Frames and coverage
Results
All (6)
All (6) ((6 results))
- Articles and reports: 75F0002M2023001Description: This discussion paper describes the work being achieved and undertaken by Statistics Canada, in partnership with the Treasury Board of Canada Secretariat, the Department of Finance Canada and the Privy Council Office, on developing the Quality of Life Framework for Canada and related outputs, including an online Hub. This is the first paper in a series that will provide updates on the progress of work relating to the Framework.Release date: 2023-04-19
- Articles and reports: 11-522-X20040018752Description:
This paper outlines some possible applications of the permanent sample of households ready to respond with respect to surveying difficult-to-reach population groups.
Release date: 2005-10-27 - Articles and reports: 11-522-X20030017596Description:
This paper discusses the measurement problems that affected the Demographic Analysis (DA), a coverage measurement program used for Census 2000.
Release date: 2005-01-26 - 4. Census coverage error: A demographic evaluation ArchivedArticles and reports: 12-001-X20000015177Description:
The 1996 Canadian Census is adjusted for coverage error as estimated primarily through the Reverse Record Check (RRC). In this paper, we will show how there is a wealth of additional information from the 1996 Reverse Record Check of direct value to population estimation. Beyond its ability to estimate coverage error, it is possible to extend the Reverse Record Check classification results to obtain an alternative estimate of demographic growth - potentially decomposed by component. This added feature of the Reverse Record Check provides promise in the evaluation of estimated census coverage error as well as insight as to possible problems in the estimation of selected components in the population estimates program.
Release date: 2000-08-30 - Articles and reports: 91F0015M1998005Geography: CanadaDescription:
All countries that organize censuses have concerns about data quality and coverage error. Different methods have been developed in evaluating the quality of census data and census undercount. Some methods make use of information independent of the census itself, while some others are designed to check the internal consistency of the data. These are expensive and complicated operations.
Given that the population in each country is organized differently and that the administrative structures differ from one country to another, no universal method can be applied. In order to compare the methods and identify their strengths and gaps, Demography Division of Statistics Canada has reviewed the procedures used in four industrialized countries: the United States, the United Kingdom, Australia and, of course, Canada. It appears from this review that demographic analysis can help considerably in the identification of inconsistencies through comparisons of consecutive censuses, while micro-level record linkage and survey based procedures are essential in order to estimate the number of people omitted or counted twice in census collection. The most important conclusion from this review is that demographers and statisticians have to work together in order to evaluate the figures the accuracy of which will always remain questionable.
Release date: 1998-03-27 - 6. Between-state heterogeneity of undercount rates and surrogate variables in the 1990 U.S. census ArchivedArticles and reports: 12-001-X199500114410Description:
As part of the decision on adjustment of the 1990 Decennial Census, the U.S. Census Bureau investigated possible heterogeneity of undercount rates between parts of different states falling in the same adjustment cell or poststratum. Five “surrogate variables” believed to be associated with undercount were analyzed using a large extract from the census and significant heterogeneity was found. Analysis of Post Enumeration Survey on undercount rates showed that more variance was explained by poststratification variables than by state, supporting the decision to use the poststratum as the adjustment cell. Significant interstate heterogeneity was found in 19 out of 99 poststratum groups (mainly in nonurban areas), but there was little if any evidence that the poststratified estimator was biased against particular states after aggregating across poststrata. Nonetheless, this issue should be addressed in future coverage evaluation studies.
Release date: 1995-06-15
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (6)
Analysis (6) ((6 results))
- Articles and reports: 75F0002M2023001Description: This discussion paper describes the work being achieved and undertaken by Statistics Canada, in partnership with the Treasury Board of Canada Secretariat, the Department of Finance Canada and the Privy Council Office, on developing the Quality of Life Framework for Canada and related outputs, including an online Hub. This is the first paper in a series that will provide updates on the progress of work relating to the Framework.Release date: 2023-04-19
- Articles and reports: 11-522-X20040018752Description:
This paper outlines some possible applications of the permanent sample of households ready to respond with respect to surveying difficult-to-reach population groups.
Release date: 2005-10-27 - Articles and reports: 11-522-X20030017596Description:
This paper discusses the measurement problems that affected the Demographic Analysis (DA), a coverage measurement program used for Census 2000.
Release date: 2005-01-26 - 4. Census coverage error: A demographic evaluation ArchivedArticles and reports: 12-001-X20000015177Description:
The 1996 Canadian Census is adjusted for coverage error as estimated primarily through the Reverse Record Check (RRC). In this paper, we will show how there is a wealth of additional information from the 1996 Reverse Record Check of direct value to population estimation. Beyond its ability to estimate coverage error, it is possible to extend the Reverse Record Check classification results to obtain an alternative estimate of demographic growth - potentially decomposed by component. This added feature of the Reverse Record Check provides promise in the evaluation of estimated census coverage error as well as insight as to possible problems in the estimation of selected components in the population estimates program.
Release date: 2000-08-30 - Articles and reports: 91F0015M1998005Geography: CanadaDescription:
All countries that organize censuses have concerns about data quality and coverage error. Different methods have been developed in evaluating the quality of census data and census undercount. Some methods make use of information independent of the census itself, while some others are designed to check the internal consistency of the data. These are expensive and complicated operations.
Given that the population in each country is organized differently and that the administrative structures differ from one country to another, no universal method can be applied. In order to compare the methods and identify their strengths and gaps, Demography Division of Statistics Canada has reviewed the procedures used in four industrialized countries: the United States, the United Kingdom, Australia and, of course, Canada. It appears from this review that demographic analysis can help considerably in the identification of inconsistencies through comparisons of consecutive censuses, while micro-level record linkage and survey based procedures are essential in order to estimate the number of people omitted or counted twice in census collection. The most important conclusion from this review is that demographers and statisticians have to work together in order to evaluate the figures the accuracy of which will always remain questionable.
Release date: 1998-03-27 - 6. Between-state heterogeneity of undercount rates and surrogate variables in the 1990 U.S. census ArchivedArticles and reports: 12-001-X199500114410Description:
As part of the decision on adjustment of the 1990 Decennial Census, the U.S. Census Bureau investigated possible heterogeneity of undercount rates between parts of different states falling in the same adjustment cell or poststratum. Five “surrogate variables” believed to be associated with undercount were analyzed using a large extract from the census and significant heterogeneity was found. Analysis of Post Enumeration Survey on undercount rates showed that more variance was explained by poststratification variables than by state, supporting the decision to use the poststratum as the adjustment cell. Significant interstate heterogeneity was found in 19 out of 99 poststratum groups (mainly in nonurban areas), but there was little if any evidence that the poststratified estimator was biased against particular states after aggregating across poststrata. Nonetheless, this issue should be addressed in future coverage evaluation studies.
Release date: 1995-06-15
Reference (0)
Reference (0) (0 results)
No content available at this time.
- Date modified: