Recently Viewed

New

Applied Survey Data Analysis Steven G. Heeringa 9781498761604

No reviews yet Write a Review
RRP: £84.99
Booksplease Price: £78.97
Booksplease saves you

  Bookmarks: Included free with every order
  Delivery: We ship to over 200 countries from the UK
  Range: Millions of books available
  Reviews: Booksplease rated "Excellent" on Trustpilot

  FREE UK DELIVERY: When You Buy 3 or More Books - Use code: FREEUKDELIVERY in your cart!

SKU:
9781498761604
MPN:
9781498761604
Available from Booksplease!
Availability: Usually dispatched within 5 working days

Frequently Bought Together:

Total: Inc. VAT
Total: Ex. VAT

Description

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software.

Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book's updated website.



About the Author

Steve G. Heeringa is a research scientist in the Survey Methodology Program, the director of the Statistical and Research Design Group in the Survey Research Center, and the director of the Summer Institute in Survey Research Techniques at the University of Michigan's Institute for Social Research.

Brady T. West is a Research Associate Professor in the Survey Research Center at the University of Michigan's Institute for Social Research. He is also a statistical consultant on the Consulting for Statistics, Computing, and Analytics Research (CSCAR) team at the University of Michigan.

Patricia A. Berglund is a senior research associate in the Youth and Social Indicators Program and Survey Methodology Program in the Survey Research Center at the University of Michigan's Institute for Social Research.



Reviews

"Anyone analyzing survey data, even once, should have a copy of this book. The book has something for everyone. It is a solid, yet accessible introduction to analyzing data from complex sample surveys (i.e., those with stratification and clustering), a statistical text of the highest caliber, and a reference for experienced analysts and statisticians. The authors are masterful instructors on the topic, and leaders in the field of survey methodology at the University of Michigan's world-renowned Institute for Social Research and Survey Research Center. Their profound understanding of the topic, and talent for describing it shines through vividly in the text. One of my favorite parts remains section 1.2 "A Brief History of Applied Survey Data Analysis", which is split into "Key Theoretical Developments" and "Key Software Developments". The historical context provided in those sections helps motivate the technical material that follows. My other favorite parts of this book are the presentations of analysis code and output from various programs, and their "Theory Boxes", which tie specific analysis steps and code to the statistical theory behind them. Among the numerous updates to this edition, I think readers will find the new content on model diagnostics and testing goodness-of-fit (GOF) to be extremely helpful, as this is an area of complex sample survey analysis that can be difficult to translate from standard regression analysis. Throughout, the authors make it a point to describe analyses in discrete steps that can help direct even the most complex analyses."
-Matt Jans, Senior Associate/Scientist, Abt Associates

"This is an excellent book to use for a graduate level applied statistics course teaching public health students how to analyze complex survey data. Each chapter is clearly written with a nice balance of theoretical background and practical guidance on survey data analytical issues as illustrated by many relevant real-data examples.





Book Information
ISBN 9781498761604
Author Steven G. Heeringa
Format Hardback
Page Count 568
Imprint Chapman & Hall/CRC
Publisher Taylor & Francis Inc
Weight(grams) 975g

Reviews

No reviews yet Write a Review

Booksplease  Reviews


J - United Kingdom

Fast and efficient way to choose and receive books

This is my second experience using Booksplease. Both orders dealt with very quickly and despatched. Now waiting for my next read to drop through the letterbox.

J - United Kingdom

T - United States

Will definitely use again!

Great experience and I have zero concerns. They communicated through the shipping process and if there was any hiccups in it, they let me know. Books arrived in perfect condition as well as being fairly priced. 10/10 recommend. I will definitely shop here again!

T - United States

R - Spain

The shipping was just superior

The shipping was just superior; not even one of the books was in contact with the shipping box -anywhere-, not even a corner or the bottom, so all the books arrived in perfect condition. The international shipping took around 2 weeks, so pretty great too.

R - Spain

J - United Kingdom

Found a hard to get book…

Finding a hard to get book on Booksplease and with it not being an over inflated price was great. Ordering was really easy with updates on despatch. The book was packaged well and in great condition. I will certainly use them again.

J - United Kingdom