Sturgis, Patrick 
ORCID: 0000-0003-1180-3493
(2004)
Analysing complex survey data: clustering, stratification and weights.
Social Research Update, Autumn (43).
1 - 4.
ISSN 1360-7898
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: | 12 Dec 2024 01:55 |
| URI: | http://eprints.lse.ac.uk/id/eprint/102013 |
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