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All (107)

All (107) (100 to 110 of 107 results)

  • 101. Producing small area estimates from national surveys: Methods for minimizing use of indirect estimators Archived
    Articles and reports: 12-001-X20010026094
    Description:

    This article reviews the methods that may be used to produce direct estimates for small areas, including stratification and oversampling, and forms of dual-frame estimation.

    Release date: 2002-02-28
  • 102. A repeated half-sample bootstrap and balanced repeated replications for randomly imputed data Archived
    Articles and reports: 12-001-X20010026095
    Description:

    In this paper, we discuss the application of the bootstrap with a re-imputation step to capture the imputation variance (Shao and Sitter 1996) in stratified multistage sampling. We propose a modified bootstrap that does not require rescaling so that Shao and Sitter's procedure can be applied to the case where random imputation is applied and the first-stage stratum sample sizes are very small. This provides a unified method that works irrespective of the imputation method (random or nonrandom), the stratum size (small or large), the type of estimator (smooth or nonsmooth), or the type of problem (variance estimation or sampling distribution estimation). In addition, we discuss the proper Monte Carlo approximation to the bootstrap variance, when using re-imputation together with resampling methods. In this setting, more care is needed than is typical. Similar results are obtained for the method of balanced repeated replications, which is often used in surveys and can be viewed as an analytic approximation to the bootstrap. Finally, some simulation results are presented to study finite sample properties and various variance estimators for imputed data.

    Release date: 2002-02-28
  • 103. Local polynomial regression in complex surveys Archived
    Articles and reports: 12-001-X20010026096
    Description:

    Local polynomial regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed method relies on binning the data on the x-variable and calculating the appropriate survey estimates for the mean of the y-values at each bin. When binning on x has been carried out to the precision of the recorded data, the method is the same as applying the survey weights to the standard criterion for obtaining local polynomial regression estimates. The alternative of using classical polynomial regression is also considered and a criterion is proposed to decide whether the nonparametric approach to modeling should be preferred over the classical approach. Illustrative examples are given from the 1990 Ontario Health Survey.

    Release date: 2002-02-28
  • 104. Modelling compositional time series from repeated surveys Archived
    Articles and reports: 12-001-X20010026097
    Description:

    A compositional time series is defined as a multivariate time series in which each of the series has values bounded between zero and one and the sum of the series equals one at each time point. Data with such characteristics are observed in repeated surveys when a survey variable has a multinomial response but interest lies in the proportion of units classified in each of its categories. In this case, the survey estimates are proportions of a whole subject to a unity-sum constraint. In this paper we employ a state space approach for modelling compositional time series from repeated surveys taking into account the sampling errors. The additive logistic transformation is used in order to guarantee predictions and signal estimates bounded between zero and one which satisfy the unity-sum constraint. The method is applied to compositional data from the Brazilian Labour Force Survey. Estimates of the vector of proportions and the unemployment rate are obtained. In addition, the structural components of the signal vector, such as the seasonals and the trends, are produced.

    Release date: 2002-02-28
  • 105. In this issue (Vol. 27, no. 2) Archived
    Articles and reports: 12-001-X20010029567
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2002-02-28
  • 106. Putting your money where your mouth is: using knowledge management practices to design a knowledge management survey Archived
    Articles and reports: 88-003-X20020016148
    Geography: Canada
    Description:

    In September 2000, a small international group met to develop a survey on knowledge management. Creating the pilot questionnaire required a cooperative effort on behalf of survey taking experts, knowledge management specialists and policy analysts. Bringing together a preliminary questionnaire that met the basic requirements of a group of dynamic and outspoken experts, each with individual and collective objectives was not a simple task.

    Release date: 2002-02-15
  • 107. Cognitive testing in questionnaire development, part one: the importance of the appropriate respondent Archived
    Articles and reports: 88-003-X20020016162
    Geography: Canada
    Description:

    During the design of the recently piloted Knowledge Management Practices Survey, analysts at Statistics Canada undertook a series of cognitive tests with potential respondents. Read about some of the results of the tests conducted.

    Release date: 2002-02-15
Stats in brief (1)

Stats in brief (1) ((1 result))

  • 1. Purchasing Power Parities and Real Expenditures: United States/Canada - Updates, 1992-2001 Archived
    Stats in brief: 13-604-M2002039
    Description:

    The latest annual results for the US/Canada purchasing power parities (PPPs) and real expenditures per head in the US compared with Canada are published in this paper. The data were developed for the period 1992 to 2001, using the latest US and Canada expenditure data from the National Accounts and price comparisons for 1999. The paper contains summaries of differences between the results of the multilateral (OECD) study and the Statistics Canada bilateral study. Some differences in classifications have been incorporated, as well as normal national Accounts revisions. Ten tables are presented in an Appendix for 21 categories of expenditure for the GDP.

    Release date: 2002-06-28
Articles and reports (105)

Articles and reports (105) (60 to 70 of 105 results)

  • 61. The challenge of improving the quality of internationally comparable data Archived
    Articles and reports: 11-522-X20010016292
    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.

    Statistics can serve to benefit society, but, if manipulated politically or otherwise, statistics may also be used by the powerful as instruments to maintain the status quo or even to oppress. Statisticians working internationally, usually employed by international, supra-national or bilateral agencies, face a range of problems as they try to 'make a difference' in the lives of the poorest people in the world. One of the most difficult challenges statisticians face is the dilemma between open accountability and national sovereignty (in relation to what data are collected, the methods used and who is to have access to the results). Because of increasing globalization and new modalities of development co-operation and partnership, statisticians work in a constantly changing environment.

    This paper addresses the problems of improving the quality of cross-national data. This paper aims to raise consciousness of the role of statisticians at the international level; describe some of the constraints under which statisticians work; address principles which ought to govern the general activities of statisticians; and evaluate, in particular, the relevance of such principles to international statisticians. This paper also draws upon the recent Presidential Address to the Royal Statistical Society (Presented June 2001, JRSS Series D forthcoming).

    Release date: 2002-09-12
  • 62. Commercial telephone samples and component outcome rates Archived
    Articles and reports: 11-522-X20010016294
    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. Outcome rates in telephone surveys are usually based on an entire sample. However, telephone samples from commercial sample vendors contain identifiable subsets of records with very different probabilities of obtaining particular dispositions. In such a case, component outcome rates could vary in ways unrelated to rates based on the entire sample. The 2000 Behavioral Risk Factor Surveillance System (BRFSS) survey examines the degree to which selected outcome rates (by state, for different subsets of records) correlate with corresponding global rates. Although correlations tend to be large, not all cases are, making it worthwhile to examine component outcome rates.

    Release date: 2002-09-12
  • 63. Data estimation in the uniform crime reporting (UCR) program Archived
    Articles and reports: 11-522-X20010016295
    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 order to compensate for unreported, missing, unreasonable, or unusable data, the Uniform Crime Reporting (UCR) Program conducts data estimations and imputations using a variety of statistical methods. This paper illustrates how offence and arrest data are estimated using a variety of different approaches. The paper also points out the strengths and the shortcomings of each approach.

    Release date: 2002-09-12
  • 64. Coverage issues in the Canadian Labour Force Survey Archived
    Articles and reports: 11-522-X20010016296
    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.

    The Canadian Labour Force Survey (LFS) is one of Statistics Canada's most important surveys. It is a monthly survey that collects data concerning the person's labour force status, the nature of the person's work or reason for not working, and the person's demographics. The survey sample consists of approximately 52,000 households. Coverage error is a measure of data quality that is important to any survey. One of the key measures of coverage error in the LFS is the percentage difference between the Census of Population estimates and the LFS population counts; this error is called slippage. A negative value indicates that the LFS has a problem of overcoverage, while a positive value indicates the LFS has an undercoverage problem. In general, slippage is positive, thus meaning that the LFS consistently misses people who should be enumerated.

    The purpose of this study was to determine why slippage is increasing and what can be done to remedy it. The study was conducted in two stages. The first stage was a historical review of the projects that have studied and tried to control slippage in the LFS, as well as the operational changes that have been implemented over time. The second stage was an analysis of factors such as vacancy rates, non-response, demographics, urban and rural status and the impact of these factors on the slippage rate.

    Release date: 2002-09-12
  • 65. A statistical analysis of response rates Archived
    Articles and reports: 11-522-X20010016297
    Description:

    This paper discusses in detail issues dealing with the technical aspects in designing and conducting surveys. It is intended for an audience of survey methodologists. The Danish National Institute of Social Research is an independent institution under the Ministry of Social Affairs. The Institute carries out surveys on social issues on encompassing a broad range of subjects. The Sustainable Financing Initiative Survey (SFI-SURVEY) is an economically independent section within the institute. SFI-SURVEY carries out scientific surveys both for the Institute, for other public organizations, and for the private sector as well. The SFI-SURVEY interviewer body has 450 interviewers spread throughout Denmark. There are five supervisors, each with a regional office, who are in contact with the interviewer body. On a yearly basis, SFI-SURVEY conducts 40 surveys. The average sample size (gross) is 1,000 persons. The average response rate is 75%. Since January 1999, the following information about the surveys have been recorded: · Type of method used (face-to-face or telephone) · Length of questionnaire (interviewing time in minutes) · Whether or not a folder was sent to the respondents in advance · Whether or not an interviewer instruction meeting was given · Number of interviews per interviewer per week · Whether or not the subject of the survey was of interest to the respondents · Interviewing month · Target group (random selection of the total population or special groups)

    Release date: 2002-09-12
  • 66. 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
  • 67. Qualifying quality: issues of presentation and education Archived
    Articles and reports: 11-522-X20010016300
    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.

    The Australian Bureau of Statistics (ABS) produces many statistics that help the government and the wider community make more informed decisions. However, if these decisions are to be truly informed, it is essential that the users are able to understand the limitations of the statistics and how to use the data in an appropriate context. As a result, the ABS has initiated a project entitled Qualifying Quality, which focuses on two key directions: presentation and education. Presentation provides people with information about the quality of the data in order to help them answer the question "Are the data fit for the purpose?"; while education assists those people in appreciating the importance of information on quality and knowing how to use such information. In addressing these two issues, the project also aims to develop and identify processes and technical systems that will support and encourage the appropriate use of data.

    This paper provides an overview of the presentation and education initiatives which have arisen from this project. The paper then explores the different methods of presentation, the systems that support them, and how the education strategies interact with each other. In particular, the paper comments on the importance of supporting education strategies with well developed systems and appropriate presentation methods.

    Release date: 2002-09-12
  • 68. Role of the Integrated Metadatabase at Statistics Canada Archived
    Articles and reports: 11-522-X20010016301
    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.

    The Integrated Metadatabase is a corporate repository of information for each of Statistics Canada's surveys. The information stored in the Integrated Metadatabase includes a description of data sources and methodology, definitions of concepts and variables measured, and indicators of data quality. It provides an effective vehicle for communicating data quality to data users. Its coverage of Statistics Canada's data holdings is exhaustive, the provided information on data quality complies with the Policy on Informing Users of Data Quality and Methodology, and it is presented in a consistent and systematic fashion.

    Release date: 2002-09-12
  • 69. Communicating quality: discussion Archived
    Articles and reports: 11-522-X20010016302
    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 session provides three more contributions to the continuing discussion concerning the national statistics offices' response to the topic of quality -in particular, the subtopic of communicating quality. These three papers make the important and necessary assumption that national statistical offices have an obligation to report the limitations of the data; users should know and understand those limitations; and, as a result of understanding the limitations, users ought to be able to determine whether the data are fit for their purposes.

    Release date: 2002-09-12
  • 70. Construction of imputation cells for the Canadian Labour Force Survey Archived
    Articles and reports: 11-522-X20010016303
    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 large-scale surveys, it is almost guaranteed that some level of non-response will occur. Generally, statistical agencies use imputation as a way to treat non-response items. A common preliminary step to imputation is the formation of imputation cells. In this article, the formation of these cells is studied using two methods. The first method is similar to that of Eltinge and Yansaneh (1997) in the case of weighting cells and the second is the method currently used in the Canadian Labour Force Survey. Using Labour Force data, simulation studies are performed to test the impact of the response rate, the response mechanism, and constraints on the quality of the point estimator in both methods.

    Release date: 2002-09-12
Journals and periodicals (1)

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

  • 1. Technical Report on the Analysis of Small Groups in the 1999 GSS Archived
    Journals and periodicals: 85F0036X
    Geography: Canada
    Description:

    This study documents the methodological and technical challenges that are involved in performing analysis on small groups using a sample survey, oversampling, response rate, non-response rate due to language, release feasibility and sampling variability. It is based on the 1999 General Social Survey (GSS) on victimization.

    Release date: 2002-05-14
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