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)
"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 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"Concluding, the Lohr’s book “Sampling:
Design and Analysis, Third Edition” will be again a reference book
in the field of survey sampling as the first two editions. The two
companion books for carrying out surveys and estimates with R and
SAS software fill a gap in the specialist literature. Students,
instructors and anyone wishing to train in survey techniques will
find in this book the necessary methodology, as well as many
examples of sample surveys on real data and how to implement them
using R and SAS software in its two companion books."
-Camelia Goga, in The Survey Statistician, July 2023
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