Evaluating the design effect at different steps of the weighting process in the Canadian Community Health Survey / Golshid Chatrchi ... [et al.].: CS11-619/2012-6E-PDF

"The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects general health information on the Canadian population at the Health Region (HR) level. The survey will be redesigned in 2015. One component of the redesign is the improvement of the efficiency of the sample design. The CCHS uses a complex survey design which includes multiple frames and multiple stages of selection within each of those frames. Weights resulting from the design are adjusted through several steps such as frame integration, nonresponse and calibration. The combination of these complexities leads to the production of estimates with relatively high variances when compared to what would be obtained through a simple random sample. Design effects are examined in this paper to quantify how the overall variability in estimates can be attributed to the complex survey design and to each of the individual adjustments in the weighting process. The findings will help guide possible modifications for the upcoming redesign"--Abstract.

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http://publications.gc.ca/pub?id=9.841879&sl=0

Publication information
Department/Agency Canada. Statistics Canada. Methodology Branch.
Title Evaluating the design effect at different steps of the weighting process in the Canadian Community Health Survey / Golshid Chatrchi ... [et al.].
Series title Working paper ; 2012-6
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document

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Note(s) Digitized edition from print [produced by Statistics Canada].
"HSMD-2012-006E."
"October 2012."
Includes bibliographic references.
Abstract also in French.
Publishing information [Ottawa] : Statistics Canada, 2012.
Author / Contributor Chatrchi, Golshid.
Description [31] p.
Catalogue number
  • CS11-619/2012-6E-PDF
Departmental catalogue number 11-619E no. 2012-006
Subject terms Methodology, Statistical analysis, Surveys

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