Collecting, managing, and assessing data using sample surveys /

Collecting, managing, and assessing data using sample surveys /

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Bibliographic Details
Author / Creator:	Stopher, Peter R.
Imprint:	Cambridge, UK : Cambridge University Press, 2012.
Description:	xxvi, 534 p. : ill. ; 26 cm.
Language:	English
Subject:	Surveys -- Design. Surveys -- Methodology. Sampling (Statistics) Sampling (Statistics) Surveys -- Methodology.
Format:	Print Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8688229

Hidden Bibliographic Details
ISBN:	9780521863117 (hbk.) 9780521681872 0521681871 0521863112
Notes:	Includes bibliographical references (p. 511-524) and index.
Summary:	"Collecting, Managing, and Assessing Data Using Sample Surveys provides a thorough, step-by-step guide to the design and implementation of surveys. Beginning with a primer on basic statistics, the first half of the book takes readers on a comprehensive tour through the basics of survey design. Topics covered include the ethics of surveys, the design of survey procedures, the design of the survey instrument, how to write questions and how to draw representative samples. Having shown readers how to design surveys, the second half of the book discusses a number of issues surrounding their implementation, including repetitive surveys, the economics of surveys, web-based surveys, coding and data entry, data expansion and weighting, the issue of non-response, and the documenting and archiving of survey data. The book is an excellent introduction to the use of surveys for graduate students as well as a useful reference work for scholars and professionals."--Publisher's website.

Table of Contents:

Introduction
Basic statistics and probability
Basic issues in surveys
Ethics of surveys of human populations
Design a survey
Methods for conducting surveys of human populations
Focus groups
Design of survey instruments
Design of questions and question wording
Special issues for qualitative and preference surveys
Design of data collection procedures
Pilot surveys and pretests
Sample design and sampling
Repetitive surveys
Survey economics
Survey implementation
Web-based surveys
Coding and data entry
Data expansion and weighting
Nonresponse
Measuring data quality
Future directions in survey procedures
Documenting and archiving.