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- Surveys and statistical programs – Documentation: 11-633-X2026002Description: Recent changes in Canada’s immigration levels have heightened interest in understanding how immigration affects housing demand. This article develops a methodological framework for projecting housing use associated with permanent residents (PRs) and non-permanent residents (NPRs) under alternative immigration scenarios. The framework applies observed per capita housing use rates from the Census of Population to estimate incremental housing use by tenure over time.Release date: 2026-04-24
- Journals and periodicals: 11-522-XDescription: Since 1984, an annual international symposium on methodological issues has been sponsored by Statistics Canada. Proceedings have been available since 1987.Release date: 2025-09-08
- Articles and reports: 12-001-X201100211608Description:
Designs and estimators for the single frame surveys currently used by U.S. government agencies were developed in response to practical problems. Federal household surveys now face challenges of decreasing response rates and frame coverage, higher data collection costs, and increasing demand for small area statistics. Multiple frame surveys, in which independent samples are drawn from separate frames, can be used to help meet some of these challenges. Examples include combining a list frame with an area frame or using two frames to sample landline telephone households and cellular telephone households. We review point estimators and weight adjustments that can be used to analyze multiple frame surveys with standard survey software, and summarize construction of replicate weights for variance estimation. Because of their increased complexity, multiple frame surveys face some challenges not found in single frame surveys. We investigate misclassification bias in multiple frame surveys, and propose a method for correcting for this bias when misclassification probabilities are known. Finally, we discuss research that is needed on nonsampling errors with multiple frame surveys.
Release date: 2011-12-21 - 4. Evaluation of the coverage of linked Canadian Community Health Survey and hospital inpatient records ArchivedArticles and reports: 11-522-X200800010972Description:
Background: Evaluation of the coverage that results from linking routinely collected administrative hospital data with survey data is an important preliminary step to undertaking analyses based on the linked file. Data and methods: To evaluate the coverage of the linkage between data from cycle 1.1 of the Canadian Community Health Survey (CCHS) and in-patient hospital data (Health Person-Oriented Information or HPOI), the number of people admitted to hospital according to HPOI was compared with the weighted estimate for CCHS respondents who were successfully linked to HPOI. Differences between HPOI and the linked and weighted CCHS estimate indicated linkage failure and/or undercoverage. Results: According to HPOI, from September 2000 through November 2001, 1,572,343 people (outside Quebec) aged 12 or older were hospitalized. Weighted estimates from the linked CCHS, adjusted for agreement to link and plausible health number, were 7.7% lower. Coverage rates were similar for males and females. Provincial rates did not differ from those for the rest of Canada, although differences were apparent for the territories. Coverage rates were significantly lower among people aged 75 or older than among those aged 12 to 74.
Release date: 2009-12-03 - 5. Collecting crime data in Canada ArchivedArticles and reports: 11-522-X200800011012Geography: CanadaDescription:
Justice surveys represent a unique type of survey undertaken by Statistics Canada. While they all essentially use administrative data, Statistics Canada has had considerable input into the type of data that is collected as well as quality assurance methods guiding the collection of this data. This is true in the areas of policing, courts and corrections. The main crime survey, the Uniform Crime Reporting Survey (UCR), is the focus of this paper and was designed to measure the incidence of crime in Canadian society and its characteristics. The data is collected by the policing community in Canada and transmitted electronically to Statistics Canada. This paper will begin by providing an overview of the survey and its distinctive properties, such as the use of intermediaries (software vendors) that convert data from the police's information systems into the UCR survey format, following nationally defined data requirements. This level of consistency is uncommon for an administrative survey and permits a variety of opportunities for improving the overall data quality and capabilities of the survey. Various methods such as quality indicators and feedback reports are used on a regular basis and frequent two-way communication takes place with the respondents to correct existing data problems and to prevent future ones. We will discuss recent improvements to both the data itself and our collection methods that have enhanced the usability of the survey. Finally, future development of the survey will be discussed including some of the challenges that currently exist as well as those still to come.
Release date: 2009-12-03 - Articles and reports: 12-001-X200700210492Description:
Multiple Frame Surveys were originally proposed to foster cost savings on the basis of an optimality approach. As surveys on special, rare and difficult-to-sample populations are becoming more prominent, a single list of population units to be used as a sampling frame is often unavailable in sampling practice. In recent literature multiple frame designs have been put forward in order to increase population coverage, to improve response rates and to capture differences and subgroups. Alternative approaches to multiple frame estimation have appeared, all of them relying upon the virtual partition of the set of the available overlapping frames into disjointed domains. Hence the correct classification of sampled units into the domains is required for practical applications. In this paper a multiple frame estimator is proposed using a multiplicity approach. Multiplicity estimators require less information about unit domain membership hence they are insensitive to misclassification. Moreover the proposed estimator is analytically simple so that it is easy to implement and its exact variance is given. Empirical results from an extensive simulation study comparing the multiplicity estimator with major competitors are also provided.
Release date: 2008-01-03 - Articles and reports: 82-003-S200700010363Description:
This overview describes the sampling strategy used to meet the collection and estimation requirements of the Canadian Health Measures Survey.
Release date: 2007-12-05
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- Journals and periodicals: 11-522-XDescription: Since 1984, an annual international symposium on methodological issues has been sponsored by Statistics Canada. Proceedings have been available since 1987.Release date: 2025-09-08
- Articles and reports: 12-001-X201100211608Description:
Designs and estimators for the single frame surveys currently used by U.S. government agencies were developed in response to practical problems. Federal household surveys now face challenges of decreasing response rates and frame coverage, higher data collection costs, and increasing demand for small area statistics. Multiple frame surveys, in which independent samples are drawn from separate frames, can be used to help meet some of these challenges. Examples include combining a list frame with an area frame or using two frames to sample landline telephone households and cellular telephone households. We review point estimators and weight adjustments that can be used to analyze multiple frame surveys with standard survey software, and summarize construction of replicate weights for variance estimation. Because of their increased complexity, multiple frame surveys face some challenges not found in single frame surveys. We investigate misclassification bias in multiple frame surveys, and propose a method for correcting for this bias when misclassification probabilities are known. Finally, we discuss research that is needed on nonsampling errors with multiple frame surveys.
Release date: 2011-12-21 - 3. Evaluation of the coverage of linked Canadian Community Health Survey and hospital inpatient records ArchivedArticles and reports: 11-522-X200800010972Description:
Background: Evaluation of the coverage that results from linking routinely collected administrative hospital data with survey data is an important preliminary step to undertaking analyses based on the linked file. Data and methods: To evaluate the coverage of the linkage between data from cycle 1.1 of the Canadian Community Health Survey (CCHS) and in-patient hospital data (Health Person-Oriented Information or HPOI), the number of people admitted to hospital according to HPOI was compared with the weighted estimate for CCHS respondents who were successfully linked to HPOI. Differences between HPOI and the linked and weighted CCHS estimate indicated linkage failure and/or undercoverage. Results: According to HPOI, from September 2000 through November 2001, 1,572,343 people (outside Quebec) aged 12 or older were hospitalized. Weighted estimates from the linked CCHS, adjusted for agreement to link and plausible health number, were 7.7% lower. Coverage rates were similar for males and females. Provincial rates did not differ from those for the rest of Canada, although differences were apparent for the territories. Coverage rates were significantly lower among people aged 75 or older than among those aged 12 to 74.
Release date: 2009-12-03 - 4. Collecting crime data in Canada ArchivedArticles and reports: 11-522-X200800011012Geography: CanadaDescription:
Justice surveys represent a unique type of survey undertaken by Statistics Canada. While they all essentially use administrative data, Statistics Canada has had considerable input into the type of data that is collected as well as quality assurance methods guiding the collection of this data. This is true in the areas of policing, courts and corrections. The main crime survey, the Uniform Crime Reporting Survey (UCR), is the focus of this paper and was designed to measure the incidence of crime in Canadian society and its characteristics. The data is collected by the policing community in Canada and transmitted electronically to Statistics Canada. This paper will begin by providing an overview of the survey and its distinctive properties, such as the use of intermediaries (software vendors) that convert data from the police's information systems into the UCR survey format, following nationally defined data requirements. This level of consistency is uncommon for an administrative survey and permits a variety of opportunities for improving the overall data quality and capabilities of the survey. Various methods such as quality indicators and feedback reports are used on a regular basis and frequent two-way communication takes place with the respondents to correct existing data problems and to prevent future ones. We will discuss recent improvements to both the data itself and our collection methods that have enhanced the usability of the survey. Finally, future development of the survey will be discussed including some of the challenges that currently exist as well as those still to come.
Release date: 2009-12-03 - Articles and reports: 12-001-X200700210492Description:
Multiple Frame Surveys were originally proposed to foster cost savings on the basis of an optimality approach. As surveys on special, rare and difficult-to-sample populations are becoming more prominent, a single list of population units to be used as a sampling frame is often unavailable in sampling practice. In recent literature multiple frame designs have been put forward in order to increase population coverage, to improve response rates and to capture differences and subgroups. Alternative approaches to multiple frame estimation have appeared, all of them relying upon the virtual partition of the set of the available overlapping frames into disjointed domains. Hence the correct classification of sampled units into the domains is required for practical applications. In this paper a multiple frame estimator is proposed using a multiplicity approach. Multiplicity estimators require less information about unit domain membership hence they are insensitive to misclassification. Moreover the proposed estimator is analytically simple so that it is easy to implement and its exact variance is given. Empirical results from an extensive simulation study comparing the multiplicity estimator with major competitors are also provided.
Release date: 2008-01-03 - Articles and reports: 82-003-S200700010363Description:
This overview describes the sampling strategy used to meet the collection and estimation requirements of the Canadian Health Measures Survey.
Release date: 2007-12-05
Reference (1)
Reference (1) ((1 result))
- Surveys and statistical programs – Documentation: 11-633-X2026002Description: Recent changes in Canada’s immigration levels have heightened interest in understanding how immigration affects housing demand. This article develops a methodological framework for projecting housing use associated with permanent residents (PRs) and non-permanent residents (NPRs) under alternative immigration scenarios. The framework applies observed per capita housing use rates from the Census of Population to estimate incremental housing use by tenure over time.Release date: 2026-04-24