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Analysing complex survey data: clustering, stratification and weights

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
Sturgis, Patrick
b9f6b40c-50d2-4117-805a-577b501d0b3c

Sturgis, Patrick (2004) Analysing complex survey data: clustering, stratification and weights. Social Research Update, 43, Autumn Issue.

Record type: Article

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.

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Published date: 2004

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Local EPrints ID: 80188
URI: https://eprints.soton.ac.uk/id/eprint/80188
PURE UUID: f0e0ce34-35fd-4cbc-89d5-883b578a84f9
ORCID for Patrick Sturgis: ORCID iD orcid.org/0000-0003-1180-3493

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Date deposited: 24 Mar 2010
Last modified: 15 Jan 2019 01:33

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Author: Patrick Sturgis ORCID iD

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