Statistics for Real-Life Sample Surveys
Non-Simple-Random Samples and Weighted Data

Introduces challenges of less-than-perfect samples, giving background knowledge, practical guidance and realistic and implementable solutions.

Sergey Dorofeev (Author), Peter Grant (Author)

9780521674652, Cambridge University Press

Paperback, published 27 July 2006

276 pages, 10 b/w illus. 20 tables
24.7 x 17.4 x 1.8 cm, 0.562 kg

"... The book is accurate and well written."
M.G.M. Khan, The American Statistician

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.

Preface
1. Sampling methods
2. Weighting
3. Statistical effects
4. Significance testing
5. Measuring relationships
Appendices
Bibliography
Index.

Subject Areas: Probability & statistics [PBT], Social research & statistics [JHBC]