Statistics for Real-Life Sample Surveys (Paperback)

Sergey Dorofeev

ISBN 10: 0521674654 / ISBN 13: 9780521674652

Published by Cambridge University Press, Cambridge, 2006

About this Item

Paperback. 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. Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. This book, for practising researchers, introduces the challenges posed by less-than-perfect samples, giving background knowledge, practical guidance and, above all, realistic and implementable solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780521674652

Bibliographic Details

• Title: Statistics for Real-Life Sample Surveys (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2006
• Language: English
• ISBN 10: 0521674654
• ISBN 13: 9780521674652
• Binding: Paperback
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.

Book Description

Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. This book, for practising researchers, introduces the challenges posed by less-than-perfect samples, giving background knowledge, practical guidance and, above all, realistic and implementable solutions.