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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). pp. 101-104. ISSN 0714-0045


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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
Faculty of Social Sciences > Institute for Social and Economic Research
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 25 Sep 2013 10:38
Last Modified: 15 Jan 2022 00:50

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