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All (162) (130 to 140 of 162 results)

  • 131. A New Understanding of Post-secondary Education in Canada: A Discussion Paper Archived
    Articles and reports: 81-595-M2003011
    Geography: Canada
    Description:

    This report presents a rethinking of the fundamental concepts used to guide statistical work on postsecondary education.

    Release date: 2003-12-23
  • 132. User Guide for the Survey of Household Spending, 2002 Archived
    Surveys and statistical programs – Documentation: 62F0026M2003002
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Conducted in January, February and March after the reference year, data are collected via personal interview using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).

    Release date: 2003-12-17
  • 133. Age, Sex, Marital Status and Common-law Status, 2001 Census Technical Report (Reference Products: 2001 Census) Archived
    Surveys and statistical programs – Documentation: 92-380-X
    Description:

    This report focuses on five demographic variables: date of birth, age, sex, marital status and common-law status. The report describes how the data were collected, verified, processed, edited and imputed. The final section covers how the data were evaluated.

    Release date: 2003-10-28
  • 134. Methodological issues in the development and use of statistical indicators for International comparisons Archived
    Articles and reports: 12-001-X20030016600
    Description:

    International comparability of Official Statistics is important for domestic uses within any country. But international comparability matters also for the international uses of statistics; in particular the development and monitoring of global policies and assessing economic and social development throughout the world. Additionally statistics are used by international agencies and bilateral technical assistance programmes to monitor the impact of technical assistance.The first part of this paper describes how statistical indicators are used by the United Nations and other agencies. The framework of statistical indicators for these purposes is described ans some issues concerning the choice and quality of these indicators are identified.In the past there has been considerable methodological research in support of Official Statistics particularly by the strongest National Statistical Offices and some academics. This has established the basic methodologies for Official Statistics and has led to considerable developments and quality improvements over time. Much has been achieved. However the focus has, to an extent, been on national uses of Official Statistics. These developments have, of course, benefited the international uses, and some specific developments have also occurred. There is however a need to foster more methodological development on the international requirements. In the second part of this paper a number of examples illustrate this need.

    Release date: 2003-07-31
  • 135. In this issue (Vol. 29, no. 1) Archived
    Articles and reports: 12-001-X20030018802
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2003-07-31
  • 136. User Guide for the Survey of Household Spending, 2001 Archived
    Surveys and statistical programs – Documentation: 62F0026M2002002
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).

    Release date: 2002-12-11
  • 137. The development of the UK annual business inquiry Archived
    Articles and reports: 11-522-X20010016263
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    This paper describes the Annual Business Inquiry (ABI) project to integrate the Office for National Statistics' (ONS) main, annual business surveys, regardless of economic sectors. The ABI project also brings together employment and financial data surveys and is capable of generating a wide range of subnational analyses, another objective of the development. Methodological aspects covered by the paper include sample design; estimation and outlier treatment; apportionment of data from reporting units to local units (individual sites) and the methodology for subnational and small area estimation. The subnational methodology involves the use of logistic and loglinear models.

    Release date: 2002-09-12
  • 138. Redesign of the French Census of Population Archived
    Articles and reports: 11-522-X20010016264
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    Conducting a census by traditional methods is becoming more difficult. The possibility of cross-linking administrative files provides an attractive alternative to conducting periodic censuses (Laihonen, 2000; Borchsenius, 2000). This method was proposed in a recent article by Nathan (2001). The Institut National de la Statistique et des Études Économiques (INSEE) census redesign is based on the idea of a "continuous census," originally suggested by Kish (1981, 1990) and Horvitz (1986). The first approach, which could be feasible in France, can be found in Deville and Jacod's paper (1996). This particular article reviews the methodological developments and approaches used since INSEE started its population census redesign program.

    Release date: 2002-09-12
  • 139. The French survey of homeless people using shelters and soup kitchens Archived
    Articles and reports: 11-522-X20010016272
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The French survey of homeless people using support services is unique because of its scope and the conditions under which it was conducted. About 4,000 users of shelters and soup kitchens were surveyed in January and February 2001. Because some users move from one service point to another, it was necessary to collect precise data on the number of times each respondent used such services (meals and person-nights) during the week preceding the survey. Data quality is extremely important since it has a major impact on the sampling weight assigned to each individual.

    Release date: 2002-09-12
  • 140. Survey of Innovation 1999, Methodological Framework: Decisions Taken and Lessons Learned Archived
    Articles and reports: 88F0006X2002012
    Description:

    Statistics Canada's Survey of Innovation 1999 surveyed manufacturing in the fall of 1999. It was the first innovation survey of selected natural resource industries. This paper is part of a series of working papers based on the Survey of Innovation 1999. This paper details the survey methodology, including decisions taken and lessons learned regarding survey design.

    Release date: 2002-06-28
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 (102)

Analysis (102) (70 to 80 of 102 results)

  • 71. In this issue (Vol. 30, no. 2) Archived
    Articles and reports: 12-001-X20040029187
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2005-02-03
  • 72. 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
  • 73. 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
  • 74. 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
  • 75. 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
  • 76. 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
  • 77. 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
  • 78. 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
  • 79. 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
  • 80. Keynote address Archived
    Articles and reports: 11-522-X20020016753
    Description:

    Keynote Address.

    Release date: 2004-09-13
Reference (54)

Reference (54) (0 to 10 of 54 results)

  • 1. 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: 2023-05-25
  • 2. 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
  • 3. 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
  • 4. 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
  • 5. 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
  • 6. 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
  • 7. 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
  • 8. 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
  • 9. 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
  • 10. Longitudinal Immigration Database (IMDB) Technical Report, 2014 Archived
    Surveys and statistical programs – Documentation: 11-633-X2017007
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 30 years. The IMDB combines administrative files on immigrant admissions and non-permanent resident permits from Immigration, Refugees and Citizenship Canada (IRCC) with tax files from the Canadian Revenue Agency (CRA). Information is available for immigrant taxfilers admitted since 1980. Tax records for 1982 and subsequent years are available for immigrant taxfilers.

    This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2017-06-16
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