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- Selected: L (28)
Survey or statistical program
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All (28) (0 to 10 of 28 results)
- 1. Survey Quality ArchivedArticles and reports: 12-001-X201200211751Description:
Survey quality is a multi-faceted concept that originates from two different development paths. One path is the total survey error paradigm that rests on four pillars providing principles that guide survey design, survey implementation, survey evaluation, and survey data analysis. We should design surveys so that the mean squared error of an estimate is minimized given budget and other constraints. It is important to take all known error sources into account, to monitor major error sources during implementation, to periodically evaluate major error sources and combinations of these sources after the survey is completed, and to study the effects of errors on the survey analysis. In this context survey quality can be measured by the mean squared error and controlled by observations made during implementation and improved by evaluation studies. The paradigm has both strengths and weaknesses. One strength is that research can be defined by error sources and one weakness is that most total survey error assessments are incomplete in the sense that it is not possible to include the effects of all the error sources. The second path is influenced by ideas from the quality management sciences. These sciences concern business excellence in providing products and services with a focus on customers and competition from other providers. These ideas have had a great influence on many statistical organizations. One effect is the acceptance among data providers that product quality cannot be achieved without a sufficient underlying process quality and process quality cannot be achieved without a good organizational quality. These levels can be controlled and evaluated by service level agreements, customer surveys, paradata analysis using statistical process control, and organizational assessment using business excellence models or other sets of criteria. All levels can be improved by conducting improvement projects chosen by means of priority functions. The ultimate goal of improvement projects is that the processes involved should gradually approach a state where they are error-free. Of course, this might be an unattainable goal, albeit one to strive for. It is not realistic to hope for continuous measurements of the total survey error using the mean squared error. Instead one can hope that continuous quality improvement using management science ideas and statistical methods can minimize biases and other survey process problems so that the variance becomes an approximation of the mean squared error. If that can be achieved we have made the two development paths approximately coincide.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211757Description:
Collinearities among explanatory variables in linear regression models affect estimates from survey data just as they do in non-survey data. Undesirable effects are unnecessarily inflated standard errors, spuriously low or high t-statistics, and parameter estimates with illogical signs. The available collinearity diagnostics are not generally appropriate for survey data because the variance estimators they incorporate do not properly account for stratification, clustering, and survey weights. In this article, we derive condition indexes and variance decompositions to diagnose collinearity problems in complex survey data. The adapted diagnostics are illustrated with data based on a survey of health characteristics.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211758Description:
This paper develops two Bayesian methods for inference about finite population quantiles of continuous survey variables from unequal probability sampling. The first method estimates cumulative distribution functions of the continuous survey variable by fitting a number of probit penalized spline regression models on the inclusion probabilities. The finite population quantiles are then obtained by inverting the estimated distribution function. This method is quite computationally demanding. The second method predicts non-sampled values by assuming a smoothly-varying relationship between the continuous survey variable and the probability of inclusion, by modeling both the mean function and the variance function using splines. The two Bayesian spline-model-based estimators yield a desirable balance between robustness and efficiency. Simulation studies show that both methods yield smaller root mean squared errors than the sample-weighted estimator and the ratio and difference estimators described by Rao, Kovar, and Mantel (RKM 1990), and are more robust to model misspecification than the regression through the origin model-based estimator described in Chambers and Dunstan (1986). When the sample size is small, the 95% credible intervals of the two new methods have closer to nominal confidence coverage than the sample-weighted estimator.
Release date: 2012-12-19 - 4. The Growth of Large Firms in Canada ArchivedArticles and reports: 11-626-X2012021Geography: CanadaDescription:
This article in the Economic Insights series reports on the size distribution of Canadian firms compiled for the research paper Small, Medium-sized, and Large Businesses in the Canadian Economy: Measuring Their Contribution to Gross Domestic Product from 2001 to 2008. The creation of estimates of gross domestic product by firm size is part of a program at Statistics Canada that examines the structure of the Canadian economy and its evolution.
Release date: 2012-12-07 - Articles and reports: 11F0027M2012082Geography: CanadaDescription:
This paper adds to our understanding of the contributions made to the economy by small, medium-sized, and large businesses in Canada. It does this by examining the shares of gross domestic product (GDP) produced by each of these size groups in the business sector.
Previous studies relied predominately on employment, an input to the production process, rather than on a measure of output. This study overcomes this problem by focusing directly on GDP.
Release date: 2012-12-07 - 6. Iron sufficiency of Canadians ArchivedArticles and reports: 82-003-X201200411742Geography: CanadaDescription:
This study uses data from cycle 2 (2009 to 2011) of the Canadian Health Measures Survey to update estimates of the iron status of Canadians. These data allow for the examination of associations between selected socio-demographic and health variables and measures of iron status.
Release date: 2012-11-21 - Journals and periodicals: 89-651-XDescription:
This article presents employment and unemployment rates, and some information regarding salaries and industrial sectors of employees, for official-language minorities. These data are based on the Labour Force Survey and enable comparisons between official-language minority and majority according to their situation in the labour market for provinces or groups of provinces.
Release date: 2012-11-01 - 8. Immigrant languages in Canada ArchivedStats in brief: 98-314-X201100311724Geography: CanadaDescription:
These short analytical articles provide complementary analysis to the 2011 Census analytical document. These articles allow for a more in-depth look to relevant topics related to the Canadian population. The three articles linked to the language release are entitled 'French and the francophonie,' ' Immigrant languages in Canada,' and ' Aboriginal languages in Canada.'
Release date: 2012-10-24 - 9. Aboriginal languages in Canada ArchivedStats in brief: 98-314-X201100311725Geography: CanadaDescription:
These short analytical articles provide complementary analysis to the 2011 Census analytical document. These articles allow for a more in-depth look to relevant topics related to the Canadian population. The three articles linked to the language release are entitled 'French and the francophonie,' ' Immigrant languages in Canada,' and ' Aboriginal languages in Canada.'
Release date: 2012-10-24 - Articles and reports: 11F0019M2012345Geography: CanadaDescription:
This study uses the 2007 National Apprenticeship Survey (NAS) to compare hourly wage differences observed between apprentices who complete their programs and apprentices who discontinue their programs. The primary objective is to estimate the magnitude of the wage difference between these groups while taking into account a broad range of characteristics. Furthermore, wage comparisons are refined further by disaggregating apprentices into four mutually exclusive groups, defined on the basis of program completion and certification.
Release date: 2012-10-03
Stats in brief (2)
Stats in brief (2) ((2 results))
- 1. Immigrant languages in Canada ArchivedStats in brief: 98-314-X201100311724Geography: CanadaDescription:
These short analytical articles provide complementary analysis to the 2011 Census analytical document. These articles allow for a more in-depth look to relevant topics related to the Canadian population. The three articles linked to the language release are entitled 'French and the francophonie,' ' Immigrant languages in Canada,' and ' Aboriginal languages in Canada.'
Release date: 2012-10-24 - 2. Aboriginal languages in Canada ArchivedStats in brief: 98-314-X201100311725Geography: CanadaDescription:
These short analytical articles provide complementary analysis to the 2011 Census analytical document. These articles allow for a more in-depth look to relevant topics related to the Canadian population. The three articles linked to the language release are entitled 'French and the francophonie,' ' Immigrant languages in Canada,' and ' Aboriginal languages in Canada.'
Release date: 2012-10-24
Articles and reports (25)
Articles and reports (25) (0 to 10 of 25 results)
- 1. Survey Quality ArchivedArticles and reports: 12-001-X201200211751Description:
Survey quality is a multi-faceted concept that originates from two different development paths. One path is the total survey error paradigm that rests on four pillars providing principles that guide survey design, survey implementation, survey evaluation, and survey data analysis. We should design surveys so that the mean squared error of an estimate is minimized given budget and other constraints. It is important to take all known error sources into account, to monitor major error sources during implementation, to periodically evaluate major error sources and combinations of these sources after the survey is completed, and to study the effects of errors on the survey analysis. In this context survey quality can be measured by the mean squared error and controlled by observations made during implementation and improved by evaluation studies. The paradigm has both strengths and weaknesses. One strength is that research can be defined by error sources and one weakness is that most total survey error assessments are incomplete in the sense that it is not possible to include the effects of all the error sources. The second path is influenced by ideas from the quality management sciences. These sciences concern business excellence in providing products and services with a focus on customers and competition from other providers. These ideas have had a great influence on many statistical organizations. One effect is the acceptance among data providers that product quality cannot be achieved without a sufficient underlying process quality and process quality cannot be achieved without a good organizational quality. These levels can be controlled and evaluated by service level agreements, customer surveys, paradata analysis using statistical process control, and organizational assessment using business excellence models or other sets of criteria. All levels can be improved by conducting improvement projects chosen by means of priority functions. The ultimate goal of improvement projects is that the processes involved should gradually approach a state where they are error-free. Of course, this might be an unattainable goal, albeit one to strive for. It is not realistic to hope for continuous measurements of the total survey error using the mean squared error. Instead one can hope that continuous quality improvement using management science ideas and statistical methods can minimize biases and other survey process problems so that the variance becomes an approximation of the mean squared error. If that can be achieved we have made the two development paths approximately coincide.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211757Description:
Collinearities among explanatory variables in linear regression models affect estimates from survey data just as they do in non-survey data. Undesirable effects are unnecessarily inflated standard errors, spuriously low or high t-statistics, and parameter estimates with illogical signs. The available collinearity diagnostics are not generally appropriate for survey data because the variance estimators they incorporate do not properly account for stratification, clustering, and survey weights. In this article, we derive condition indexes and variance decompositions to diagnose collinearity problems in complex survey data. The adapted diagnostics are illustrated with data based on a survey of health characteristics.
Release date: 2012-12-19 - Articles and reports: 12-001-X201200211758Description:
This paper develops two Bayesian methods for inference about finite population quantiles of continuous survey variables from unequal probability sampling. The first method estimates cumulative distribution functions of the continuous survey variable by fitting a number of probit penalized spline regression models on the inclusion probabilities. The finite population quantiles are then obtained by inverting the estimated distribution function. This method is quite computationally demanding. The second method predicts non-sampled values by assuming a smoothly-varying relationship between the continuous survey variable and the probability of inclusion, by modeling both the mean function and the variance function using splines. The two Bayesian spline-model-based estimators yield a desirable balance between robustness and efficiency. Simulation studies show that both methods yield smaller root mean squared errors than the sample-weighted estimator and the ratio and difference estimators described by Rao, Kovar, and Mantel (RKM 1990), and are more robust to model misspecification than the regression through the origin model-based estimator described in Chambers and Dunstan (1986). When the sample size is small, the 95% credible intervals of the two new methods have closer to nominal confidence coverage than the sample-weighted estimator.
Release date: 2012-12-19 - 4. The Growth of Large Firms in Canada ArchivedArticles and reports: 11-626-X2012021Geography: CanadaDescription:
This article in the Economic Insights series reports on the size distribution of Canadian firms compiled for the research paper Small, Medium-sized, and Large Businesses in the Canadian Economy: Measuring Their Contribution to Gross Domestic Product from 2001 to 2008. The creation of estimates of gross domestic product by firm size is part of a program at Statistics Canada that examines the structure of the Canadian economy and its evolution.
Release date: 2012-12-07 - Articles and reports: 11F0027M2012082Geography: CanadaDescription:
This paper adds to our understanding of the contributions made to the economy by small, medium-sized, and large businesses in Canada. It does this by examining the shares of gross domestic product (GDP) produced by each of these size groups in the business sector.
Previous studies relied predominately on employment, an input to the production process, rather than on a measure of output. This study overcomes this problem by focusing directly on GDP.
Release date: 2012-12-07 - 6. Iron sufficiency of Canadians ArchivedArticles and reports: 82-003-X201200411742Geography: CanadaDescription:
This study uses data from cycle 2 (2009 to 2011) of the Canadian Health Measures Survey to update estimates of the iron status of Canadians. These data allow for the examination of associations between selected socio-demographic and health variables and measures of iron status.
Release date: 2012-11-21 - Articles and reports: 11F0019M2012345Geography: CanadaDescription:
This study uses the 2007 National Apprenticeship Survey (NAS) to compare hourly wage differences observed between apprentices who complete their programs and apprentices who discontinue their programs. The primary objective is to estimate the magnitude of the wage difference between these groups while taking into account a broad range of characteristics. Furthermore, wage comparisons are refined further by disaggregating apprentices into four mutually exclusive groups, defined on the basis of program completion and certification.
Release date: 2012-10-03 - 8. Financial Well-Being in Retirement ArchivedArticles and reports: 11-626-X2012014Geography: CanadaDescription:
This article in the Economic Insights series reports on the most recent statistical developments relating to the financial well-being of retirees. This summary is based on selected research done at Statistics Canada on the contribution of income, consumption, and financial wealth to the well-being of older Canadians.
Release date: 2012-08-29 - Articles and reports: 82-003-X201200311700Geography: CanadaDescription:
This study examines cause-specific mortality rates by level of education to determine if the association between education and mortality differs by cause of death.
Release date: 2012-08-15 - 10. Firm Dynamics: Variation in Profitability Across Canadian Firms of Different Sizes, 2000 to 2009 ArchivedArticles and reports: 11-622-M2012026Geography: CanadaDescription:
Are small firms more profitable than large firms? This paper uses a longitudinal firm-level dataset to explore the financial performance of firms across size classes, and across industries and provinces during the 2000-to-2009 period. It also examines the volatility of profitability across firm size classes.
Release date: 2012-07-31
Journals and periodicals (1)
Journals and periodicals (1) ((1 result))
- Journals and periodicals: 89-651-XDescription:
This article presents employment and unemployment rates, and some information regarding salaries and industrial sectors of employees, for official-language minorities. These data are based on the Labour Force Survey and enable comparisons between official-language minority and majority according to their situation in the labour market for provinces or groups of provinces.
Release date: 2012-11-01
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