Keyword search

View results

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Subject

Type

13 facets displayed. 0 facets selected.

Year of publication

49 facets displayed. 0 facets selected.

Geography

31 facets displayed. 0 facets selected.

Survey or statistical program

702 facets displayed. 0 facets selected.

Portal

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (24,412)

All (24,412) (24,350 to 24,360 of 24,412 results)

  • 24,351. Simcoe Muskoka Opioid Overdose Cohort
    Surveys and statistical programs – Documentation: 5361
    Description: The Simcoe Muskoka Opioid Overdose Cohort (SMOOC) is an expansion of a pilot project that had previously been conducted with the province of British Columbia to better understand the characteristics of people who experienced an opioid overdose. The objective of the SMOOC was to create a cohort of individuals who experienced a fatal or non-fatal overdose in the Simcoe Muskoka area between January 2018 and December 2019.
  • 24,352. Survey on Health Care Workers' Experiences During the Pandemic
    Surveys and statistical programs – Documentation: 5362
    Description: The purpose of this survey is to understand the impact of the COVID-19 pandemic on health care workers in Canada.
  • 24,353. Provincial and Territorial Culture Indicators
    Surveys and statistical programs – Documentation: 5364
    Description: The Provincial and Territorial Culture Indicators provide timely information which facilitates ongoing monitoring and analysis of culture and sport activities in Canada, by province and territory.
  • 24,354. Provincial and Territorial Tourism Satellite Account
    Surveys and statistical programs – Documentation: 5365
    Description: The Provincial and Territorial Tourism Satellite Account (PTTSA) provides an economic measure of the importance of tourism in terms of expenditures, gross domestic product and employment for each of the provinces and territories.
  • 24,355. Office of the Commissioner for Federal Judicial Affairs Canada (FJA)
    Surveys and statistical programs – Documentation: 5366
    Description: Data from the Office of the Commissioner for Federal Judicial Affairs Canada will be used to create an indicator for the Gender Results Framework. The purpose is to present the gender distribution of federally appointed judges in federal, provincial and territorial courts.
  • 24,356. Natural Resources Indicators (NRI)
    Surveys and statistical programs – Documentation: 5367
    Description: The Natural Resource Indicators (NRI) provide timely information which facilitates ongoing monitoring and analysis of the economic contribution of the natural resources sector in Canada. This sector is split between four subsectors; energy, minerals and mining, forestry, and hunting, fishing and water. A downstream natural resources sector is also measured.
  • 24,357. Distributions of household economic accounts for wealth of Canadian households
    Surveys and statistical programs – Documentation: 5369
    Description: The Distributions of Household Economic Accounts (DHEA) for wealth provide information on the economic well-being and financial stability of households in Canada. The DHEA help address questions such as vulnerabilities and inequality across different groups of households and are an important complement to standard quarterly and annual indicators related to the economy.
  • 24,358. Distributions of household economic accounts for income, consumption and saving of Canadian households
    Surveys and statistical programs – Documentation: 5370
    Description: The Distributions of Household Economic Accounts (DHEA) for income, consumption and saving provide information on the economic well-being and financial stability of households in Canada. The DHEA help address questions such as vulnerabilities and inequality across different groups of households and are an important complement to standard quarterly and annual indicators related to the economy.
  • 24,359. Canadian Survey on Early Learning and Child Care (CSELCC)
    Surveys and statistical programs – Documentation: 5371
    Description: The survey asks parents and guardians about the arrangements they use for their child aged 0 to 5, including the associated costs, the difficulties they may have faced when looking for care, and what their preferences for child care are. This survey also collects information on parents' and guardian's labour market participation to better understand the interaction between work and the use of early learning and child care arrangements. Results from this survey will be used to help improve the Canada-wide early learning and child care system and provide Canadians with a strong baseline of data to measure progress and changes to the system.
  • 24,360. Covid 19 Restrictions indexes; Daily
    Surveys and statistical programs – Documentation: 5373
    Description: This program produces indexes for the stringency of Covid-19 restrictions across the provinces and territories.
Data (12,040)

Data (12,040) (0 to 10 of 12,040 results)

Analysis (10,002)

Analysis (10,002) (60 to 70 of 10,002 results)

  • 61. Comments by Takumi Saegusa on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”: Causal inference, non-probability sample, and finite population
    Articles and reports: 12-001-X202400100006
    Description: In some of non-probability sample literature, the conditional exchangeability assumption is considered to be necessary for valid statistical inference. This assumption is rooted in causal inference though its potential outcome framework differs greatly from that of non-probability samples. We describe similarities and differences of two frameworks and discuss issues to consider when adopting the conditional exchangeability assumption in non-probability sample setups. We also discuss the role of finite population inference in different approaches of propensity scores and outcome regression modeling to non-probability samples.
    Release date: 2024-06-25
  • 62. Comments by Jae Kwang Kim and Yonghyun Kwon on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
    Articles and reports: 12-001-X202400100007
    Description: Pseudo weight construction for data integration can be understood in the two-phase sampling framework. Using the two-phase sampling framework, we discuss two approaches to the estimation of propensity scores and develop a new way to construct the propensity score function for data integration using the conditional maximum likelihood method. Results from a limited simulation study are also presented.
    Release date: 2024-06-25
  • 63. Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples
    Articles and reports: 12-001-X202400100008
    Description: Nonprobability samples emerge rapidly to address time-sensitive priority topics in different areas. These data are timely but subject to selection bias. To reduce selection bias, there has been wide literature in survey research investigating the use of propensity-score (PS) adjustment methods to improve the population representativeness of nonprobability samples, using probability-based survey samples as external references. Conditional exchangeability (CE) assumption is one of the key assumptions required by PS-based adjustment methods. In this paper, I first explore the validity of the CE assumption conditional on various balancing score estimates that are used in existing PS-based adjustment methods. An adaptive balancing score is proposed for unbiased estimation of population means. The population mean estimators under the three CE assumptions are evaluated via Monte Carlo simulation studies and illustrated using the NIH SARS-CoV-2 seroprevalence study to estimate the proportion of U.S. adults with COVID-19 antibodies from April 01-August 04, 2020.
    Release date: 2024-06-25
  • 64. Authors’ response to comments on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100009
    Description: Our comments respond to discussion from Sen, Brick, and Elliott. We weigh the potential upside and downside of Sen’s suggestion of using machine learning to identify bogus respondents through interactions and improbable combinations of variables. We join Brick in reflecting on bogus respondents’ impact on the state of commercial nonprobability surveys. Finally, we consider Elliott’s discussion of solutions to the challenge raised in our study.
    Release date: 2024-06-25
  • 65. Comments by Aditi Sen on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100010
    Description: This discussion summarizes the interesting new findings around measurement errors in opt-in surveys by Kennedy, Mercer and Lau (KML). While KML enlighten readers about “bogus responding” and possible patterns in them, this discussion suggests combining these new-found results with other avenues of research in nonprobability sampling, such as improvement of representativeness.
    Release date: 2024-06-25
  • 66. Comments by Michael R. Elliott on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100011
    Description: Kennedy, Mercer, and Lau explore misreporting by respondents in non-probability samples and discover a new feature, namely that of deliberate misreporting of demographic characteristics. This finding suggests that the “arms race” between researchers and those determined to disrupt the practice of social science is not over and researchers need to account for such respondents if using high-quality probability surveys to help reduce error in non-probability samples.
    Release date: 2024-06-25
  • 67. Comments by J. Michael Brick on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100012
    Description: Nonprobability samples are quick and low-cost and have become popular for some types of survey research. Kennedy, Mercer and Lau examine data quality issues associated with opt-in nonprobability samples frequently used in the United States. They show that the estimates from these samples have serious problems that go beyond representativeness. A total survey error perspective is important for evaluating all types of surveys.
    Release date: 2024-06-25
  • 68. Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith
    Articles and reports: 12-001-X202400100013
    Description: Statistical approaches developed for nonprobability samples generally focus on nonrandom selection as the primary reason survey respondents might differ systematically from the target population. Well-established theory states that in these instances, by conditioning on the necessary auxiliary variables, selection can be rendered ignorable and survey estimates will be free of bias. But this logic rests on the assumption that measurement error is nonexistent or small. In this study we test this assumption in two ways. First, we use a large benchmarking study to identify subgroups for which errors in commercial, online nonprobability samples are especially large in ways that are unlikely due to selection effects. Then we present a follow-up study examining one cause of the large errors: bogus responding (i.e., survey answers that are fraudulent, mischievous or otherwise insincere). We find that bogus responding, particularly among respondents identifying as young or Hispanic, is a significant and widespread problem in commercial, online nonprobability samples, at least in the United States. This research highlights the need for statisticians working with commercial nonprobability samples to address bogus responding and issues of representativeness – not just the latter.
    Release date: 2024-06-25
  • 69. Preface to the special issue for papers presented at the 29th Morris Hansen Lecture on the use of nonprobability samples
    Articles and reports: 12-001-X202400100014
    Description: This paper is an introduction to the special issue on the use of nonprobability samples featuring three papers that were presented at the 29th Morris Hansen Lecture by Courtney Kennedy, Yan Li and Jean-François Beaumont.
    Release date: 2024-06-25
  • 70. Gender diversity of Canadian postsecondary students, 2021/2022
    Stats in brief: 11-627-M2024026
    Description: Using data from the Postsecondary Student Information System (PSIS) and the Census of Population, 2021, this infographic provides information on enrolment in Canadian public postsecondary institutions for transgender and non-binary people.
    Release date: 2024-06-25
Reference (1,895)

Reference (1,895) (40 to 50 of 1,895 results)

  • 41. Canadian Index of Multiple Deprivation: User Guide, 2021
    Surveys and statistical programs – Documentation: 45-20-00012023002
    Description: The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which uses Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.

    The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.
    Release date: 2023-11-10
  • 42. Statistics Canada Fees Report
    Notices and consultations: 89-26-0001
    Description: The Fees Report must be tabled in parliament annually, as per the Service Fees Act, which came into force in June 2017. The Service Fees Act introduces a modern legislative framework that enables cost-effective delivery of services and, through enhanced reporting to Parliament, improved transparency and oversight.
    Release date: 2023-11-09
  • 43. Departmental Results Report
    Notices and consultations: 11-628-X
    Description: Departmental Results Reports (DRRs) are part of the Estimates family of documents. Estimates documents support appropriation acts, which specify the amounts and broad purposes for which funds can be spent by the government. The Estimates document family has three parts.

    Part I (Government Expenditure Plan) provides an overview of federal spending.

    Part II (Main Estimates) lists the financial resources required by individual departments, agencies and Crown corporations for the upcoming fiscal year.

    Part III (Departmental Expenditure Plans) consists of two documents. Departmental Plans (DPs) are expenditure plans for each appropriated department and agency (excluding Crown corporations).

    Release date: 2023-11-09
  • 44. Supply and Use Tables
    Surveys and statistical programs – Documentation: 15-602-X
    Description: With the 2015 comprehensive revision, the Canadian System of Macroeconomic Accounts (CSMA) has introduced a major presentational change to the national and the provincial and territorial input-output tables. The previous CSMA input-output presentation differed from the international standard and the practice found in most national statistical organizations. The CSMA has aligned its presentation with the international standard and replaces the presentation found in catalogues 15F0041X and 15F0042X, as well as 15F0002X.
    Release date: 2023-11-08
  • 45. Labour Force Survey Response Rates, September 2023
    Surveys and statistical programs – Documentation: 75-005-M2023001
    Description: This document provides information on the evolution of response rates for the Labour Force Survey (LFS) and a discussion of the evaluation of two aspects of data quality that ensure the LFS estimates continue providing an accurate portrait of the Canadian labour market.
    Release date: 2023-10-30
  • 46. Environmental Statistics: Boundary Files
    Geographic files and documentation: 16-510-X
    Description: This product contains boundary files and user documentation for environmental analysis using geographical information systems (GIS).
    Release date: 2023-10-27
  • 47. Contiguously Settled Areas: Boundaries and User Documentation
    Geographic files and documentation: 16-510-X2023001
    Description: This product contains contiguously settled area (CSA) boundaries for a subset of Canadian population centres for 2010 and 2020 with user documentation. The CSA boundaries are derived from land cover data and represent the geographic extent of settled areas based on their physical footprint on the landscape. The boundaries can be used for reference, mapping and spatial analysis of settled areas and urban ecosystems. The CSA boundaries are created and maintained under the umbrella of the Census of Environment, and will support Statistics Canada's ecosystem accounting efforts.
    Release date: 2023-10-27
  • 48. User Guide for the Survey of Household Spending, 2021
    Surveys and statistical programs – Documentation: 62F0026M2023001
    Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.
    Release date: 2023-10-18
  • 49. Sampling and Weighting Technical Report, Census of Population
    Surveys and statistical programs – Documentation: 98-306-X
    Description:

    This report describes sampling, weighting and estimation procedures used in the Census of Population. It provides operational and theoretical justifications for them, and presents the results of the evaluations of these procedures.

    Release date: 2023-10-04
  • 50. Methods for Constructing Life Tables for Canada, Provinces and Territories
    Surveys and statistical programs – Documentation: 84-538-X
    Geography: Canada
    Description: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.
    Release date: 2023-08-28
Report a problem or mistake on this page
Date modified:

Search help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Sort help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.