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All (143) (50 to 60 of 143 results)

51. Statistics Canada Data Sources on Official-Language Minorities
Surveys and statistical programs – Documentation: 91-549-X
Geography: Canada
Description:
The main objective of this document is to raise awareness among Statistics Canada data users of the different sources of language data available at Statistics Canada. Along with the census, surveys with an important sample of official-language minority groups and/or with information on languages are listed by themes. Users will find a description of the survey and its target population, sample sizes (total and according to available linguistic characteristics), available language variables based on questions asked, date of the first release, year for which the data is available and a direct internet link to additional information on the various surveys.
Release date: 2013-05-29
52. Survey Quality Archived
Articles and reports: 12-001-X201200211751
Description:
Survey quality is a multi-faceted concept that originates from two different development paths. One path is the total survey error paradigm that rests on four pillars providing principles that guide survey design, survey implementation, survey evaluation, and survey data analysis. We should design surveys so that the mean squared error of an estimate is minimized given budget and other constraints. It is important to take all known error sources into account, to monitor major error sources during implementation, to periodically evaluate major error sources and combinations of these sources after the survey is completed, and to study the effects of errors on the survey analysis. In this context survey quality can be measured by the mean squared error and controlled by observations made during implementation and improved by evaluation studies. The paradigm has both strengths and weaknesses. One strength is that research can be defined by error sources and one weakness is that most total survey error assessments are incomplete in the sense that it is not possible to include the effects of all the error sources. The second path is influenced by ideas from the quality management sciences. These sciences concern business excellence in providing products and services with a focus on customers and competition from other providers. These ideas have had a great influence on many statistical organizations. One effect is the acceptance among data providers that product quality cannot be achieved without a sufficient underlying process quality and process quality cannot be achieved without a good organizational quality. These levels can be controlled and evaluated by service level agreements, customer surveys, paradata analysis using statistical process control, and organizational assessment using business excellence models or other sets of criteria. All levels can be improved by conducting improvement projects chosen by means of priority functions. The ultimate goal of improvement projects is that the processes involved should gradually approach a state where they are error-free. Of course, this might be an unattainable goal, albeit one to strive for. It is not realistic to hope for continuous measurements of the total survey error using the mean squared error. Instead one can hope that continuous quality improvement using management science ideas and statistical methods can minimize biases and other survey process problems so that the variance becomes an approximation of the mean squared error. If that can be achieved we have made the two development paths approximately coincide.
Release date: 2012-12-19
53. A statistical approach to detect interviewer falsification of survey data Archived
Articles and reports: 12-001-X201200111680
Description:
Survey data are potentially affected by interviewer falsifications with data fabrication being the most blatant form. Even a small number of fabricated interviews might seriously impair the results of further empirical analysis. Besides reinterviews, some statistical approaches have been proposed for identifying this type of fraudulent behaviour. With the help of a small dataset, this paper demonstrates how cluster analysis, which is not commonly employed in this context, might be used to identify interviewers who falsify their work assignments. Several indicators are combined to classify 'at risk' interviewers based solely on the data collected. This multivariate classification seems superior to the application of a single indicator such as Benford's law.
Release date: 2012-06-27
54. Factors associated with voting Archived
Articles and reports: 75-001-X201200111629
Geography: Canada
Description:
This article investigates the factors associated with voting during the May 2011 federal election. Voting rates are examined across personal, family and labour market characteristics. Multivariate techniques are used to account for many of the characteristics associated with voting. The study is based on several supplemental questions, commissioned by Elections Canada, that were added to the May Labour Force Survey. Voting trends and international comparisons, based on administrative data, are also presented.
Release date: 2012-02-24
55. Teacher's Guide to Data Discovery Archived
Surveys and statistical programs – Documentation: 12-593-X
Description: A guide for elementary and secondary teachers on the basic skills involved in statistical investigation: choosing the dataset, understanding data concepts and analysing the data with or without computer software.
Release date: 2010-09-24
56. Aboriginal Peoples Technical Report, 2006 Census, Second Edition Archived
Surveys and statistical programs – Documentation: 92-569-X2006002
Description:
The 2006 Census Technical Report on Aboriginal Peoples deals with: (i) Aboriginal ancestry, (ii) Aboriginal identity, (iii) registered Indian status, and (iv) First Nation or Band membership. The report aims to inform users about the complexity of the data and any difficulties that could affect their use. It explains the conceptual framework and definitions used to gather the data, and it discusses factors that could affect data quality. The historical comparability of the data is also discussed.
The second edition includes the same content as the first, and new text has been added on data processing (Chapter 3). As well, modified content about data quality and 'on reserve' communities has been incorporated into the original sections.
Release date: 2010-02-09
57. Aboriginal Peoples Technical Report, 2006 Census Archived
Surveys and statistical programs – Documentation: 92-569-X
Description:
The 2006 Census Technical Report on Aboriginal Peoples deals with: (i) Aboriginal ancestry, (ii) Aboriginal identity, (iii) registered Indian status, and (iv) First Nation or Band membership. The report aims to inform users about the complexity of the data and any difficulties that could affect their use. It explains the conceptual framework and definitions used to gather the data, and it discusses factors that could affect data quality. The historical comparability of the data is also discussed.
Release date: 2010-02-09
58. Nonparametric propensity weighting for survey nonresponse through local polynomial regression Archived
Articles and reports: 12-001-X200900211039
Description:
Propensity weighting is a procedure to adjust for unit nonresponse in surveys. A form of implementing this procedure consists of dividing the sampling weights by estimates of the probabilities that the sampled units respond to the survey. Typically, these estimates are obtained by fitting parametric models, such as logistic regression. The resulting adjusted estimators may become biased when the specified parametric models are incorrect. To avoid misspecifying such a model, we consider nonparametric estimation of the response probabilities by local polynomial regression. We study the asymptotic properties of the resulting estimator under quasi-randomization. The practical behavior of the proposed nonresponse adjustment approach is evaluated on NHANES data.
Release date: 2009-12-23
59. Estimates for small area compositions subjected to informative missing data Archived
Articles and reports: 12-001-X200900211041
Description:
Estimation of small area (or domain) compositions may suffer from informative missing data, if the probability of missing varies across the categories of interest as well as the small areas. We develop a double mixed modeling approach that combines a random effects mixed model for the underlying complete data with a random effects mixed model of the differential missing-data mechanism. The effect of sampling design can be incorporated through a quasi-likelihood sampling model. The associated conditional mean squared error of prediction is approximated in terms of a three-part decomposition, corresponding to a naive prediction variance, a positive correction that accounts for the hypothetical parameter estimation uncertainty based on the latent complete data, and another positive correction for the extra variation due to the missing data. We illustrate our approach with an application to the estimation of Municipality household compositions based on the Norwegian register household data, which suffer from informative under-registration of the dwelling identity number.
Release date: 2009-12-23
60. Testing for the 2011 Census of Canada Archived
Articles and reports: 11-522-X200800010950
Description:
The next census will be conducted in May 2011. Being a major survey, it presents a formidable challenge for Statistics Canada and requires a great deal of time and resources. Careful planning has been done to ensure that all deadlines are met. A number of steps have been planned in the questionnaire testing process. These tests apply to both census content and the proposed communications strategy. This paper presents an overview of the strategy, with a focus on combining qualitative studies with the 2008 quantitative study so that the results can be analyzed and the proposals properly evaluated.
Release date: 2009-12-03

Data (8)

Data (8) ((8 results))

1. Canadian Statistical Geospatial Explorer Hub
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: 2024-08-21
2. Residential Telephone Service Survey Archived
Public use microdata: 56M0001X
Description:
Statistics Canada was approached by Stentor Resource Centre Incorporated to conduct a survey to monitor the telephone penetration rates across Canada. The survey determines if the respondents have a telephone line in their residence. If they do not have a telephone line, information is collected as to the reasons why. Information is also collected on the income characteristics of the selected households.
The management of the survey was transferred from Stentor to Bell Canada in the Fall of 1998.
The Labour Force Survey (LFS) supplementary capacity is used to conduct this biannual survey. A sample of approximately 44,000 respondents is used for this survey (five out of six rotation groups). The survey data are collected using Computer Assisted Interviewing (CAI). The first data collection procedure took place during November's LFS week in 1996.
This microdata file is prepared biannually and contains the variables from the survey, plus geographical variables from the LFS (province, census metropolitan area, urban/rural breakdown). No other variables from the LFS are added to the file.
Release date: 2014-12-12
3. Youth Smoking Survey Archived
Public use microdata: 82M0011X
Description:
The main objective of the 2002 Youth Smoking Survey (YSS) is to provide current information on the smoking behaviour of students in grades 5 to 9 (in Quebec primary school grades 5 and 6 and secondary school grades 1 to 3), and to measure changes that occurred since the last time the survey was conducted in 1994. Additionally, the 2002 survey collected basic data on alcohol and drug use by students in grades 7 to 9 (in Quebec secondary 1 to 3). Results of the Youth Smoking Survey will help with the evaluation of anti-smoking and anti-drug use programs, as well as with the development of new programs.
Release date: 2004-07-14
4. Adult Education and Training Survey, Documentation and Data Files Archived
Public use microdata: 81M0013X
Description:
The Adult Education and Training Survey (AETS) is Canada's most comprehensive source of data on individual participation in formal adult education and training. It is the only Canadian survey to collect detailed information about the skill development efforts of the entire adult Canadian population. The AETS provides information about the main subject of training activities, their provider, duration and the sources and types of support for training. Furthermore, the AETS allows for the examination of the socio-economic and demographic profiles of both training participants and non-participants. This survey also identifies barriers faced by individuals who wish to take some form of training but cannot. The AETS was administered three times during the 1990s, in 1992, 1994 and 1998, as a supplement to the Labour Force Survey (LFS).
The content of the AETS was revised to take into account recommendations coming from consultation exercises. As a result, more than half of the 2003 survey is made up of new questions and the target population has been modified.
The main objectives are:1) To measure the incidence and intensity of adults' participation in job-related formal training.2) To profile employer support to job-related formal training.3) To analyze the aspects of job-related training activities such as: training provider, expenses, financial support, motivations, outcomes and difficulties experienced while training.4) To identify the barriers preventing individuals from participating in the job-related formal training they want or need to take.5) To identify reasons explaining adults' lack of participation and of interest in job-related formal training.6) To relate adults' current participation patterns to their past involvement in and plans about future participation in job-related training.7) To measure the incidence and frequency of adults' participation in job-related informal training.8) To examine the interactions between participation in formal and informal job-related training.
The population covered by the AETS consists of Canadians 25 years of age and older. This is a change from the population previously targeted by the AETS, which consisted of Canadians aged 17 years of age and older. A primary consideration for this change was the practical difficulties in applying the definition of adult education to individuals in the 17 to 24 years of age group. By definition, adult education excludes students who are still involved in their first or initial stage of schooling. As previous AETS did not precisely identify students still in their initial stage of schooling, analyses using these data had to rely on an ad hoc definition of adult learners. According to this definition, individuals aged 17 to 24 who were not in one of the following situations were excluded from the analysis: full-time students subsidized by an employer and full-time students over 19 enrolled in elementary or secondary programs.
Release date: 2004-05-27
5. General Social Survey Cycle 13: Victimization (1999) - Public Use Microdata File Archived
Public use microdata: 12M0013X
Description:
Cycle 13 of the General Social Survey (GSS) is the third cycle (following cycles 3 and 8) that collected information in 1999 on the nature and extent of criminal victimisation in Canada. Focus content for cycle 13 addressed two areas of emerging interest: public perception toward alternatives to imprisonment; and spousal violence and senior abuse. Other subjects common to all three cycles include perceptions of crime, police and courts; crime prevention precautions; accident and crime screening sections; and accident and crime incident reports. The target population of the GSS is all individuals aged 15 and over living in a private household in one of the ten provinces.

Release date: 2000-11-02
6. National Population Health Survey: Health Institutions Public Use Microdata File Archived
Public use microdata: 82M0010X
Description:
The National Population Health Survey (NPHS) program is designed to collect information related to the health of the Canadian population. The first cycle of data collection began in 1994. The institutional component includes long-term residents (expected to stay longer than six months) in health care facilities with four or more beds in Canada with the principal exclusion of the Yukon and the Northwest Teritories. The document has been produced to facilitate the manipulation of the 1996-1997 microdata file containing survey results. The main variables include: demography, health status, chronic conditions, restriction of activity, socio-demographic, and others.
Release date: 2000-08-02
7. Canada's Alcohol and Other Drugs Survey - Documentation and Data Files Archived
Public use microdata: 89M0007X
Description:
Information in this microdata file refers to survey data collected in September - November, 1994 for persons 15 years of age and older in Canada's ten provinces. The survey's main data objectives were to measure the prevalence and patterns of alcohol and other drug use, to assess harm and other consequences of drug use and to evaluate trends in recent patterns of use. Canada's Alcohol and Other Drugs Survey (CADS) also updates and expands upon data collected in the first survey, the National Alcohol and Other Drugs Survey (NADS), conducted in 1989.
Release date: 2000-07-07
8. Survey on Smoking in Canada (1994) Archived
Public use microdata: 82M0008X
Description:
The survey, begun in February 1994, monitors the smoking patterns of Canadians over a 12 month period and to measure any changes in smoking resulting from the decrease in taxes in cigarettes which took place in February 1994 in some provinces. It is related to MDF 82M0006. Updates are included in the microdata file price. A guide for this microdata file is available.
Release date: 1995-06-08

Analysis (103)

Analysis (103) (50 to 60 of 103 results)

51. Canadian Health Measures Survey: Rationale, background and overview Archived
Articles and reports: 82-003-S200700010361
Description:
This article summarizes the background, history and rationale for the Canadian Health Measures Survey, and provides an overview of the objectives, methods and analysis plans.
Release date: 2007-12-05
52. Interplay between sample survey theory and practice: an appraisal Archived
Articles and reports: 11-522-X20050019443
Description:
A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so.
Release date: 2007-03-02
53. Progress in collecting business data Archived
Articles and reports: 11-522-X20050019457
Description:
The administrative data project has helped reduce the response burden of small and medium-sized business. We are continuing this work and expanding our objectives to maximize the use of administrative data. In addition, by exploring the single window reporting method, we plan to decrease the response burden of complex enterprises while ensuring consistent data collection. We will have to overcome some major challenges, some of which may be methodological in nature. Let's see what the future holds!
Release date: 2007-03-02
54. Imputing distributions in administrative tax data Archived
Articles and reports: 11-522-X20050019458
Description:
The proposed paper presents an alternative methodology that gives the data the possibility of defining homogenous groups determined by a bottom up classification of the values of observed details. The problem is then to assign a non respondent business to one of these groups. Several assignment procedures, based on explanatory variables available in the tax returns, are compared, using gross or distributed data: parametric and non parametric classification analyses, log linear models, etc.
Release date: 2007-03-02
55. Discrimination coefficient of variation: an improved measure of precision of estimates Archived
Articles and reports: 11-522-X20050019461
Description:
We propose a generalization of the usual coefficient of variation (CV) to address some of the known problems when used in measuring quality of estimates. Some of the problems associated with CV include interpretation when the estimate is near zero, and the inconsistency in the interpretation about precision when computed for different one-to-one monotonic transformations.
Release date: 2007-03-02
56. Quarterly Services Survey analysis of response Archived
Articles and reports: 11-522-X20050019464
Description:
The Quarterly Services Survey has maintained comprehensive response data since the survey's inception. In analyzing the data, we concentrate on three fundamental features of response: rate, timeliness, and quality. We examine these three components across multiple dimensions. We observe the effect associated with NAICS classification, company size and response mode.
Release date: 2007-03-02
57. Innovation Capabilities: The Knowledge Capital Behind the Survival and Growth of Firms Archived
Articles and reports: 11-622-M2006013
Geography: Canada
Description:
This paper summarizes the findings of a research program aimed at outlining the importance to the firm growth process of competencies that arise from investments in intangible assets. The program has consisted of two parts. First, longitudinal databases have provided a rich set of studies on entry, exit, mergers and other aspects of dynamics related to growth and decline in firm populations. These studies have shown the pervasiveness of growth and decline in the firm population. By themselves, these studies do not demonstrate what strategies differentiate the most successful from the least successful. To do so, we have built a set of firm surveys that allowed profiles to be developed of the type of competencies that stem from investments in organizational capital. In turn, these are linked to administrative data that allow us to classify firms as either growing or declining. We then asked how differences in competencies were related to the performance of firms.
Release date: 2006-09-18
58. Rounding guidelines for post-censal surveys and the Longitudinal Survey of Immigrants to Canada Archived
Articles and reports: 12-002-X20060019253
Description:
Before any analytical results are released from the Research Data Centres (RDCs), RDC analysts must conduct disclosure risk analysis (or vetting). RDC analysts apply Statistics Canada's disclosure control guidelines, when reviewing all analytical output, as a means of ensuring the protection of survey respondents' confidentiality. For some data sets, such as the Aboriginal People's Survey (APS), Ethnic Diversity Survey (EDS), the Participation, Activity and Limitation Survey (PALS) and the Longitudinal Survey of Immigrants to Canada (LSIC), Statistics Canada has developed an additional set of guidelines that involve rounding analytical results, in order to ensure further confidentiality protection. This article will discuss the rationale for the additional rounding procedures used for these data sets, and describe the specifics of the rounding guidelines. More importantly, this paper will suggest several approaches to assist researchers in following these protocols more effectively and efficiently.
Release date: 2006-07-18
59. Interplay between sample survey theory and practice: An appraisal Archived
Articles and reports: 12-001-X20050029040
Description:
A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so. Examples where new theory is needed or where theory exists but is not used will also be presented.
Release date: 2006-02-17
60. Spatio-temporal models in small area estimation Archived
Articles and reports: 12-001-X20050029053
Description:
A spatial regression model in a general mixed effects model framework has been proposed for the small area estimation problem. A common autocorrelation parameter across the small areas has resulted in the improvement of the small area estimates. It has been found to be very useful in the cases where there is little improvement in the small area estimates due to the exogenous variables. A second order approximation to the mean squared error (MSE) of the empirical best linear unbiased predictor (EBLUP) has also been worked out. Using the Kalman filtering approach, a spatial temporal model has been proposed. In this case also, a second order approximation to the MSE of the EBLUP has been obtained. As a case study, the time series monthly per capita consumption expenditure (MPCE) data from the National Sample Survey Organisation (NSSO) of the Ministry of Statistics and Programme Implementation, Government of India, have been used for the validation of the models.
Release date: 2006-02-17

Reference (29)

Reference (29) (20 to 30 of 29 results)

21. Coverage, 2001 Census Technical Report (Reference Products: 2001 Census) Archived
Surveys and statistical programs – Documentation: 92-394-X
Description:
This report deals with coverage errors that occur when persons, households, dwellings or families are missed or enumerated in error by the census. After the 2001 Census was taken, a number of studies were carried out to estimate gross undercoverage, gross overcoverage and net undercoverage. This report presents the results of the Dwelling Classification Study, the Reverse Record Check Study, the Automated Match Study and the Collective Dwelling Study. The report first describes census universes, coverage error and census collection and processing procedures that may result in coverage error. Then it gives estimates of net undercoverage for a number of demographic characteristics. After, the technical report presents the methodology and results of each coverage study and the estimates of coverage error after describing how the results of the various studies are combined. A historical perspective completes the product.
Release date: 2004-11-25
22. Nonresponse bias analyses at the National Center for Education Statistics Archived
Surveys and statistical programs – Documentation: 11-522-X20010016269
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.
In surveys with low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response, there are different approaches that help identify potential sources of non-response bias. In the National Center for Education Statistics (NCES), surveys with a response rate lower than 70% must conduct a non-response bias analysis. This paper discusses the different approaches to non-response bias analyses using examples from NCES.
Release date: 2002-09-12
23. Combining administrative data with survey data: experience in the Australian survey of employment and unemployment patterns Archived
Surveys and statistical programs – Documentation: 11-522-X19990015644
Description:
One method of enriching survey data is to supplement information collected directly from the respondent with that obtained from administrative systems. The aims of such a practice include being able to collect data which might not otherwise be possible, provision of better quality information for data items which respondents may not be able to report accurately (or not at all) reduction of respondent load, and maximising the utility of information held in administrative systems. Given the direct link with administrative information, the data set resulting from such techniques is potentially a powerful basis for policy-relevant analysis and evaluation. However, the processes involved in effectively combining data from different sources raise a number of challenges which need to be addressed by the parties involved. These include issues associated with privacy, data linking, data quality, estimation, and dissemination.
Release date: 2000-03-02
24. 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
25. Impact of Edit and Imputation on Income Estimates: A Case Study Archived
Surveys and statistical programs – Documentation: 75F0002M1998012
Description:
This paper looks at the work of the task force responsible for reviewing Statistics Canada's household and family income statistics programs, and at one of associated program changes, namely, the integration of two major sources of annual income data in Canada, the Survey of Consumer Finances (SCF) and the Survey of Labour and Income Dynamics (SLID).
Release date: 1998-12-30
26. Survey of Labour and Income Dynamics: Processing Strategy for Wave 1 Income Data Archived
Surveys and statistical programs – Documentation: 75F0002M1997006
Description:
This report documents the edit and imputation approach taken in processing Wave 1 income data from the Survey of Labour and Income Dynamics (SLID).
Release date: 1997-12-31
27. The Survey of Labour and Income Dynamics (SLID) Content Evaluation, the Authority Series: Supervision and Management Archived
Surveys and statistical programs – Documentation: 75F0002M1993009
Description:
This paper presents an analysis of the questions in the Survey of Labour and Income Dynamics (SLID) relating to supervision and management. It uses data collected in January 1993.
Release date: 1995-12-30
28. Labour Force Classification in the Survey of Labour and Income Dynamics (SLID): Evaluation of Test 3A Results Archived
Surveys and statistical programs – Documentation: 75F0002M1993014
Description:
This paper presents the results from test 3A of the Survey of Labour and Income Dynamics (SLID), conducted in January 1993, with a view to identify any necessary changes to the questions or to the algorithm used to derive labour force status.
Release date: 1995-12-30
29. SLID Test 3B Results: Impact of Notebook Archived
Surveys and statistical programs – Documentation: 75F0002M1993016
Description:
The paper examines the results of an initial evaluation of the effectiveness of the lighter, non-bureaucratic approach to questionnaire design called the SLID (Survey of Labour and Income Dynamics ) Notebook
Release date: 1995-12-30

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