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  • 1. Charting change: How time-series data provides insights on Canadian well-being
    Articles and reports: 75-006-X202400100007
    Description: This study uses data from multiple waves of the Canadian Social Survey (CSS) to examine trends in three key Quality of Life indicators, namely life satisfaction, experiences of financial hardship, and future outlook. Monitoring these well-being indicators following periods of considerable social and economic change is particularly important. Beginning in the summer of 2021, the CSS, a new quarterly survey, captured the latter part of the COVID-19 pandemic as well as the rising cost of living in Canada, allowing for an understanding of how Canadians are coping with these challenges.
    Release date: 2024-09-13
  • 2. Charting changes in Canadians’ mental and financial well-being, 2021 to 2024
    Stats in brief: 11-627-M2024033
    Description: This infographic examines declines in Canadians’ well-being over the past few years, and how these downward changes vary across different segments of the population. Life satisfaction, financial difficulty, and future outlook, which are key quality of life indicators, are presented.
    Release date: 2024-09-13
  • 3. Industrial capacity utilization rates second quarter 2024
    Stats in brief: 11-001-X20242573309
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-13
  • 4. Wholesale trade July 2024
    Stats in brief: 11-001-X20242573647
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-13
  • 5. Study: Charting change: How time-series data provides insights on Canadian well-being
    Stats in brief: 11-001-X202425738424
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-13
  • 6. Statistics Canada - Infographics
    Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2024-09-13
  • 7. Insights on Canadian Society
    Journals and periodicals: 75-006-X
    Geography: Canada
    Description: This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.
    Release date: 2024-09-13
  • 8. Analysis on expected use of artificial intelligence by businesses in Canada, third quarter of 2024
    Articles and reports: 11-621-M2024013
    Description: This article explores how businesses plan to use AI over the next 12 months and the types of AI they intend to use when producing goods or delivering services. It also explores how businesses expect AI to affect their employment levels, what operational changes they anticipate over the next 12 months and why some are choosing not to use AI. It involves an examination of the data produced by the Canadian Survey on Business Conditions.
    Release date: 2024-09-12
  • 9. Building permits July 2024
    Stats in brief: 11-001-X20242563592
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-12
  • 10. National balance sheet and financial flow accounts second quarter 2024
    Stats in brief: 11-001-X20242565421
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-12
Stats in brief (2,693)

Stats in brief (2,693) (0 to 10 of 2,693 results)

Articles and reports (7,035)

Articles and reports (7,035) (50 to 60 of 7,035 results)

  • 51. 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
  • 52. 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
  • 53. 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
  • 54. 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
  • 55. 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
  • 56. Analysis on artificial intelligence use by businesses in Canada, second quarter of 2024
    Articles and reports: 11-621-M2024008
    Description: This article explores results from the survey related to the use of AI in producing goods and delivering services. Furthermore, this article explains the specific types of AI being used, such as machine learning, virtual agents and voice recognition, as well as the impact of AI adoption on tasks performed by employees and on employment levels. It involves an examination of the data produced by the Canadian Survey on Business Conditions.
    Release date: 2024-06-20
  • 57. The impacts of extreme heat events on non-accidental, cardiovascular, and respiratory mortality: An analysis of 12 Canadian cities from 2000 to 2020
    Articles and reports: 82-003-X202400600001
    Description: Extreme heat has significant impacts on mortality. In Canada, past research has analyzed the degree to which non-accidental mortality increases during single extreme heat events; however, few studies have considered multiple causes of death and the impacts of extreme heat events on mortality over longer time periods. This study analyzes the impacts of extreme heat events on nonaccidental, cardiovascular, and respiratory deaths from 2000 to 2020 in 12 of the largest cities in Canada.
    Release date: 2024-06-19
  • 58. Factors associated with the use of oral health care services among seniors in Canada
    Articles and reports: 82-003-X202400600002
    Description: Optimal oral health is an essential element of healthy aging. Oral health problems such as tooth loss, periodontal disease, and dry mouth accumulate throughout adult life and worsen with increasing age. Using data from the 2019/2020 Canadian Health Survey on Seniors, this study explores the link between dental insurance, income, and oral health care access among seniors (aged 65 and over) in Canada. It contributes to the understanding of oral health care among seniors before the implementation of the Canadian Dental Care Plan.
    Release date: 2024-06-19
  • 59. An Analysis of the 2024 Consumer Price Index Basket Update, Based on 2023 Expenditures
    Articles and reports: 62F0014M2024004
    Description: This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2024 basket update, based on 2023 expenditure weights.
    Release date: 2024-06-18
  • 60. Analysis on small businesses in Canada, second quarter of 2024
    Articles and reports: 11-621-M2024007
    Description: With the proportion of small businesses making up nearly all of the employer businesses in Canada, small businesses are an important role in employing Canadians and are a significant driver towards economic recovery. This article provides insights on the expectations of small businesses as well as the unique conditions faced by these businesses in the second quarter of 2024. It involves an examination of the data produced by the Canadian Survey on Business Conditions.
    Release date: 2024-06-13
Journals and periodicals (322)

Journals and periodicals (322) (320 to 330 of 322 results)

  • 321. Labour and Income Dynamics Archived
    Journals and periodicals: 75-002-X
    Description:

    A quarterly newsletter designed to keep data users and other interested persons broadly informed about the Survey of Labour and Income Dynamics. It provides updates on survey developments and issues as they arise. Every issue also includes a brief description of newly released documents in the SLID research paper series.

    Release date: 1997-09-09
  • 322. An Overview of the Differences Between Police-reported and Victim-reported Crime Archived
    Journals and periodicals: 85-542-X
    Geography: Canada
    Description:

    The purpose of this report is to reduce the level of confusion arising from the use of crime data originating from two very different sources (i.e., the Uniform Crime Reporting Survey - UCR and the General Social Survey - GSS) and to inform discussions about which is the better measure of crime. It explains why the findings based on these data sources diverge and summarizes the major differences between the two surveys.

    Release date: 1997-05-14
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