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All (329)

All (329) (0 to 10 of 329 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. Comments by Françoise Dupont on “Jean-Claude Deville’s contributions to survey theory and official statistics”
Articles and reports: 12-001-X202300200014
Description: Many things have been written about Jean-Claude Deville in tributes from the statistical community (see Tillé, 2022a; Tillé, 2022b; Christine, 2022; Ardilly, 2022; and Matei, 2022) and from the École nationale de la statistique et de l’administration économique (ENSAE) and the Société française de statistique. Pascal Ardilly, David Haziza, Pierre Lavallée and Yves Tillé provide an in-depth look at Jean-Claude Deville’s contributions to survey theory. To pay tribute to him, I would like to discuss Jean-Claude Deville’s contribution to the more day-to-day application of methodology for all the statisticians at the Institut national de la statistique et des études économiques (INSEE) and at the public statistics service. To do this, I will use my work experience, and particularly the four years (1992 to 1996) I spent working with him in the Statistical Methods Unit and the discussions we had thereafter, especially in the 2000s on the rolling census.
Release date: 2024-01-03
4. The anchoring method: Estimation of interviewer effects in the absence of interpenetrated sample assignment
Articles and reports: 12-001-X202200100005
Description:
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
5. Introduction to the Canadian Survey on Disability, American Sign Language
Stats in brief: 11-629-X2022001
Description:
This American Sign Language video provides an introduction to the Canadian Survey on Disability. Specifically, it includes a brief description of the benefits of participating in the survey, what participating in the survey involves, how respondents were selected to participate, and information on privacy and confidentiality.

Release date: 2022-05-11
6. Introduction to Some Key Elements of a Well-Designed Questionnaire
19-22-0010
Description:
In this session, we will look at key elements of a questionnaire that encourage respondents to complete a survey. The focus will be on elements such as the introduction, accompanying text as well as appeal, and not on the different ways of formulating the questions. The objective is to provide those who occasionally design questionnaires practical advice to help make a questionnaire stand out. This session is intended for beginners. Some familiarity with basic statistical concepts would be beneficial/advantageous but not required.

https://www.statcan.gc.ca/en/services/information/19220010

Release date: 2022-03-15
7. The Journey of Statistics Canada Data: Why it Matters to You Archived
Stats in brief: 11-627-M2022016
Description:
This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.

Release date: 2022-02-28
8. Standard Geographical Classification (SGC) Volume II. Reference Maps
Geographic files and documentation: 12-572-X
Description:
The Standard Geographical Classification (SGC) provides a systematic classification structure that categorizes all of the geographic area of Canada. The SGC is the official classification used in the Census of Population and other Statistics Canada surveys.
The classification is organized in two volumes: Volume I, The Classification and Volume II, Reference Maps.
Volume II contains reference maps showing boundaries, names, codes and locations of the geographic areas in the classification. The reference maps show census subdivisions, census divisions, census metropolitan areas, census agglomerations, census metropolitan influenced zones and economic regions. Definitions for these terms are found in Volume I, The Classification. Volume I describes the classification and related standard geographic areas and place names.
The maps in Volume II can be downloaded in PDF format from our website.
Release date: 2022-02-09
9. Disaggregated data action plan: Why it matters to you Archived
Stats in brief: 11-627-M2021092
Description:
This infographic provides a high-level overview of Statistics Canada’s Disaggregated Data Action Plan, which will produce detailed statistical information on specific population groups. This plan is essential to highlight the lived experiences of diverse groups of people in Canada, such as women, Indigenous peoples, racialized populations and people living with disabilities.

Release date: 2021-12-08
10. Physician experiences during the COVID-19 pandemic in the United States: Adapting an annual survey to assess pandemic-related challenges Archived
Articles and reports: 11-522-X202100100007
Description: The National Center for Health Statistics (NCHS) annually administers the National Ambulatory Medical Care Survey (NAMCS) to assess practice characteristics and ambulatory care provided by office-based physicians in the United States, including interviews with sampled physicians. After the onset of the COVID-19 pandemic, NCHS adapted NAMCS methodology to assess the impacts of COVID-19 on office-based physicians, including: shortages of personal protective equipment; COVID-19 testing in physician offices; providers testing positive for COVID-19; and telemedicine use during the pandemic. This paper describes challenges and opportunities in administering the 2020 NAMCS and presents key findings regarding physician experiences during the COVID-19 pandemic.
Key Words: National Ambulatory Medical Care Survey (NAMCS); Office-based physicians; Telemedicine; Personal protective equipment.
Release date: 2021-10-22

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Analysis (231)

Analysis (231) (0 to 10 of 231 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. Comments by Françoise Dupont on “Jean-Claude Deville’s contributions to survey theory and official statistics”
Articles and reports: 12-001-X202300200014
Description: Many things have been written about Jean-Claude Deville in tributes from the statistical community (see Tillé, 2022a; Tillé, 2022b; Christine, 2022; Ardilly, 2022; and Matei, 2022) and from the École nationale de la statistique et de l’administration économique (ENSAE) and the Société française de statistique. Pascal Ardilly, David Haziza, Pierre Lavallée and Yves Tillé provide an in-depth look at Jean-Claude Deville’s contributions to survey theory. To pay tribute to him, I would like to discuss Jean-Claude Deville’s contribution to the more day-to-day application of methodology for all the statisticians at the Institut national de la statistique et des études économiques (INSEE) and at the public statistics service. To do this, I will use my work experience, and particularly the four years (1992 to 1996) I spent working with him in the Statistical Methods Unit and the discussions we had thereafter, especially in the 2000s on the rolling census.
Release date: 2024-01-03
4. The anchoring method: Estimation of interviewer effects in the absence of interpenetrated sample assignment
Articles and reports: 12-001-X202200100005
Description:
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
5. Introduction to the Canadian Survey on Disability, American Sign Language
Stats in brief: 11-629-X2022001
Description:
This American Sign Language video provides an introduction to the Canadian Survey on Disability. Specifically, it includes a brief description of the benefits of participating in the survey, what participating in the survey involves, how respondents were selected to participate, and information on privacy and confidentiality.

Release date: 2022-05-11
6. The Journey of Statistics Canada Data: Why it Matters to You Archived
Stats in brief: 11-627-M2022016
Description:
This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.

Release date: 2022-02-28
7. Disaggregated data action plan: Why it matters to you Archived
Stats in brief: 11-627-M2021092
Description:
This infographic provides a high-level overview of Statistics Canada’s Disaggregated Data Action Plan, which will produce detailed statistical information on specific population groups. This plan is essential to highlight the lived experiences of diverse groups of people in Canada, such as women, Indigenous peoples, racialized populations and people living with disabilities.

Release date: 2021-12-08
8. Physician experiences during the COVID-19 pandemic in the United States: Adapting an annual survey to assess pandemic-related challenges Archived
Articles and reports: 11-522-X202100100007
Description: The National Center for Health Statistics (NCHS) annually administers the National Ambulatory Medical Care Survey (NAMCS) to assess practice characteristics and ambulatory care provided by office-based physicians in the United States, including interviews with sampled physicians. After the onset of the COVID-19 pandemic, NCHS adapted NAMCS methodology to assess the impacts of COVID-19 on office-based physicians, including: shortages of personal protective equipment; COVID-19 testing in physician offices; providers testing positive for COVID-19; and telemedicine use during the pandemic. This paper describes challenges and opportunities in administering the 2020 NAMCS and presents key findings regarding physician experiences during the COVID-19 pandemic.
Key Words: National Ambulatory Medical Care Survey (NAMCS); Office-based physicians; Telemedicine; Personal protective equipment.
Release date: 2021-10-22
9. Science and survey management
Articles and reports: 12-001-X202100100006
Description:
It is now possible to manage surveys using statistical models and other tools that can be applied in real time. This paper focuses on three developments that reflect the attempt to take a more scientific approach to the management of survey field work: 1) the use of responsive and adaptive designs to reduce nonresponse bias, other sources of error, or costs; 2) optimal routing of interviewer travel to reduce costs; and 3) rapid feedback to interviewers to reduce measurement error. The article begins by reviewing experiments and simulation studies examining the effectiveness of responsive and adaptive designs. These studies suggest that these designs can produce modest gains in the representativeness of survey samples or modest cost savings, but can also backfire. The next section of the paper examines efforts to provide interviewers with a recommended route for their next trip to the field. The aim is to bring interviewers’ field work into closer alignment with research priorities while reducing travel time. However, a study testing this strategy found that interviewers often ignore such instructions. Then, the paper describes attempts to give rapid feedback to interviewers, based on automated recordings of their interviews. Interviewers often read questions in ways that affect respondents’ answers; correcting these problems quickly yielded marked improvements in data quality. All of the methods are efforts to replace the judgment of interviewers, field supervisors, and survey managers with statistical models and scientific findings.
Release date: 2021-06-24
10. Gathering Data: Things to Consider Before Gathering Data Archived
Stats in brief: 89-20-00062020005
Description:
Data gathering involves first determining what data you need, then where to find it, how to get it and how to keep it safe. This module introduces you to things you should consider when gathering data.
Release date: 2020-09-23

Reference (98)

Reference (98) (10 to 20 of 98 results)

11. Integration of the Electronic Questionnaire: Impact on the Collection Process and Results of the Survey of Employment, Payrolls and Hours Archived
Surveys and statistical programs – Documentation: 11-522-X201300014260
Description:
The Survey of Employment, Payrolls and Hours (SEPH) produces monthly estimates and determines the month-to-month changes for variables such as employment, earnings and hours at detailed industrial levels for Canada, the provinces and territories. In order to improve the efficiency of collection activities for this survey, an electronic questionnaire (EQ) was introduced in the fall of 2012. Given the timeframe allowed for this transition as well as the production calendar of the survey, a conversion strategy was developed for the integration of this new mode. The goal of the strategy was to ensure a good adaptation of the collection environment and also to allow the implementation of a plan of analysis that would evaluate the impact of this change on the results of the survey. This paper will give an overview of the conversion strategy, the different adjustments that were made during the transition period and the results of various evaluations that were conducted. For example, the impact of the integration of the EQ on the collection process, the response rate and the follow-up rate will be presented. In addition, the effect that this new collection mode has on the survey estimates will also be discussed. More specifically, the results of a randomized experiment that was conducted in order to determine the presence of a mode effect will be presented.
Release date: 2014-10-31
12. Testing Collection Strategies for Online Self-Reporting Surveys Archived
Surveys and statistical programs – Documentation: 11-522-X201300014278
Description:
In January and February 2014, Statistics Canada conducted a test aiming at measuring the effectiveness of different collection strategies using an online self-reporting survey. Sampled units were contacted using mailed introductory letters and asked to complete the online survey without any interviewer contact. The objectives of this test were to measure the take-up rates for completing an online survey, and to profile the respondents/non-respondents. Different samples and letters were tested to determine the relative effectiveness of the different approaches. The results of this project will be used to inform various social surveys that are preparing to include an internet response option in their surveys. The paper will present the general methodology of the test as well as results observed from collection and the analysis of profiles.
Release date: 2014-10-31
13. Note to Users of Data from the 2010 Survey of Household Spending Archived
Notices and consultations: 62F0026M2012002
Description:
Starting with the 2010 survey year, the Survey of Household Spending (SHS) has used a different collection methodology from previous surveys. The new methodology combines a questionnaire and a diary of expenses. Also, data collection is now continuous throughout the year. This note provides information to users and prospective users of data from the SHS about the methodological differences between the redesigned SHS and the former SHS.
Release date: 2012-04-25
14. Evaluation of the Strengths and Difficulties Questionnaire Archived
Surveys and statistical programs – Documentation: 89-634-X2009008
Geography: Canada
Description:
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
15. Agricultural Water Use Survey 2007, Methodology Report Archived
Surveys and statistical programs – Documentation: 16-001-M2009008
Description:
In 2008, Statistics Canada conducted the first Agricultural Water Use Survey. This pilot survey is part of the Canadian Environment Sustainability Indicators initiative and collects information on volumes of water used for irrigation, irrigated areas, irrigation practices and the quality of water used for agricultural purposes. This technical paper describes the methodology used for the pilot survey and includes recommendations for future cycles of the survey. The validation process seems to indicate that the method used to estimate the volumes of water used and the irrigated areas calculated underestimates the results. The report gives recommendations to minimize this bias in the next iterations of the survey. First, it is recommended to simplify the level of information collected by the survey; to review the sampling methodology; and to examine other means of collecting information on volumes of water used for irrigation. This pilot version of the survey remains a reliable source for consistent data on agricultural water use.
Release date: 2009-06-26
16. Content of the Survey of Labour and Income Dynamics Part B - Income and Wealth Content Archived
Surveys and statistical programs – Documentation: 75F0002M1992001
Description:
Starting in 1994, the Survey of Labour and Income Dynamics (SLID) will follow individuals and families for at least six years, tracking their labour market experiences, changes in income and family circumstances. An initial proposal for the content of SLID, entitled "Content of the Survey of Labour and Income Dynamics : Discussion Paper", was distributed in February 1992.
That paper served as a background document for consultation with and a review by interested users. The content underwent significant change during this process. Based upon the revised content, a large-scale test of SLID will be conducted in February and May 1993.
The present document outlines the income and wealth content to be tested in May 1993. This document is really a continuation of SLID Research Paper Series 92-01A, which outlines the demographic and labour content used in the January /February 1993 test.
Release date: 2008-02-29
17. Survey of Labour and Income Dynamics: Possible Interview Dates Archived
Surveys and statistical programs – Documentation: 75F0002M1992002
Description:
When a survey respondent is asked to recall various events, it is known that the quality of the responses diminishes as the length of recall increases. On the other hand, increasing the frequency of data collection increases both the costs of collection and the burden on the respondents. The paper examines options which attempt to strike a reasonable balance between these factors. As it relates to this decision, the paper also describes how the sample has been designed to ensure that it remains representative of the target population, both for a given year and over time.
The conclusion is that, at this time, SLID should collect labour data in January to cover the previous calendar year and to collect income data in May, again to cover the previous calendar year.
Release date: 2008-02-29
18. Trade in Culture Services A Handbook of Concepts and Methods Archived
Surveys and statistical programs – Documentation: 81-595-M2007056
Geography: Canada
Description:
This handbook discusses the collection and interpretation of statistical data on Canada's trade in culture services.
Release date: 2007-10-31
19. Survey of Labour and Income Dynamics (SLID): Preliminary, Labour and Income Interview Questionnaire for Reference Year 2005 Archived
Surveys and statistical programs – Documentation: 75F0002M2007001
Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey which collects information related to the standard of living of individuals and their families. By interviewing the same people over a period of six years, changes and the causes of these changes can be monitored.
A preliminary interview of background information is collected for all respondents aged 16 and over, who enter the SLID sample. Preliminary interviews are conducted for new household members during their first labour and income interview after they join the household. A labour and income interview is collected each year for all respondents 16 years of age and over.
The purpose of this document is to present the questions, possible responses and question flows for the 2006 preliminary, labour and income questionnaire (for the 2005 reference year).
Release date: 2007-05-10
20. Survey of Labour and Income Dynamics (SLID): Entry Exit Component Interview Questionnaire for Reference Year 2005 Archived
Surveys and statistical programs – Documentation: 75F0002M2007002
Description:
The Survey of Labour and Income Dynamics (SLID) conducts an annual labour and income interview in January. The data are collected using computer-assisted interviewing; thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for labour and income are documented in another SLID research paper. This document presents the information for the 2006 entry and exit portions of the labour and income interview (for the 2005 reference year).
The entry exit component consists of five separate modules. The entry module is the first set of data collected. It is information collected to update the place of residence, housing conditions and expenses, as well as the household composition. For each person identified in entry, the demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the relationships module identifies (or updates) the relationship between each respondent and every other household member. The exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the tracing component is also included in this document.
Release date: 2007-05-10

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Date modified:: 2024-04-20