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All (176)

All (176) (0 to 10 of 176 results)

1. Survey Series on People and their Communities Archived
Articles and reports: 11-522-X202200100011
Description: In 2021, Statistics Canada initiated the Disaggregated Data Action Plan, a multi-year initiative to support more representative data collection methods, enhance statistics on diverse populations to allow for intersectional analyses, and support government and societal efforts to address known inequalities and bring considerations of fairness and inclusion into decision making. As part of this initiative, we are building the Survey Series on People and their Communities, a new probabilistic panel specifically designed to collect data that can be disaggregated according to racialized group. This new tool will allow us to address data gaps and emerging questions related to diversity. This paper will give an overview of the design of the Survey Series on People and their Communities.
Release date: 2024-03-25
2. From theory to practice: Lessons learned from implementing the Network Sampling with Memory method Archived
Articles and reports: 11-522-X202200100016
Description: 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
3. An Open-source System for Building-height Estimation using Street-view Images, Deep Learning, and Building Footprints
Articles and reports: 18-001-X2020002
Description:
This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.
Release date: 2020-12-08
4. How to Build a Robots! Database
Articles and reports: 11-633-X2020004
Description:
Recent advances in artificial intelligence have rekindled ancient fears that robots will replace humans in the economy. Previous waves of automation changed but did not reduce labour’s role, but robots’ human-like flexibility could make this time different. Whether or not it will is an empirical question that has lacked suitable data to answer. This paper describes the creation of a dataset to fill the evidence gap in Canada. Robots! is firm-level panel data on robot adoption created using Canadian import data. The data identify a substantial amount of the robot investment in the Canadian economy from 1996 to 2017. Although many robots are imported by robotics wholesalers or programmers for resale, the majority of them can be attributed to their final (direct) adopting firm. The data can be used to study the impact of robot adoption at the economic region, industry or firm-level.
Release date: 2020-11-02
5. Comparison of self-reported and accelerometer-measured physical activity among Canadian youth Archived
Articles and reports: 82-003-X201900700001
Description:
Statistics Canada developed a new Physical Activity for Youth Questionnaire (PAYQ) to address the limitations of previous self-reporting and objective measurement. PAYQ was subsequently implemented in both the Canadian Health Measures Survey (2014-2015) and the Canadian Community Health Survey (2015-2016). Using those surveys, this study compares accelerometer-measured and self-reported physical activity from the new PAYQ among Canadian youth.
Release date: 2019-07-17
6. An Assessment of Non-probabilistic Online Survey Data: Comparing the Carrot Rewards Mobile App Survey to the Canadian Community Health Survey Archived
Articles and reports: 11-633-X2019002
Description:
Survey data collection through mobile devices, such as tablets and smartphones, is underway in Canada. However, little is known about the representativeness of the data collected through these devices. In March 2017, Statistics Canada commissioned survey data collection through the Carrot Rewards Application and included 11 questions on the Carrot Rewards Mobile App Survey (Carrot) drawn from the 2017 Canadian Community Health Survey (CCHS).
Release date: 2019-06-04
7. Canadian Survey on Disability, 2017: Concepts and Methods Guide Archived
Articles and reports: 89-654-X2018001
Description:
The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem.
The 2017 CSD Concepts and Methods Guide is designed to assist CSD data users by providing relevant information on survey content and concepts, sampling design, collection methods, data processing, data quality and product availability. Chapter 1 of this guide provides an overview of the 2017 CSD by introducing the survey's background and objectives. Chapter 2 explains the key concepts and definitions and introduces the indicators measured by the CSD questionnaire modules. Chapters 3 to 6 cover important aspects of survey methodology, from sampling design to data collection and processing. Chapters 7 and 8 cover issues of data quality, including the approaches used to minimize and correct errors throughout all stages of the survey. Users are cautioned against making comparisons with data from the 2012 CSD. Chapter 9 outlines the survey products that are available to the public, including data tables, an analytical article and reference material. Appendices provide more detail on the survey's indicators and other supporting documents for the CSD.
Release date: 2018-11-28
8. Revising the classification of founded and unfounded criminal incidents in the Uniform Crime Reporting Survey Archived
Articles and reports: 85-002-X201800154973
Description:
This Juristat article provides information on the collection, through the Uniform Crime Reporting Survey, of unfounded criminal incidents in Canada, including sexual assaults. It will provide background on the collection of these data and an overview of the actions taken by the Canadian Centre for Justice Statistics - a division at Statistics Canada - and the Police Information and Statistics Committee of the Canadian Association of Chiefs of Police to revise the Uniform Crime Reporting Survey to address data quality and reporting issues, and to reinstate collection of information on unfounded criminal incidents.
Release date: 2018-07-12
9. Sample survey theory and methods: Past, present, and future directions Archived
Articles and reports: 12-001-X201700254888
Description:
We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 1934 landmark paper laid the theoretical foundations for the probability sampling approach to inference from survey samples. Classical sampling books by Cochran, Deming, Hansen, Hurwitz and Madow, Sukhatme, and Yates, which appeared in the early 1950s, expanded and elaborated the theory of probability sampling, emphasizing unbiasedness, model free features, and designs that minimize variance for a fixed cost. During the period 1960-1970, theoretical foundations of inference from survey data received attention, with the model-dependent approach generating considerable discussion. Introduction of general purpose statistical software led to the use of such software with survey data, which led to the design of methods specifically for complex survey data. At the same time, weighting methods, such as regression estimation and calibration, became practical and design consistency replaced unbiasedness as the requirement for standard estimators. A bit later, computer-intensive resampling methods also became practical for large scale survey samples. Improved computer power led to more sophisticated imputation for missing data, use of more auxiliary data, some treatment of measurement errors in estimation, and more complex estimation procedures. A notable use of models was in the expanded use of small area estimation. Future directions in research and methods will be influenced by budgets, response rates, timeliness, improved data collection devices, and availability of auxiliary data, some of which will come from “Big Data”. Survey taking will be impacted by changing cultural behavior and by a changing physical-technical environment.
Release date: 2017-12-21
10. Comments on the Rao and Fuller (2017) paper by Danny Pfeffermann Archived
Articles and reports: 12-001-X201700254894
Description:
This note by Danny Pfeffermann presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21

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Analysis (176)

Analysis (176) (0 to 10 of 176 results)

1. Survey Series on People and their Communities Archived
Articles and reports: 11-522-X202200100011
Description: In 2021, Statistics Canada initiated the Disaggregated Data Action Plan, a multi-year initiative to support more representative data collection methods, enhance statistics on diverse populations to allow for intersectional analyses, and support government and societal efforts to address known inequalities and bring considerations of fairness and inclusion into decision making. As part of this initiative, we are building the Survey Series on People and their Communities, a new probabilistic panel specifically designed to collect data that can be disaggregated according to racialized group. This new tool will allow us to address data gaps and emerging questions related to diversity. This paper will give an overview of the design of the Survey Series on People and their Communities.
Release date: 2024-03-25
2. From theory to practice: Lessons learned from implementing the Network Sampling with Memory method Archived
Articles and reports: 11-522-X202200100016
Description: 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
3. An Open-source System for Building-height Estimation using Street-view Images, Deep Learning, and Building Footprints
Articles and reports: 18-001-X2020002
Description:
This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.
Release date: 2020-12-08
4. How to Build a Robots! Database
Articles and reports: 11-633-X2020004
Description:
Recent advances in artificial intelligence have rekindled ancient fears that robots will replace humans in the economy. Previous waves of automation changed but did not reduce labour’s role, but robots’ human-like flexibility could make this time different. Whether or not it will is an empirical question that has lacked suitable data to answer. This paper describes the creation of a dataset to fill the evidence gap in Canada. Robots! is firm-level panel data on robot adoption created using Canadian import data. The data identify a substantial amount of the robot investment in the Canadian economy from 1996 to 2017. Although many robots are imported by robotics wholesalers or programmers for resale, the majority of them can be attributed to their final (direct) adopting firm. The data can be used to study the impact of robot adoption at the economic region, industry or firm-level.
Release date: 2020-11-02
5. Comparison of self-reported and accelerometer-measured physical activity among Canadian youth Archived
Articles and reports: 82-003-X201900700001
Description:
Statistics Canada developed a new Physical Activity for Youth Questionnaire (PAYQ) to address the limitations of previous self-reporting and objective measurement. PAYQ was subsequently implemented in both the Canadian Health Measures Survey (2014-2015) and the Canadian Community Health Survey (2015-2016). Using those surveys, this study compares accelerometer-measured and self-reported physical activity from the new PAYQ among Canadian youth.
Release date: 2019-07-17
6. An Assessment of Non-probabilistic Online Survey Data: Comparing the Carrot Rewards Mobile App Survey to the Canadian Community Health Survey Archived
Articles and reports: 11-633-X2019002
Description:
Survey data collection through mobile devices, such as tablets and smartphones, is underway in Canada. However, little is known about the representativeness of the data collected through these devices. In March 2017, Statistics Canada commissioned survey data collection through the Carrot Rewards Application and included 11 questions on the Carrot Rewards Mobile App Survey (Carrot) drawn from the 2017 Canadian Community Health Survey (CCHS).
Release date: 2019-06-04
7. Canadian Survey on Disability, 2017: Concepts and Methods Guide Archived
Articles and reports: 89-654-X2018001
Description:
The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem.
The 2017 CSD Concepts and Methods Guide is designed to assist CSD data users by providing relevant information on survey content and concepts, sampling design, collection methods, data processing, data quality and product availability. Chapter 1 of this guide provides an overview of the 2017 CSD by introducing the survey's background and objectives. Chapter 2 explains the key concepts and definitions and introduces the indicators measured by the CSD questionnaire modules. Chapters 3 to 6 cover important aspects of survey methodology, from sampling design to data collection and processing. Chapters 7 and 8 cover issues of data quality, including the approaches used to minimize and correct errors throughout all stages of the survey. Users are cautioned against making comparisons with data from the 2012 CSD. Chapter 9 outlines the survey products that are available to the public, including data tables, an analytical article and reference material. Appendices provide more detail on the survey's indicators and other supporting documents for the CSD.
Release date: 2018-11-28
8. Revising the classification of founded and unfounded criminal incidents in the Uniform Crime Reporting Survey Archived
Articles and reports: 85-002-X201800154973
Description:
This Juristat article provides information on the collection, through the Uniform Crime Reporting Survey, of unfounded criminal incidents in Canada, including sexual assaults. It will provide background on the collection of these data and an overview of the actions taken by the Canadian Centre for Justice Statistics - a division at Statistics Canada - and the Police Information and Statistics Committee of the Canadian Association of Chiefs of Police to revise the Uniform Crime Reporting Survey to address data quality and reporting issues, and to reinstate collection of information on unfounded criminal incidents.
Release date: 2018-07-12
9. Sample survey theory and methods: Past, present, and future directions Archived
Articles and reports: 12-001-X201700254888
Description:
We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 1934 landmark paper laid the theoretical foundations for the probability sampling approach to inference from survey samples. Classical sampling books by Cochran, Deming, Hansen, Hurwitz and Madow, Sukhatme, and Yates, which appeared in the early 1950s, expanded and elaborated the theory of probability sampling, emphasizing unbiasedness, model free features, and designs that minimize variance for a fixed cost. During the period 1960-1970, theoretical foundations of inference from survey data received attention, with the model-dependent approach generating considerable discussion. Introduction of general purpose statistical software led to the use of such software with survey data, which led to the design of methods specifically for complex survey data. At the same time, weighting methods, such as regression estimation and calibration, became practical and design consistency replaced unbiasedness as the requirement for standard estimators. A bit later, computer-intensive resampling methods also became practical for large scale survey samples. Improved computer power led to more sophisticated imputation for missing data, use of more auxiliary data, some treatment of measurement errors in estimation, and more complex estimation procedures. A notable use of models was in the expanded use of small area estimation. Future directions in research and methods will be influenced by budgets, response rates, timeliness, improved data collection devices, and availability of auxiliary data, some of which will come from “Big Data”. Survey taking will be impacted by changing cultural behavior and by a changing physical-technical environment.
Release date: 2017-12-21
10. Comments on the Rao and Fuller (2017) paper by Danny Pfeffermann Archived
Articles and reports: 12-001-X201700254894
Description:
This note by Danny Pfeffermann presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21

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Date modified:: 2024-09-21