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Abstract Details
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Activity Number:
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628
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #301506 |
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Title:
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Using Quality Indicators to Manage Collection and Editing in Business Surveys
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Author(s):
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Lingyun Zhu*+ and Serge Godbout
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Companies:
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Statistics Canada and Statistics Canada
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Address:
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100 Tunney's Pasture Driveway , Ottawa, ON, K1A 0T6 , Canada
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Keywords:
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Quality indicators ;
Survey processing ;
Integrated Business Statistics Program ;
Response representativeness
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Abstract:
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Statistics Canada recently launched the Integrated Business Statistics Program (IBSP) project with the purpose of redesigning and integrating several annual and sub-annual business surveys. The objectives of the IBSP include improving efficiency and timeliness while ensuring high quality outputs. As part of the IBSP, a processing strategy that combines active collection management, editing, imputation, estimation and analysis is currently being defined. This strategy consists of periodically producing estimates and quality indicators based on available data, both reported and imputed. Quality indicators will be used to evaluate the level of quality achieved at different points of the collection process, to identify influential records requiring follow-up or micro-editing, and to serve as criteria to stop collection. In this presentation, the proposed processing strategy will be described
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