Quality assurance
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- 1. Quality Assurance Review: Summary Report ArchivedSurveys and statistical programs – Documentation: 12-594-XDescription:
This Summary Report provides an overview of the findings of a Quality Assurance Review that was conducted for nine key statistical programs during the period September 2006 to February 2007. The review was commissioned by Statistics Canada's Policy Committee in order to assess the soundness of quality assurance processes for these nine programs and to propose improvements where needed. The Summary Report describes the principal themes that recur frequently throughout these programs, as well as providing guidance for future reviews of this type.
Release date: 2007-06-20 - Articles and reports: 75F0002M2007003Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.
Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2007-05-10 - Articles and reports: 11-522-X20050019434Description:
Traditional methods for statistical disclosure limitation in tabular data are cell suppression, data rounding and data perturbation. Because the suppression mechanism is not describable in probabilistic terms, suppressed tables are not amenable to statistical methods such as imputation. Data quality characteristics of suppressed tables are consequently poor.
Release date: 2007-03-02 - 4. Data swapping is not the panacea ArchivedArticles and reports: 11-522-X20050019435Description:
Data swapping introduces noise in a dataset to improve the protection of statistical confidentiality. We demonstrate in this article that this technique introduces a bias in the estimates.
Release date: 2007-03-02 - 5. Common metadata constructs for statistical data ArchivedArticles and reports: 11-522-X20050019436Description:
Regardless of the specifics of any given metadata scheme, there are common metadata constructs used to describe statistical data. This paper will give an overview of the different approaches taken to achieve the common goal of providing consistent information.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019441Description:
The Survey of Principals collects information on various topics related to the work of school principals. This article presents a brief description of this survey 's challenges and provides examples to illustrate the problems observed. The steps taken to resolve the challenges are described, and their impact on data quality is analyzed.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019444Description:
There are several ways to improve data quality. One of them is to re-design and test questionnaires for ongoing surveys. The benefits of questionnaire re-design and testing include improving the accuracy by ensuring the questions collect the required data, as well as decreased response burden.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019445Description:
This paper describes an innovative use of data mining on response data and metadata to identify, characterize and prevent falsification by field interviewers on the National Survey on Drug Use and Health (NSDUH). Interviewer falsification is the deliberate creation of survey responses by the interviewer without input from the respondent.
Release date: 2007-03-02 - 9. Delivering the metadata: An RDC experience ArchivedArticles and reports: 11-522-X20050019456Description:
The metadata associated with microdata production of major Statistics Canada household and social surveys are often voluminous and daunting. There does not appear to be a systematic approach to disseminating the metadata of confidential microdata files across all surveys. This heterogeneity applies to content as well as method of dissemination. A pilot project was conducted within the RDC Program to evaluate one standard, the Data Documentation Initiative (DDI), that might support such a process.
Release date: 2007-03-02 - 10. Communicating variances for interpretation of changes and turning points in repeated surveys ArchivedArticles and reports: 11-522-X20050019460Description:
Users will analyse and interpret the time series of estimates in various ways often involving estimates for several time periods. Despite the large sample sizes and degree of overlap between the sample for some periods the sampling errors can still substantially affect the estimates of movements and functions of them used to interpret the series of estimates. We consider how to account for sampling errors in the interpretation of the estimates from repeated surveys and how to inform the users and analysts of their possible impact.
Release date: 2007-03-02
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- Articles and reports: 75F0002M2007003Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.
Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2007-05-10 - Articles and reports: 11-522-X20050019434Description:
Traditional methods for statistical disclosure limitation in tabular data are cell suppression, data rounding and data perturbation. Because the suppression mechanism is not describable in probabilistic terms, suppressed tables are not amenable to statistical methods such as imputation. Data quality characteristics of suppressed tables are consequently poor.
Release date: 2007-03-02 - 3. Data swapping is not the panacea ArchivedArticles and reports: 11-522-X20050019435Description:
Data swapping introduces noise in a dataset to improve the protection of statistical confidentiality. We demonstrate in this article that this technique introduces a bias in the estimates.
Release date: 2007-03-02 - 4. Common metadata constructs for statistical data ArchivedArticles and reports: 11-522-X20050019436Description:
Regardless of the specifics of any given metadata scheme, there are common metadata constructs used to describe statistical data. This paper will give an overview of the different approaches taken to achieve the common goal of providing consistent information.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019441Description:
The Survey of Principals collects information on various topics related to the work of school principals. This article presents a brief description of this survey 's challenges and provides examples to illustrate the problems observed. The steps taken to resolve the challenges are described, and their impact on data quality is analyzed.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019444Description:
There are several ways to improve data quality. One of them is to re-design and test questionnaires for ongoing surveys. The benefits of questionnaire re-design and testing include improving the accuracy by ensuring the questions collect the required data, as well as decreased response burden.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019445Description:
This paper describes an innovative use of data mining on response data and metadata to identify, characterize and prevent falsification by field interviewers on the National Survey on Drug Use and Health (NSDUH). Interviewer falsification is the deliberate creation of survey responses by the interviewer without input from the respondent.
Release date: 2007-03-02 - 8. Delivering the metadata: An RDC experience ArchivedArticles and reports: 11-522-X20050019456Description:
The metadata associated with microdata production of major Statistics Canada household and social surveys are often voluminous and daunting. There does not appear to be a systematic approach to disseminating the metadata of confidential microdata files across all surveys. This heterogeneity applies to content as well as method of dissemination. A pilot project was conducted within the RDC Program to evaluate one standard, the Data Documentation Initiative (DDI), that might support such a process.
Release date: 2007-03-02 - 9. Communicating variances for interpretation of changes and turning points in repeated surveys ArchivedArticles and reports: 11-522-X20050019460Description:
Users will analyse and interpret the time series of estimates in various ways often involving estimates for several time periods. Despite the large sample sizes and degree of overlap between the sample for some periods the sampling errors can still substantially affect the estimates of movements and functions of them used to interpret the series of estimates. We consider how to account for sampling errors in the interpretation of the estimates from repeated surveys and how to inform the users and analysts of their possible impact.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019461Description:
We propose a generalization of the usual coefficient of variation (CV) to address some of the known problems when used in measuring quality of estimates. Some of the problems associated with CV include interpretation when the estimate is near zero, and the inconsistency in the interpretation about precision when computed for different one-to-one monotonic transformations.
Release date: 2007-03-02
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- 1. Quality Assurance Review: Summary Report ArchivedSurveys and statistical programs – Documentation: 12-594-XDescription:
This Summary Report provides an overview of the findings of a Quality Assurance Review that was conducted for nine key statistical programs during the period September 2006 to February 2007. The review was commissioned by Statistics Canada's Policy Committee in order to assess the soundness of quality assurance processes for these nine programs and to propose improvements where needed. The Summary Report describes the principal themes that recur frequently throughout these programs, as well as providing guidance for future reviews of this type.
Release date: 2007-06-20
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