Lohr's text on this subject. This book should be adopted as many of the new additions I have reviewed here, including Chapter 15 on nonprobability samples, really elevate it and allow it to retain its relevance amid many changes and advances in our field."
– Trent D. Buskirk, Bowling Green State University
"I think this is by far the best book on survey sampling at the undergraduate level. It is the perfect balance between theoretical and practical. It has an excellent set of exercises, and great suggested additional readings. I use it in my courses and recommend it to everyone [...] Excellent idea to expand discussion of nonprobability samples. That is very practically relevant."
– Elaine Zanutto, University of Pennsylvania
"This is an excellent book, built on the extensive knowledge of Sampling Design and Analysis gained by the author over many decades. I will limit my review on this third edition as I had no access to the previous editions. At the end of each chapter, there are many mastery exercises and projects to consolidate learning. [...] The author must be commended for preparing a comprehensive bibliography on survey sampling. In conclusion, the book would be a good text for graduate study, Survey research statisticians, or as a reference for those with a sound understanding of basic mathematical statistics."
– June Elijah Simakani in the Journal of the Royal Statistical Society, 2022
"A generation of students have been trained on the two previous editions of this sampling text, and the third edition will ensure that this continues. This book is remarkable for its utility for both learners and practitioners, much as Cochran's classic text (1977) was for decades. For teaching, I have been using the text only for a one-semester upper-level graduate course for statistics students. It provides sufficient technical detail, challenging exercises, and up-to-date references to prepare students to conduct research in the field. [...] Sampling practice has undergone profound changes since publication of the second edition of this text in 2009. This edition reflects those changes beautifully. A new chapter on nonprobability sampling provides an overview of the technical details for the newest methods of adjustment. [...] In short, this book is a classic. The new edition makes modernizing your sampling course easy and painless. It is also an excellent reference for practitioners and a guide to the latest literature in sampling methodology."
– S. Lynne Stokes in Journal of the American Statistical Association, October 2022