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231. Statistical services: Preparing for the future Archived
Articles and reports: 12-001-X19990024875
Geography: Canada
Description:
Dr. Fellegi considers the challenges facing government statistical agencies and strategies to prepare for these challenges. He first describes the environment of changing information needs and the social, economic and technological developments driving this change. He goes on to describe both internal and external elements of a strategy to meet these evolving needs. Internally, a flexible capacity for survey taking and information gathering must be developed. Externally, contacts must be developed to ensure continuing relevance of statistical programs while maintaining non-political objectivity.
Release date: 2000-03-01
232. Managing data quality in a statistical agency Archived
Articles and reports: 12-001-X19990024877
Description:
In 1999 Statistics Sweden outlined a proposal for improved quality within the European Statistical System (ESS). The ESS comprises Eurostat and National Statistical Institutes (NSIs) associated with Eurostat. ... Basically Statistics Sweden proposed the creation of a LEG [Leadership Expert Group] on Quality].
Release date: 2000-03-01
233. Variance estimation for complex statistics and estimators: Linearization and residual techniques Archived
Articles and reports: 12-001-X19990024882
Description:
Jean-Claude Deville shows how to use simple tools to calculate the variance of a complex estimator using a linearization technique. The process is that of a software used at INSEE for estimation of the variance of a complex estimator. It gives a way of computing the variance of a total estimated by the simple expansion estimator. In the case of a complex statistic, the process uses a derived variable that reduces the computations to those of the simple expansion estimator. Multiple examples are given to illustrate the process.
Release date: 2000-03-01
234. Data Integration - International Trade Data and Manufacturing Shipments Data Archived
Journals and periodicals: 65F0020X
Description:
There has long been demand by both industry associations and government departments to combine manufacturing shipments data with trade data. Users are combining the two sources of data, for reasons such as determining an estimate of the domestic market for a given commodity, and using the resulting information for decision-making. This paper attempts to determine the feasibility of integrating manufacturing shipments data and trade data at the commodity level.
Release date: 2000-02-02
235. Multilevel modeling of complex data structures with multiple unit membership and missing unit identifications Archived
Surveys and statistical programs – Documentation: 11-522-X19980015018
Description:
This paper presents a method for handling longitudinal data in which individuals belong to more than one unit at a higher level, and also where there is missing information on the identification of the units to which they belong. In education, for example, a student might be classified as belonging sequentially to a particular combination of primary and secondary school, but for some students, the identity of either the primary or secondary school may be unknown. Likewise, in a longitudinal study, students may change school or class from one period to the next, so 'belonging' to more than one higher level unit. The procedures used to model these stuctures are extensions of a random effects cross-classified multilevel model.
Release date: 1999-10-22
236. Estimation of gross flows from complex surveys adjusting for missing data, classification errors and informative sampling Archived
Surveys and statistical programs – Documentation: 11-522-X19980015022
Description:
This article extends and further develops the method proposed by Pfeffermann, Skinner and Humphreys (1998) for the estimation of gross flows in the presence of classification errors. The main feature of that method is the use of auxiliary information at the individual level which circumvents the need for validation data for estimating the misclassification rates. The new developments in this article are the establishment of conditions for model identification, a study of the properties of a model goodness of fit statistic and modifications to the sample likelihood to account for missing data and informative sampling. The new developments are illustrated by a small Monte-Carlo simulation study.
Release date: 1999-10-22
237. Marginal models for repeated observations: Inference with survey data Archived
Surveys and statistical programs – Documentation: 11-522-X19980015029
Description:
In longitudinal surveys, sample subjects are observed over several time points. This feature typically leads to dependent observations on the same subject, in addition to the customary correlations across subjects induced by the sample design. Much research in the literature has focussed on modeling the marginal mean of a response as a function of covariates. Liang and Zeger (1986) used generalized estimating equations (GEE), requiring only correct specification of the marginal mean, and obtained standard errors of regression parameter estimates and associated Wald tests, assuming a "working" correlation structure for the repeated measurements on a sample subject. Rotnitzky and Jewell (1990) developed quasi-score tests and Rao-Scott adjustments to "working" quasi-score tests under marginal models. These methods are asymptotically robust to misspecification of the within-subject correlation structure, but assume independence of sample subjects which is not satisfied for complex longitudinal survey data based on stratified multi-stage sampling. We proposed asymptotically valid Wald and quasi-score tests for longitudinal survey data, using the Taylor Linearization and jackknife methods. Alternative tests, based on Rao-Scott adjustments to naive tests that ignore survey design features and on Bonferroni-t, are also developed. These tests are particularly useful when the effective degrees of freedom, usually taken as the total number of sample primary units (clusters) minus the number of strata, is small.
Release date: 1999-10-22
238. Estimating the incidence of dementia from longitudinal two-phase sampling with nonignorable missing data Archived
Surveys and statistical programs – Documentation: 11-522-X19980015030
Description:
Two-phase sampling designs have been conducted in waves to estimate the incidence of a rare disease such as dementia. Estimation of disease incidence from longitudinal dementia study has to appropriately adjust for data missing by death as well as the sampling design used at each study wave. In this paper we adopt a selection model approach to model the missing data by death and use a likelihood approach to derive incidence estimates. A modified EM algorithm is used to deal with data missing by sampling selection. The non-paramedic jackknife variance estimator is used to derive variance estimates for the model parameters and the incidence estimates. The proposed approaches are applied to data from the Indianapolis-Ibadan Dementia Study.
Release date: 1999-10-22
239. Weighting and variance estimation for the exploration of possible time trends in data from the U.S. Third National Health and Nutrition Examination Survey Archived
Surveys and statistical programs – Documentation: 11-522-X19980015031
Description:
The U.S. Third National Health and Nutrition Examination Survey (NHANES III) was carried out from 1988 to 1994. This survey was intended primarily to provide estimates of cross-sectional parameters believed to be approximately constant over the six-year data collection period. However, for some variable (e.g., serum lead, body mass index and smoking behavior), substantive considerations suggest the possible presence of nontrivial changes in level between 1988 and 1994. For these variables, NHANES III is potentially a valuable source of time-change information, compared to other studies involving more restricted populations and samples. Exploration of possible change over time is complicated by two issues. First, there was of practical concern because some variables displayed substantial regional differences in level. This was of practical concern because some variables displayed substantial regional differences in level. Second, nontrivial changes in level over time can lead to nontrivial biases in some customary NHANES III variance estimators. This paper considers these two problems and discusses some related implications for statistical policy.
Release date: 1999-10-22
240. Multivariate logistic regression for data from complex surveys Archived
Surveys and statistical programs – Documentation: 11-522-X19980015036
Description:
Multivariate logistic regression, introduced by Glonek and McCullagh (1995) as a generalisation of logistic regression, is useful in the analysis of longitudinal data as it allows for dependent repeated observations of a categorical variable and for incomplete response profiles. We show how the method can be extended to deal with data from complex surveys and we illustrate it on data from the Swiss Labour Force Survey. The effect of the sampling weights on the parameter estimates and their standard errors is considered.
Release date: 1999-10-22

Data (7)

Data (7) ((7 results))

1. Hierarchical File, 2006 Census (Public Use Microdata Files)
Public use microdata: 95M0029X
Description: This hierarchical file provides data on the characteristics of the population. The 2006 Census Public Use Microdata Files (PUMFs) contain samples of anonymous responses to the 2006 Census questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses. The individual file was released on March 4, 2010 and the hierarchical file is available as of today, May 2, 2011.
Microdata files are unique among census products in that they give users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other census products can be created or relationships between variables can be analysed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.

Most of the subject matter covered by the census is included in the microdata files. To ensure the respondents' anonymity, geographic identifiers have been restricted to provinces/territories and large metropolitan areas.

This product, offered on CD-ROM, contains the data file (in ASCII format), user documentation and SAS and SPSS program source codes to enable you to read the set of records. Note: users will require knowledge of data manipulation and retrieval software such as SAS or SPSS to be able to use this product.
Release date: 2023-09-12
2. Canadian Statistical Geospatial Explorer Hub Archived
Data Visualization: 71-607-X2020010
Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.
Release date: 2023-01-24
3. Canadian Social Environment Typology: Data File and User Guide Archived
Table: 17-20-00022022001
Description: The Canadian Social Environment Typology (CanSET) data file on cluster membership by dissemination area is a downloadable data file. The file includes information on the variables that were used to create the clusters and a data table with cluster options on membership by dissemination area.
Release date: 2022-05-09
4. National Income and Expenditure Accounts: Data Tables Archived
Table: 13-019-X
Description: These data tables provide quarterly information on Canada's National Income and Expenditure Accounts (NIEA), 1961-2012. It contains seasonally adjusted data on gross domestic product (GDP) by income and by expenditure, saving and investment, borrowing and lending of each of four broad sectors of the economy: (i) persons and unincorporated businesses, (ii) corporate and government business enterprises, (iii) governments and (iv) non-residents. Information is also provided for selected subsectors. The tables include data beginning in 1961, and is no longer being released.
Release date: 2012-08-31
5. Livestock Statistics Archived
Table: 23-603-X
Description:
This publication contains data from 1976 to date for major livestock series: cattle and calves, hogs, sheep and lambs, wool, furs, trade and prices, stocks of frozen meats, and apparent per capita meat consumption. Data highlights are also included. New and revised estimates for these data are released four times a year.
Release date: 2003-03-05
6. Trade and Transportation: The Impact of the 1995 Transborder Air Services Accord Archived
Table: 51F0007X
Description:
For most of the post-war period, Canada and the United States have utilized an open regime to govern trade relations between the two countries. Such has not always been the case for transborder air services, however. In 1966, the two countries signed an air services accord (ASA) that governed commercial air services between the two. The 1966 accord was quite restrictive, limiting entry and price competition in transborder markets. This restrictive agreement governed Canada-U.S. air service for almost 30 years, finally being replaced in 1995 with a new ASA that has granted entry and pricing freedom in transborder markets.
Release date: 2001-06-05
7. Data Products: Dimensions Series: 1996 Census of Population Archived
Table: 94F0005X
Description:
This CD-ROM is part of the Dimensions Series which provides an in-depth analysis of census data. More than 150 tables represent a variety of special interest subjects linking a number of Census variables. Statistical information is presented on themes of considerable public interest with some tables examining historical trends and other tables detailing significant sub-populations. Data for geographical levels of Canada, Provinces and Territories are most widely represented with some data tables produced at the Census Metropolitan Area level. The Portrait of Official Language Communities in Canada and the Portrait of Aboriginal Population of Canada contain some information at the community level.Some tables show comparisons with data from earlier censuses to provide an historical perspective.
Release date: 1999-04-06

Analysis (187)

Analysis (187) (60 to 70 of 187 results)

61. Can we make official statistics with self-selection web surveys? Archived
Articles and reports: 11-522-X200800010989
Description:
At first sight, web surveys seem to be an interesting and attractive means of data collection. They provide simple, cheap and fast access to a large group of people. However, web surveys also suffer from methodological problems. Outcomes of web surveys may be severally biased, particularly if self-selection of respondents is applied instead of proper probability sampling. Under-coverage is also a serious problem. This raises the question whether web surveys can be used for data collection in official statistics. This paper addresses the problems under-coverage and self-selection in web surveys, and attempts to describe how Internet data collection can be incorporated in normal data collection practices of official statistics.
Release date: 2009-12-03
62. Interaction between data collection and sample design: A plus in a complex selection process? Archived
Articles and reports: 11-522-X200800010990
Description:
The purpose of the Quebec Health and Social Services User Satisfaction Survey was to provide estimates of user satisfaction for three types of health care institutions (hospitals, medical clinics and CLSCs). Since a user could have visited one, two or all three types, and since the questionnaire could cover only one type, a procedure was established to select the type of institution at random. The selection procedure, which required variable selection probabilities, was unusual in that it was adjusted during the collection process to adapt increasingly to regional disparities in the use of health and social services.
Release date: 2009-12-03
63. New initiatives in data collection for the Canadian Community Health Survey Archived
Articles and reports: 11-522-X200800010992
Geography: Canada
Description:
The Canadian Community Health Survey (CCHS) was redesigned in 2007 so that it could use the continuous data collection method. Since then, a new sample has been selected every two months, and the data have also been collected over a two-month period. The survey uses two collection techniques: computer-assisted personal interviewing (CAPI) for the sample drawn from an area frame, and computer-assisted telephone interviewing (CATI) for the sample selected from a telephone list frame. Statistics Canada has recently implemented some data collection initiatives to reduce the response burden and survey costs while maintaining or improving data quality. The new measures include the use of a call management tool in the CATI system and a limit on the number of calls. They help manage telephone calls and limit the number of attempts made to contact a respondent. In addition, with the paradata that became available very recently, reports are now being generated to assist in evaluating and monitoring collection procedures and efficiency in real time. The CCHS has also been selected to implement further collection initiatives in the future. This paper provides a brief description of the survey, explains the advantages of continuous collection and outlines the impact that the new initiatives have had on the survey.
Release date: 2009-12-03
64. Using paradata to estimate the average time it would take respondents to complete a computer assisted telephone interview questionnaire Archived
Articles and reports: 11-522-X200800010993
Description:
Until now, years of experience in questionnaire design were required to estimate how long it would take a respondent, on the average, to complete a CATI questionnaire for a new survey. This presentation focuses on a new method which produces interview time estimates for questionnaires at the development stage. The method uses Blaise Audit Trail data and previous surveys. It was developed, tested and verified for accuracy on some large scale surveys.
First, audit trail data was used to determine the average time previous respondents have taken to answer specific types of questions. These would include questions that require a yes/no answer, scaled questions, "mark all that apply" questions, etc. Second, for any given questionnaire, the paths taken by population sub-groups were mapped to identify the series of questions answered by different types of respondents, and timed to determine what the longest possible interview time would be. Finally, the overall expected time it takes to complete the questionnaire is calculated using estimated proportions of the population expected to answer each question.
So far, we used paradata to accurately estimate average respondent interview completion times. We note that the method that we developed could also be used to estimate specific respondent interview completion times.
Release date: 2009-12-03
65. Using paradata to manage nonresponse in the Survey of Labour and Income Dynamics Archived
Articles and reports: 11-522-X200800010996
Description:
In recent years, the use of paradata has become increasingly important to the management of collection activities at Statistics Canada. Particular attention has been paid to social surveys conducted over the phone, like the Survey of Labour and Income Dynamics (SLID). For recent SLID data collections, the number of call attempts was capped at 40 calls. Investigations of the SLID Blaise Transaction History (BTH) files were undertaken to assess the impact of the cap on calls.The purpose of the first study was to inform decisions as to the capping of call attempts, the second study focused on the nature of nonresponse given the limit of 40 attempts.
The use of paradata as auxiliary information for studying and accounting for survey nonresponse was also examined. Nonresponse adjustment models using different paradata variables gathered at the collection stage were compared to the current models based on available auxiliary information from the Labour Force Survey.
Release date: 2009-12-03
66. Data collection research using paradata at Statistics Canada Archived
Articles and reports: 11-522-X200800010997
Description:
Over the past few years, Statistics Canada has conducted several analytical studies using paradata to learn more about various issues surrounding the data collection process and practices. In particular, these investigations have attempted to better understand how data collection progresses through its cycle, to identify strategic opportunities, to evaluate new collection initiatives and to improve the way the agency conducts and manages its surveys. The main objectives of this paper are to present the main results of these past and ongoing investigations describing Statistics Canada's experiences with regards to paradata. Future research plans that focus on identifying viable operational strategies that could improve efficiency or data quality are also discussed.
Release date: 2009-12-03
67. Developing Statistics New Zealand's respondent load strategy Archived
Articles and reports: 11-522-X200800011005
Description:
In 2006 Statistics New Zealand started developing a strategy aimed at coordinating new and existing initiatives focused on respondent load. The development of the strategy lasted more than a year and the resulting commitment to reduce respondent load has meant that the organisation has had to confront a number of issues that impact on the way we conduct our surveys.
The next challenge for Statistics NZ is the transition from the project based initiatives outlined in the strategy to managing load on an ongoing basis.
Release date: 2009-12-03
68. Enhancements to data collection: The Real Time Data Management System (RTMS) and Global Positioning Systems (GPS) Archived
Articles and reports: 11-522-X200800011015
Description:
Statistics South Africa (StatsSA) prides itself in the accuracy and validity of data collected, processed and disseminated. The introduction of a Real Time Management System (RTMS) and the Global Positioning System (GPS) into field operations is aimed at enhancing the process of data collection and minimising errors with regard to locating sampled dwelling units and tracking material from one point in the survey chain to another.
The Quarterly Labour Force Survey (QLFS) is a pioneering project at Stats SA where the Master sample (MS) is linked to a GPS data base, where every record listed on the MS listing book has a corresponding GPS coordinate captured for it. These GPS points allows the Survey Officer to record spatially where different records are on the ground that are being listed (i.e. shops, houses, schools, churches etc.). The captured information is then linked to a shape file which populates where the structures are on the ground in relation to the manual listing records.
Release date: 2009-12-03
69. Closing remarks of the Symposium 2008: Data Collection: Challenges, Achievements and New Directions Archived
Articles and reports: 11-522-X200800011016
Description:
Now that we have come to the end of a day of workshops plus three very full days of sessions, I have the very pleasant task of offering a few closing remarks and, more importantly, of recognizing the efforts of those who have contributed to the success of this year's symposium. And it has clearly been a success.
Release date: 2009-12-03
70. Revisions to international merchandise trade statistics Archived
Stats in brief: 13-605-X200900111029
Description:
Quarterly international merchandise trade statistics are published approximately six weeks after the reference period. Two weeks later, these data are incorporated into the Income and Expenditure Accounts, at which point they are subject to revision. This note outlines the primary sources of the revisions.
Release date: 2009-11-19

Reference (55)

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

1. 2026 Census of Population Content Consultation Results: What we heard from Canadians
Notices and consultations: 92-137-X2024001
Description: Data from the Census of Population are important for all communities and are vital to plan services that support education, employment, transportation, health care and housing. To maintain the relevance of the census, Statistics Canada evaluates and reviews the census questionnaire content for each census cycle. In preparation for the 2026 Census, Statistics Canada consulted Canadians from fall 2022 to spring 2023. Detailed responses were received from organizations and individuals representing federal, provincial, territorial and local government departments; First Nations people, Métis and Inuit; the general public; academia; special interest groups; and the private sector.
This report focuses on the findings of the 2026 Census data needs consultation and stakeholder discussions. Chapter 1 explains whom we consulted. Chapter 2 describes the strength of census data users’ needs such as the size of the population of interest. Chapter 3 provides an assessment of the perceived data gaps in census content and the availability and suitability of alternative data sources. Chapter 4 focuses on information needs by census topic and how preparations for the 2024 Census Test will help meet these needs.
Release date: 2024-04-17
2. Methods for Constructing Life Tables for Canada, Provinces and Territories
Surveys and statistical programs – Documentation: 84-538-X
Geography: Canada
Description: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.
Release date: 2023-08-28
3. Statistics Canada's Data Access Training Series
Surveys and statistical programs – Documentation: 89-20-0008
Description:
These videos are part of the confidentiality vetting support series and present examples of how to use different statistical software packages to perform the analyses required for researchers working with confidential data.

Release date: 2022-04-29
4. Statistics Canada Quality Guidelines
Surveys and statistical programs – Documentation: 12-539-X
Description:
This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.
Release date: 2019-12-04
5. 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
6. 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
7. Data Quality Toolkit
Surveys and statistical programs – Documentation: 12-606-X
Description:
This is a toolkit intended to aid data producers and data users external to Statistics Canada.
Release date: 2017-09-27
8. User Guide for the Survey of Household Spending, 2014 Archived
Surveys and statistical programs – Documentation: 62F0026M2016001
Description:
This report describes the quality indicators produced for the 2014 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2016-02-12
9. The Research Data Centres Information and Technical Bulletin
Notices and consultations: 12-002-X
Description:
The Research Data Centres (RDCs) Information and Technical Bulletin (ITB) is a forum by which Statistics Canada analysts and the research community can inform each other on survey data uses and methodological techniques. Articles in the ITB focus on data analysis and modelling, data management, and best or ineffective statistical, computational, and scientific practices. Further, ITB topics will include essays on data content, implications of questionnaire wording, comparisons of datasets, reviews on methodologies and their application, data peculiarities, problematic data and solutions, and explanations of innovative tools using RDC surveys and relevant software. All of these essays may provide advice and detailed examples outlining commands, habits, tricks and strategies used to make problem-solving easier for the RDC user.
The main aims of the ITB are:
- the advancement and dissemination of knowledge surrounding Statistics Canada's data; - the exchange of ideas among the RDC-user community;- the support of new users; - the co-operation with subject matter experts and divisions within Statistics Canada.
The ITB is interested in quality articles that are worth publicizing throughout the research community, and that will add value to the quality of research produced at Statistics Canada's RDCs.
Release date: 2015-03-25
10. User Guide for the Survey of Household Spending, 2013 Archived
Surveys and statistical programs – Documentation: 62F0026M2015001
Description:
This report describes the quality indicators produced for the 2013 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2015-01-22

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