Statistics for Real-Life Sample Surveys

Non-Simple-Random Samples and Weighted Data

Sergey Dorofeev

300 pages, parution le 31/07/2006

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Résumé

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.

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

Sommaire

Sampling methods
Weighting
Statistical effects
Significance testing
Measuring relationships
Appendices

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	Sergey Dorofeev
Parution	31/07/2006
Nb. de pages	300
Format	17 x 24,5
Couverture	Broché
Poids	560g
Intérieur	Noir et Blanc
EAN13	9780521674652
ISBN13	978-0-521-67465-2