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All (31) (0 to 10 of 31 results)
- Surveys and statistical programs – Documentation: 16-507-XDescription:
These educational resources provide instructors with innovative materials, lesson plans and case study assignments based on environmental statistics produced by Statistics Canada. Resources have been developed for educators at the elementary, high school and post-secondary levels.
Curriculum links include grades 1 to 12 geography, social studies, biology, mathematics, science and economics, as well as introductory post-secondary geography and environmental science.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2015001Description:
These educational resources provide instructors with innovative material, lesson plans, handouts and assignments to accompany the 2011 Households and the Environment report (catalogue no. 11-526-X). The materials and activities were developed for Statistics Canada by Enable Education.
Resources were developed for an elementary school audience. Curriculum links include grades 1 to 3 mathematics, social studies, science and technology, as well as arts, language arts, and health and safety.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2015002Description:
These educational resources provide instructors with innovative material, lesson plans, handouts and assignments to accompany the 2011 Households and the Environment report (catalogue no. 11-526-X). The materials and activities were developed for Statistics Canada by Enable Education.
Resources were developed for a secondary school audience. Curriculum links include grades 9 to 12 science, business, environmental science, mathematics, with cross-curricular links to family studies, language arts, technology education and visual arts.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2014001Description:
These educational resources provide instructors with innovative materials, lesson plans and case study assignments to accompany the 2013 release of the Human Activity and the Environment article, “Measuring ecosystem goods and services in Canada.” The materials and activities were developed by the Critical Thinking Consortium, a non-profit, registered association of 55 educational partners—school districts, schools, teacher associations and other educational organizations.
Resources were developed for a junior high school, senior high school and introductory post-secondary audience. Curriculum links include grades 7 to 12 geography, social studies, biology, science and economics, as well as introductory post-secondary geography and environmental science.
Release date: 2014-09-24 - 5. Measuring ecosystem goods and services in Canada ArchivedArticles and reports: 16-201-X201300011875Description:
The article "Measuring ecosystem goods and services in Canada" presents preliminary results achieved through a two-year interdepartmental project to develop experimental ecosystem accounts and the required statistical infrastructure. It provides an overview of ecosystem accounting and valuation and presents several measures of the quantity and quality of ecosystems and ecosystem goods and services (EGS). These measures focus on land cover, human landscape modification, ecosystem potential of the boreal forest, biomass extraction, marine and coastal EGS, and wetland EGS. The report also includes a case study on the Thousand Islands National Park exploring monetary valuation of EGS and concludes with a research agenda for future work on this topic.
Release date: 2013-11-29 - 6. 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 - Table: 81-590-X2010001Geography: CanadaDescription:
This report provides the first pan-Canadian results of the PISA 2009 assessment of reading, mathematics and science by presenting the national and provincial results in order to complement the information presented in the PISA 2009 International report. Results are compared to other participating countries and across Canadian provinces. Chapter 1 provides information on the performance of Canadian 15-year-old students on the PISA 2009 assessment in reading. Chapter 2 presents results on the performance of Canada and the provinces in the minor domains of mathematics and science. Finally, the major findings and opportunities for further study are discussed in the conclusion.
Release date: 2010-12-07 - Articles and reports: 82-003-X201000211153Geography: Province or territoryDescription:
This article describes specific aspects of the human papillomavirus surveillance and evaluation system that is being implemented in Manitoba.
Release date: 2010-05-19 - 9. Evaluation of the coverage of linked Canadian Community Health Survey and hospital inpatient records ArchivedArticles and reports: 11-522-X200800010972Description:
Background: Evaluation of the coverage that results from linking routinely collected administrative hospital data with survey data is an important preliminary step to undertaking analyses based on the linked file. Data and methods: To evaluate the coverage of the linkage between data from cycle 1.1 of the Canadian Community Health Survey (CCHS) and in-patient hospital data (Health Person-Oriented Information or HPOI), the number of people admitted to hospital according to HPOI was compared with the weighted estimate for CCHS respondents who were successfully linked to HPOI. Differences between HPOI and the linked and weighted CCHS estimate indicated linkage failure and/or undercoverage. Results: According to HPOI, from September 2000 through November 2001, 1,572,343 people (outside Quebec) aged 12 or older were hospitalized. Weighted estimates from the linked CCHS, adjusted for agreement to link and plausible health number, were 7.7% lower. Coverage rates were similar for males and females. Provincial rates did not differ from those for the rest of Canada, although differences were apparent for the territories. Coverage rates were significantly lower among people aged 75 or older than among those aged 12 to 74.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010991Description:
In the evaluation of prospective survey designs, statistical agencies generally must consider a large number of design factors that may have a substantial impact on both survey costs and data quality. Assessments of trade-offs between cost and quality are often complicated by limitations on the amount of information available regarding fixed and marginal costs related to: instrument redesign and field testing; the number of primary sample units and sample elements included in the sample; assignment of instrument sections and collection modes to specific sample elements; and (for longitudinal surveys) the number and periodicity of interviews. Similarly, designers often have limited information on the impact of these design factors on data quality.
This paper extends standard design-optimization approaches to account for uncertainty in the abovementioned components of cost and quality. Special attention is directed toward the level of precision required for cost and quality information to provide useful input into the design process; sensitivity of cost-quality trade-offs to changes in assumptions regarding functional forms; and implications for preliminary work focused on collection of cost and quality information. In addition, the paper considers distinctions between cost and quality components encountered in field testing and production work, respectively; incorporation of production-level cost and quality information into adaptive design work; as well as costs and operational risks arising from the collection of detailed cost and quality data during production work. The proposed methods are motivated by, and applied to, work with partitioned redesign of the interview and diary components of the U.S. Consumer Expenditure Survey.
Release date: 2009-12-03
Data (1)
Data (1) ((1 result))
- Table: 81-590-X2010001Geography: CanadaDescription:
This report provides the first pan-Canadian results of the PISA 2009 assessment of reading, mathematics and science by presenting the national and provincial results in order to complement the information presented in the PISA 2009 International report. Results are compared to other participating countries and across Canadian provinces. Chapter 1 provides information on the performance of Canadian 15-year-old students on the PISA 2009 assessment in reading. Chapter 2 presents results on the performance of Canada and the provinces in the minor domains of mathematics and science. Finally, the major findings and opportunities for further study are discussed in the conclusion.
Release date: 2010-12-07
Analysis (21)
Analysis (21) (0 to 10 of 21 results)
- 1. Measuring ecosystem goods and services in Canada ArchivedArticles and reports: 16-201-X201300011875Description:
The article "Measuring ecosystem goods and services in Canada" presents preliminary results achieved through a two-year interdepartmental project to develop experimental ecosystem accounts and the required statistical infrastructure. It provides an overview of ecosystem accounting and valuation and presents several measures of the quantity and quality of ecosystems and ecosystem goods and services (EGS). These measures focus on land cover, human landscape modification, ecosystem potential of the boreal forest, biomass extraction, marine and coastal EGS, and wetland EGS. The report also includes a case study on the Thousand Islands National Park exploring monetary valuation of EGS and concludes with a research agenda for future work on this topic.
Release date: 2013-11-29 - 2. 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: 82-003-X201000211153Geography: Province or territoryDescription:
This article describes specific aspects of the human papillomavirus surveillance and evaluation system that is being implemented in Manitoba.
Release date: 2010-05-19 - 4. Evaluation of the coverage of linked Canadian Community Health Survey and hospital inpatient records ArchivedArticles and reports: 11-522-X200800010972Description:
Background: Evaluation of the coverage that results from linking routinely collected administrative hospital data with survey data is an important preliminary step to undertaking analyses based on the linked file. Data and methods: To evaluate the coverage of the linkage between data from cycle 1.1 of the Canadian Community Health Survey (CCHS) and in-patient hospital data (Health Person-Oriented Information or HPOI), the number of people admitted to hospital according to HPOI was compared with the weighted estimate for CCHS respondents who were successfully linked to HPOI. Differences between HPOI and the linked and weighted CCHS estimate indicated linkage failure and/or undercoverage. Results: According to HPOI, from September 2000 through November 2001, 1,572,343 people (outside Quebec) aged 12 or older were hospitalized. Weighted estimates from the linked CCHS, adjusted for agreement to link and plausible health number, were 7.7% lower. Coverage rates were similar for males and females. Provincial rates did not differ from those for the rest of Canada, although differences were apparent for the territories. Coverage rates were significantly lower among people aged 75 or older than among those aged 12 to 74.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010991Description:
In the evaluation of prospective survey designs, statistical agencies generally must consider a large number of design factors that may have a substantial impact on both survey costs and data quality. Assessments of trade-offs between cost and quality are often complicated by limitations on the amount of information available regarding fixed and marginal costs related to: instrument redesign and field testing; the number of primary sample units and sample elements included in the sample; assignment of instrument sections and collection modes to specific sample elements; and (for longitudinal surveys) the number and periodicity of interviews. Similarly, designers often have limited information on the impact of these design factors on data quality.
This paper extends standard design-optimization approaches to account for uncertainty in the abovementioned components of cost and quality. Special attention is directed toward the level of precision required for cost and quality information to provide useful input into the design process; sensitivity of cost-quality trade-offs to changes in assumptions regarding functional forms; and implications for preliminary work focused on collection of cost and quality information. In addition, the paper considers distinctions between cost and quality components encountered in field testing and production work, respectively; incorporation of production-level cost and quality information into adaptive design work; as well as costs and operational risks arising from the collection of detailed cost and quality data during production work. The proposed methods are motivated by, and applied to, work with partitioned redesign of the interview and diary components of the U.S. Consumer Expenditure Survey.
Release date: 2009-12-03 - 6. Reducing the number of cognitive interviews by adding other cognitive methods of testing ArchivedArticles and reports: 11-522-X200800011007Description:
The Questionnaire Design Resource Centre (QDRC) is the focal point of expertise at Statistics Canada for questionnaire design and evaluation. As it stands now, cognitive interviewing to test questionnaires is most often done near the end of the questionnaire development process. By participating earlier in the questionnaire development process, the QDRC could test new survey topics using more adaptive cognitive methods for each step of the questionnaire development process. This would necessitate fewer participants for each phase of testing, thus reducing the cost and the recruitment challenge.
Based on a review of the literature and Statistics Canada's existing questionnaire evaluation projects, this paper will describe how the QDRC could help clients in making appropriate improvements to their questionnaire in a timely manner.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800011008Description:
In one sense, a questionnaire is never complete. Test results, paradata and research findings constantly provide reasons to update and improve the questionnaire. In addition, establishments change over time and questions need to be updated accordingly. In reality, it doesn't always work like this. At Statistics Sweden there are several examples of questionnaires that were designed at one point in time and rarely improved later on. However, we are currently trying to shift the perspective on questionnaire design from a linear to a cyclic one. We are developing a cyclic model in which the questionnaire can be improved continuously in multiple rounds. In this presentation, we will discuss this model and how we work with it.
Release date: 2009-12-03 - Journals and periodicals: 89-639-XGeography: CanadaDescription:
Beginning in late 2006, the Social and Aboriginal Statistics Division of Statistics Canada embarked on the process of review of questions used in the Census and in surveys to produce data about Aboriginal peoples (North American Indian, Métis and Inuit). This process is essential to ensure that Aboriginal identification questions are valid measures of contemporary Aboriginal identification, in all its complexity. Questions reviewed included the following (from the Census 2B questionnaire):- the Ethnic origin / Aboriginal ancestry question;- the Aboriginal identity question;- the Treaty / Registered Indian question; and- the Indian band / First Nation Membership question.
Additional testing was conducted on Census questions with potential Aboriginal response options: the population group question (also known as visible minorities), and the Religion question. The review process to date has involved two major steps: regional discussions with data users and stakeholders, and qualitative testing. The regional discussions with over 350 users of Aboriginal data across Canada were held in early 2007 to examine the four questions used on the Census and other surveys of Statistics Canada. Data users included National Aboriginal organizations, Aboriginal Provincial and Territorial Organizations, Federal, Provincial and local governments, researchers and Aboriginal service organizations. User feedback showed that main areas of concern were data quality, undercoverage, the wording of questions, and the importance of comparability over time.
Release date: 2009-04-17 - Articles and reports: 81-590-X2007001Geography: CanadaDescription:
The Programme for International Student Assessment (PISA) is a collaborative effort among member countries of the OECD, designed to assess, on a regular basis, the achievement of 15-year-olds in reading, mathematical and scientific literacy through a common international test. This report provides results from the PISA 2006 assessment of student performance in science, reading and mathematics at the provincial level, and compares the achievement of Canadian students to that of students internationally. PISA 2006 has a special focus on science. Over fifty countries participated in PISA 2006, including all 30 OECD countries. About 22,000 15-year-olds from more than 1,000 schools took part in Canada.
Release date: 2008-03-14 - Journals and periodicals: 11F0026MDescription: The Economic Analysis Methodology Paper Series circulates information on definitions employed, standards used, procedures followed and evaluations of the quality of the economic statistics produced by the System of National Accounts (SNA). These papers can be downloaded free at www.statcan.gc.ca.Release date: 2005-08-30
Reference (9)
Reference (9) ((9 results))
- Surveys and statistical programs – Documentation: 16-507-XDescription:
These educational resources provide instructors with innovative materials, lesson plans and case study assignments based on environmental statistics produced by Statistics Canada. Resources have been developed for educators at the elementary, high school and post-secondary levels.
Curriculum links include grades 1 to 12 geography, social studies, biology, mathematics, science and economics, as well as introductory post-secondary geography and environmental science.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2015001Description:
These educational resources provide instructors with innovative material, lesson plans, handouts and assignments to accompany the 2011 Households and the Environment report (catalogue no. 11-526-X). The materials and activities were developed for Statistics Canada by Enable Education.
Resources were developed for an elementary school audience. Curriculum links include grades 1 to 3 mathematics, social studies, science and technology, as well as arts, language arts, and health and safety.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2015002Description:
These educational resources provide instructors with innovative material, lesson plans, handouts and assignments to accompany the 2011 Households and the Environment report (catalogue no. 11-526-X). The materials and activities were developed for Statistics Canada by Enable Education.
Resources were developed for a secondary school audience. Curriculum links include grades 9 to 12 science, business, environmental science, mathematics, with cross-curricular links to family studies, language arts, technology education and visual arts.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2014001Description:
These educational resources provide instructors with innovative materials, lesson plans and case study assignments to accompany the 2013 release of the Human Activity and the Environment article, “Measuring ecosystem goods and services in Canada.” The materials and activities were developed by the Critical Thinking Consortium, a non-profit, registered association of 55 educational partners—school districts, schools, teacher associations and other educational organizations.
Resources were developed for a junior high school, senior high school and introductory post-secondary audience. Curriculum links include grades 7 to 12 geography, social studies, biology, science and economics, as well as introductory post-secondary geography and environmental science.
Release date: 2014-09-24 - Surveys and statistical programs – Documentation: 89-634-X2009008Geography: CanadaDescription:
The Strengths and Difficulties Questionnaire (SDQ) is a parent-reported instrument designed to provide information on children's behaviours and relationships. The SDQ consists of 25 items which are grouped into five subscales: (1) pro-social, (2) inattention-hyperactivity, (3) emotional symptoms, (4) conduct problems, and (5) peer problems. The SDQ was used to provide information on children aged 2 to 5 years in the 2006 Aboriginal Children's Survey (ACS). Though validated on general populations, the constructs of the SDQ have not been validated for off-reserve First Nations, Métis and Inuit children in Canada. The first objective of this evaluation is to examine if the five subscales of the SDQ demonstrate construct validity and reliability for off-reserve First Nations, Métis and Inuit children. The second objective is to examine if an alternative set of subscales, using the 25 SDQ items, may be more valid and reliable for off-reserve First Nations, Métis and Inuit children.
Release date: 2009-11-25 - 6. The Micro-Economic Analysis Division: The Role of Analysis in Delivering Information Products ArchivedSurveys and statistical programs – Documentation: 11F0026M2004001Description:
This paper describes how the analytical program of Statistics Canada's productivity group is used to enhance the quality (relevance, coherence, interpretability) of its products.
Release date: 2004-07-08 - 7. User Guide to 1996 Census Income Data ArchivedSurveys and statistical programs – Documentation: 75F0002M2000010Description:
This report explains the concept of income and provides definitions of the various sources of income and derived income variables. It also documents the various aspects of the census that can have an impact on census income estimates.
Release date: 2000-07-26 - Surveys and statistical programs – Documentation: 21-601-M1999042Description:
This paper reconstructs the development and evolution of the Canadian agricultural statistical system. It describes the expanding and increasingly important role of administrative data, which is integrated into survey and census information in order to complement, supplement or replace survey information or to assist with frame maintenance.
Release date: 2000-01-14 - Surveys and statistical programs – Documentation: 11-522-X19980015031Description:
The U.S. Third National Health and Nutrition Examination Survey (NHANES III) was carried out from 1988 to 1994. This survey was intended primarily to provide estimates of cross-sectional parameters believed to be approximately constant over the six-year data collection period. However, for some variable (e.g., serum lead, body mass index and smoking behavior), substantive considerations suggest the possible presence of nontrivial changes in level between 1988 and 1994. For these variables, NHANES III is potentially a valuable source of time-change information, compared to other studies involving more restricted populations and samples. Exploration of possible change over time is complicated by two issues. First, there was of practical concern because some variables displayed substantial regional differences in level. This was of practical concern because some variables displayed substantial regional differences in level. Second, nontrivial changes in level over time can lead to nontrivial biases in some customary NHANES III variance estimators. This paper considers these two problems and discusses some related implications for statistical policy.
Release date: 1999-10-22
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