Analysing complex survey data: clustering, stratification and weights
Analysing complex survey data: clustering, stratification and weights
• Survey analysts routinely ignore complex design factors such as clustering, stratification and weighting.
• This results in biased estimates of standard errors and increased likelihood of Type I errors.
• A substantive example is used to illustrate the problem and appropriate software applications are briefly reviewed.
Sturgis, Patrick
b9f6b40c-50d2-4117-805a-577b501d0b3c
2004
Sturgis, Patrick
b9f6b40c-50d2-4117-805a-577b501d0b3c
Sturgis, Patrick
(2004)
Analysing complex survey data: clustering, stratification and weights.
Social Research Update, 43, Autumn Issue.
Abstract
• Survey analysts routinely ignore complex design factors such as clustering, stratification and weighting.
• This results in biased estimates of standard errors and increased likelihood of Type I errors.
• A substantive example is used to illustrate the problem and appropriate software applications are briefly reviewed.
Text
fulltext.pdf
- Version of Record
More information
Published date: 2004
Identifiers
Local EPrints ID: 80188
URI: http://eprints.soton.ac.uk/id/eprint/80188
PURE UUID: f0e0ce34-35fd-4cbc-89d5-883b578a84f9
Catalogue record
Date deposited: 24 Mar 2010
Last modified: 14 Mar 2024 00:35
Export record
Contributors
Author:
Patrick Sturgis
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics