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Complex Surveys: A Guide to Analysis Using R, by Thomas Lumley
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A complete guide to carrying out complex survey analysis using R
As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields.
The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems.
Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.
- Sales Rank: #1044726 in Books
- Brand: Brand: Wiley
- Published on: 2010-03-01
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x .68" w x 6.10" l, .95 pounds
- Binding: Paperback
- 296 pages
- Used Book in Good Condition
Most helpful customer reviews
4 of 4 people found the following review helpful.
Reproducibility is the major drawback of this book.
By Liaosa
This is a good book for practical user who want to use R to do survey analysis. It's brief and not difficult to understand if the user have some background from Lohr (1999)' s Sampling: Design and Analysis. However the major drawback of this text is its reproducibility. The author did have a website for this text, but no any R codes in the text are provided. Even the data sets provided on the website are not complete. To reproduce the outputs of R, you have to either type R code by yourself or copy from e-book. Even the codes in the text are not complete and many cannot be run directly. I have gone through four chapters and have to spend much time doing reverse engineering to get the same results shown in the text. Still many I couldn't reproduce. This book is supposed to be a practical guide to the user, but I have to say this book is more like a semi-finished product.
4 of 4 people found the following review helpful.
Non-technical approach to Survey Data Management
By Taylan
I am actually a bit disappointed with this book. It briefly covers the concepts of the survey data management and gives a good, succinct introduction to R however it fails to explain the logic and statistical introduction to its associated R code. I was expecting in depth explanation for the statistical procedures where there is an example R code. The book failed to fulfil my hunger for that aspect. Nonetheless it will be an important part of my library as the number of books in the field that provides R examples are very limited.
3 of 3 people found the following review helpful.
It's a book for R's Survey package users
By Ricardo Moraes
It's a book for R's Survey package users: for analizing complex surveys on R software.
I missed the formulas. I like to know how a specific variance is calculated and I was expecting to find out - for example - the variance formula used for calibrated totals on Survey's "calibrate" command. The next edition could have an appendix on this subject...
But the package is really great and it is good to have a book on how to use it.
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