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


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• 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
ISSNs: 1360-7898 (electronic)
Related URLs:
Subjects: H Social Sciences > HA Statistics
Divisions : University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
ePrint ID: 80188
Accepted Date and Publication Date:
Date Deposited: 24 Mar 2010
Last Modified: 31 Mar 2016 13:16

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