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  • Articles and reports: 82-003-X200800410703
    Geography: Canada
    Description:

    Data from 16,190 respondents to the 2004 Canadian Community Health Survey - Nutrition were used to estimate under-reporting of food intake for the population aged 12 or older in the 10 provinces.

    Release date: 2008-10-15

  • Articles and reports: 82-003-X200800310680
    Geography: Canada
    Description:

    This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.

    Release date: 2008-09-17

  • Surveys and statistical programs – Documentation: 75F0002M2008005
    Description:

    The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes. Sample surveys are subject to sampling errors. In order to consider these errors, each estimates presented in the "Income Trends in Canada" series comes with a quality indicator based on the coefficient of variation. However, other factors must also be considered to make sure data are properly used. Statistics Canada puts considerable time and effort to control errors at every stage of the survey and to maximise the fitness for use. Nevertheless, the survey design and the data processing could restrict the fitness for use. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes the set of quality measures of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.

    Release date: 2008-08-20

  • Articles and reports: 82-622-X2008001
    Geography: Canada
    Description:

    In this study, I examine the factorial validity of selected modules from the Canadian Survey of Experiences with Primary Health Care (CSE-PHC), in order to determine the potential for combining the items within each module into summary indices representing global primary health care concepts. The modules examined were: Patient Assessment of Chronic Illness Care (PACIC), Patient Activation (PA), Managing Own Health Care (MOHC), and Confidence in the Health Care System (CHCS). Confirmatory factor analyses were conducted on each module to assess the degree to which multiple observed items reflected the presence of common latent factors. While a four-factor model was initially specified for the PACIC instrument on the basis of priory theory and research, it did not fit the data well; rather, a revised two-factor model was found to be most appropriate. These two factors were labelled: "Whole Person Care" and "Coordination of Care". The remaining modules studied here (i.e., PA, MOHC, and CHCS) were all well-represented by single-factor models. The results suggest that the original factor structure of the PACIC developed within studies using clinical samples does not hold in general populations, although the precise reasons for this are not clear. Further empirical investigation will be required to shed more light on this discrepancy. The two factors identified here for the PACIC, as well as the single factors produced for the PA, MOHC, and CHCS could be used as the basis of summary indices for use in further analyses with the CSE-PHC.

    Release date: 2008-07-08

  • Articles and reports: 11-522-X200600110397
    Description:

    In practice it often happens that some collected data are subject to measurement error. Sometimes covariates (or risk factors) of interest may be difficult to observe precisely due to physical location or cost. Sometimes it is impossible to measure covariates accurately due to the nature of the covariates. In other situations, a covariate may represent an average of a certain quantity over time, and any practical way of measuring such a quantity necessarily features measurement error. When carrying out statistical inference in such settings, it is important to account for the effects of mismeasured covariates; otherwise, erroneous or even misleading results may be produced. In this paper, we discuss several measurement error examples arising in distinct contexts. Specific attention is focused on survival data with covariates subject to measurement error. We discuss a simulation-extrapolation method for adjusting for measurement error effects. A simulation study is reported.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110421
    Description:

    In an effort to increase response rates and decrease costs, many survey operations have begun to use several modes to collect relevant data. While the National Health Interview Survey (NHIS), a multipurpose household health survey conducted annually by the National Center for Health Statistics, Centers for Disease Control and Prevention, is primarily a face-to-face survey, interviewers also rely on the telephone to complete some interviews. This has raised questions about the quality of resulting data. To address these questions, data from the 2005 NHIS are used to analyze the impact of mode on eight key health indicators.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110450
    Description:

    Using survey and contact attempt history data collected with the 2005 National Health Interview Survey (NHIS), a multi-purpose health survey conducted by the National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC), we set out to explore the impact of participant concerns/reluctance on data quality, as measured by rates of partially complete interviews and item nonresponse. Overall, results show that respondents from households where some type of concern or reluctance (e.g., "too busy," "not interested") was expressed produced higher rates of partially complete interviews and item nonresponse than respondents from households where concern/reluctance was not expressed. Differences by type of concern were also identified.

    Release date: 2008-03-17

  • Articles and reports: 75F0002M1992004
    Description:

    The accurate measurement of job search and unemployment has been a recurring problem in retrospective surveys. However, strategies to improve recall in such surveys have not been especially successful. Proposed solutions have included a) reducing the recall period and b) questioning whether the standard operationalization of labour force concepts is appropriate in a retrospective setting.

    One difficulty in arriving at an appropriate line of questioning is that there does not exist a reliable benchmark source indicating what sort of search patterns one should be observing over the year. Current notions of labour force dynamics have been heavily influenced by linked-record gross change data, which for various reasons cannot be considered a reliable source. These data show numerous changes in status from month-to-month and generally paint a picture of labour force participation that suggests little behavioural consistency.

    This study examines data from the Annual Work Patterns Survey (AWPS) and Labour Market Activity Survey (LMAS). It shows that the underreporting of job search in the AWPS (and to a lesser extent in the LMAS) is closely connected to the failure of respondents, in a significant number of cases, to report any job search prior to the start of a job, a problem for which there is a simple questionnaire solution.

    Release date: 2008-02-29

  • Articles and reports: 75F0002M1992008
    Description:

    This paper, as part of the design development process for the Survey of Labour and Income Dynamics (SLID), examines the implications for data quality of accepting proxy responses. While it is apparent that rules that minimize proxy responses add to data collection costs, a review of the existing evidence suggests the effects of proxy reporting on data quality are less clear. The general conclusions of this review are that proxy respondents tended to underestimate participation in government income support programs, be subject to higher item non-response rates and lower rates of personal and household interviews, offer more consistent responses to sensitive subject matter and have greater difficulty in reporting detail and events of short duration. As a result of shortcomings in the design of the research into this question, the evidence is not conclusive. While there is no firm basis for the rejection of proxy responses, the maintenance of some control over proxy responses would be a reasonable strategy.

    Release date: 2008-02-29
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Analysis (8)

Analysis (8) ((8 results))

  • Articles and reports: 82-003-X200800410703
    Geography: Canada
    Description:

    Data from 16,190 respondents to the 2004 Canadian Community Health Survey - Nutrition were used to estimate under-reporting of food intake for the population aged 12 or older in the 10 provinces.

    Release date: 2008-10-15

  • Articles and reports: 82-003-X200800310680
    Geography: Canada
    Description:

    This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.

    Release date: 2008-09-17

  • Articles and reports: 82-622-X2008001
    Geography: Canada
    Description:

    In this study, I examine the factorial validity of selected modules from the Canadian Survey of Experiences with Primary Health Care (CSE-PHC), in order to determine the potential for combining the items within each module into summary indices representing global primary health care concepts. The modules examined were: Patient Assessment of Chronic Illness Care (PACIC), Patient Activation (PA), Managing Own Health Care (MOHC), and Confidence in the Health Care System (CHCS). Confirmatory factor analyses were conducted on each module to assess the degree to which multiple observed items reflected the presence of common latent factors. While a four-factor model was initially specified for the PACIC instrument on the basis of priory theory and research, it did not fit the data well; rather, a revised two-factor model was found to be most appropriate. These two factors were labelled: "Whole Person Care" and "Coordination of Care". The remaining modules studied here (i.e., PA, MOHC, and CHCS) were all well-represented by single-factor models. The results suggest that the original factor structure of the PACIC developed within studies using clinical samples does not hold in general populations, although the precise reasons for this are not clear. Further empirical investigation will be required to shed more light on this discrepancy. The two factors identified here for the PACIC, as well as the single factors produced for the PA, MOHC, and CHCS could be used as the basis of summary indices for use in further analyses with the CSE-PHC.

    Release date: 2008-07-08

  • Articles and reports: 11-522-X200600110397
    Description:

    In practice it often happens that some collected data are subject to measurement error. Sometimes covariates (or risk factors) of interest may be difficult to observe precisely due to physical location or cost. Sometimes it is impossible to measure covariates accurately due to the nature of the covariates. In other situations, a covariate may represent an average of a certain quantity over time, and any practical way of measuring such a quantity necessarily features measurement error. When carrying out statistical inference in such settings, it is important to account for the effects of mismeasured covariates; otherwise, erroneous or even misleading results may be produced. In this paper, we discuss several measurement error examples arising in distinct contexts. Specific attention is focused on survival data with covariates subject to measurement error. We discuss a simulation-extrapolation method for adjusting for measurement error effects. A simulation study is reported.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110421
    Description:

    In an effort to increase response rates and decrease costs, many survey operations have begun to use several modes to collect relevant data. While the National Health Interview Survey (NHIS), a multipurpose household health survey conducted annually by the National Center for Health Statistics, Centers for Disease Control and Prevention, is primarily a face-to-face survey, interviewers also rely on the telephone to complete some interviews. This has raised questions about the quality of resulting data. To address these questions, data from the 2005 NHIS are used to analyze the impact of mode on eight key health indicators.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110450
    Description:

    Using survey and contact attempt history data collected with the 2005 National Health Interview Survey (NHIS), a multi-purpose health survey conducted by the National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC), we set out to explore the impact of participant concerns/reluctance on data quality, as measured by rates of partially complete interviews and item nonresponse. Overall, results show that respondents from households where some type of concern or reluctance (e.g., "too busy," "not interested") was expressed produced higher rates of partially complete interviews and item nonresponse than respondents from households where concern/reluctance was not expressed. Differences by type of concern were also identified.

    Release date: 2008-03-17

  • Articles and reports: 75F0002M1992004
    Description:

    The accurate measurement of job search and unemployment has been a recurring problem in retrospective surveys. However, strategies to improve recall in such surveys have not been especially successful. Proposed solutions have included a) reducing the recall period and b) questioning whether the standard operationalization of labour force concepts is appropriate in a retrospective setting.

    One difficulty in arriving at an appropriate line of questioning is that there does not exist a reliable benchmark source indicating what sort of search patterns one should be observing over the year. Current notions of labour force dynamics have been heavily influenced by linked-record gross change data, which for various reasons cannot be considered a reliable source. These data show numerous changes in status from month-to-month and generally paint a picture of labour force participation that suggests little behavioural consistency.

    This study examines data from the Annual Work Patterns Survey (AWPS) and Labour Market Activity Survey (LMAS). It shows that the underreporting of job search in the AWPS (and to a lesser extent in the LMAS) is closely connected to the failure of respondents, in a significant number of cases, to report any job search prior to the start of a job, a problem for which there is a simple questionnaire solution.

    Release date: 2008-02-29

  • Articles and reports: 75F0002M1992008
    Description:

    This paper, as part of the design development process for the Survey of Labour and Income Dynamics (SLID), examines the implications for data quality of accepting proxy responses. While it is apparent that rules that minimize proxy responses add to data collection costs, a review of the existing evidence suggests the effects of proxy reporting on data quality are less clear. The general conclusions of this review are that proxy respondents tended to underestimate participation in government income support programs, be subject to higher item non-response rates and lower rates of personal and household interviews, offer more consistent responses to sensitive subject matter and have greater difficulty in reporting detail and events of short duration. As a result of shortcomings in the design of the research into this question, the evidence is not conclusive. While there is no firm basis for the rejection of proxy responses, the maintenance of some control over proxy responses would be a reasonable strategy.

    Release date: 2008-02-29
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 75F0002M2008005
    Description:

    The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes. Sample surveys are subject to sampling errors. In order to consider these errors, each estimates presented in the "Income Trends in Canada" series comes with a quality indicator based on the coefficient of variation. However, other factors must also be considered to make sure data are properly used. Statistics Canada puts considerable time and effort to control errors at every stage of the survey and to maximise the fitness for use. Nevertheless, the survey design and the data processing could restrict the fitness for use. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes the set of quality measures of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.

    Release date: 2008-08-20
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