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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, Autumn (43). 1 - 4. ISSN 1360-7898

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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.

Item Type: Article
Additional Information: © 2004 University of Surrey
Divisions: Methodology
Subjects: H Social Sciences > HA Statistics
Q Science > Q Science (General)
Date Deposited: 09 Oct 2019 23:10
Last Modified: 09 Oct 2019 23:10
URI: http://eprints.lse.ac.uk/id/eprint/102013

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