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All (166) (120 to 130 of 166 results)

121. 2006 Census data capture redesign Archived
Articles and reports: 11-522-X20030017597
Description:
This paper discusses the challenges Statistics Canada faces in changing its method of transferring information from paper into an electronic medium for the 2006 Census. After contracting with Lockheed Martin, data capture will change from direct data entry by humans to a system that uses optical technologies to scan, recognize, process and save most of the information, largely without human intervention.
Release date: 2005-01-26
122. The reengineered 2010 Census Archived
Articles and reports: 11-522-X20030017608
Description:
This paper discusses the re-engineering of the United States' 2010 Census through three highly integrated activities: the American Community Survey (ACS), the MAF/TIGER Enhancements Program, and a program of early and comprehensive planning, development and testing for a 2010 Census with only a short form.
Release date: 2005-01-26
123. Future challenges for methodology for official statistics Archived
Articles and reports: 11-522-X20030017699
Description:
This paper illustrates the link between the strategic needs of a national statistical office (NSO) and the methodological needs that this generates.
Release date: 2005-01-26
124. Using quality and risk to determine investment in official statistics Archived
Articles and reports: 11-522-X20030017716
Description:
This paper examines how risk and quality can be used to assist with investment decisions across the Office for National Statistics (ONS) in the United Kingdom. It discusses the construction of a table developed to provide measures of the strengths and weaknesses of statistical inputs and outputs.
Release date: 2005-01-26
125. User Guide for the Survey of Household Spending, 2003 Archived
Surveys and statistical programs – Documentation: 62F0026M2004003
Geography: Province or territory
Description:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households.
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2004-12-13
126. Stat/Transfer's command files and the efficient transfer of data files Archived
Articles and reports: 12-002-X20040027034
Description:
The use of command files in Stat/Transfer can expedite the transfer of several data sets in an efficient replicable manner. This note outlines a simple step-by-step method for creating command files and provides sample code.
Release date: 2004-10-05
127. A system for variance estimation due to non-response and imputation (SEVANI) Archived
Articles and reports: 11-522-X20020016729
Description:
For most survey samples, if not all, we have to deal with the problem of missing values. Missing values are usually caused by nonresponse (such as refusal of participant or interviewer was unable to contact respondent) but can also be produced at the editing step of the survey in an attempt to resolve problems of inconsistent or suspect responses. The presence of missing values (nonresponse) generally leads to bias and uncertainty in the estimates. To treat this problem, the appropriate use of all available auxiliary information permits the maximum reduction of nonresponse bias and variance. During this presentation, we will define the problem, describe the methodology that SEVANI is based on and discuss potential uses of the system. We will end the discussion by presenting some examples based on real data to illustrate the theory in practice.
In practice, it is very difficult to estimate the nonresponse bias. However, it is possible to estimate the nonresponse variance by assuming that the bias is negligible. In the last decade, many methods were indeed proposed to estimate this variance, and some of these have been implemented in the System for Estimation of Variance due to Nonresponse and Imputation (SEVANI).
The methodology used to develop SEVANI is based on the theory of two-phase sampling where we assume that the second phase of selection is nonresponse. However, contrary to two-phase sampling, an imputation or nonresponse model is required for variance estimation. SEVANI also assumes that nonresponse is treated by reweighting respondent units or by imputing their missing values. Three imputation methods are considered: the imputation of an auxiliary variable, regression imputation (deterministic or random) and nearest-neighbour imputation.
Release date: 2004-09-13
128. Closing remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research Archived
Articles and reports: 11-522-X20020016751
Description:
Closing remarks
Release date: 2004-09-13
129. Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research Archived
Articles and reports: 11-522-X20020016752
Description:
Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research, presented by David Binder.
Release date: 2004-09-13
130. Keynote address Archived
Articles and reports: 11-522-X20020016753
Description:
Keynote Address.
Release date: 2004-09-13

Data (1)

Data (1) ((1 result))

1. National Population Health Survey Overview Archived
Table: 82-567-X
Description:
The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.
This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.
Release date: 1998-07-29

Analysis (105)

Analysis (105) (30 to 40 of 105 results)

31. What is Data? An Introduction to Data Terminology and Concepts Archived
Stats in brief: 89-20-00062020006
Description:
The data terminology and concepts covered in this video are datasets, databases, data protection, data variables, micro and macro data, and statistical information.
Release date: 2020-09-23
32. The Data Journey: What you need to know for successful navigation Archived
Stats in brief: 89-20-00062020007
Description:
In this video you will learn about the steps and activities in the data journey, as well as the foundation supporting it.
Release date: 2020-09-23
33. Data stewardship: An introduction Archived
Stats in brief: 89-20-00062020013
Description:
This video is intended for learners who wish to get a basic understanding of data stewardship. No previous knowledge is required.
By the end of this video, you will be able to answer the following questions: What is data stewardship? What is the difference between data governance and data stewardship? Why is data stewardship important? What are the main roles of data stewards? What are the expected outcomes of a data stewardship program?
Release date: 2020-09-23
34. Data Visualization: An introduction Archived
Stats in brief: 89-20-00062020014
Description:
This video addresses the data visualization competency. By the end of this video, you should have a deeper understanding of data visualization and how it can be used to present data in an interesting and aesthetically pleasing way. We will go over when it should be used, and we’ll give you some examples of the different types of data visualization techniques that exist.
Release date: 2020-09-23
35. Developing Meaningful Categories for Distinguishing Levels of Remoteness in Canada
Articles and reports: 11-633-X2020002
Description:
The concepts of urban and rural are widely debated and vary depending on a country’s geopolitical and sociodemographic composition. In Canada, population centres and statistical area classifications are widely used to distinguish urban and rural communities. However, neither of these classifications precisely classify Canadian communities into urban, rural and remote areas. A group of researchers at Statistics Canada developed an alternative tool called the “remoteness index” to measure the relative remoteness of Canadian communities. This study builds on the remoteness index, which is a continuous index, by examining how it can be classified into five discrete categories of remoteness geographies. When properly categorized, the remoteness index can be a useful tool to distinguish urban, rural and remote communities in Canada, while protecting the privacy and confidentiality of citizens. This study considers five methodological approaches and recommends three methods.
Release date: 2020-08-11
36. International population-based health surveys linked to outcome data: A new resource for public health and epidemiology
Articles and reports: 82-003-X202000700002
Description:
This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.
Release date: 2020-07-29
37. National statistical standards: Tested and trusted Archived
Stats in brief: 11-627-M2020051
Description:
This infographic provides an overview of national statistical standards, explaining what they are and where they are used, the advantages of using them, and the role they play in the collection and dissemination of disaggregated data.
Release date: 2020-07-24
38. Technical Supplement for the June 2020 Consumer Price Index
Articles and reports: 62F0014M2020011
Description:
A summary of methodological treatments as applied to the June 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closure.
Release date: 2020-07-22
39. Accuracy of matching residential postal codes to census geography
Articles and reports: 82-003-X202000300001
Description:
This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.
Release date: 2020-06-17
40. Technical Supplement for the May 2020 Consumer Price Index
Articles and reports: 62F0014M2020009
Description:
A summary of methodological treatments as applied to the May 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closures.
Release date: 2020-06-17

Reference (55)

Reference (55) (0 to 10 of 55 results)

1. Concepts and Methods Guide for the Indigenous Peoples Survey and Indigenous Peoples Survey – Nunavut Inuit Supplement, 2022
Surveys and statistical programs – Documentation: 89-653-X2024002
Description: This guide is intended to provide a detailed review of both the 2022 IPS and IPS–NIS with respect to subject matter and methodological approaches. It is designed to help data users by serving as a guide to the concepts and measures of the survey as well as the technical details of the survey’s design, field work and data processing. This guide is meant to provide users with helpful information on how to use and interpret survey results. The discussion on data quality also allows users to review the strengths and limitations of the data for their particular needs.
Chapter 1 of this guide provides an overview of the 2022 IPS and IPS–NIS by introducing the survey background and objectives. Chapter 2 outlines the survey’s themes and explains the key concepts and definitions used for the survey. Chapters 3 to 6 cover important aspects of the survey methodology, sampling design, data collection and processing. Chapters 7 and 8 review issues of data quality and caution users about comparing 2022 IPS or IPS–NIS data with data from other sources. Chapter 9 outlines the survey products available to the public, including data tables, analytical articles and reference material. The appendices provide a comprehensive list of survey indicators, extra coding categories and standard classifications used on both the IPS and the IPS–NIS. Lastly, a glossary of survey terms and information on confidence intervals is also provided.
Release date: 2024-08-14
2. Guide to the Job Vacancy and Wage Survey
Surveys and statistical programs – Documentation: 75-514-G
Description: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.
Release date: 2024-06-18
3. Guide to the Census of Agriculture
Surveys and statistical programs – Documentation: 32-26-0002
Description:
This reference guide may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the Census of Agriculture.

It provides an overview of the Census of Agriculture communications, content determination, collection, processing, data quality evaluation and dissemination activities. It also summarizes the key changes to the census and other useful information.

Release date: 2022-04-14
4. Multi-year Consolidated Plan for Research, Modelling and Data Development, 2021 to 2023 Archived
Surveys and statistical programs – Documentation: 11-633-X2021005
Description:
The Analytical Studies and Modelling Branch (ASMB) is the research arm of Statistics Canada mandated to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a broad range of data sources and modelling techniques to address the information needs of a broad range of government, academic and public sector partners and stakeholders through analysis and research, modeling and predictive analytics, and data development. The branch strives to deliver relevant, high-quality, timely, comprehensive, horizontal and integrated research and to enable the use of its research through capacity building and strategic dissemination to meet the user needs of policy makers, academics and the general public.
This Multi-year Consolidated Plan for Research, Modelling and Data Development outlines the priorities for the branch over the next two years.
Release date: 2021-08-12
5. Statistics Canada Data Strategy
Surveys and statistical programs – Documentation: 89-26-0003
Description:
Statistics Canada Data Strategy (SCDS) provides a course of action for managing and leveraging the agency’s data assets to ensure their optimal use and value while maintaining public trust. As Statistics Canada is the nation’s trusted provider of high-quality data and information to support evidence-based policy and decision making, the SCDS also naturally includes the agency’s plan for providing support and data expertise to other government organizations (federal, provincial and territorial), non-governmental organizations, the private sector, academia, and other national and international communities).
The SCDS provides a roadmap for how Statistics Canada will continue to govern and manage its valuable data assets as part of its modernization agenda and in alignment with and response to other federal government strategies and initiatives. These federal strategies include the Data Strategy for the Federal Public Service, Canada’s 2018-2020 National Action Plan on Open Government, and the Treasury Board Secretariat Digital Operations Strategic Plan: 2018-2022.
Release date: 2020-04-30
6. National Household Survey: Aboriginal Peoples
Surveys and statistical programs – Documentation: 99-011-X
Description:
This topic presents data on the Aboriginal peoples of Canada and their demographic characteristics. Depending on the application, estimates using any of the following concepts may be appropriate for the Aboriginal population: (1) Aboriginal identity, (2) Aboriginal ancestry, (3) Registered or Treaty Indian status and (4) Membership in a First Nation or Indian band. Data from the 2011 National Household Survey are available for the geographical locations where these populations reside, including 'on reserve' census subdivisions and Inuit communities of Inuit Nunangat as well as other geographic areas such as the national (Canada), provincial and territorial levels.
Analytical products
The analytical document provides analysis on the key findings and trends in the data, and is complimented with the short articles found in NHS in Brief and the NHS Focus on Geography Series.
Data products
The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.
Release date: 2019-10-29
7. Classifying Cannabis in the Canadian Statistical System Archived
Surveys and statistical programs – Documentation: 11-621-M2018105
Description:
Statistics Canada needs to respond to the legalization of cannabis for non-medical use by measuring various aspects of the introduction of cannabis in the Canadian economy and society. An important part of measuring the economy and society is using statistical classifications. It is common practice with classifications that they are updated and revised as new industries, products, occupations and educational programs are introduced into the Canadian economy and society. This paper describes the changes to the various statistical classifications used by Statistics Canada in order to measure the introduction of legal non-medical cannabis.
Release date: 2019-07-24
8. Analytical Studies Branch Annual Consolidated Plan for Research, Data Development and Modelling, 2019/2020 Archived
Surveys and statistical programs – Documentation: 11-633-X2019001
Description:
The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.
Release date: 2019-05-29
9. Transition of Labour Force Survey Data Processing to the Social Survey Processing Environment (SSPE) Archived
Surveys and statistical programs – Documentation: 75-005-M2019001
Description:
The production of statistics from the Labour Force Survey (LFS) involves many activities, one of which is data processing. This step involves the verification and correction of survey data when required in order to produce microdata files. Beginning in January 2019, LFS processing will be transitioned to a new system, the Social Survey Processing Environment. This document describes the development and testing that preceded the implementation of the new system, and demonstrates that the transition is expected to have minimal impact on LFS estimates and be transparent to users of LFS data.
Release date: 2019-02-08
10. Methodology of the Canadian Labour Force Survey
Surveys and statistical programs – Documentation: 71-526-X
Description:
The Canadian Labour Force Survey (LFS) is the official source of monthly estimates of total employment and unemployment. Following the 2011 census, the LFS underwent a sample redesign to account for the evolution of the population and labour market characteristics, to adjust to changes in the information needs and to update the geographical information used to carry out the survey. The redesign program following the 2011 census culminated with the introduction of a new sample at the beginning of 2015. This report is a reference on the methodological aspects of the LFS, covering stratification, sampling, collection, processing, weighting, estimation, variance estimation and data quality.
Release date: 2017-12-21

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Date modified:: 2024-09-23

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