Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges posed by less-than-perfect samples, giving background knowledge and practical guidance for those who have to deal with them. It explains why samples are, and sometimes should be, non-random in the first place; how to assess the degree of non-randomness; when correction by weighting is appropriate and how to apply it; and how the statistical treatment of these samples must be adapted. Extended data examples show the techniques at work. This is a book for practising researchers. It is a reference for the methods and formulae needed to deal with commonly encountered situations and, above all, a source of realistic and implementable solutions.
Cambridge University Press; July 2006
- ISBN 9780511223105
- Read online, or download in secure PDF format
- Title: Statistics for Real-Life Sample Surveys
- Author: Sergey Dorofeev; Peter Grant
Imprint: Cambridge University Press
In The Press
"I think the authors have succeeded in their aims: this book will be valuable for analysts who are not survey sampling professionals or who have not been formally trained in the technical background, but who nevertheless find themselves having to analyze survey data."
D.J. Hand, Imperial College of Science, Technology and Medicine, ISI Short Book Reviews