Quality assurance

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  • Surveys and statistical programs – Documentation: 92-382-X
    Description:

    This report discusses data quality pertaining to household variables (tenure, household maintainer, owner's major payments and gross rent) and dwelling characteristics (structural type of dwelling, number of rooms, number of bedrooms, period of construction, condition of dwelling and value of dwelling). The report also describes the various aspects of data processing that could impact data quality.

    Release date: 2003-12-18

  • Surveys and statistical programs – Documentation: 62F0026M2003001
    Description:

    This report describes the quality indicators produced for the 2001 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates.

    Release date: 2003-11-26

  • Articles and reports: 92F0138M2003001
    Description:

    The goal of this working paper is to assess how well Canada's current method of delineating Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs) reflects the metropolitan nature of these geographic areas according to the facilities and services they provide. The effectiveness of Canada's delineation methodology can be evaluated by applying a functional model to Statistics Canada's CMAs and CAs.

    As a consequence of the research undertaken for this working paper, Statistics Canada has proposed lowering the urban core population threshold it uses to define CMAs: a CA will be promoted to a CMA if it has a total population of at least 100,000, of which 50,000 or more live in the urban core. User consultation on this proposal took place in the fall of 2002 as part of the 2006 Census content determination process.

    Release date: 2003-03-31

  • Articles and reports: 12-001-X20020026423
    Description:

    The reputation of a national statistical office (NSO) depends very much on the quality of the service it provides. Quality has to be a core value: providing a high quality service has to be the natural way of doing business. It has to be embedded in the culture of the NSO.

    The paper will outline what is meant by a high quality statistical service. It will also explore those factors that are important to ensuring a quality culture in an NSO. In particular, it will outline the activities and experiences of the Australian Bureau of Statistics in maintaining a quality culture.

    Release date: 2003-01-29
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  • Articles and reports: 92F0138M2003001
    Description:

    The goal of this working paper is to assess how well Canada's current method of delineating Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs) reflects the metropolitan nature of these geographic areas according to the facilities and services they provide. The effectiveness of Canada's delineation methodology can be evaluated by applying a functional model to Statistics Canada's CMAs and CAs.

    As a consequence of the research undertaken for this working paper, Statistics Canada has proposed lowering the urban core population threshold it uses to define CMAs: a CA will be promoted to a CMA if it has a total population of at least 100,000, of which 50,000 or more live in the urban core. User consultation on this proposal took place in the fall of 2002 as part of the 2006 Census content determination process.

    Release date: 2003-03-31

  • Articles and reports: 12-001-X20020026423
    Description:

    The reputation of a national statistical office (NSO) depends very much on the quality of the service it provides. Quality has to be a core value: providing a high quality service has to be the natural way of doing business. It has to be embedded in the culture of the NSO.

    The paper will outline what is meant by a high quality statistical service. It will also explore those factors that are important to ensuring a quality culture in an NSO. In particular, it will outline the activities and experiences of the Australian Bureau of Statistics in maintaining a quality culture.

    Release date: 2003-01-29
Reference (2)

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  • Surveys and statistical programs – Documentation: 92-382-X
    Description:

    This report discusses data quality pertaining to household variables (tenure, household maintainer, owner's major payments and gross rent) and dwelling characteristics (structural type of dwelling, number of rooms, number of bedrooms, period of construction, condition of dwelling and value of dwelling). The report also describes the various aspects of data processing that could impact data quality.

    Release date: 2003-12-18

  • Surveys and statistical programs – Documentation: 62F0026M2003001
    Description:

    This report describes the quality indicators produced for the 2001 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates.

    Release date: 2003-11-26
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