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The Impact of Typical Survey Weighting Adjustments on the Design Effect: A Case Study
[journal article]
Abstract In survey sampling, the final sample weight assigned to each sampled unit reflects different steps of
weighting adjustments such as frame integration, nonresponse and calibration. The analysis of the
design effects for each of these adjustments casts light on their effects on the precision of surv... view more
In survey sampling, the final sample weight assigned to each sampled unit reflects different steps of
weighting adjustments such as frame integration, nonresponse and calibration. The analysis of the
design effects for each of these adjustments casts light on their effects on the precision of survey
estimates. In this paper, we limit our scope to the Canadian Community Health Survey (CCHS), briefly
describe the weighting process of this survey and examine design effects at different steps of the
weighting process 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. As expected, the
results suggest that the use of unequal person-selection probabilities and the nonresponse adjustment
have the most negative impact on the design effect of the CCHS while calibration and winsorization
decrease the design effect and improve the precision of the estimates.... view less
Keywords
private household; random sample; sample; variability; survey; weighting; social stratification; response behavior; survey research; Canada; data capture
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language
English
Publication Year
2015
Page/Pages
15 p.
Journal
Survey Methods: Insights from the Field (2015)
Issue topic
Weighting: Practical Issues and ‘How to’ Approach
DOI
https://doi.org/10.13094/SMIF-2015-00006
ISSN
2296-4754
Status
Published Version; peer reviewed
Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works