Please use this identifier to cite or link to this item:
|Title:||Investigation of the clustering effect in the Belgian Health Interview Survey||Authors:||RENARD, Didier
Van Oyen, Herman
|Issue Date:||1998||Source:||Archives of Public Health, 56, p. 345-361||Abstract:||This paper investigates the effect of clustering in the first Health Interview Survey (HIS) that took place in Belgium in 1997. In this survey 10,221 individuals were interviewed using a stratified multistage clustered sampling procedure. Clustering arises at two levels in the HIS, within municipalities and within households. Its effect and magnitude on some selected continuous and discrete items are studied from a multilevel modeling perspective. This model-based approach fully acknowledges and takes advantage of the hierarchical structure of the data, and is to be contrasted with the more traditional, design-based approach which views the population structure as a nuisance factor. The effect of weighting in this context is also investigated following Pfeffermann et al.||Document URI:||http://hdl.handle.net/1942/348||Type:||Journal Contribution|
|Appears in Collections:||Research publications|
Show full item record
checked on May 20, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.