Statistics for Real-Life Sample Surveys
Non-Simple-Random Samples and Weighted Data
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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.Read more
- The only practical book to explain the uses, techniques and consequences of weighting survey data
- Bridges the gap between the ideal survey samples assumed at university and the more complex, less perfect survey samples encountered in real life
- Written by two practising market researchers who together have over 40 years of experience commissioning and supplying survey research
Reviews & endorsements
"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 ReviewsSee more reviews
"[The authors'] techniques provide practical, realistic and implementable solutions for many real situations where traditional frames or sampling designs are not available.... I believe that the book will interest private and official survey agencies and theoretical and applied statisticians, as well as teachers and students of statistics."
Mariano Ruiz Espejo, Universidad Nacional de Educacion a Distancia, Madrid
"... The book is accurate and well written."
M.G.M. Khan, The American Statistician
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- Date Published: August 2006
- format: Adobe eBook Reader
- isbn: 9780511223105
- contains: 10 b/w illus. 20 tables
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
1. Sampling methods
3. Statistical effects
4. Significance testing
5. Measuring relationships
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