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  • Articles and reports: 12-001-X197900254836
    Description: This article presents the methodology and analysis of two major pretests undertaken in order to compare the effectiveness of different interviewing methods and to assess the feasibility of collecting information which would meet Victimization Survey information requirements.
    Release date: 1979-12-15

  • Articles and reports: 12-001-X197900254832
    Description:

    A Hot Deck imputation procedure is defined to be one where an incomplete response is completed by using values from one or more other records on the same file and the choice of these records varies with the record requiring imputation.

    General approaches to Hot Deck imputation are outlined, with emphasis on the interaction between the edit constraints and the imputation procedures. Distance functions can be constructed on a mixture of categorical and numeric fields, can be modified to take account of the relative importance of fields and can discriminate against less desirable donors. Matching fields may be correlated with missing fields, may be linked with missing fields by edits or may be natural stratification variables; but increasing the number of matching fields does not necessarily result in a better match. It is important to audit the imputation process and to summarize its performance.

    Hot Deck procedures should be evaluated to study the bias and reliability of the estimates, donor usage and frequency of imputation failure in terms of a variety of conditions of the data and variations of the imputation procedure. It appears that the only generally available approach to evaluation is by simulation.

    Release date: 1979-12-14

  • Articles and reports: 12-001-X197900254833
    Description:

    This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.

    Release date: 1979-12-14

  • Articles and reports: 12-001-X197900100001
    Description: This paper discusses the management of information within the context of the information industry and indicates some likely future trends related thereto. The information industry itself is first briefly described. Then the process used in producing information, the organizational structure required for such production, and the legislation relating to the information industry are discussed in turn. Finally, some approaches to solving the problems of the future are suggested.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100002
    Description: This paper includes a description of interviewer techniques and procedures used to minimize non-response, an outline of methods used to monitor and control non-response, and a discussion of how non-respondents are treated in the data processing and estimation stages of the Canadian Labour Force Survey. Recent non-response rates as well as data on the characteristics of non-respondents are also given. It is concluded that a yearly non-response rate of approximately 5 percent is probably the best that can be achieved in the Labour Force Survey.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100003
    Description: Two methods for estimating the correlated response variance of a survey estimator are studied by way of both theoretical comparison and empirical investigation. The variance of these estimators is discussed and the effects of outliers examined. Finally, an improved estimator is developed and evaluated.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100004
    Description: Let U = {1, 2, …, i, …, N} be a finite population of N identifiable units. A known “size measure” x_i is associated with unit i; i = 1, 2, ..., N. A sampling procedure for selecting a sample of size n (2 < n < N) with probability proportional to size (PPS) and without replacement (WOR) from the population is proposed. With this method, the inclusion probability is proportional to size (IPPS) for each unit in the population.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100005
    Description: Approximate cutoff rules for stratifying a population into a take-all and take-some universe have been given by Dalenius (1950) and Glasser (1962). They expressed the cutoff value (that value which delineates the boundary of the take-all and take-some) as a function of the mean, the sampling weight and the population variance. Their cutoff values were derived on the assumption that a single random sample of size n was to be drawn without replacement from the population of size N.

    In the present context, exact and approximate cutoff rules have been worked out for a similar situation. Rather than providing the sample size of the sample, the precision (coefficient of variation) is given. Note that in many sampling situations, the sampler is given a set of objectives in terms of reliability and not sample size. The result is particularly useful for determining the take-all - take-some boundary for samples drawn from a known population. The procedure is also extended to ratio estimation.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100006
    Description: Under a sequential sampling plan, the proportion defective in the sample is generally a biased estimator of the population value. In this paper, an unbiased estimator is given. Also, an unbiased estimator of its variance is derived. These results are applied to an estimation problem from the 1976 Canadian Census.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197800254832
    Description: I.P. Fellegi and D. Holt proposed a systematic approach to automatic edit and imputation. An implementation of this proposal was a Generalized Edit and Imputation System by the Hot-Deck Approach, that was utilized in the edit and imputation of the 1976 Canadian Census of Population and Housing. This paper discusses that application, evaluating the strengths and weaknesses of the methodology with some empirical evidence. The system will be considered in relation to the general issues of the edit and imputation of survey data. Some directions for future developments will also be considered.
    Release date: 1978-12-15
Reference (2,029)

Reference (2,029) (1,900 to 1,910 of 2,029 results)

  • Surveys and statistical programs – Documentation: 5318
    Description: The purpose of this survey is to collect information on businesses in Canada related to emerging issues. This iteration of the survey focuses on business expectations and business conditions in Canada. In addition, the questionnaire for the first quarter of 2024 includes a component specifically for non-profit organizations (NPOs). The intent of this set of questions is to address a present data gap and to provide a better understanding of the non-profit sector.

  • Surveys and statistical programs – Documentation: 5319
    Description: The data contain detailed confirmed cases of coronavirus disease (COVID-19) in Canada, which is compiled by the Public Health Agency of Canada, with the contribution from provincial and territorial Health ministries.

  • Surveys and statistical programs – Documentation: 5320
    Description: The purpose of this data collection is to provide early insight into the educational, employment and financial impacts of the COVID-19 pandemic on postsecondary students. Students will be asked about concerns regarding their academic future and financial constraints. This information can be used by governments and other organizations to evaluate the need for services and assistance programs during and after the pandemic.

  • Surveys and statistical programs – Documentation: 5323
    Description: The collection series collects data on the current economic and social situation, as well as on people's physical and mental health, to effectively assess the needs of communities and implement suitable support measures during and after the pandemic.

  • Surveys and statistical programs – Documentation: 5325
    Description: The survey collects data on aircraft movements at airports in Canada with NAV CANADA towers.

  • Surveys and statistical programs – Documentation: 5326
    Description: During the COVID-19 pandemic, many public service employees have experienced major changes in their work and lifestyle. In light of this, a series of questionnaires has been developed to gather information that will help departments and agencies shed light on the impact of these changes on employees, and that will allow us to be agile and adapt over time.

  • Surveys and statistical programs – Documentation: 5327
    Description: The objective of this survey is to collect information related to the Canada Emergency Business Account to verify if the funds from this program are helping Canadian businesses during the COVID-19 pandemic.

  • Surveys and statistical programs – Documentation: 5328
    Description: The purpose of the Impacts of COVID-19 on Canadian Victim Services survey is to collect information on the impacts of COVID-19 restrictions on the operations of Canadian victim service programs, including factors that have affected their ability to provide services and how they have adapted their operations to continue to serve victims.

  • Surveys and statistical programs – Documentation: 5330
    Description: The purpose of the Survey on COVID-19 and Mental Health is to collect data to assess the impacts of COVID-19 on the mental health and well-being of Canadians. Given that the pandemic has significantly altered our daily lives, it is necessary to gather information on its effects on mental health and coping skills.

  • Surveys and statistical programs – Documentation: 5331
    Description: Ecosystem accounts are based on the System of Environmental-Economic Accounting - Ecosystem Accounting (SEEA-EA) framework, which was adopted as an international statistical standard by the United Nations Statistical Commission in March 2021. This framework complements, and builds on, the accounting for environmental assets described in the United Nations System of Environmental-Economic Accounting Central Framework (SEEA-CF), which was adopted as an international standard in 2012.