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All (9) ((9 results))

  • Notices and consultations: 92-140-X2016001
    Description:

    The 2016 Census Program Content Test was conducted from May 2 to June 30, 2014. The Test was designed to assess the impact of any proposed content changes to the 2016 Census Program and to measure the impact of including a social insurance number (SIN) question on the data quality.

    This quantitative test used a split-panel design involving 55,000 dwellings, divided into 11 panels of 5,000 dwellings each: five panels were dedicated to the Content Test while the remaining six panels were for the SIN Test. Two models of test questionnaires were developed to meet the objectives, namely a model with all the proposed changes EXCEPT the SIN question and a model with all the proposed changes INCLUDING the SIN question. A third model of 'control' questionnaire with the 2011 content was also developed. The population living in a private dwelling in mail-out areas in one of the ten provinces was targeted for the test. Paper and electronic response channels were part of the Test as well.

    This report presents the Test objectives, the design and a summary of the analysis in order to determine potential content for the 2016 Census Program. Results from the data analysis of the Test were not the only elements used to determine the content for 2016. Other elements were also considered, such as response burden, comparison over time and users’ needs.

    Release date: 2016-04-01

  • Articles and reports: 12-001-X201300211871
    Description:

    Regression models are routinely used in the analysis of survey data, where one common issue of interest is to identify influential factors that are associated with certain behavioral, social, or economic indices within a target population. When data are collected through complex surveys, the properties of classical variable selection approaches developed in i.i.d. non-survey settings need to be re-examined. In this paper, we derive a pseudo-likelihood-based BIC criterion for variable selection in the analysis of survey data and suggest a sample-based penalized likelihood approach for its implementation. The sampling weights are appropriately assigned to correct the biased selection result caused by the distortion between the sample and the target population. Under a joint randomization framework, we establish the consistency of the proposed selection procedure. The finite-sample performance of the approach is assessed through analysis and computer simulations based on data from the hypertension component of the 2009 Survey on Living with Chronic Diseases in Canada.

    Release date: 2014-01-15

  • Articles and reports: 11-522-X200800010950
    Description:

    The next census will be conducted in May 2011. Being a major survey, it presents a formidable challenge for Statistics Canada and requires a great deal of time and resources. Careful planning has been done to ensure that all deadlines are met. A number of steps have been planned in the questionnaire testing process. These tests apply to both census content and the proposed communications strategy. This paper presents an overview of the strategy, with a focus on combining qualitative studies with the 2008 quantitative study so that the results can be analyzed and the proposals properly evaluated.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010994
    Description:

    The growing difficulty of reaching respondents has a general impact on non-response in telephone surveys, especially those that use random digit dialling (RDD), such as the General Social Survey (GSS). The GSS is an annual multipurpose survey with 25,000 respondents. Its aim is to monitor the characteristics of and major changes in Canada's social structure. GSS Cycle 21 (2007) was about the family, social support and retirement. Its target population consisted of persons aged 45 and over living in the 10 Canadian provinces. For more effective coverage, part of the sample was taken from a follow-up with the respondents of GSS Cycle 20 (2006), which was on family transitions. The remainder was a new RDD sample. In this paper, we describe the survey's sampling plan and the random digit dialling method used. Then we discuss the challenges of calculating the non-response rate in an RDD survey that targets a subset of a population, for which the in-scope population must be estimated or modelled. This is done primarily through the use of paradata. The methodology used in GSS Cycle 21 is presented in detail.

    Release date: 2009-12-03

  • Stats in brief: 89-628-X2007001
    Geography: Canada
    Description:

    The Participation and Activity Limitation Survey (PALS) is Canada's national survey that gathers information about adults and children whose daily activities are limited by a physical, mental, or other health-related condition or problem.

    This report presents some basic information about the survey and an overview of the methodological and content changes between the 2001 and 2006 PALS. The major difference involves a change in coverage resulting from the inclusion of a number of aboriginal communities, the addition of the three territories, and the modification to the definition of collective dwellings.

    Release date: 2007-12-03

  • Journals and periodicals: 85F0036X
    Geography: Canada
    Description:

    This study documents the methodological and technical challenges that are involved in performing analysis on small groups using a sample survey, oversampling, response rate, non-response rate due to language, release feasibility and sampling variability. It is based on the 1999 General Social Survey (GSS) on victimization.

    Release date: 2002-05-14

  • Articles and reports: 11F0019M2001158
    Geography: Canada
    Description:

    Several recent papers have cited non-linearities in the relationship between incomes of parents and their children as evidence of important intergenerational credit constraints. This paper argues that any pattern in the conditional expectation function can be justified by a properly constructed story with credit constraints. This raises questions about the validity of the approach. Quantile regressions provide an alternative test. Using data from Canadian tax files, this paper finds results contrary to the credit constraints hypothesis; the non-linearities in the regression function are driven by the low-ability (unconstrained) sons rather than high-ability (presumably constrained) sons.

    Release date: 2001-01-30

  • Articles and reports: 11F0019M2000144
    Geography: Canada
    Description:

    In this paper, we revisit trends in low-income among Canadian children by taking advantage of recent developments in the measurement of low-income intensity. We focus in particular on the Sen-Shorrocks-Thon (SST) index and its elaboration by Osberg and Xu. Low-income intensity declined in the 1980s but rose in the 1990s. Declining earnings put upward pressure on low-income levels over much of the period. Higher transfers more than offset this pressure in the 1980s and continued to absorb a substantial share of the increase through 1993. In contrast, the rise in low-income intensity after 1993 reflected reductions in UI and social assistance benefits that were not offset by increased employment earnings, at least to 1996 the latest year used in this paper.

    A major aim of the paper is methodological. We contrast results using the SST index with results produced by the more familiar low-income rate, the usual measure for indexing low-income trends. The low-income rate is embedded in the SST index, but unlike the index, the rate incorporates only partial information on the distribution of low-income. Consequently, the low-income rate is generally unable to detect the changes we describe and this is true irrespective of the choice of low-income cut-off. Compared to the low-income intensity measure, the rate is also relatively insensitive to changes in transfer payments and employment earnings.

    Release date: 2000-03-30

  • Surveys and statistical programs – Documentation: 11-522-X19990015670
    Description:

    To reach their target audience efficiently, advertisers and media planners need information on which media their customers use. For instance, they may need to know what percentage of Diet Coke drinkers watch Baywatch, or how many AT&T customers have seen an advertisement for Sprint during the last week. All the relevant data could theoretically be collected from each respondent. However, obtaining full detailed and accurate information would be very expensive. It would also impose a heavy respondent burden under current data collection technology. This information is currently collected through separate surveys in New Zealand and in many other countries. Exposure to the major media is measured continuously, and product usage studies are common. Statistical matching techniques provide a way of combining these separate information sources. The New Zealand television ratings database was combined with a syndicated survey of print readership and product usage, using statistical matching. The resulting Panorama service meets the targeting information needs of advertisers and media planners. It has since been duplicated in Australia. This paper discusses the development of the statistical matching framework for combining these databases, and the heuristics and techniques used. These included an experiment conducted using a screening design to identify important matching variables. Studies evaluating and validating the combined results are also summarized. The following three major evaluation criteria were used; accuracy of combined results, statibility of combined results and the preservation of currency results from the component databases. The paper then discusses how the prerequisites for combining the databases were met. The biggest hurdle at this stage was the differences between the analysis techniques used on the two component databases. Finally, suggestions for developing similar statistical matching systems elsewhere will be given.

    Release date: 2000-03-02
Data (0)

Data (0) (0 results)

No content available at this time.

Analysis (7)

Analysis (7) ((7 results))

  • Articles and reports: 12-001-X201300211871
    Description:

    Regression models are routinely used in the analysis of survey data, where one common issue of interest is to identify influential factors that are associated with certain behavioral, social, or economic indices within a target population. When data are collected through complex surveys, the properties of classical variable selection approaches developed in i.i.d. non-survey settings need to be re-examined. In this paper, we derive a pseudo-likelihood-based BIC criterion for variable selection in the analysis of survey data and suggest a sample-based penalized likelihood approach for its implementation. The sampling weights are appropriately assigned to correct the biased selection result caused by the distortion between the sample and the target population. Under a joint randomization framework, we establish the consistency of the proposed selection procedure. The finite-sample performance of the approach is assessed through analysis and computer simulations based on data from the hypertension component of the 2009 Survey on Living with Chronic Diseases in Canada.

    Release date: 2014-01-15

  • Articles and reports: 11-522-X200800010950
    Description:

    The next census will be conducted in May 2011. Being a major survey, it presents a formidable challenge for Statistics Canada and requires a great deal of time and resources. Careful planning has been done to ensure that all deadlines are met. A number of steps have been planned in the questionnaire testing process. These tests apply to both census content and the proposed communications strategy. This paper presents an overview of the strategy, with a focus on combining qualitative studies with the 2008 quantitative study so that the results can be analyzed and the proposals properly evaluated.

    Release date: 2009-12-03

  • Articles and reports: 11-522-X200800010994
    Description:

    The growing difficulty of reaching respondents has a general impact on non-response in telephone surveys, especially those that use random digit dialling (RDD), such as the General Social Survey (GSS). The GSS is an annual multipurpose survey with 25,000 respondents. Its aim is to monitor the characteristics of and major changes in Canada's social structure. GSS Cycle 21 (2007) was about the family, social support and retirement. Its target population consisted of persons aged 45 and over living in the 10 Canadian provinces. For more effective coverage, part of the sample was taken from a follow-up with the respondents of GSS Cycle 20 (2006), which was on family transitions. The remainder was a new RDD sample. In this paper, we describe the survey's sampling plan and the random digit dialling method used. Then we discuss the challenges of calculating the non-response rate in an RDD survey that targets a subset of a population, for which the in-scope population must be estimated or modelled. This is done primarily through the use of paradata. The methodology used in GSS Cycle 21 is presented in detail.

    Release date: 2009-12-03

  • Stats in brief: 89-628-X2007001
    Geography: Canada
    Description:

    The Participation and Activity Limitation Survey (PALS) is Canada's national survey that gathers information about adults and children whose daily activities are limited by a physical, mental, or other health-related condition or problem.

    This report presents some basic information about the survey and an overview of the methodological and content changes between the 2001 and 2006 PALS. The major difference involves a change in coverage resulting from the inclusion of a number of aboriginal communities, the addition of the three territories, and the modification to the definition of collective dwellings.

    Release date: 2007-12-03

  • Journals and periodicals: 85F0036X
    Geography: Canada
    Description:

    This study documents the methodological and technical challenges that are involved in performing analysis on small groups using a sample survey, oversampling, response rate, non-response rate due to language, release feasibility and sampling variability. It is based on the 1999 General Social Survey (GSS) on victimization.

    Release date: 2002-05-14

  • Articles and reports: 11F0019M2001158
    Geography: Canada
    Description:

    Several recent papers have cited non-linearities in the relationship between incomes of parents and their children as evidence of important intergenerational credit constraints. This paper argues that any pattern in the conditional expectation function can be justified by a properly constructed story with credit constraints. This raises questions about the validity of the approach. Quantile regressions provide an alternative test. Using data from Canadian tax files, this paper finds results contrary to the credit constraints hypothesis; the non-linearities in the regression function are driven by the low-ability (unconstrained) sons rather than high-ability (presumably constrained) sons.

    Release date: 2001-01-30

  • Articles and reports: 11F0019M2000144
    Geography: Canada
    Description:

    In this paper, we revisit trends in low-income among Canadian children by taking advantage of recent developments in the measurement of low-income intensity. We focus in particular on the Sen-Shorrocks-Thon (SST) index and its elaboration by Osberg and Xu. Low-income intensity declined in the 1980s but rose in the 1990s. Declining earnings put upward pressure on low-income levels over much of the period. Higher transfers more than offset this pressure in the 1980s and continued to absorb a substantial share of the increase through 1993. In contrast, the rise in low-income intensity after 1993 reflected reductions in UI and social assistance benefits that were not offset by increased employment earnings, at least to 1996 the latest year used in this paper.

    A major aim of the paper is methodological. We contrast results using the SST index with results produced by the more familiar low-income rate, the usual measure for indexing low-income trends. The low-income rate is embedded in the SST index, but unlike the index, the rate incorporates only partial information on the distribution of low-income. Consequently, the low-income rate is generally unable to detect the changes we describe and this is true irrespective of the choice of low-income cut-off. Compared to the low-income intensity measure, the rate is also relatively insensitive to changes in transfer payments and employment earnings.

    Release date: 2000-03-30
Reference (2)

Reference (2) ((2 results))

  • Notices and consultations: 92-140-X2016001
    Description:

    The 2016 Census Program Content Test was conducted from May 2 to June 30, 2014. The Test was designed to assess the impact of any proposed content changes to the 2016 Census Program and to measure the impact of including a social insurance number (SIN) question on the data quality.

    This quantitative test used a split-panel design involving 55,000 dwellings, divided into 11 panels of 5,000 dwellings each: five panels were dedicated to the Content Test while the remaining six panels were for the SIN Test. Two models of test questionnaires were developed to meet the objectives, namely a model with all the proposed changes EXCEPT the SIN question and a model with all the proposed changes INCLUDING the SIN question. A third model of 'control' questionnaire with the 2011 content was also developed. The population living in a private dwelling in mail-out areas in one of the ten provinces was targeted for the test. Paper and electronic response channels were part of the Test as well.

    This report presents the Test objectives, the design and a summary of the analysis in order to determine potential content for the 2016 Census Program. Results from the data analysis of the Test were not the only elements used to determine the content for 2016. Other elements were also considered, such as response burden, comparison over time and users’ needs.

    Release date: 2016-04-01

  • Surveys and statistical programs – Documentation: 11-522-X19990015670
    Description:

    To reach their target audience efficiently, advertisers and media planners need information on which media their customers use. For instance, they may need to know what percentage of Diet Coke drinkers watch Baywatch, or how many AT&T customers have seen an advertisement for Sprint during the last week. All the relevant data could theoretically be collected from each respondent. However, obtaining full detailed and accurate information would be very expensive. It would also impose a heavy respondent burden under current data collection technology. This information is currently collected through separate surveys in New Zealand and in many other countries. Exposure to the major media is measured continuously, and product usage studies are common. Statistical matching techniques provide a way of combining these separate information sources. The New Zealand television ratings database was combined with a syndicated survey of print readership and product usage, using statistical matching. The resulting Panorama service meets the targeting information needs of advertisers and media planners. It has since been duplicated in Australia. This paper discusses the development of the statistical matching framework for combining these databases, and the heuristics and techniques used. These included an experiment conducted using a screening design to identify important matching variables. Studies evaluating and validating the combined results are also summarized. The following three major evaluation criteria were used; accuracy of combined results, statibility of combined results and the preservation of currency results from the component databases. The paper then discusses how the prerequisites for combining the databases were met. The biggest hurdle at this stage was the differences between the analysis techniques used on the two component databases. Finally, suggestions for developing similar statistical matching systems elsewhere will be given.

    Release date: 2000-03-02
Date modified: