Collection and questionnaires
Filter results by
Search HelpKeyword(s)
Type
Survey or statistical program
Results
All (30)
All (30) (0 to 10 of 30 results)
- 1. From theory to practice: Lessons learned from implementing the Network Sampling with Memory method ArchivedArticles and reports: 11-522-X202200100016Description: To overcome the traditional drawbacks of chain sampling methods, the sampling method called “network sampling with memory” was developed. Its unique feature is to recreate, gradually in the field, a frame for the target population composed of individuals identified by respondents and to randomly draw future respondents from this frame, thereby minimizing selection bias. Tested for the first time in France between September 2020 and June 2021, for a survey among Chinese immigrants in Île-de-France (ChIPRe), this presentation describes the difficulties encountered during collection—sometimes contextual, due to the pandemic, but mostly inherent to the method.Release date: 2024-03-25
- Articles and reports: 12-001-X202200100005Description:
Methodological studies of the effects that human interviewers have on the quality of survey data have long been limited by a critical assumption: that interviewers in a given survey are assigned random subsets of the larger overall sample (also known as interpenetrated assignment). Absent this type of study design, estimates of interviewer effects on survey measures of interest may reflect differences between interviewers in the characteristics of their assigned sample members, rather than recruitment or measurement effects specifically introduced by the interviewers. Previous attempts to approximate interpenetrated assignment have typically used regression models to condition on factors that might be related to interviewer assignment. We introduce a new approach for overcoming this lack of interpenetrated assignment when estimating interviewer effects. This approach, which we refer to as the “anchoring” method, leverages correlations between observed variables that are unlikely to be affected by interviewers (“anchors”) and variables that may be prone to interviewer effects to remove components of within-interviewer correlations that lack of interpenetrated assignment may introduce. We consider both frequentist and Bayesian approaches, where the latter can make use of information about interviewer effect variances in previous waves of a study, if available. We evaluate this new methodology empirically using a simulation study, and then illustrate its application using real survey data from the Behavioral Risk Factor Surveillance System (BRFSS), where interviewer IDs are provided on public-use data files. While our proposed method shares some of the limitations of the traditional approach – namely the need for variables associated with the outcome of interest that are also free of measurement error – it avoids the need for conditional inference and thus has improved inferential qualities when the focus is on marginal estimates, and it shows evidence of further reducing overestimation of larger interviewer effects relative to the traditional approach.
Release date: 2022-06-21 - Articles and reports: 82-003-X202000800002Description:
The purpose of this study was to examine the psychometric properties of the parent-rated Strengths and Difficulties Questionnaire with a nationally representative sample of Canadian children and adolescents.
Release date: 2020-08-19 - Articles and reports: 11-522-X201700014746Description:
Paradata research has focused on identifying opportunities for strategic improvement in data collection that could be operationally viable and lead to enhancements in quality or cost efficiency. To that end, Statistics Canada has developed and implemented a responsive collection design (RCD) strategy for computer-assisted telephone interview (CATI) household surveys to maximize quality and efficiency and to potentially reduce costs. RCD is an adaptive approach to survey data collection that uses information available prior to and during data collection to adjust the collection strategy for the remaining in-progress cases. In practice, the survey managers monitor and analyze collection progress against a predetermined set of indicators for two purposes: to identify critical data-collection milestones that require significant changes to the collection approach and to adjust collection strategies to make the most efficient use of remaining available resources. In the RCD context, numerous considerations come into play when determining which aspects of data collection to adjust and how to adjust them. Paradata sources play a key role in the planning, development and implementation of active management for RCD surveys. Since 2009, Statistics Canada has conducted several RCD surveys. This paper describes Statistics Canada’s experiences in implementing and monitoring this type of surveys.
Release date: 2016-03-24 - Articles and reports: 11-522-X201700014752Description:
This paper presents a new price index method for processing electronic transaction (scanner) data. Price indices are calculated as a ratio of a turnover index and a weighted quantity index. Product weights of quantities sold are computed from the deflated prices of each month in the current publication year. New products can be timely incorporated without price imputations, so that all transactions can be processed. Product weights are monthly updated and are used to calculate direct indices with respect to a fixed base month. Price indices are free of chain drift by this construction. The results are robust under departures from the methodological choices. The method is part of the Dutch CPI since January 2016, when it was first applied to mobile phones.
Release date: 2016-03-24 - Articles and reports: 12-001-X201400214128Description:
Users, funders and providers of official statistics want estimates that are “wider, deeper, quicker, better, cheaper” (channeling Tim Holt, former head of the UK Office for National Statistics), to which I would add “more relevant” and “less burdensome”. Since World War II, we have relied heavily on the probability sample survey as the best we could do - and that best being very good - to meet these goals for estimates of household income and unemployment, self-reported health status, time use, crime victimization, business activity, commodity flows, consumer and business expenditures, et al. Faced with secularly declining unit and item response rates and evidence of reporting error, we have responded in many ways, including the use of multiple survey modes, more sophisticated weighting and imputation methods, adaptive design, cognitive testing of survey items, and other means to maintain data quality. For statistics on the business sector, in order to reduce burden and costs, we long ago moved away from relying solely on surveys to produce needed estimates, but, to date, we have not done that for household surveys, at least not in the United States. I argue that we can and must move from a paradigm of producing the best estimates possible from a survey to that of producing the best possible estimates to meet user needs from multiple data sources. Such sources include administrative records and, increasingly, transaction and Internet-based data. I provide two examples - household income and plumbing facilities - to illustrate my thesis. I suggest ways to inculcate a culture of official statistics that focuses on the end result of relevant, timely, accurate and cost-effective statistics and treats surveys, along with other data sources, as means to that end.
Release date: 2014-12-19 - Articles and reports: 82-003-X201400714038Description:
This analysis compares self-reported and measured physical activity collected by the Canadian Health Measures Survey and explores the limitations of each method.
Release date: 2014-07-16 - Articles and reports: 82-003-X201400111891Geography: CanadaDescription:
The Canadian Health Measures Survey uses accelerometry to collect physical activity and sedentary behaviour data. Between cycles 2 and 3, a transition was made from 60-second to 15-second epochs in accelerometry data for children aged 3 to 5. This study examines the impact of epoch length on physical activity and sedentary behaviour outcomes for children in this age range.
Release date: 2014-01-15 - Articles and reports: 12-001-X201300111824Description:
In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.
Release date: 2013-06-28 - Articles and reports: 11-522-X200800010963Description:
BackgroundThere has been a reluctance to conduct child related research studies with, rather than on children in the African continent. Several studies have embarked on this method, however, ethical and privacy challenges still prevail. The Amajuba Child Health and Wellbeing Research Project is a longitudinal study that was conducted with 725 children aged between 9 and 15 years old in KwaZulu Natal in South Africa and also faced the same challenges.
MethodsFocus group discussions and self administered questionnaires were used as data collection techniques for ACHWRP. One of ACHWRP's objectives is to document the consequences of parental or caregiver death on health and well-being of orphans in Amajuba District of KwaZulu Natal. Ethical clearance was received from two ethical review boards.
Lessons learnedEthical challenges included problems of coercion for participation, gatekeeper's and partner's roles, getting consent and assent, recruitment and referral system.Privacy challenges included data collection techniques, curiosity and destruction by members of the family during an interview, the setting where interviews are conducted, logistical issues and the method of recruitment's potential to compromise confidentiality.Resolutions: Detailed consent and assent forms with all relevant information are necessary. Careful selection of partnerships is crucial. Use of a venue that is far from the community is necessary, but in the process making sure that the participants are covered with regards to the expenses of travelling to the venue.
ConclusionConducting research with children entails investing more time and attention to the planning stage of the study.
Release date: 2009-12-03
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (22)
Analysis (22) (0 to 10 of 22 results)
- 1. From theory to practice: Lessons learned from implementing the Network Sampling with Memory method ArchivedArticles and reports: 11-522-X202200100016Description: To overcome the traditional drawbacks of chain sampling methods, the sampling method called “network sampling with memory” was developed. Its unique feature is to recreate, gradually in the field, a frame for the target population composed of individuals identified by respondents and to randomly draw future respondents from this frame, thereby minimizing selection bias. Tested for the first time in France between September 2020 and June 2021, for a survey among Chinese immigrants in Île-de-France (ChIPRe), this presentation describes the difficulties encountered during collection—sometimes contextual, due to the pandemic, but mostly inherent to the method.Release date: 2024-03-25
- Articles and reports: 12-001-X202200100005Description:
Methodological studies of the effects that human interviewers have on the quality of survey data have long been limited by a critical assumption: that interviewers in a given survey are assigned random subsets of the larger overall sample (also known as interpenetrated assignment). Absent this type of study design, estimates of interviewer effects on survey measures of interest may reflect differences between interviewers in the characteristics of their assigned sample members, rather than recruitment or measurement effects specifically introduced by the interviewers. Previous attempts to approximate interpenetrated assignment have typically used regression models to condition on factors that might be related to interviewer assignment. We introduce a new approach for overcoming this lack of interpenetrated assignment when estimating interviewer effects. This approach, which we refer to as the “anchoring” method, leverages correlations between observed variables that are unlikely to be affected by interviewers (“anchors”) and variables that may be prone to interviewer effects to remove components of within-interviewer correlations that lack of interpenetrated assignment may introduce. We consider both frequentist and Bayesian approaches, where the latter can make use of information about interviewer effect variances in previous waves of a study, if available. We evaluate this new methodology empirically using a simulation study, and then illustrate its application using real survey data from the Behavioral Risk Factor Surveillance System (BRFSS), where interviewer IDs are provided on public-use data files. While our proposed method shares some of the limitations of the traditional approach – namely the need for variables associated with the outcome of interest that are also free of measurement error – it avoids the need for conditional inference and thus has improved inferential qualities when the focus is on marginal estimates, and it shows evidence of further reducing overestimation of larger interviewer effects relative to the traditional approach.
Release date: 2022-06-21 - Articles and reports: 82-003-X202000800002Description:
The purpose of this study was to examine the psychometric properties of the parent-rated Strengths and Difficulties Questionnaire with a nationally representative sample of Canadian children and adolescents.
Release date: 2020-08-19 - Articles and reports: 11-522-X201700014746Description:
Paradata research has focused on identifying opportunities for strategic improvement in data collection that could be operationally viable and lead to enhancements in quality or cost efficiency. To that end, Statistics Canada has developed and implemented a responsive collection design (RCD) strategy for computer-assisted telephone interview (CATI) household surveys to maximize quality and efficiency and to potentially reduce costs. RCD is an adaptive approach to survey data collection that uses information available prior to and during data collection to adjust the collection strategy for the remaining in-progress cases. In practice, the survey managers monitor and analyze collection progress against a predetermined set of indicators for two purposes: to identify critical data-collection milestones that require significant changes to the collection approach and to adjust collection strategies to make the most efficient use of remaining available resources. In the RCD context, numerous considerations come into play when determining which aspects of data collection to adjust and how to adjust them. Paradata sources play a key role in the planning, development and implementation of active management for RCD surveys. Since 2009, Statistics Canada has conducted several RCD surveys. This paper describes Statistics Canada’s experiences in implementing and monitoring this type of surveys.
Release date: 2016-03-24 - Articles and reports: 11-522-X201700014752Description:
This paper presents a new price index method for processing electronic transaction (scanner) data. Price indices are calculated as a ratio of a turnover index and a weighted quantity index. Product weights of quantities sold are computed from the deflated prices of each month in the current publication year. New products can be timely incorporated without price imputations, so that all transactions can be processed. Product weights are monthly updated and are used to calculate direct indices with respect to a fixed base month. Price indices are free of chain drift by this construction. The results are robust under departures from the methodological choices. The method is part of the Dutch CPI since January 2016, when it was first applied to mobile phones.
Release date: 2016-03-24 - Articles and reports: 12-001-X201400214128Description:
Users, funders and providers of official statistics want estimates that are “wider, deeper, quicker, better, cheaper” (channeling Tim Holt, former head of the UK Office for National Statistics), to which I would add “more relevant” and “less burdensome”. Since World War II, we have relied heavily on the probability sample survey as the best we could do - and that best being very good - to meet these goals for estimates of household income and unemployment, self-reported health status, time use, crime victimization, business activity, commodity flows, consumer and business expenditures, et al. Faced with secularly declining unit and item response rates and evidence of reporting error, we have responded in many ways, including the use of multiple survey modes, more sophisticated weighting and imputation methods, adaptive design, cognitive testing of survey items, and other means to maintain data quality. For statistics on the business sector, in order to reduce burden and costs, we long ago moved away from relying solely on surveys to produce needed estimates, but, to date, we have not done that for household surveys, at least not in the United States. I argue that we can and must move from a paradigm of producing the best estimates possible from a survey to that of producing the best possible estimates to meet user needs from multiple data sources. Such sources include administrative records and, increasingly, transaction and Internet-based data. I provide two examples - household income and plumbing facilities - to illustrate my thesis. I suggest ways to inculcate a culture of official statistics that focuses on the end result of relevant, timely, accurate and cost-effective statistics and treats surveys, along with other data sources, as means to that end.
Release date: 2014-12-19 - Articles and reports: 82-003-X201400714038Description:
This analysis compares self-reported and measured physical activity collected by the Canadian Health Measures Survey and explores the limitations of each method.
Release date: 2014-07-16 - Articles and reports: 82-003-X201400111891Geography: CanadaDescription:
The Canadian Health Measures Survey uses accelerometry to collect physical activity and sedentary behaviour data. Between cycles 2 and 3, a transition was made from 60-second to 15-second epochs in accelerometry data for children aged 3 to 5. This study examines the impact of epoch length on physical activity and sedentary behaviour outcomes for children in this age range.
Release date: 2014-01-15 - Articles and reports: 12-001-X201300111824Description:
In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.
Release date: 2013-06-28 - Articles and reports: 11-522-X200800010963Description:
BackgroundThere has been a reluctance to conduct child related research studies with, rather than on children in the African continent. Several studies have embarked on this method, however, ethical and privacy challenges still prevail. The Amajuba Child Health and Wellbeing Research Project is a longitudinal study that was conducted with 725 children aged between 9 and 15 years old in KwaZulu Natal in South Africa and also faced the same challenges.
MethodsFocus group discussions and self administered questionnaires were used as data collection techniques for ACHWRP. One of ACHWRP's objectives is to document the consequences of parental or caregiver death on health and well-being of orphans in Amajuba District of KwaZulu Natal. Ethical clearance was received from two ethical review boards.
Lessons learnedEthical challenges included problems of coercion for participation, gatekeeper's and partner's roles, getting consent and assent, recruitment and referral system.Privacy challenges included data collection techniques, curiosity and destruction by members of the family during an interview, the setting where interviews are conducted, logistical issues and the method of recruitment's potential to compromise confidentiality.Resolutions: Detailed consent and assent forms with all relevant information are necessary. Careful selection of partnerships is crucial. Use of a venue that is far from the community is necessary, but in the process making sure that the participants are covered with regards to the expenses of travelling to the venue.
ConclusionConducting research with children entails investing more time and attention to the planning stage of the study.
Release date: 2009-12-03
Reference (8)
Reference (8) ((8 results))
- Surveys and statistical programs – Documentation: 89-552-M2005013Geography: CanadaDescription:
This report documents key aspects of the development of the International Adult Literacy and Life Skills Survey (ALL) - its theoretical roots, the domains selected for possible assessment, the approaches taken to assessment in each domain and the criteria that were employed to decide which domains were to be carried in the final design. As conceived, the ALL survey was meant to build on the success of the International Adult Literacy Survey (IALS) assessments by extending the range of skills assessed and by improving the quality of the assessment methods employed. This report documents several successes including: · the development of a new framework and associated robust measures for problem solving · the development of a powerful numeracy framework and associated robust measures · the specification of frameworks for practical cognition, teamwork and information and communication technology literacy The report also provides insight into those domains where development failed to yield approaches to assessment of sufficient quality, insight that reminds us that scientific advance in this domain is hard won.
Release date: 2005-03-24 - Surveys and statistical programs – Documentation: 81-595-M2004020Geography: CanadaDescription:
This article discusses the collection and interpretation of statistical data on Canada's trade in culture goods. It defines the products that are included in culture trade and explains how appropriate products are selected from the relevant classification standards.
This version has been replaced by Culture Goods Trade Data User Guide, Catalogue No. 81-595-MIE2006040.
Release date: 2004-07-28 - Surveys and statistical programs – Documentation: 75F0002M2004007Description:
This document outlines the structure of the January 2003 labour interview of the Survey of Labour and Income Dynamics (SLID), including question wording, possible responses and flows of questions.
Release date: 2004-06-21 - Surveys and statistical programs – Documentation: 75F0002M2004004Description:
This paper describes the collection method and content of the 2003 income interview of the Survey of Labour and Income Dynamics (SLID). Respondents also had the option of giving Statistics Canada permission to use the information on their income tax return.
Release date: 2004-06-18 - Surveys and statistical programs – Documentation: 75F0002M2004005Description:
This document presents the questions, possible responses and question flows for the 2003 preliminary questionnaire of the Survey of Labour and Income Dynamics (SLID).
Release date: 2004-06-18 - Surveys and statistical programs – Documentation: 61F0041M1998003Description:
This on-line product describes the personalization of the long-form questionnaires of Canada's Annual Survey of Manufactures (ASM). Personalization was motivated by the desire to reduce respondent burden. Prior to personalization, long-form questionnaires were the same for all the establishments of a given 4-digit SIC industry. Each questionnaire contained a list comprising almost all the commodities likely to be used as inputs or produced as outputs by that industry. For the typical establishment, only a small subset of the commodities listed was applicable. Personalization involved tailoring those lists to each individual establishment, based on the previous reporting of that same establishment.
After first defining terms and then providing some quantification of the need for personalization, the paper details a number of the prerequisites - an algorithm for commodity selection, a set of stand-alone commodity descriptions, and an automated questionnaire production system. The paper next details a number of the impacts of personalization - and does so in terms of response burden, loss of information, and automation. The paper concludes with a summary and some recommendations.
Release date: 1998-04-03 - Surveys and statistical programs – Documentation: 75F0002M1993009Description:
This paper presents an analysis of the questions in the Survey of Labour and Income Dynamics (SLID) relating to supervision and management. It uses data collected in January 1993.
Release date: 1995-12-30 - Surveys and statistical programs – Documentation: 75F0002M1994005Description:
This document outlines the structure and detailed content of the first labour interview questionnaire for the Survey of Labour and Income Dynamics (SLID).
Release date: 1995-12-30
- Date modified: