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All (138)

All (138) (90 to 100 of 138 results)

  • 91. Ensuring the quality of the labor force estimates from the Current Population Survey : a total survey perspective Archived
    Articles and reports: 11-522-X20010016228
    Description:

    The Current Population Survey is the primary source of labour force data for the United States. Throughout any survey process, it is critical that data quality be ensured. This paper discusses how quality issues are addressed during all steps of the survey process, including the development of the sample frame, sampling operations, sample control, data collection, editing, imputation, estimation, questionnaire development. It also reviews the quality evaluations that are built into the survey process. The paper concludes with a discussion of current research and possible future improvements to the survey.

    Release date: 2002-09-12
  • 92. Electronic data reporting - Recent developments at the Australian Bureau of Statistics Archived
    Articles and reports: 11-522-X20010016245
    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 summarizes recent Australian Bureau of Statistics (ABS) methodological developments and other experiences with electronic data reporting (EDR). It deals particularly with the part of EDR loosely defined as 'e-forms', or screen-based direct collection instruments, where the respondent manually enters all or most of the data. In this context, the paper covers recent ABS experiences and current work, but does not revisit the historical EDR work or cover other developments in Australia outside the ABS.

    Release date: 2002-09-12
  • 93. Using matched census-survey records to evaluate the quality of survey data Archived
    Articles and reports: 11-522-X20010016270
    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.

    Following the last three censuses in Britain, survey non-response on major government household surveys has been investigated by linking addresses sampled for surveys taking place around the time of the census to individual census records for the same addresses. This paper outlines the design of the 2001 British Census-linked Study of Survey Nonresponse. The study involves 10 surveys that vary significantly in design and response rates. The key feature of the study is the extensive use of auxiliary data and multilevel modelling to identify interviewer, household and area level effects.

    Release date: 2002-09-12
  • 94. A method for short-term estimation of labour input using current preliminary data from administrative sources having coverage errors Archived
    Articles and reports: 11-522-X20010016271
    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 proposes a method for short-term estimation of labour input indicators using administrative data from the Social Security Database (SSD). The rationale for developing this methodology originated from the need for national statistical offices to meet the standard quality criteria in the Regulation no. 1165/98 of the European Community concerning short-term business statistics. Information requested in the Regulation involves such a detailed disaggregation that it would be impossible to meet all the requirements through direct data collection. Administrative data, because of their timeliness and detailed coverage, represent a valuable source for obtaining estimates of business population aggregates that meet such quality requirements.

    Release date: 2002-09-12
  • 95. The confidence of an optimal sampling size based on previous data Archived
    Articles and reports: 11-522-X20010016273
    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.

    For a multivariate survey based on simple random sampling, the problem of calculating an optimal sampling size becomes one of solving a stochastic programming problem in which each constraint corresponds to a bounded estimate of the variance for a commodity. The problem is stochastic because the set of data collected from a previous survey makes the components of each constraint random variables; consequently, the calculated size of a sample is itself a random variable and is dependent on the quality of that set of data. By means of a Monte Carlo technique, an empirical probability distribution of the optimal sampling size can be produced for finding the probability of the event that the prescribed precision will be achieved. Corresponding to each set of previously collected data, there is an optimal size and allocation across strata. While reviewing these over several consecutive periods of time, it may be possible to identify troublesome strata and to see a trend in the stability of the data. The review may reveal an oscillatory pattern in the sizes of the samples that might have evolved over time due to the dependency of one allocation on another.

    Release date: 2002-09-12
  • 96. Hot deck imputation for the response model Archived
    Articles and reports: 11-522-X20010016275
    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.

    Hot deck imputation, in which missing items are replaced with values from respondents, is often used in survey sampling. A model supporting such procedures is the model in which response probabilities are assumed equal within imputation cells. In this paper, an efficient version of hot deck imputation is described, as are the variance of the efficient version derived under the cell response model and an approximation to the fully efficient procedure in which a small number of values are imputed for each non-respondent, respectively. Variance estimation procedures are presented and illustrated in a Monte Carlo study.

    Release date: 2002-09-12
  • 97. Estimating sampling errors for movements in the UK index of production Archived
    Articles and reports: 11-522-X20010016281
    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.

    Methodology for estimating the sampling error of the non-seasonally adjusted estimate of level of the Index of Production (IoP) has previously been developed using Taylor linearization and parametric bootstrap methods, with both producing comparable results. From the study, it was considered that the parametric bootstrap approach would be more practical to implement. This paper describes the methodology that is being developed to estimate the sampling error of the non-seasonally adjusted IoP change using the parametric bootstrap method, along with the data that are needed from the contributing surveys, the assumptions made, and the practical problems encountered during development.

    Release date: 2002-09-12
  • 98. Quality measurement and reporting in the UK Office for National Statistics Archived
    Articles and reports: 11-522-X20010016298
    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 discusses the Office for National Statistics' (ONS) approach to developing systematic quality measurements and reporting methods. It is presented against the background of European developments and the growing demand for quality measurement. Measuring the quality of statistics presents considerable practical and methodological challenges. The paper describes the main building blocks to be used for the new quality measure program, and includes specific examples. Working with other national statistical institutions; and developing an enhanced measurement framework, output measurements, and reporting procedures, are all vital ingredients in achieving recognition of the ONS as a quality organization.

    Release date: 2002-09-12
  • 99. Estimation of simple and correlated measurement variance when first and second interview use different survey modes Archived
    Articles and reports: 11-522-X20010016309
    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 proposes a method for estimating simple and correlated measurement variance components when a re-interview is available for a subsample of respondents. However, the two measurements cannot be considered as being collected under the same conditions and, therefore, are subject to different measurement error variance. This consideration seems more realistic when, in actuality, it is impossible to ensure that the same measurement conditions are implemented in the two interviews, as in the case when operational and budget constraints suggest adopting a different survey mode for the second interview.

    Release date: 2002-09-12
  • 100. Regression estimation for survey samples Archived
    Articles and reports: 12-001-X20020016408
    Description:

    Regression and regression-related procedures have become common in survey estimation. We review the basic properties of regression estimators, discuss implementation of regression estimation, and investigate variance estimation for regression estimators. The role of models in constructing regression estimators and the use of regression in non-response adjustment are also explored.

    Release date: 2002-07-05
Stats in brief (3)

Stats in brief (3) ((3 results))

  • 1. Data ethics part 2: Ethical reviews
    Stats in brief: 89-20-00062022004
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.

    As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.

    Release date: 2022-10-17
  • 2. Data ethics: An introduction Archived
    Stats in brief: 89-20-00062022001
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. To properly conduct these processes, data ethics ethics must be upheld in order to ensure the appropriate use of data.

    Release date: 2022-05-24
  • 3. FAIR data principles: What is FAIR? Archived
    Stats in brief: 89-20-00062022002
    Description:

    This video will break down what it means to be FAIR in terms of data and metadata, and how each pillar of FAIR serves to guide data users and producers alike, as they navigate their way through the data journey, in order to gain maximum, long term value.

    Release date: 2022-05-24
Articles and reports (134)

Articles and reports (134) (0 to 10 of 134 results)

  • 1. A proposal for the problem of matching probabilities estimation in record linkage Archived
    Articles and reports: 11-522-X202200100001
    Description: Record linkage aims at identifying record pairs related to the same unit and observed in two different data sets, say A and B. Fellegi and Sunter (1969) suggest each record pair is tested whether generated from the set of matched or unmatched pairs. The decision function consists of the ratio between m(y) and u(y),probabilities of observing a comparison y of a set of k>3 key identifying variables in a record pair under the assumptions that the pair is a match or a non-match, respectively. These parameters are usually estimated by means of the EM algorithm using as data the comparisons on all the pairs of the Cartesian product ?=A×B. These observations (on the comparisons and on the pairs status as match or non-match) are assumed as generated independently of other pairs, assumption characterizing most of the literature on record linkage and implemented in software tools (e.g. RELAIS, Cibella et al. 2012). On the contrary, comparisons y and matching status in ? are deterministically dependent. As a result, estimates on m(y) and u(y) based on the EM algorithm are usually bad. This fact jeopardizes the effective application of the Fellegi-Sunter method, as well as automatic computation of quality measures and possibility to apply efficient methods for model estimation on linked data (e.g. regression functions), as in Chambers et al. (2015). We propose to explore ? by a set of samples, each one drawn so to preserve independence of comparisons among the selected record pairs. Simulations are encouraging.
    Release date: 2024-03-25
  • 2. A Model-based Disaggregation Method for Estimation of Adult Competency Archived
    Articles and reports: 11-522-X202200100003
    Description: Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels. The method is applied to adult literacy and numeracy estimation at the county-by-group-level, using data from the U.S. Program for the International Assessment of Adult Competencies. In this application the groups are defined in terms of age or education, but the method could be applied to estimation of other equity-deserving groups.
    Release date: 2024-03-25
  • 3. Children born into vulnerability: Challenges encountered in a Quebec longitudinal survey Archived
    Articles and reports: 11-522-X202200100010
    Description: Growing Up in Québec is a longitudinal population survey that began in the spring of 2021 at the Institut de la statistique du Québec. Among the children targeted by this longitudinal follow-up, some will experience developmental difficulties at some point in their lives. Those same children often have characteristics associated with higher sample attrition (low-income family, parents with a low level of education). This article describes the two main challenges we encountered when trying to ensure sufficient representativeness of these children, in both the overall results and the subpopulation analyses.
    Release date: 2024-03-25
  • 4. Bayesian model assisted design-based estimators of the size, total and mean of a hard-to-reach population from a link-tracing sample with initial cluster sample Archived
    Articles and reports: 11-522-X202200100015
    Description: We present design-based Horvitz-Thompson and multiplicity estimators of the population size, as well as of the total and mean of a response variable associated with the elements of a hidden population to be used with the link-tracing sampling variant proposed by Félix-Medina and Thompson (2004). Since the computation of the estimators requires to know the inclusion probabilities of the sampled people, but they are unknown, we propose a Bayesian model which allows us to estimate them, and consequently to compute the estimators of the population parameters. The results of a small numeric study indicate that the performance of the proposed estimators is acceptable.
    Release date: 2024-03-25
  • 5. Integration of existing data to develop an ethnicity indicator in the LSDDP Archived
    Articles and reports: 11-522-X202200100018
    Description: The Longitudinal Social Data Development Program (LSDDP) is a social data integration approach aimed at providing longitudinal analytical opportunities without imposing additional burden on respondents. The LSDDP uses a multitude of signals from different data sources for the same individual, which helps to better understand their interactions and track changes over time. This article looks at how the ethnicity status of people in Canada can be estimated at the most detailed disaggregated level possible using the results from a variety of business rules applied to linked data and to the LSDDP denominator. It will then show how improvements were obtained using machine learning methods, such as decision trees and random forest techniques.
    Release date: 2024-03-25
  • 6. Statistics Canada’s Quality of Life Statistics Program: April 2021 to March 2023
    Articles and reports: 75F0002M2023001
    Description: This discussion paper describes the work being achieved and undertaken by Statistics Canada, in partnership with the Treasury Board of Canada Secretariat, the Department of Finance Canada and the Privy Council Office, on developing the Quality of Life Framework for Canada and related outputs, including an online Hub. This is the first paper in a series that will provide updates on the progress of work relating to the Framework.
    Release date: 2023-04-19
  • 7. Health Utilities Index Mark 3 scores for children and youth: Population norms for Canada based on cycles 5 (2016 and 2017) and 6 (2018 and 2019) of the Canadian Health Measures Survey
    Articles and reports: 82-003-X202300200003
    Description: Utility scores are an important tool for evaluating health-related quality of life. Utility score norms have been published for Canadian adults, but no nationally representative utility score norms are available for non-adults. Using Health Utilities Index Mark 3 (HUI3) data from two recent cycles of the Canadian Health Measures Survey (i.e., 2016-2017 and 2018-2019), this is the first study to provide utility score norms for children aged 6 to 11 years and adolescents aged 12 to 17 years.
    Release date: 2023-02-15
  • 8. Investigating the Use of Blockchain to Authenticate Data from the Statistics Canada Website
    Articles and reports: 11-633-X2022007
    Description:

    This paper investigates how Statistics Canada can increase trust by giving users the ability to authenticate data from its website through digital signatures and blockchain technology.

    Release date: 2022-09-19
  • 9. Bayesian inference for a variance component model using pairwise composite likelihood with survey data
    Articles and reports: 12-001-X202200100002
    Description:

    We consider an intercept only linear random effects model for analysis of data from a two stage cluster sampling design. At the first stage a simple random sample of clusters is drawn, and at the second stage a simple random sample of elementary units is taken within each selected cluster. The response variable is assumed to consist of a cluster-level random effect plus an independent error term with known variance. The objects of inference are the mean of the outcome variable and the random effect variance. With a more complex two stage sampling design, the use of an approach based on an estimated pairwise composite likelihood function has appealing properties. Our purpose is to use our simpler context to compare the results of likelihood inference with inference based on a pairwise composite likelihood function that is treated as an approximate likelihood, in particular treated as the likelihood component in Bayesian inference. In order to provide credible intervals having frequentist coverage close to nominal values, the pairwise composite likelihood function and corresponding posterior density need modification, such as a curvature adjustment. Through simulation studies, we investigate the performance of an adjustment proposed in the literature, and find that it works well for the mean but provides credible intervals for the random effect variance that suffer from under-coverage. We propose possible future directions including extensions to the case of a complex design.

    Release date: 2022-06-21
  • 10. Measuring Social Capital at the Neighbourhood Level: Experimental Estimates of Sense of Belonging to the Local Community Measured at the Census Tract Level
    Articles and reports: 11-633-X2021007
    Description:

    Statistics Canada continues to use a variety of data sources to provide neighbourhood-level variables across an expanding set of domains, such as sociodemographic characteristics, income, services and amenities, crime, and the environment. Yet, despite these advances, information on the social aspects of neighbourhoods is still unavailable. In this paper, answers to the Canadian Community Health Survey on respondents’ sense of belonging to their local community were pooled over the four survey years from 2016 to 2019. Individual responses were aggregated up to the census tract (CT) level.

    Release date: 2021-11-16
Journals and periodicals (1)

Journals and periodicals (1) ((1 result))

  • 1. Validation Study for a Record Linkage of Births and Infant Deaths in Canada Archived
    Journals and periodicals: 84F0013X
    Geography: Canada, Province or territory
    Description:

    This study was initiated to test the validity of probabilistic linkage methods used at Statistics Canada. It compared the results of data linkages on infant deaths in Canada with infant death data from Nova Scotia and Alberta. It also compared the availability of fetal deaths on the national and provincial files.

    Release date: 1999-10-08
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