Statistics for real-life sample surveys : non-simple-random samples and weighted data / Sergey Dorofeev and Peter Grant.

Format:

Book

Author/Creator:

Dorofeev, Sergey, author.

Grant, Peter, author.

Language:

English

Subjects (All):

Sampling (Statistics).

Physical Description:

1 online resource (ix, 266 pages) : digital, PDF file(s).

Edition:

1st ed.

Place of Publication:

Cambridge : Cambridge University Press, 2006.

Language Note:

English

Summary:

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.

Contents:

1. Sampling methods

2. Weighting

3. Statistical effects of sampling and weighting

4. Significance testing

5. Measuring relationships between variables.

Notes:

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Includes bibliographical references (p. 261-263) and index.

Description based on publisher supplied metadata and other sources.

ISBN:

1-107-16691-8

0-511-22574-1

9786610550609

1-280-55060-0

0-511-22444-3

0-511-22631-4

0-511-54326-3

0-511-31802-2

0-511-22511-3

OCLC:

171139469

Publisher Number:

9780521858038 (hbk.)

9780521674652 (pbk.)