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- Articles and reports: 12-001-X198800214585Description:
The methods used to control the quality of Statistics Canada’s survey processing operations generally involve acceptance sampling by attributes with rectifying inspection, contained within the broader framework of Acceptance Control. Although these methods are recognized as good corrective procedures, they do little in themselves to prevent errors from recurring. As this is of the utmost importance in any quality program, the Quality Control Processing System (QCPS) has been designed with error prevention as one of its primary focuses. Accordingly, the system produces feedback reports and graphs for operators, supervisors and managers involved in the various operations. The system also produces information concerning changes in the inspection environments which enable methodologists to adjust inspection plans/procedures in accordance with the strategy of Acceptance Control. This paper highlights the main tabulation and estimation features of the QCPS and the manner in which it serves to support the principal quality control programs at Statistics Canada. Major capabilities from a methodological and systems perspective are discussed.
Release date: 1988-12-15 - Articles and reports: 12-001-X198800214589Description:
The U.S. Bureau of the Census uses dual system estimates (DSEs) for measuring census coverage error. The dual system estimate uses data from the original enumeration and a Post Enumeration Survey. In measuring the accuracy of the DSE, it is important to know that the DSE is subject to several components of nonsampling error, as well as sampling error. This paper gives models of the total error and the components of error in the dual system estimates. The models relate observed indicators of data quality, such as a matching error rate, to the first two moments of the components of error. The propagation of error in the DSE is studied and its bias and variance are assessed. The methodology is applied to the 1986 Census of Central Los Angeles County in the Census Bureau’s Test of Adjustment Related Operations. The methodology also will be useful to assess error in the DSE for the 1990 census as well as other applications.
Release date: 1988-12-15
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Articles and reports (2)
Articles and reports (2) ((2 results))
- Articles and reports: 12-001-X198800214585Description:
The methods used to control the quality of Statistics Canada’s survey processing operations generally involve acceptance sampling by attributes with rectifying inspection, contained within the broader framework of Acceptance Control. Although these methods are recognized as good corrective procedures, they do little in themselves to prevent errors from recurring. As this is of the utmost importance in any quality program, the Quality Control Processing System (QCPS) has been designed with error prevention as one of its primary focuses. Accordingly, the system produces feedback reports and graphs for operators, supervisors and managers involved in the various operations. The system also produces information concerning changes in the inspection environments which enable methodologists to adjust inspection plans/procedures in accordance with the strategy of Acceptance Control. This paper highlights the main tabulation and estimation features of the QCPS and the manner in which it serves to support the principal quality control programs at Statistics Canada. Major capabilities from a methodological and systems perspective are discussed.
Release date: 1988-12-15 - Articles and reports: 12-001-X198800214589Description:
The U.S. Bureau of the Census uses dual system estimates (DSEs) for measuring census coverage error. The dual system estimate uses data from the original enumeration and a Post Enumeration Survey. In measuring the accuracy of the DSE, it is important to know that the DSE is subject to several components of nonsampling error, as well as sampling error. This paper gives models of the total error and the components of error in the dual system estimates. The models relate observed indicators of data quality, such as a matching error rate, to the first two moments of the components of error. The propagation of error in the DSE is studied and its bias and variance are assessed. The methodology is applied to the 1986 Census of Central Los Angeles County in the Census Bureau’s Test of Adjustment Related Operations. The methodology also will be useful to assess error in the DSE for the 1990 census as well as other applications.
Release date: 1988-12-15
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