Quality assurance
Filter results by
Search HelpKeyword(s)
Type
Survey or statistical program
- Survey of Household Spending (9)
- Census of Population (9)
- Survey of Labour and Income Dynamics (7)
- National Balance Sheet Accounts (3)
- Distributions of household economic accounts for wealth of Canadian households (3)
- Labour Force Survey (2)
- National Longitudinal Survey of Children and Youth (2)
- National Tourism Indicators (1)
- Consumer Price Index (1)
- Survey of Financial Security (1)
- Canadian Cancer Registry (1)
- Census of Agriculture (1)
- Food Expenditure Survey (1)
- Annual Income Estimates for Census Families and Individuals (T1 Family File) (1)
- General Social Survey - Giving, Volunteering and Participating (1)
- Canadian Health Measures Survey (1)
- Canadian Survey of Experiences with Primary Health Care (1)
Results
All (250)
All (250) (230 to 240 of 250 results)
- 231. Estimating labour force gross flows from surveys subject to household-level nonignorable nonresponse ArchivedArticles and reports: 12-001-X19980024349Description:
Measurement of gross flows in labour force status is an important objective of the continuing labour force surveys carried out by many national statistics agencies. However, it is well known that estimation of these flows can be complicated by nonresponse, measurement errors, sample rotation and complex design effects. Motivated by nonresponse patterns in household-based surveys, this paper focuses on estimation of labour force gross flows, while simultaneously adjusting for nonignorable nonresponse. Previous model-based approaches to gross flows estimation have assumed nonresponse to be an individual-level process. We propose a class of models that allow for nonignorable household-level nonresponse. A simulation study is used to show, that individual-level labour force gross flows estimates from household-based survey data, may be biased and that estimates using household-level models can offer a reduction in this bias.
Release date: 1999-01-14 - 232. Comparison of Hours Worked Based on the Survey of Labour and Income Dynamics and the Labour Force Survey ArchivedArticles and reports: 75F0002M1998014Description:
This paper compares hours worked obtained from two different surveys: the Survey of Labour and Income Dynamics (SLID) and the Labour Force Survey (LFS) in order to evaluate the quality of the data from each survey.
Release date: 1998-12-30 - 233. Intergenerational equity: policy and data implications ArchivedArticles and reports: 89-553-X19980014027Geography: CanadaDescription:
I examine three questions in this paper : 1. Does existing knowledge about intergenerational transfers, both public and private, provide the basis for effective policy choices? What is missing? What is needed, in particular by Canada's statistical system? 2. With an aging society, rapidly shifting labour markets, and shrinking social transfers in Canada, is a new generational compact emerging? and 3. What are the roles of differing models of inter-generational transfers, indeed of the demo-graphic concept of generation itself, in defining the field of policy options for Canadians in the late 1990s? In addressing these questions, I rely on analyses and a framework developed in McDaniel (1997).
Release date: 1998-11-05 - 234. A Review of Procedures for Estimating the Net Undercount of Censuses in Canada, the United States, Britain and Australia ArchivedArticles 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 - Articles and reports: 75F0002M1996012Description:
This paper gives an overview of the different sources of errors that occur with this methodology and presents some results on the impact of this mixed approach. The research has focused on micro-comparisons and has attempted to quantify the impact on measures of change.
Release date: 1997-12-31 - Articles and reports: 12-001-X19970013105Description:
The problem of estimating transition rates from longitudinal survey data in the presence of misclassification error is considered. Approaches which use external information on misclassification rates are reviewed, together with alternative models for measurement error. We define categorical instrumental variables and propose methods for the identification and estimation of models including such variables by viewing the model as a restricted latent class model. The numerical properties of the implied instrumental variable estimators of flow rates are studied using data from the Panel Study of Income Dynamics.
Release date: 1997-08-18 - 237. Project on Matching Census 1986 Database and Manitoba Health Care Files: Private Households Component ArchivedArticles and reports: 11F0019M1996091Geography: Province or territoryDescription:
Introduction: In the current economic context, all partners in health care delivery systems, be they public or private, are obliged to identify the factors that influence the utilization of health care services. To improve our understanding of the phenomena that underlie these relationships, Statistics Canada and the Manitoba Centre for Health Policy and Evaluation have just set up a new database. For a representative sample of the population of the province of Manitoba, cross-sectional microdata on individuals' health and socio-economic characteristics were linked with detailed longitudinal data on utilization of health care services.
Data and methods: The 1986-87 Health and Activity Limitation Survey, the 1986 Census and the files of Manitoba Health were matched (without using names or addresses) by means of the CANLINK software. In the pilot project, 20,000 units were selected from the Census according to modern sampling techniques. Before the files were matched, consultations were held and an agreement was signed by all parties in order to establish a framework for protecting privacy and preserving the confidentiality of the data.
Results: A matching rate of 74% was obtained for private households. A quality evaluation based on the comparisons of names and addresses over a small subsample established that the overall concordance rate among matched pairs was 95.5%. The match rates and concordance rates varied according to age and household composition. Estimates produced from the sample accurately reflected the socio-demographic profile, mortality, hospitalization rate, health care costs and consumption of health care by Manitoba residents.
Discussion: The matching rate of 74% was satisfactory in comparison with the response rates reported in most population surveys. Because of the excellent concordance rate and the accuracy of the estimates obtained from the sample, this database will provide an adequate basis for studying the association between socio-demographic characteristics, health and health care utilization in province of Manitoba.
Release date: 1996-03-30 - 238. Qualitative Aspects of the Survey of Labour and Income Dynamics (SLID) Test 3A Data Collection ArchivedSurveys and statistical programs – Documentation: 75F0002M1993007Description:
This report presents a summary evaluation of the quality of the data collected during the Survey of Labour and Income Dynamics (SLID) field test of labour market activity data, held in January and February 1993.
Release date: 1995-12-30 - 239. Qualitative Aspects of the Survey of Labour and Income Dynamics (SLID) Test 3B Data Collection ArchivedSurveys and statistical programs – Documentation: 75F0002M1993011Description:
This report presents a summary evaluation of the quality of the data collected during the Survey of Labour and Income Dynamics (SLID) field test of income and wealth, held in April and May 1993.
Release date: 1995-12-30 - Surveys and statistical programs – Documentation: 75F0002M1994015Description:
This paper describes how the computer-assisted interviewing (CAI) income application was programmed for a Survey of Labour and Income Dynamics (SLID) test conducted in 1993.
Release date: 1995-12-30
- Previous Go to previous page of All results
- 1 Go to page 1 of All results
- ...
- 19 Go to page 19 of All results
- 20 Go to page 20 of All results
- 21 Go to page 21 of All results
- 22 Go to page 22 of All results
- 23 Go to page 23 of All results
- 24 (current) Go to page 24 of All results
- 25 Go to page 25 of All results
- Next Go to next page of All results
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (171)
Analysis (171) (0 to 10 of 171 results)
- Journals and periodicals: 75F0002MDescription: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.Release date: 2024-02-22
- Articles and reports: 13-604-M2024001Description: This documentation outlines the methodology used to develop the Distributions of household economic accounts published in January 2024 for the reference years 2010 to 2023. It describes the framework and the steps implemented to produce distributional information aligned with the National Balance Sheet Accounts and other national accounts concepts. It also includes a report on the quality of the estimated distributions.Release date: 2024-01-22
- Articles and reports: 13-604-M2023001Description: This documentation outlines the methodology used to develop the Distributions of household economic accounts published in March 2023 for the reference years 2010 to 2022. It describes the framework and the steps implemented to produce distributional information aligned with the National Balance Sheet Accounts and other national accounts concepts. It also includes a report on the quality of the estimated distributions.Release date: 2023-03-31
- Articles and reports: 13-604-M2022002Description:
This documentation outlines the methodology used to develop the Distributions of household economic accounts published in August 2022 for the reference years 2010 to 2021. It describes the framework and the steps implemented to produce distributional information aligned with the National Balance Sheet Accounts and other national accounts concepts. It also includes a report on the quality of the estimated distributions.
Release date: 2022-08-03 - 5. Creation of a composite quality indicator for administrative data-based estimates using clustering ArchivedArticles and reports: 11-522-X202100100015Description: National statistical agencies such as Statistics Canada have a responsibility to convey the quality of statistical information to users. The methods traditionally used to do this are based on measures of sampling error. As a result, they are not adapted to the estimates produced using administrative data, for which the main sources of error are not due to sampling. A more suitable approach to reporting the quality of estimates presented in a multidimensional table is described in this paper. Quality indicators were derived for various post-acquisition processing steps, such as linkage, geocoding and imputation, by estimation domain. A clustering algorithm was then used to combine domains with similar quality levels for a given estimate. Ratings to inform users of the relative quality of estimates across domains were assigned to the groups created. This indicator, called the composite quality indicator (CQI), was developed and experimented with in the Canadian Housing Statistics Program (CHSP), which aims to produce official statistics on the residential housing sector in Canada using multiple administrative data sources.
Keywords: Unsupervised machine learning, quality assurance, administrative data, data integration, clustering.
Release date: 2021-10-22 - Articles and reports: 11-522-X202100100023Description:
Our increasingly digital society provides multiple opportunities to maximise our use of data for the public good – using a range of sources, data types and technologies to enable us to better inform the public about social and economic matters and contribute to the effective development and evaluation of public policy. Ensuring use of data in ethically appropriate ways is an important enabler for realising the potential to use data for public good research and statistics. Earlier this year the UK Statistics Authority launched the Centre for Applied Data Ethics to provide applied data ethics services, advice, training and guidance to the analytical community across the United Kingdom. The Centre has developed a framework and portfolio of services to empower analysts to consider the ethics of their research quickly and easily, at the research design phase thus promoting a culture of ethics by design. This paper will provide an overview of this framework, the accompanying user support services and the impact of this work.
Key words: Data ethics, data, research and statistics
Release date: 2021-10-22 - Articles and reports: 13-604-M2021001Description:
This documentation outlines the methodology used to develop the Distributions of household economic accounts published in September 2021 for the reference years 2010 to 2020. It describes the framework and the steps implemented to produce distributional information aligned with the National Balance Sheet Accounts and other national accounts concepts. It also includes a report on the quality of the estimated distributions.
Release date: 2021-09-07 - 8. Data Quality in Six Dimensions ArchivedStats in brief: 89-20-00062020001Description:
In this video, you will be introduced to the fundamentals of data quality, which can be summed up in six dimensions—or six different ways to think about quality. You will also learn how each dimension can be used to evaluate the quality of data.
Release date: 2020-09-23 - Stats in brief: 89-20-00062020008Description:
Accuracy is one of the six dimensions of Data Quality used at Statistics Canada. Accuracy refers to how well the data reflects the truth or what actually happened. In this video we will present methods to describe accuracy in terms of validity and correctness. We will also discuss methods to validate and check the accuracy of data values.
Release date: 2020-09-23 - Articles and reports: 13-604-M2020002Description:
This documentation outlines the methodology used to develop the Distributions of household economic accounts published in June 2020 for the reference years 2010 to 2019. It describes the framework and the steps implemented to produce distributional information aligned with the National balance sheet accounts and other national accounts concepts. It also includes a report on the quality of the estimated distributions.
Release date: 2020-06-26
- Previous Go to previous page of Analysis results
- 1 (current) Go to page 1 of Analysis results
- 2 Go to page 2 of Analysis results
- 3 Go to page 3 of Analysis results
- 4 Go to page 4 of Analysis results
- 5 Go to page 5 of Analysis results
- 6 Go to page 6 of Analysis results
- 7 Go to page 7 of Analysis results
- ...
- 18 Go to page 18 of Analysis results
- Next Go to next page of Analysis results
Reference (78)
Reference (78) (0 to 10 of 78 results)
- Surveys and statistical programs – Documentation: 32-26-0007Description: Census of Agriculture data provide statistical information on farms and farm operators at fine geographic levels and for small subpopulations. Quality evaluation activities are essential to ensure that census data are reliable and that they meet user needs. This report provides data quality information pertaining to the Census of Agriculture, such as sources of error, error detection, disclosure control methods, data quality indicators, response rates and collection rates.Release date: 2024-02-06
- Surveys and statistical programs – Documentation: 12-539-XDescription:
This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.
Release date: 2019-12-04 - Surveys and statistical programs – Documentation: 12-606-XDescription:
This is a toolkit intended to aid data producers and data users external to Statistics Canada.
Release date: 2017-09-27 - 4. Comparison of Place of Residence between the T1 Family File and the Census: Evaluation using record linkage ArchivedSurveys and statistical programs – Documentation: 91F0015M2017013Description:
Using records linkage, this article compares the place of residence in the 2011 Census to that of the 2010 T1 Family File (T1FF). The main result is that although the overall level of consistency in the place of residence is relatively high, it decreases, sometimes substantially, for some segments of the population.
Release date: 2017-09-26 - Surveys and statistical programs – Documentation: 12-586-XDescription:
The Quality Assurance Framework (QAF) serves as the highest-level governance tool for quality management at Statistics Canada. The QAF gives an overview of the quality management and risk mitigation strategies used by the Agency’s program areas. The QAF is used in conjunction with Statistics Canada management practices, such as those described in the Quality Guidelines.
Release date: 2017-04-21 - 6. Challenges and results in using Audit trail data to monitor Labour Force Survey data quality ArchivedSurveys and statistical programs – Documentation: 11-522-X201700014707Description:
The Labour Force Survey (LFS) is a monthly household survey of about 56,000 households that provides information on the Canadian labour market. Audit Trail is a Blaise programming option, for surveys like LFS with Computer Assisted Interviewing (CAI), which creates files containing every keystroke and edit and timestamp of every data collection attempt on all households. Combining such a large survey with such a complete source of paradata opens the door to in-depth data quality analysis but also quickly leads to Big Data challenges. How can meaningful information be extracted from this large set of keystrokes and timestamps? How can it help assess the quality of LFS data collection? The presentation will describe some of the challenges that were encountered, solutions that were used to address them, and results of the analysis on data quality.
Release date: 2016-03-24 - Surveys and statistical programs – Documentation: 11-522-X201700014716Description:
Administrative data, depending on its source and original purpose, can be considered a more reliable source of information than survey-collected data. It does not require a respondent to be present and understand question wording, and it is not limited by the respondent’s ability to recall events retrospectively. This paper compares selected survey data, such as demographic variables, from the Longitudinal and International Study of Adults (LISA) to various administrative sources for which LISA has linkage agreements in place. The agreement between data sources, and some factors that might affect it, are analyzed for various aspects of the survey.
Release date: 2016-03-24 - 8. Student Pathways and Graduate Outcomes ArchivedSurveys and statistical programs – Documentation: 11-522-X201700014717Description:
Files with linked data from the Statistics Canada, Postsecondary Student Information System (PSIS) and tax data can be used to examine the trajectories of students who pursue postsecondary education (PSE) programs and their post-schooling labour market outcomes. On one hand, administrative data on students linked longitudinally can provide aggregate information on student pathways during postsecondary studies such as persistence rates, graduation rates, mobility, etc. On the other hand, the tax data could supplement the PSIS data to provide information on employment outcomes such as average and median earnings or earnings progress by employment sector (industry), field of study, education level and/or other demographic information, year over year after graduation. Two longitudinal pilot studies have been done using administrative data on postsecondary students of Maritimes institutions which have been longitudinally linked and linked to Statistics Canada Ttx data (the T1 Family File) for relevant years. This article first focuses on the quality of information in the administrative data and the methodology used to conduct these longitudinal studies and derive indicators. Second, it will focus on some limitations when using administrative data, rather than a survey, to define some concepts.
Release date: 2016-03-24 - 9. Using data linkage to evaluate the consistency of place of residence between census data and tax data ArchivedSurveys and statistical programs – Documentation: 11-522-X201700014725Description:
Tax data are being used more and more to measure and analyze the population and its characteristics. One of the issues raised by the growing use of these type of data relates to the definition of the concept of place of residence. While the census uses the traditional concept of place of residence, tax data provide information based on the mailing address of tax filers. Using record linkage between the census, the National Household Survey and tax data from the T1 Family File, this study examines the consistency level of the place of residence of these two sources and its associated characteristics.
Release date: 2016-03-24 - Surveys and statistical programs – Documentation: 11-522-X201700014726Description:
Internal migration is one of the components of population growth estimated at Statistics Canada. It is estimated by comparing individuals’ addresses at the beginning and end of a given period. The Canada Child Tax Benefit and T1 Family File are the primary data sources used. Address quality and coverage of more mobile subpopulations are crucial to producing high-quality estimates. The purpose of this article is to present the results of evaluations of these elements using access to more tax data sources at Statistics Canada.
Release date: 2016-03-24
- Previous Go to previous page of Reference results
- 1 (current) Go to page 1 of Reference results
- 2 Go to page 2 of Reference results
- 3 Go to page 3 of Reference results
- 4 Go to page 4 of Reference results
- 5 Go to page 5 of Reference results
- 6 Go to page 6 of Reference results
- 7 Go to page 7 of Reference results
- 8 Go to page 8 of Reference results
- Next Go to next page of Reference results
- Date modified: