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- Surveys and statistical programs – Documentation: 75F0002M2008005Description: 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
- 2. The U.S. National Health and Nutrition Examination Survey: what forty years of experience has taught us ArchivedArticles and reports: 11-522-X200600110413Description:
The National Health and Nutrition Examination Survey (NHANES) has been conducted by the National Center for Health Statistics for over forty years. The survey collects information on the health and nutritional status of the United States population using in-person interviews and standardized physical examinations conducted in mobile examination centers. During the course of these forty years, numerous lessons have been learned about the conduct of a survey using direct physical measures. Examples of these "lessons learned" are described and provide a guide for other organizations and countries as they plan similar surveys.
Release date: 2008-03-17 - Articles and reports: 11-522-X200600110450Description:
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 - 4. Self/Proxy Respondent Rules and Data Quality ArchivedArticles and reports: 75F0002M1992008Description:
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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- 1. The U.S. National Health and Nutrition Examination Survey: what forty years of experience has taught us ArchivedArticles and reports: 11-522-X200600110413Description:
The National Health and Nutrition Examination Survey (NHANES) has been conducted by the National Center for Health Statistics for over forty years. The survey collects information on the health and nutritional status of the United States population using in-person interviews and standardized physical examinations conducted in mobile examination centers. During the course of these forty years, numerous lessons have been learned about the conduct of a survey using direct physical measures. Examples of these "lessons learned" are described and provide a guide for other organizations and countries as they plan similar surveys.
Release date: 2008-03-17 - Articles and reports: 11-522-X200600110450Description:
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 - 3. Self/Proxy Respondent Rules and Data Quality ArchivedArticles and reports: 75F0002M1992008Description:
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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- Surveys and statistical programs – Documentation: 75F0002M2008005Description: 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