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- Articles and reports: 75F0002M2024005Description: The Canadian Income Survey (CIS) has introduced improvements to the methods and data sources used to produce income and poverty estimates with the release of its 2022 reference year estimates. Foremost among these improvements is a significant increase in the sample size for a large subset of the CIS content. The weighting methodology was also improved and the target population of the CIS was changed from persons aged 16 years and over to persons aged 15 years and over. This paper describes the changes made and presents the approximate net result of these changes on the income estimates and data quality of the CIS using 2021 data. The changes described in this paper highlight the ways in which data quality has been improved while having little impact on key CIS estimates and trends.Release date: 2024-04-26
- Articles and reports: 75F0002M2023005Description: The Canadian Income Survey (CIS) has introduced improvements to the methods and systems used to produce income estimates with the release of its 2021 reference year estimates. This paper describes the changes and presents the approximate net result of these changes on income estimates using data for 2019 and 2020. The changes described in this paper highlight the ways in which data quality has been improved while producing minimal impact on key CIS estimates and trends.Release date: 2023-08-29
- Articles and reports: 12-001-X201300111824Description:
In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.
Release date: 2013-06-28 - Articles and reports: 89-648-X2011001Geography: CanadaDescription:
In January 2006, a conference on longitudinal surveys hosted by Statistics Canada, the Social and Humanities Research Council of Canada (SSHRC) and the Canadian Institute of Health Research (CIHR) concluded that Canada lacks a longitudinal survey which collects information on multiple subjects such as family, human capital, labour health and follows respondents for a long period of time. Following this conference, funds were received from the Policy Research Data Gaps fund (PRDG) to support a pilot survey for a new Canadian Household Panel Survey (CHPS-Pilot). Consultations on the design and content were held with academic and policy experts in 2007 and 2008, and a pilot survey was conducted in the fall of 2008. The objectives of the pilot survey were to (1) test a questionnaire, evaluate interview length and measure the quality of data collected, (2) evaluate several design features; and (3) test reactions to the survey from respondents and field workers. The pilot survey achieved a response rate of 76%, with a median household interview time of 64 minutes. Several innovative design features were tested, and found to be viable. Response to the survey, whether from respondents or interviewers, was generally positive. This paper highlights these and other results from the CHPS-Pilot.
Release date: 2011-09-14 - Articles and reports: 11-522-X200800010988Description:
Online data collection emerged in 1995 as an alternative approach for conducting certain types of consumer research studies and has grown in 2008. This growth has been primarily in studies where non-probability sampling methods are used. While online sampling has gained acceptance for some research applications, serious questions remain concerning online samples' suitability for research requiring precise volumetric measurement of the behavior of the U.S. population, particularly their travel behavior. This paper reviews literature and compares results from studies using probability samples and online samples to understand whether results differ from the two sampling approaches. The paper also demonstrates that online samples underestimate critical types of travel even after demographic and geographic weighting.
Release date: 2009-12-03 - 6. The 2006 reverse record check sample allocation ArchivedArticles and reports: 12-001-X20060019261Description:
Sample allocation can be optimized with respect to various goals. When there is more than one goal, a compromise allocation must be chosen. In the past, the Reverse Record Check achieved that compromise by having a certain fraction of the sample optimally allocated for each goal (for example, two thirds of the sample is allocated to produce good-quality provincial estimates, and one third to produce a good-quality national estimate). This paper suggests a method that involves selecting the maximum of two or more optimal allocations. By analyzing the impact that the precision of population estimates has on the federal government's equalization payments to the provinces, we can set four goals for the Reverse Record Check's provincial sample allocation. The Reverse Record Check's subprovincial sample allocation requires the smoothing of stratum-level parameters. This paper shows how calibration can be used to achieve this smoothing. The calibration problem and its solution do not assume that the calibration constraints have a solution. This avoids convergence problems inherent in related methods such as the raking ratio.
Release date: 2006-07-20 - Articles and reports: 11-522-X20040018753Description:
For the estimation of low-income households, a supplementary sample is selected within a limited number of geographic areas. This paper presents the dual sample design used, along with scenarios considered and some findings that led to the choices made.
Release date: 2005-10-27 - Articles and reports: 11-522-X20010016260Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The Canadian Vehicle Survey (CVS), which began in 1999, is designed to collect information about the usage of motor vehicles registered in Canada. The CVS target population includes all on-road vehicles (except special equipment, trailers and motorcycles) registered in Canada. A sample of vehicles is drawn each quarter and a seven-day trip log is used to gather detailed vehicle usage patterns. The log includes questions on kilometres driven, number of passengers, vehicle characteristics, trip purpose and travel times, driver and passenger demographics and fuel usage. Since this is a voluntary survey and the log takes seven days to complete, every effort is made to ensure a good response rate and prevent response errors. The first part of this paper describes the current survey design, data collection, and editing and imputation methodology. Then it goes on to explain the challenges associated with the different steps of the survey. Finally, findings from the research carried out to minimize the effects of non-sampling errors are presented.
Release date: 2002-09-12 - Surveys and statistical programs – Documentation: 11-522-X20010016269Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
In surveys with low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response, there are different approaches that help identify potential sources of non-response bias. In the National Center for Education Statistics (NCES), surveys with a response rate lower than 70% must conduct a non-response bias analysis. This paper discusses the different approaches to non-response bias analyses using examples from NCES.
Release date: 2002-09-12
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- Articles and reports: 75F0002M2024005Description: The Canadian Income Survey (CIS) has introduced improvements to the methods and data sources used to produce income and poverty estimates with the release of its 2022 reference year estimates. Foremost among these improvements is a significant increase in the sample size for a large subset of the CIS content. The weighting methodology was also improved and the target population of the CIS was changed from persons aged 16 years and over to persons aged 15 years and over. This paper describes the changes made and presents the approximate net result of these changes on the income estimates and data quality of the CIS using 2021 data. The changes described in this paper highlight the ways in which data quality has been improved while having little impact on key CIS estimates and trends.Release date: 2024-04-26
- Articles and reports: 75F0002M2023005Description: The Canadian Income Survey (CIS) has introduced improvements to the methods and systems used to produce income estimates with the release of its 2021 reference year estimates. This paper describes the changes and presents the approximate net result of these changes on income estimates using data for 2019 and 2020. The changes described in this paper highlight the ways in which data quality has been improved while producing minimal impact on key CIS estimates and trends.Release date: 2023-08-29
- Articles and reports: 12-001-X201300111824Description:
In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.
Release date: 2013-06-28 - Articles and reports: 89-648-X2011001Geography: CanadaDescription:
In January 2006, a conference on longitudinal surveys hosted by Statistics Canada, the Social and Humanities Research Council of Canada (SSHRC) and the Canadian Institute of Health Research (CIHR) concluded that Canada lacks a longitudinal survey which collects information on multiple subjects such as family, human capital, labour health and follows respondents for a long period of time. Following this conference, funds were received from the Policy Research Data Gaps fund (PRDG) to support a pilot survey for a new Canadian Household Panel Survey (CHPS-Pilot). Consultations on the design and content were held with academic and policy experts in 2007 and 2008, and a pilot survey was conducted in the fall of 2008. The objectives of the pilot survey were to (1) test a questionnaire, evaluate interview length and measure the quality of data collected, (2) evaluate several design features; and (3) test reactions to the survey from respondents and field workers. The pilot survey achieved a response rate of 76%, with a median household interview time of 64 minutes. Several innovative design features were tested, and found to be viable. Response to the survey, whether from respondents or interviewers, was generally positive. This paper highlights these and other results from the CHPS-Pilot.
Release date: 2011-09-14 - Articles and reports: 11-522-X200800010988Description:
Online data collection emerged in 1995 as an alternative approach for conducting certain types of consumer research studies and has grown in 2008. This growth has been primarily in studies where non-probability sampling methods are used. While online sampling has gained acceptance for some research applications, serious questions remain concerning online samples' suitability for research requiring precise volumetric measurement of the behavior of the U.S. population, particularly their travel behavior. This paper reviews literature and compares results from studies using probability samples and online samples to understand whether results differ from the two sampling approaches. The paper also demonstrates that online samples underestimate critical types of travel even after demographic and geographic weighting.
Release date: 2009-12-03 - 6. The 2006 reverse record check sample allocation ArchivedArticles and reports: 12-001-X20060019261Description:
Sample allocation can be optimized with respect to various goals. When there is more than one goal, a compromise allocation must be chosen. In the past, the Reverse Record Check achieved that compromise by having a certain fraction of the sample optimally allocated for each goal (for example, two thirds of the sample is allocated to produce good-quality provincial estimates, and one third to produce a good-quality national estimate). This paper suggests a method that involves selecting the maximum of two or more optimal allocations. By analyzing the impact that the precision of population estimates has on the federal government's equalization payments to the provinces, we can set four goals for the Reverse Record Check's provincial sample allocation. The Reverse Record Check's subprovincial sample allocation requires the smoothing of stratum-level parameters. This paper shows how calibration can be used to achieve this smoothing. The calibration problem and its solution do not assume that the calibration constraints have a solution. This avoids convergence problems inherent in related methods such as the raking ratio.
Release date: 2006-07-20 - Articles and reports: 11-522-X20040018753Description:
For the estimation of low-income households, a supplementary sample is selected within a limited number of geographic areas. This paper presents the dual sample design used, along with scenarios considered and some findings that led to the choices made.
Release date: 2005-10-27 - Articles and reports: 11-522-X20010016260Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The Canadian Vehicle Survey (CVS), which began in 1999, is designed to collect information about the usage of motor vehicles registered in Canada. The CVS target population includes all on-road vehicles (except special equipment, trailers and motorcycles) registered in Canada. A sample of vehicles is drawn each quarter and a seven-day trip log is used to gather detailed vehicle usage patterns. The log includes questions on kilometres driven, number of passengers, vehicle characteristics, trip purpose and travel times, driver and passenger demographics and fuel usage. Since this is a voluntary survey and the log takes seven days to complete, every effort is made to ensure a good response rate and prevent response errors. The first part of this paper describes the current survey design, data collection, and editing and imputation methodology. Then it goes on to explain the challenges associated with the different steps of the survey. Finally, findings from the research carried out to minimize the effects of non-sampling errors are presented.
Release date: 2002-09-12
Reference (1)
Reference (1) ((1 result))
- Surveys and statistical programs – Documentation: 11-522-X20010016269Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
In surveys with low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response, there are different approaches that help identify potential sources of non-response bias. In the National Center for Education Statistics (NCES), surveys with a response rate lower than 70% must conduct a non-response bias analysis. This paper discusses the different approaches to non-response bias analyses using examples from NCES.
Release date: 2002-09-12