Analysis

Skip to filters. View results.

What’s new on our website

View results

Filter results by

Search Help
Currently selected filters that can be removed
Remove Remove "2014" filter
Clear all

Keyword(s)

Subject

Year of publication

1 facets displayed. 1 facets selected.

Author(s)

26 facets displayed. 0 facets selected.

Survey or statistical program

51 facets displayed. 0 facets selected.

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (231)

All (231) (0 to 10 of 231 results)

  • 1. Resources: Long-term shifts in commodities Archived
    Stats in brief: 11-630-X2014003
    Description:

    Canada's economic story owes much to its bountiful natural resources. The December edition of Canadian Megatrends examines the role these assets have played in the growth and development of this country.

    Release date: 2014-12-23
  • 2. Canadians’ connections with family and friends Archived
    Articles and reports: 89-652-X2014006
    Description:

    This report examines Canadians’ social connections, using the 2013 General Social Survey on Social Identity. Three aspects are examined 1) size of social networks (number and type of social connections), 2) frequency and types of communication, and 3) characteristics of friends. The report ends with a short discussion of the possible impact of social connections on Canadians’ overall quality of life.

    Release date: 2014-12-23
  • 3. Combining information from multiple complex surveys Archived
    Articles and reports: 12-001-X201400214089
    Description:

    This manuscript describes the use of multiple imputation to combine information from multiple surveys of the same underlying population. We use a newly developed method to generate synthetic populations nonparametrically using a finite population Bayesian bootstrap that automatically accounts for complex sample designs. We then analyze each synthetic population with standard complete-data software for simple random samples and obtain valid inference by combining the point and variance estimates using extensions of existing combining rules for synthetic data. We illustrate the approach by combining data from the 2006 National Health Interview Survey (NHIS) and the 2006 Medical Expenditure Panel Survey (MEPS).

    Release date: 2014-12-19
  • 4. Estimation methods on multiple sampling frames in two-stage sample designs Archived
    Articles and reports: 12-001-X201400214090
    Description:

    When studying a finite population, it is sometimes necessary to select samples from several sampling frames in order to represent all individuals. Here we are interested in the scenario where two samples are selected using a two-stage design, with common first-stage selection. We apply the Hartley (1962), Bankier (1986) and Kalton and Anderson (1986) methods, and we show that these methods can be applied conditional on first-stage selection. We also compare the performance of several estimators as part of a simulation study. Our results suggest that the estimator should be chosen carefully when there are multiple sampling frames, and that a simple estimator is sometimes preferable, even if it uses only part of the information collected.

    Release date: 2014-12-19
  • 5. Fractional hot deck imputation for robust inference under item nonresponse in survey sampling Archived
    Articles and reports: 12-001-X201400214091
    Description:

    Parametric fractional imputation (PFI), proposed by Kim (2011), is a tool for general purpose parameter estimation under missing data. We propose a fractional hot deck imputation (FHDI) which is more robust than PFI or multiple imputation. In the proposed method, the imputed values are chosen from the set of respondents and assigned proper fractional weights. The weights are then adjusted to meet certain calibration conditions, which makes the resulting FHDI estimator efficient. Two simulation studies are presented to compare the proposed method with existing methods.

    Release date: 2014-12-19
  • 6. Frequentist and Bayesian approaches for comparing interviewer variance components in two groups of survey interviewers Archived
    Articles and reports: 12-001-X201400214092
    Description:

    Survey methodologists have long studied the effects of interviewers on the variance of survey estimates. Statistical models including random interviewer effects are often fitted in such investigations, and research interest lies in the magnitude of the interviewer variance component. One question that might arise in a methodological investigation is whether or not different groups of interviewers (e.g., those with prior experience on a given survey vs. new hires, or CAPI interviewers vs. CATI interviewers) have significantly different variance components in these models. Significant differences may indicate a need for additional training in particular subgroups, or sub-optimal properties of different modes or interviewing styles for particular survey items (in terms of the overall mean squared error of survey estimates). Survey researchers seeking answers to these types of questions have different statistical tools available to them. This paper aims to provide an overview of alternative frequentist and Bayesian approaches to the comparison of variance components in different groups of survey interviewers, using a hierarchical generalized linear modeling framework that accommodates a variety of different types of survey variables. We first consider the benefits and limitations of each approach, contrasting the methods used for estimation and inference. We next present a simulation study, empirically evaluating the ability of each approach to efficiently estimate differences in variance components. We then apply the two approaches to an analysis of real survey data collected in the U.S. National Survey of Family Growth (NSFG). We conclude that the two approaches tend to result in very similar inferences, and we provide suggestions for practice given some of the subtle differences observed.

    Release date: 2014-12-19
  • 7. Chi-squared tests in dual frame surveys Archived
    Articles and reports: 12-001-X201400214096
    Description:

    In order to obtain better coverage of the population of interest and cost less, a number of surveys employ dual frame structure, in which independent samples are taken from two overlapping sampling frames. This research considers chi-squared tests in dual frame surveys when categorical data is encountered. We extend generalized Wald’s test (Wald 1943), Rao-Scott first-order and second-order corrected tests (Rao and Scott 1981) from a single survey to a dual frame survey and derive the asymptotic distributions. Simulation studies show that both Rao-Scott type corrected tests work well and thus are recommended for use in dual frame surveys. An example is given to illustrate the usage of the developed tests.

    Release date: 2014-12-19
  • 8. On aligned composite estimates from overlapping samples for growth rates and totals Archived
    Articles and reports: 12-001-X201400214097
    Description:

    When monthly business surveys are not completely overlapping, there are two different estimators for the monthly growth rate of the turnover: (i) one that is based on the monthly estimated population totals and (ii) one that is purely based on enterprises observed on both occasions in the overlap of the corresponding surveys. The resulting estimates and variances might be quite different. This paper proposes an optimal composite estimator for the growth rate as well as the population totals.

    Release date: 2014-12-19
  • 9. Potential gains from using unit level cost information in a model-assisted framework Archived
    Articles and reports: 12-001-X201400214110
    Description:

    In developing the sample design for a survey we attempt to produce a good design for the funds available. Information on costs can be used to develop sample designs that minimise the sampling variance of an estimator of total for fixed cost. Improvements in survey management systems mean that it is now sometimes possible to estimate the cost of including each unit in the sample. This paper develops relatively simple approaches to determine whether the potential gains arising from using this unit level cost information are likely to be of practical use. It is shown that the key factor is the coefficient of variation of the costs relative to the coefficient of variation of the relative error on the estimated cost coefficients.

    Release date: 2014-12-19
  • 10. The estimation of gross flows in complex surveys with random nonresponse Archived
    Articles and reports: 12-001-X201400214113
    Description:

    Rotating panel surveys are used to calculate estimates of gross flows between two consecutive periods of measurement. This paper considers a general procedure for the estimation of gross flows when the rotating panel survey has been generated from a complex survey design with random nonresponse. A pseudo maximum likelihood approach is considered through a two-stage model of Markov chains for the allocation of individuals among the categories in the survey and for modeling for nonresponse.

    Release date: 2014-12-19
Stats in brief (48)

Stats in brief (48) (40 to 50 of 48 results)

  • 41. Smoking, 2013 Archived
    Stats in brief: 82-625-X201400114025
    Description:

    This is a health fact sheet about smoking among Canadians. The results shown are based on data from the Canadian Community Health Survey.

    Release date: 2014-06-12
  • 42. Overweight and obese youth (self-reported), 2013 Archived
    Stats in brief: 82-625-X201400114026
    Description:

    This is a Health fact sheet about Canadians aged 12 to 17 who are overweight or obese. The results shown are based on data from the Canadian Community Health Survey.

    Release date: 2014-06-12
  • 43. Portrait of Official-Language Minorities in Canada Archived
    Stats in brief: 11-629-X2015010
    Description:

    The video summarizes and updates the analyses that Statistics Canada released in the Portraits of Official-Language Minorities in Canada series. These portraits are based on a wide range of statistics drawn from the censuses of population and the Survey on the Vitality of Official-Language Minorities.

    Release date: 2014-04-17
  • 44. Around the world and back: A video about Statistics Canada's role internationally Archived
    Stats in brief: 11-629-X2015002
    Description:

    A video about Statistics Canada's role internationally.

    Release date: 2014-01-31
  • 45. The 10 leading causes of death, 2011 Archived
    Stats in brief: 82-625-X201400111896
    Geography: Canada
    Description:

    Statistics shown in this fact sheet come from vital statistics Canadian death database. These data are collected from all provincial and territorial vital statistics registries and contain demographic and medical (cause of death) information on all deaths in Canada.

    Release date: 2014-01-28
  • 46. Trends in mortality rates, 2000 to 2011 Archived
    Stats in brief: 82-625-X201400111897
    Geography: Canada
    Description:

    This fact sheet presents the age-standardized mortality rates and analyzes the trends in mortality rates since 2000, with emphasis on the leading causes of death.

    Release date: 2014-01-28
  • 47. Non-smokers, 2012 Archived
    Stats in brief: 82-625-X201400111893
    Geography: Canada
    Description:

    This is a health fact sheet about non-smokers in Canada. The results shown are based on data from the Canadian Community Health Survey.

    Release date: 2014-01-22
  • 48. Fundamental Principles of Official Statistics
    Stats in brief: 11-629-X2015001
    Description:

    Find out how the 10 fundamental principles of official statistics guide Statistics Canada.

    Release date: 2014-01-15
Articles and reports (178)

Articles and reports (178) (0 to 10 of 178 results)

  • 1. Canadians’ connections with family and friends Archived
    Articles and reports: 89-652-X2014006
    Description:

    This report examines Canadians’ social connections, using the 2013 General Social Survey on Social Identity. Three aspects are examined 1) size of social networks (number and type of social connections), 2) frequency and types of communication, and 3) characteristics of friends. The report ends with a short discussion of the possible impact of social connections on Canadians’ overall quality of life.

    Release date: 2014-12-23
  • 2. Combining information from multiple complex surveys Archived
    Articles and reports: 12-001-X201400214089
    Description:

    This manuscript describes the use of multiple imputation to combine information from multiple surveys of the same underlying population. We use a newly developed method to generate synthetic populations nonparametrically using a finite population Bayesian bootstrap that automatically accounts for complex sample designs. We then analyze each synthetic population with standard complete-data software for simple random samples and obtain valid inference by combining the point and variance estimates using extensions of existing combining rules for synthetic data. We illustrate the approach by combining data from the 2006 National Health Interview Survey (NHIS) and the 2006 Medical Expenditure Panel Survey (MEPS).

    Release date: 2014-12-19
  • 3. Estimation methods on multiple sampling frames in two-stage sample designs Archived
    Articles and reports: 12-001-X201400214090
    Description:

    When studying a finite population, it is sometimes necessary to select samples from several sampling frames in order to represent all individuals. Here we are interested in the scenario where two samples are selected using a two-stage design, with common first-stage selection. We apply the Hartley (1962), Bankier (1986) and Kalton and Anderson (1986) methods, and we show that these methods can be applied conditional on first-stage selection. We also compare the performance of several estimators as part of a simulation study. Our results suggest that the estimator should be chosen carefully when there are multiple sampling frames, and that a simple estimator is sometimes preferable, even if it uses only part of the information collected.

    Release date: 2014-12-19
  • 4. Fractional hot deck imputation for robust inference under item nonresponse in survey sampling Archived
    Articles and reports: 12-001-X201400214091
    Description:

    Parametric fractional imputation (PFI), proposed by Kim (2011), is a tool for general purpose parameter estimation under missing data. We propose a fractional hot deck imputation (FHDI) which is more robust than PFI or multiple imputation. In the proposed method, the imputed values are chosen from the set of respondents and assigned proper fractional weights. The weights are then adjusted to meet certain calibration conditions, which makes the resulting FHDI estimator efficient. Two simulation studies are presented to compare the proposed method with existing methods.

    Release date: 2014-12-19
  • 5. Frequentist and Bayesian approaches for comparing interviewer variance components in two groups of survey interviewers Archived
    Articles and reports: 12-001-X201400214092
    Description:

    Survey methodologists have long studied the effects of interviewers on the variance of survey estimates. Statistical models including random interviewer effects are often fitted in such investigations, and research interest lies in the magnitude of the interviewer variance component. One question that might arise in a methodological investigation is whether or not different groups of interviewers (e.g., those with prior experience on a given survey vs. new hires, or CAPI interviewers vs. CATI interviewers) have significantly different variance components in these models. Significant differences may indicate a need for additional training in particular subgroups, or sub-optimal properties of different modes or interviewing styles for particular survey items (in terms of the overall mean squared error of survey estimates). Survey researchers seeking answers to these types of questions have different statistical tools available to them. This paper aims to provide an overview of alternative frequentist and Bayesian approaches to the comparison of variance components in different groups of survey interviewers, using a hierarchical generalized linear modeling framework that accommodates a variety of different types of survey variables. We first consider the benefits and limitations of each approach, contrasting the methods used for estimation and inference. We next present a simulation study, empirically evaluating the ability of each approach to efficiently estimate differences in variance components. We then apply the two approaches to an analysis of real survey data collected in the U.S. National Survey of Family Growth (NSFG). We conclude that the two approaches tend to result in very similar inferences, and we provide suggestions for practice given some of the subtle differences observed.

    Release date: 2014-12-19
  • 6. Chi-squared tests in dual frame surveys Archived
    Articles and reports: 12-001-X201400214096
    Description:

    In order to obtain better coverage of the population of interest and cost less, a number of surveys employ dual frame structure, in which independent samples are taken from two overlapping sampling frames. This research considers chi-squared tests in dual frame surveys when categorical data is encountered. We extend generalized Wald’s test (Wald 1943), Rao-Scott first-order and second-order corrected tests (Rao and Scott 1981) from a single survey to a dual frame survey and derive the asymptotic distributions. Simulation studies show that both Rao-Scott type corrected tests work well and thus are recommended for use in dual frame surveys. An example is given to illustrate the usage of the developed tests.

    Release date: 2014-12-19
  • 7. On aligned composite estimates from overlapping samples for growth rates and totals Archived
    Articles and reports: 12-001-X201400214097
    Description:

    When monthly business surveys are not completely overlapping, there are two different estimators for the monthly growth rate of the turnover: (i) one that is based on the monthly estimated population totals and (ii) one that is purely based on enterprises observed on both occasions in the overlap of the corresponding surveys. The resulting estimates and variances might be quite different. This paper proposes an optimal composite estimator for the growth rate as well as the population totals.

    Release date: 2014-12-19
  • 8. Potential gains from using unit level cost information in a model-assisted framework Archived
    Articles and reports: 12-001-X201400214110
    Description:

    In developing the sample design for a survey we attempt to produce a good design for the funds available. Information on costs can be used to develop sample designs that minimise the sampling variance of an estimator of total for fixed cost. Improvements in survey management systems mean that it is now sometimes possible to estimate the cost of including each unit in the sample. This paper develops relatively simple approaches to determine whether the potential gains arising from using this unit level cost information are likely to be of practical use. It is shown that the key factor is the coefficient of variation of the costs relative to the coefficient of variation of the relative error on the estimated cost coefficients.

    Release date: 2014-12-19
  • 9. The estimation of gross flows in complex surveys with random nonresponse Archived
    Articles and reports: 12-001-X201400214113
    Description:

    Rotating panel surveys are used to calculate estimates of gross flows between two consecutive periods of measurement. This paper considers a general procedure for the estimation of gross flows when the rotating panel survey has been generated from a complex survey design with random nonresponse. A pseudo maximum likelihood approach is considered through a two-stage model of Markov chains for the allocation of individuals among the categories in the survey and for modeling for nonresponse.

    Release date: 2014-12-19
  • 10. Bagging non-differentiable estimators in complex surveys Archived
    Articles and reports: 12-001-X201400214118
    Description:

    Bagging is a powerful computational method used to improve the performance of inefficient estimators. This article is a first exploration of the use of bagging in survey estimation, and we investigate the effects of bagging on non-differentiable survey estimators including sample distribution functions and quantiles, among others. The theoretical properties of bagged survey estimators are investigated under both design-based and model-based regimes. In particular, we show the design consistency of the bagged estimators, and obtain the asymptotic normality of the estimators in the model-based context. The article describes how implementation of bagging for survey estimators can take advantage of replicates developed for survey variance estimation, providing an easy way for practitioners to apply bagging in existing surveys. A major remaining challenge in implementing bagging in the survey context is variance estimation for the bagged estimators themselves, and we explore two possible variance estimation approaches. Simulation experiments reveal the improvement of the proposed bagging estimator relative to the original estimator and compare the two variance estimation approaches.

    Release date: 2014-12-19
Journals and periodicals (5)

Journals and periodicals (5) ((5 results))

  • 1. Canadian Income Survey Products
    Journals and periodicals: 75-513-X
    Description:

    The Canadian Income Survey (CIS) is a cross-sectional survey developed to assess the economic well-being of individuals and families in Canada. It provides a portrait of the income and income sources of Canadians, with their individual and household characteristics.

    Release date: 2014-12-10
  • 2. Aboriginal Languages and Selected Vitality Indicators in 2011
    Journals and periodicals: 89-655-X
    Description:

    Many of the 60 or so Aboriginal languages in Canada are considered endangered to varying degrees for their long-term survival. Assessing language vitality or endangerment through the measurement of various factors can provide useful information to help ensure the continuity of a language. This paper illustrates how the 2011 Census of Population and the 2011 National Household Survey (NHS) can be used to measure some of the factors that provide information related to the vitality of Aboriginal languages.

    Release date: 2014-10-16
  • 3. Canadian Demographics at a Glance
    Journals and periodicals: 91-003-X
    Description:

    Canadian Demographics at a glance is designed to gather a maximum of demographic information in a single document, giving users an easily and quickly accessible up-to-date picture of the Canadian population. It presents data on demographic growth, fertility, mortality, migratory movements, aging and ethno-cultural diversity of the population in the form of tables and graphs accompanied by a brief analytical commentary.

    Release date: 2014-06-19
  • 4. Federal Scientific Activities
    Journals and periodicals: 88-204-X
    Description:

    This report provides statistical information of the federal government's activities in science and technology. It covers expenditures and person-years by type of science, performing sectors, provinces and federal departments and agencies. Technical notes, definitions, bibliography and subject index are included.

    Release date: 2014-06-06
  • 5. Private and Public Investment in Canada, Intentions
    Journals and periodicals: 61-205-X
    Description:

    This publication presents capital and repair expenditures on construction and on machinery and equipment for divisions and industries at the Canada level and by division at the provincial level. The report also provides the split between private and public investment. The tabulations focus on capital spending intentions for the coming year, preliminary estimates of actual investment for the current year and the actual investment for the previous year. The investment data are gathered from about 25,000 establishments and establishment groups in Canadian businesses, institutions and governments.

    Release date: 2014-02-28
Report a problem or mistake on this page
Date modified:

Search help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Sort help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.