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All (122)

All (122) (0 to 10 of 122 results)

1. User Guide for the Survey of Household Spending, 2001 Archived
Surveys and statistical programs – Documentation: 62F0026M2002002
Geography: Province or territory
Description:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2002-12-11
2. Labour Interview Questionnaire: January 2001 Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2002002
Description:
This document outlines the structure of the January 2001 Survey of Labour and Income Dynamics (SLID) labour interview, including question wording, possible responses and the flow of questions.
Release date: 2002-12-04
3. Preliminary Interview Questionnaire: January 2001 Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2002003
Description:
This paper presents the questions, possible responses and question flows for the 2001 Survey of Labour and Income Dynamics (SLID) preliminary questionnaire.
Release date: 2002-12-04
4. Entry Exit Component for Labour Interview: January 2001 Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2002004
Description:
This document presents the information for the Entry Exit portion of the Survey of Labour and Income Dynamics (SLID) Labour interview.
Release date: 2002-12-04
5. Modeling the burden of cancer in Canada Archived
Articles and reports: 82-005-X20020016479
Geography: Canada
Description:
The Population Health Model (POHEM) is a policy analysis tool that helps answer "what-if" questions about the health and economic burden of specific diseases and the cost-effectiveness of administering new diagnostic and therapeutic interventions. This simulation model is particularly pertinent in an era of fiscal restraint, when new therapies are generally expensive and difficult policy decisions are being made. More important, it provides a base for a broader framework to inform policy decisions using comprehensive disease data and risk factors. Our "base case" models comprehensively estimate the lifetime costs of treating breast, lung and colorectal cancer in Canada. Our cancer models have shown the large financial burden of diagnostic work-up and initial therapy, as well as the high costs of hospitalizing those dying of cancer. Our core cancer models (lung, breast and colorectal cancer) have been used to evaluate the impact of new practice patterns. We have used these models to evaluate new chemotherapy regimens as therapeutic options for advanced lung cancer; the health and financial impact of reducing the hospital length of stay for initial breast cancer surgery; and the potential impact of population-based screening for colorectal cancer. To date, the most interesting intervention we have studied has been the use of tamoxifen to prevent breast cancer among high risk women.
Release date: 2002-10-08
6. The EU Labour Force Survey : on the way to convergence and quality Archived
Surveys and statistical programs – Documentation: 11-522-X20010016225
Description:
The European Union Labour Forces Survey (LFS) is based on national surveys that were originally very different. For the past decade, under pressure from increasingly demanding users (particularly with respect to timeliness, comparability and flexibility), the LFS has been subjected to a constant process of quality improvement.
The following topics are presented in this paper:A. the quality improvement process, which comprises screening national survey methods, target structure, legal foundations, quality reports, more accurate and more explicit definitions of components, etc.;B. expected or achieved results, which include an ongoing survey producing quarterly results within reasonable time frames, comparable employment and unemployment rates over time and space in more than 25 countries, specific information on current political topics, etc.;C. continuing shortcomings, such as implementation delays in certain countries, possibilities of longitudinal analysis, public access to microdata, etc.; D. future tasks envisioned, such as adaptation of the list of ISCO and ISCED variables and nomenclatures (to take into account evolution in employment and teaching methods), differential treatment of structural variables and increased recourse to administrative files (to limit respondent burden), harmonization of questionnaires, etc.
Release date: 2002-09-12
7. The importance of a quality culture Archived
Articles and reports: 11-522-X20010016227
Description:
The reputation of a national statistical office depends on the level of service it provides. Quality must be a core value and providing excellent service has to be embedded in the culture of a statistical organization.
The paper outlines what is meant by a high quality statistical service. It explores factors that contribute to a quality work culture. In particular, it outlines the activities and experiences of the Australian Bureau of Statistics in maintaining a quality culture.
Release date: 2002-09-12
8. 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
9. The unified enterprise survey - its approach to quality Archived
Surveys and statistical programs – Documentation: 11-522-X20010016229
Description:
This paper discusses the approach that Statistics Canada has taken to improve the quality of annual business surveys through their integration in the Unified Enterprise Survey (UES). The primary objective of the UES is to measure the final annual sales of goods and services accurately by province, in sufficient detail and in a timely manner.
This paper describes the methodological approaches that the UES has used to improve financial and commodity data quality in four broad areas. These include improved coherence of the data collected from different levels of the enterprise, better coverage of industries, better depth of information (in the sense of more content detail and estimates for more detailed domains) and better consistency of the concepts and methods across industries.
The approach, in achieving quality, has been to (a) establish a base measure of the quality of the business survey program prior to the UES, (b) measure the annual data quality of the UES, and (c) carry out specific studies to better understand the quality of UES data and methods.
Release date: 2002-09-12
10. Large and complex surveys - discussion Archived
Articles and reports: 11-522-X20010016230
Description:
This publication consists of three papers, each addressing data quality issues associated with a large and complex survey. Two of the case studies involve household surveys of labour force activity and the third focuses on a business survey. The papers each address a data quality topic from a different perspective, but share some interesting common threads.
Release date: 2002-09-12

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Analysis (107)

Analysis (107) (10 to 20 of 107 results)

11. Still rolling: Leslie Kish's "rolling samples" and the American Community Survey Archived
Articles and reports: 11-522-X20010016241
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.
Leslie Kish long advocated the use of the "rolling sample" design. With non-overlapping, monthly panels that can be cumulated over different lengths of time for domains of different sizes, the rolling sample design enables a single survey to serve multiple purposes. The Census Bureau's new American Community Survey uses such a rolling sample design with annual averages to measure change at the state level, and three-year or five-year moving averages to describe progressively smaller domains. This paper traces Kish's influence on the development of the American Community Survey, and discusses some practical methodological issues that had to be addressed during the implementation of the design.
Release date: 2002-09-12
12. Leslie Kish: development of statistics internationally Archived
Articles and reports: 11-522-X20010016242
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.
"Remembering Leslie Kish" provides us with a personal view of his many contributions to the international development of statistics. One of the elements that made his contributions so special and effective was the "Kish approach". The characteristic features of this approach include: identifying what is important; formulating and answering practical questions; seeking patterns and frameworks; and above all, persisting in the promotion of good ideas. Areas in which his technical contributions have made the most impact on practical survey work in developing countries have been identified. A unique aspect of Leslie's contribution is the motivation he created for the development of a world-wide community of survey samplers.
Release date: 2002-09-12
13. Recent developments in electronic data collection at the U. S. Census Bureau Archived
Articles and reports: 11-522-X20010016243
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.
Since 1996, the Census Bureau has been creating Web Computerized Self-Administered Questionnaires (CSAQs). These electronic questionnaires have some data quality advantages over paper questionnaires such as the availability of online help; pre-loaded data; the use of interactive edits (which allows respondents to correct their responses as they are entered); and, for establishment surveys, the ability to import data from spreadsheets. This paper provides an overview of the Census Bureau's Web CSAQs. Each of the Web CSAQ design features promoting data quality are explained, as well as the features that impose data quality obstacles. Finally, some recent, empirical, data quality results from both establishment and household surveys are presented.
Release date: 2002-09-12
14. Statistics New Zealand: recent developments in electronic data collection Archived
Articles and reports: 11-522-X20010016244
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.
Over the past few years, Statistics New Zealand (SNZ) has experienced an increase in the volume of business survey data supplied by e-mail. However, up until now, SNZ has not had the business processes available to support electronic collection in a way that meets both the needs of SNZ and data suppliers. To this end, SNZ has invested a lot of effort over the last year in investigating how best to approach the problems and opportunities presented by electronic data collection. This paper outlines SNZ's plans to move the e-mail supplied data to a secure lodgement facility and the future development of an internet-based data collection system. It also presents a case study of the Monthly Retail Trade Survey data currently supplied by e-mail. This case study illustrates some of the benefits of electronic data, but also examines some of the costs to the organization and the data quality problems encountered. It also highlights the need to consider the data collection methodology within the wider context of the total survey cycle.
Release date: 2002-09-12
15. 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
16. On measuring the quality of indirect small area estimates Archived
Articles and reports: 11-522-X20010016246
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.
Samples sizes in small population areas are typically very small. As a result, customary, area-specific, direct estimators of Small Area Means do not provide acceptable quality in terms of Mean Square Error (MSE). Indirect estimators that borrow strength from related areas by linking models based on similar auxiliary data are now widely used for small area estimation. Such linking models are either implicit (as in the case of synthetic estimators) or explicit (as in the case of model-based estimators). In the Frequentist approach, the quality of an indirect estimator is measured by its estimated MSE while the posterior variance of the Small Area Mean is used in the Bayesian approach. This paper reviews some recent work on estimating MSE and the evaluation of posterior variance.
Release date: 2002-09-12
17. Evaluation of small area estimation methods - An application to unemployment estimates from the UK LFS Archived
Articles and reports: 11-522-X20010016247
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 describes joint research by the Office for National Statistics (ONS) and Southampton University regarding the evaluation of several different approaches to the local estimation of International Labour Office (ILO) unemployment. The need to compare estimators with different underlying assumptions has led to a focus on evaluation methods that are (partly at least) model-independent. Model-fit diagnostics that have been considered include: various residual procedures, cross-validation, predictive validation, consistency with marginals, and consistency with direct estimates within single cells. These diagnostics have been used to compare different model-based estimators with each other and with direct estimators.
Release date: 2002-09-12
18. Evaluating frame coverage and activity of micro-businesses in sawmilling in the UK Archived
Articles and reports: 11-522-X20010016248
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 Sawmill Survey is a voluntary census of sawmills in Great Britain. It is limited to fixed mills using domestically-grown timber. Three approaches to assess the coverage of this survey are described:
(1) A sample survey of the sawmilling industry from the UK's business register, excluding businesses already sampled in the Sawmill Survey, is used to assess the undercoverage in the list of known sawmills; (2) A non-response follow-up using local knowledge of regional officers of the Forestry Commission, is used to estimate the sawmills that do not respond (mostly the smaller mills); and (3) A survey of small-scale sawmills and mobile sawmills (many of these businesses are micro-enterprises) is conducted to analyse their significance.
These three approaches are synthesized to give an estimate of the coverage of the original survey compared with the total activity identified, and to estimate the importance of micro-enterprises to the sawmilling industry in Great Britain.
Release date: 2002-09-12
19. Quality assurance challenges in the United States' Census 2000 Archived
Articles and reports: 11-522-X20010016249
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 United States' Census 2000 operations were more innovative and complex than ever before. State population totals were required to be produced within nine months and, using the coverage measurement survey, adjusted counts were expected within one year. Therefore, all operations had to be implemented and completed quickly with quality assurance (QA) that had both an effective and prompt turnaround. The QA challenges included: getting timely information to supervisors (such as enumerator re-interview information), performing prompt checks of "suspect" work (such as monitoring contractors to ensure accurate data capture), and providing reports to headquarters quickly. This paper presents these challenges and their solutions in detail, thus providing an overview of the Census 2000 QA program.
Release date: 2002-09-12
20. Korea's experiences in statistical quality assessment Archived
Articles and reports: 11-522-X20010016250
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 describes the Korea National Statistics Office's (KNSO) experiences in data quality assessment and introduces the strategies of institutionalizing the assessment procedure. This paper starts by briefly describing the definition of quality assessment, quality dimensions and indicators at the national level. It introduces the current situation of the quality assessment process in KNSO and lists the six dimensions of quality that have been identified: relevance, accuracy, timeliness, accessibility, comparability and efficiency. Based on the lessons learned from these experiences, this paper points out three essential elements required in an advanced system of data quality assessment: an objective and independent planning system, a set of appropriate indicators and competent personnel specialized in data quality assessment.
Release date: 2002-09-12

Reference (15)

Reference (15) (0 to 10 of 15 results)

1. User Guide for the Survey of Household Spending, 2001 Archived
Surveys and statistical programs – Documentation: 62F0026M2002002
Geography: Province or territory
Description:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2002-12-11
2. Labour Interview Questionnaire: January 2001 Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2002002
Description:
This document outlines the structure of the January 2001 Survey of Labour and Income Dynamics (SLID) labour interview, including question wording, possible responses and the flow of questions.
Release date: 2002-12-04
3. Preliminary Interview Questionnaire: January 2001 Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2002003
Description:
This paper presents the questions, possible responses and question flows for the 2001 Survey of Labour and Income Dynamics (SLID) preliminary questionnaire.
Release date: 2002-12-04
4. Entry Exit Component for Labour Interview: January 2001 Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2002004
Description:
This document presents the information for the Entry Exit portion of the Survey of Labour and Income Dynamics (SLID) Labour interview.
Release date: 2002-12-04
5. The EU Labour Force Survey : on the way to convergence and quality Archived
Surveys and statistical programs – Documentation: 11-522-X20010016225
Description:
The European Union Labour Forces Survey (LFS) is based on national surveys that were originally very different. For the past decade, under pressure from increasingly demanding users (particularly with respect to timeliness, comparability and flexibility), the LFS has been subjected to a constant process of quality improvement.
The following topics are presented in this paper:A. the quality improvement process, which comprises screening national survey methods, target structure, legal foundations, quality reports, more accurate and more explicit definitions of components, etc.;B. expected or achieved results, which include an ongoing survey producing quarterly results within reasonable time frames, comparable employment and unemployment rates over time and space in more than 25 countries, specific information on current political topics, etc.;C. continuing shortcomings, such as implementation delays in certain countries, possibilities of longitudinal analysis, public access to microdata, etc.; D. future tasks envisioned, such as adaptation of the list of ISCO and ISCED variables and nomenclatures (to take into account evolution in employment and teaching methods), differential treatment of structural variables and increased recourse to administrative files (to limit respondent burden), harmonization of questionnaires, etc.
Release date: 2002-09-12
6. The unified enterprise survey - its approach to quality Archived
Surveys and statistical programs – Documentation: 11-522-X20010016229
Description:
This paper discusses the approach that Statistics Canada has taken to improve the quality of annual business surveys through their integration in the Unified Enterprise Survey (UES). The primary objective of the UES is to measure the final annual sales of goods and services accurately by province, in sufficient detail and in a timely manner.
This paper describes the methodological approaches that the UES has used to improve financial and commodity data quality in four broad areas. These include improved coherence of the data collected from different levels of the enterprise, better coverage of industries, better depth of information (in the sense of more content detail and estimates for more detailed domains) and better consistency of the concepts and methods across industries.
The approach, in achieving quality, has been to (a) establish a base measure of the quality of the business survey program prior to the UES, (b) measure the annual data quality of the UES, and (c) carry out specific studies to better understand the quality of UES data and methods.
Release date: 2002-09-12
7. Data collection methods for the 2001 Census of Agriculture Archived
Surveys and statistical programs – Documentation: 11-522-X20010016234
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.
With the goal of obtaining a complete enumeration of the Canadian agricultural sector, the 2001 Census of Agriculture has been conducted using several collection methods. Challenges to the traditional drop-off and mail-back of paper questionnaires in a household-based enumeration have led to the adoption of supplemental methods using newer technologies to maintain the coverage and content of the census. Overall, this mixed-mode data collection process responds to the critical needs of the census programme at various points. This paper examines these data collection methods, several quality assessments, and the future challenges of obtaining a co-ordinated view of the methods' individual approaches to achieving data quality.
Release date: 2002-09-12
8. Nonresponse bias analyses at the National Center for Education Statistics Archived
Surveys and statistical programs – Documentation: 11-522-X20010016269
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 surveys with low response rates, non-response bias can be a major concern. While it is not always possible to measure the actual bias due to non-response, there are different approaches that help identify potential sources of non-response bias. In the National Center for Education Statistics (NCES), surveys with a response rate lower than 70% must conduct a non-response bias analysis. This paper discusses the different approaches to non-response bias analyses using examples from NCES.
Release date: 2002-09-12
9. Summit of the Americas Regional Education Indicators Project: data quality challenges Archived
Surveys and statistical programs – Documentation: 11-522-X20010016293
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 presents the Second Summit of the Americas Regional Education Indicators Project (PRIE), whose basic goal is to develop a set of comparable indicators for the Americas. This project is led by the Ministry of Education of Chile and has been developed in response to the countries' needs to improve their information systems and statistics. The countries need to construct reliable and relevant indicators to support decisions in education, both within their individual countries and the region as a whole. The first part of the paper analyses the importance of statistics and indicators in supporting educational policies and programs, and describes the present state of the information and statistics systems in these countries. It also discusses the major problems faced by the countries and reviews the countries' experiences in participating in other education indicators' projects or programs, such as the INES Program, WEI Project, MERCOSUR and CREMIS. The second part of the paper examines PRIE's technical co-operation program, its purpose and implementation. The second part also emphasizes how technical co-operation responds to the needs of the countries, and supports them in filling in the gaps in available and reliable data.
Release date: 2002-09-12
10. Response error reinterview of the 1999-2000 Schools and Staffing Survey Archived
Surveys and statistical programs – Documentation: 11-522-X20010016308
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 Census Bureau uses response error analysis to evaluate the effectiveness of survey questions. For a given survey, questions that are deemed critical to the survey or considered problematic from past examination are selected for analysis. New or revised questions are prime candidates for re-interview. Re-interview is a new interview where a subset of questions from the original interview are re-asked to a sample of the survey respondents. For each re-interview question, the proportion of respondents who give inconsistent responses is evaluated. The "Index of Inconsistency" is used as the measure of response variance. Each question is labelled low, moderate, or high in response variance. In high response variance cases, the questions are put through cognitive testing, and modifications to the question are recommended.
The Schools and Staffing Survey (SASS) sponsored by The National Center for Education Statistics (NCES), is also investigated for response error analysis and the possible relationships between inconsistent responses and characteristics of the schools and teachers in that survey. Results of this analysis can be used to change survey procedures and improve data quality.
Release date: 2002-09-12

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Date modified:: 2024-04-18