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Analysing complex survey data: clustering, stratification and weights

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

Identifiers

Local EPrints ID: 80188
URI: http://eprints.soton.ac.uk/id/eprint/80188
PURE UUID: f0e0ce34-35fd-4cbc-89d5-883b578a84f9

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Date deposited: 24 Mar 2010
Last modified: 18 Jul 2017 23:14

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