Sharon L. Lohr

Sampling (eBook, ePUB)

Design and Analysis

• Format: ePub

Produktbeschreibung

"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (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 would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University)

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.

Key Features:

• Has been thoroughly revised to incorporate recent research and applications.
• Includes a new chapter on nonprobability samples, and more than 200 new examples and exercises have been added.
• Teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology.

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.

• SAS® Software Companion for Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (2022, CRC Press)
• R Companion for Sampling: Design and Analysis, Third Edition by Yan Lu and Sharon L. Lohr (2022, CRC Press)

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 674
• Erscheinungstermin: 29. November 2021
• Englisch
• ISBN-13: 9781000478266
• Artikelnr.: 62706793

Autorenporträt

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.

Inhaltsangabe

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.

Rezensionen

"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)