Keyword search
Filter results by
Search HelpKeyword(s)
Subject
Type
Survey or statistical program
Results
All (6)
All (6) ((6 results))
- 1. 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 - 3. 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 - 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 - 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
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (5)
Analysis (5) ((5 results))
- 1. 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 - 3. 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
Reference (1)
Reference (1) ((1 result))
- 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
- Date modified: