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)

• 1. Introduction. 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. 8. Nonresponse. 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)

• 1. Introduction. 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. 8. Nonresponse. 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)

• 1. Introduction. 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. 8. Nonresponse. 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.