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Approximations to b* in the prediction of design effects due to clustering

Lynn, PJ and Gabler, S (2005) 'Approximations to b* in the prediction of design effects due to clustering.' Survey Methodology, 31 (1). 101 - 104. ISSN 0714-0045

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Abstract

Kish’s well-known expression for the design effect due to clustering is often used to inform sample design, using an approximation such as b in place of b. If the design involves either weighting or variation in cluster sample sizes, this can be a poor approximation. In this article we discuss the sensitivity of the approximation to departures from the implicit assumptions and propose an alternative approximation.

Item Type: Article
Uncontrolled Keywords: Complex sample design, Intracluster correlation coefficient, Selection probabilities, Weighting
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculty of Social Sciences > Institute for Social and Economic Research
Depositing User: Jim Jamieson
Date Deposited: 25 Sep 2013 10:38
Last Modified: 17 Aug 2017 17:56
URI: http://repository.essex.ac.uk/id/eprint/7869

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