Filter results by
Search HelpKeyword(s)
Subject
- Selected: Statistical methods (107)
- Administrative data (2)
- Collection and questionnaires (17)
- Data analysis (1)
- Disclosure control and data dissemination (6)
- Editing and imputation (6)
- Frames and coverage (5)
- History and context (2)
- Inference and foundations (1)
- Quality assurance (42)
- Response and nonresponse (8)
- Simulations (2)
- Statistical techniques (6)
- Survey design (18)
- Time series (1)
- Weighting and estimation (25)
- Other content related to Statistical methods (4)
Author(s)
Survey or statistical program
Results
All (107)
All (107) (60 to 70 of 107 results)
- Articles and reports: 11-522-X20010016292Description:
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 - Articles and reports: 11-522-X20010016294Description:
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 - Articles and reports: 11-522-X20010016295Description:
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 ArchivedArticles and reports: 11-522-X20010016296Description:
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 ArchivedArticles and reports: 11-522-X20010016297Description:
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 - Articles and reports: 11-522-X20010016298Description:
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 - Articles and reports: 11-522-X20010016300Description:
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 - Articles and reports: 11-522-X20010016301Description:
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 ArchivedArticles and reports: 11-522-X20010016302Description:
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 - Articles and reports: 11-522-X20010016303Description:
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
- Previous Go to previous page of All results
- 1 Go to page 1 of All results
- ...
- 5 Go to page 5 of All results
- 6 Go to page 6 of All results
- 7 (current) Go to page 7 of All results
- 8 Go to page 8 of All results
- 9 Go to page 9 of All results
- 10 Go to page 10 of All results
- 11 Go to page 11 of All results
- Next Go to next page of All results
Stats in brief (1)
Stats in brief (1) ((1 result))
- 1. Purchasing Power Parities and Real Expenditures: United States/Canada - Updates, 1992-2001 ArchivedStats in brief: 13-604-M2002039Description:
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)
- Articles and reports: 11-522-X20010016292Description:
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 - Articles and reports: 11-522-X20010016294Description:
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 - Articles and reports: 11-522-X20010016295Description:
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 ArchivedArticles and reports: 11-522-X20010016296Description:
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 ArchivedArticles and reports: 11-522-X20010016297Description:
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 - Articles and reports: 11-522-X20010016298Description:
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 - Articles and reports: 11-522-X20010016300Description:
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 - Articles and reports: 11-522-X20010016301Description:
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 ArchivedArticles and reports: 11-522-X20010016302Description:
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 - Articles and reports: 11-522-X20010016303Description:
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
- Previous Go to previous page of Articles and reports results
- 1 Go to page 1 of Articles and reports results
- ...
- 5 Go to page 5 of Articles and reports results
- 6 Go to page 6 of Articles and reports results
- 7 (current) Go to page 7 of Articles and reports results
- 8 Go to page 8 of Articles and reports results
- 9 Go to page 9 of Articles and reports results
- 10 Go to page 10 of Articles and reports results
- 11 Go to page 11 of Articles and reports results
- Next Go to next page of Articles and reports results
Journals and periodicals (1)
Journals and periodicals (1) ((1 result))
- Journals and periodicals: 85F0036XGeography: CanadaDescription:
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
- Date modified: