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- 1. Evaluation and treatment of non-response in the ELFE cohort: Results of the pilot studies ArchivedArticles and reports: 11-522-X200800010960Description:
Non-response is inevitable in any survey, despite all the effort put into reducing it at the various stages of the survey. In particular, non-response can cause bias in the estimates. In addition, non-response is an especially serious problem in longitudinal studies because the sample shrinks over time. France's ELFE (Étude Longitudinale Française depuis l'Enfance) is a project that aims to track 20,000 children from birth to adulthood using a multidisciplinary approach. This paper is based on the results of the initial pilot studies conducted in 2007 to test the survey's feasibility and acceptance. The participation rates are presented (response rate, non-response factors) along with a preliminary description of the non-response treatment methods being considered.
Release date: 2009-12-03 - 2. Achieving data coherence for complex enterprises ArchivedArticles and reports: 11-522-X200800010985Description:
In Canada, although complex businesses represent less than 1% of the total number of businesses, they contribute more than 45% of the total revenue. Statistics Canada recognized that the quality of the data collected from them is of great importance and has adopted several initiatives to improve the quality. One of the initiatives is the evaluation of the coherence of the data collected from large, complex enterprises. The findings of these recent coherence analyses have been instrumental in identifying areas for improvement. These, once addressed and improved, would be increasing the quality of the data collected from the large, complex enterprises while reducing the response burden imposed on them.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010992Geography: CanadaDescription:
The Canadian Community Health Survey (CCHS) was redesigned in 2007 so that it could use the continuous data collection method. Since then, a new sample has been selected every two months, and the data have also been collected over a two-month period. The survey uses two collection techniques: computer-assisted personal interviewing (CAPI) for the sample drawn from an area frame, and computer-assisted telephone interviewing (CATI) for the sample selected from a telephone list frame. Statistics Canada has recently implemented some data collection initiatives to reduce the response burden and survey costs while maintaining or improving data quality. The new measures include the use of a call management tool in the CATI system and a limit on the number of calls. They help manage telephone calls and limit the number of attempts made to contact a respondent. In addition, with the paradata that became available very recently, reports are now being generated to assist in evaluating and monitoring collection procedures and efficiency in real time. The CCHS has also been selected to implement further collection initiatives in the future. This paper provides a brief description of the survey, explains the advantages of continuous collection and outlines the impact that the new initiatives have had on the survey.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800011004Description:
The issue of reducing the response burden is not new. Statistics Sweden works in different ways to reduce response burden and to decrease the administrative costs of data collection from enterprises and organizations. According to legislation Statistics Sweden must reduce response burden for the business community. Therefore, this work is a priority. There is a fixed level decided by the Government to decrease the administrative costs of enterprises by twenty-five percent until year 2010. This goal is valid also for data collection for statistical purposes. The goal concerns surveys with response compulsory legislation. In addition to these surveys there are many more surveys and a need to measure and reduce the burden from these surveys as well. In order to help measure, analyze and reduce the burden, Statistics Sweden has developed the Register of Data providers concerning enterprises and organization (ULR). The purpose of the register is twofold, to measure and analyze the burden on an aggregated level and to be able to give information to each individual enterprise which surveys they are participating in.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800011006Description:
The Office for National Statistics (ONS) has an obligation to measure and annually report on the burden that it places on businesses participating in its surveys. There are also targets for reduction of costs to businesses complying with government regulation as part of the 2005 Administrative Burdens Reduction Project (ABRP) coordinated by the Better Regulation Executive (BRE).
Respondent burden is measured by looking at the economic costs to businesses. Over time the methodology for measuring this economic cost has changed with the most recent method being the development and piloting of a Standard Cost Model (SCM) approach.
The SCM is commonly used in Europe and is focused on measuring objective administrative burdens for all government requests for information e.g. tax returns, VAT, as well as survey participation. This method was not therefore specifically developed to measure statistical response burden. The SCM methodology is activity-based, meaning that the costs and time taken to fulfil requirements are broken down by activity.
The SCM approach generally collects data using face-to-face interviews. The approach is therefore labour intensive both from a collection and analysis perspective but provides in depth information. The approach developed and piloted at ONS uses paper self-completion questionnaires.
The objective of this paper is to provide an overview of respondent burden reporting and targets; and to review the different methodologies that ONS has used to measure respondent burden from the perspectives of sampling, data collection, analysis and usability.
Release date: 2009-12-03 - Articles and reports: 75F0002M1992009Description:
There are many issues to consider when developing and conducting a survey. Length, complexity and timing of the survey are all factors that may influence potential respondents' likelihood to participate in a survey. One important issue that affects this decision is the extent to which a questionnaire appears to be an invasion of privacy. Information on income and finances is one type of information that many people are reluctant to share but that is important for policy and research purposes.
Collecting such information for the Survey of Consumer Finances (SCF) has proven difficult, and has resulted in higher than average non-response rate for a supplemental survey to the Labour Force Survey. Given the similarity between the SCF and an upcoming survey, the Survey of Labour and Income Dynamics (SLID), it is important to examine the reasons behind the SCF's higher non-response rate and obtain suggestions for increasing response rate and gaining commitment from respondents to the 6-year SLID.
Statistics Canada asked Price Waterhouse to conduct focus groups and in-depth interviews with respondents and non-respondents to the SCF. The objectives of these focus groups and in-depth interviews were to explore reasons for response and non-response, issues of privacy and confidentiality and understanding of the terms used in the survey, and to test reactions to the appearance of a draft SLID package.
Release date: 2008-10-21 - 7. Learning the unique and peculiar challenges of direct health measures surveys: the Canadian experience ArchivedArticles and reports: 11-522-X200600110412Description:
The Canadian Health Measures Survey (CHMS) represents Statistics Canada's first health survey employing a comprehensive battery of direct physical measurements of health. The CHMS will be collecting directly measured health data on a representative sample of 5000 Canadians aged 6 to 79 in 2007 to 2009. After a comprehensive in-home health interview, respondents report to a mobile examination centre where direct health measures are performed. Measures include fitness tests, anthropometry, objective physical activity monitoring, spirometry, blood pressure measurements, oral health measures and blood and urine sampling. Blood and urine are analyzed for measures of chronic disease, infectious disease, nutritional indicators and environmental biomarkers. This survey has many unique and peculiar challenges rarely experienced by most Statistics Canada surveys; some of these challenges are described in this paper. The data collected through the CHMS is unique and represents a valuable health surveillance and research resource for Canada.
Release date: 2008-03-17 - Articles and reports: 75F0002M1992003Description:
As SLID is a longitudinal survey, it is desirable to retain respondents in the sample for as long as possible. However, sample attrition and changes in the popu lation result in the sample becoming less representative of the population as time passes. To balance these factors, the sample for a longitudinal survey may be comprised of panels, with each panel being representative of the target population. Starting with a fixed sample size, the paper examines feasible options for the number of panels in the sample and the length of time which each panel remains in the survey. The rationale for the selected option is reviewed.
Release date: 2008-02-29 - Articles and reports: 82-003-S200700010361Description:
This article summarizes the background, history and rationale for the Canadian Health Measures Survey, and provides an overview of the objectives, methods and analysis plans.
Release date: 2007-12-05 - Articles and reports: 11-522-X20050019439Description:
The data collection process is becoming increasingly more challenging due to a number of factors, including: ageing of the farm population, decreasing number of farmers, increasing farm sizes, financial crises arising from BSE (mad cow disease) and the avian influenza, and from extreme climatic impacts causing drought conditions in some areas and flooding in others. There also seems to be rising levels of concern about privacy and confidentiality. This paper will describe how agriculture is an industry in transition, how difficulties faced by the agricultural sector impact data collection issues, and how our subsequent responses and actions are addressing these challenging issues.
Release date: 2007-03-02
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Analysis (31)
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- Articles and reports: 11-522-X20010016271Description:
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 - Articles and reports: 11-522-X20010016310Description:
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 the previous studies, response quality has been investigated mostly in association with the characteristics of the interviewer, the respondent, the questionnaires, or the modes of data collection, but rarely with the process of interview interaction. From the process perspective, this paper examines the relationship between interview co-operation and procedural response quality. The interview co-operation is based on the interviewer's evaluation of his or her interaction with the respondent. The procedural response quality is based on error and non-responses derived from the interviewer's field performance of a completed questionnaire.
The data collected from two subsets (Part I and Part II) of the Taiwan Social Change Survey (TSCS) of year 2000 were analysed using the Hierarchical Linear Model (HLM). The results show that the interviewer's education (Part I) or work experience (Part II) has a significant effect on the procedural response quality. The significant effect of the interview co-operation on the procedural response quality is found only in Part I. The HLM analysis also suggests an interaction effect of the interview co-operation with the interviewer's characteristics (education for Part I and work experience for Part II). In conclusion, suggestions have been made that survey contents are an important factor in differentiating the relationship between procedural response quality and interview co-operation.
Release date: 2002-09-12 - 23. Results of the Tax Permission Questionnaire in the Survey of Labour and Income Dynamics ArchivedArticles and reports: 75F0002M2001002Description:
This study analyses the results of the tax permission question (the choice of reporting income by interview or giving Statistics Canada permission to access tax records) in the Survey of Labour and Income Dynamics (SLID) for the reference year 1997. Rates are compared among various sub-groups of the population to see if there are any variations based on identifiable characteristics.
Release date: 2001-03-08 - 24. Poisson mixture sampling: A family of designs for coordinated selection using permanent random numbers ArchivedArticles and reports: 12-001-X19990014707Description:
This paper introduces Poisson Mixture sampling, a family of sampling designs so named because each member of the family is a mixture of two Poisson sampling designs, Poisson nps sampling and Bernoulli sampling. These two designs are at opposite ends of a continuous spectrum, indexed by a continuous parameter. Poisson Mixture sampling is conceived for use with the highly skewed populations often arising in business surveys. It gives the statistician a range of different options for the extent of the sample coordination and the control of response burden. Some Poisson Mixture sampling designs give considerably more precise estimates than the usual Poisson nps sampling. This result is noteworthy, because Poisson nps is in itself highly efficient, assuming it is based on a strong measure of size.
Release date: 1999-10-08 - Articles and reports: 75F0002M1998015Description:
This paper reviews some of the substantive findings that have emerged from recent studies which used longitudinal data sources. It then discusses the 'growing pains' that can occur as these complex sources find their niche, and explores some of the lessons learned in the Canadian context.
Release date: 1998-12-30 - Articles and reports: 88F0017M1996003Geography: CanadaDescription:
This paper examines a number of significant changes (real or perceived) related to wages and earnings, in the Canadian context, since the recession of the early 1980s.
Release date: 1998-10-30 - 27. Activity Limitation Questions in the Survey of Labour and Income Dynamics (SLID): Results from the January 1993 Test ArchivedArticles and reports: 75F0002M1993010Description:
This paper evaluates the results of the questions related to activity limitation and its impact on labour market activity from the January 1993 Survey of Labour and Income Dynamics (SLID) test.
Release date: 1995-12-30 - 28. Measuring Non-response in a Longitudinal Survey: The Experience of the Survey of Labour and Income Dynamics ArchivedArticles and reports: 75F0002M1994016Description:
This paper presents various data quality measures proposed for the Survey of Labour and Income Dynamics (SLID), including wave and panel response rates and measures of the characteristics of non-respondents.
Release date: 1995-12-30 - Articles and reports: 12-001-X199100114520Description:
The current Survey of Employment, Payroll and Hours, conducted by the Labour Division of Statistics Canada is a major monthly survey collecting data from a large sample of business establishments. This paper describes the methodology of the survey. The description of the stratification, sample size determination and allocation procedures is brief, whereas the description of the rotation procedure is more detailed because of its complexity. Some of the possible simplifications of the design are also highlighted.
Release date: 1991-06-14 - 30. Large scale imputation of survey data ArchivedArticles and reports: 12-001-X197800254833Description: Owners of small businesses complain about the quantity of forms they are required to collectors of statistics. Administrative data are an alternative source but do not usually include all the information required by the survey takers.The “Tax Data Imputation System” makes use of tax data collected from a large number of businesses by Revenue Canada and data obtained by sample survey for a small subset of these businesses. Survey data is imputed (estimated) for all the businesses not actually surveyed using a “hot-deck” technique, with adjustments made to ensure certain edit rules are satisfied. The results of a simulation study suggest that this procedure has reasonable statistical properties. Estimators (of means or totals) are unbiased with variances of comparable size to the corresponding ratio estimators.Release date: 1978-12-15
Reference (9)
Reference (9) ((9 results))
- Surveys and statistical programs – Documentation: 68-514-XDescription:
Statistics Canada's approach to gathering and disseminating economic data has developed over several decades into a highly integrated system for collection and estimation that feeds the framework of the Canadian System of National Accounts.
The key to this approach was creation of the Unified Enterprise Survey, the goal of which was to improve the consistency, coherence, breadth and depth of business survey data.
The UES did so by bringing many of Statistics Canada's individual annual business surveys under a common framework. This framework included a single survey frame, a sample design framework, conceptual harmonization of survey content, means of using relevant administrative data, common data collection, processing and analysis tools, and a common data warehouse.
Release date: 2006-11-20 - 2. Useful Information for Construction ArchivedSurveys and statistical programs – Documentation: 64F0004XDescription:
This practical and informative guide for the construction industry will assist in navigating through numerous Statistics Canada products and services.
Release date: 2002-12-13 - Surveys and statistical programs – Documentation: 11-522-X20010016308Description:
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 - Surveys and statistical programs – Documentation: 13F0026M1999006Description:
Although income and expenditure data provide an indication of current consumption and ability to purchase goods and services, they provide little information on the long-term ability of families to sustain themselves. The results of this survey will provide information on the net worth (wealth) of Canadian families, that is, the value of their assets less their debts.
This paper examines the objectives of the survey, how the survey has changed since 1984, the types of questions being asked and information that will be provided, as well as other survey background. An accompanying table outlines the content of the questionnaire. The intent of this paper is to describe the work done to date and the next steps for this important subject.
Release date: 1999-09-27 - 5. Unified Enterprise Survey Information Package ArchivedSurveys and statistical programs – Documentation: 68F0015XDescription:
The purpose of this paper is to provide some general background and describe the methodology of the pilot year Unified Enterprise Survey (UES). It also illustrates the role of the Unified Enterprise Survey Program (UESP) within The Project to Improve Provincial Economic Statistics (PIPES) program. This information package is targeted toward external clients, for example the Provincial Focal Points, enabling them to assess future data releases planned by industry sector. The scope of this information package will be expanded as subsequent data releases over the next six months or so provide more industry specific details for the seven new pilot industries included in the 1997 UES. This document is approximately twenty-two pages in length and is to be offered at no charge to callers requesting information on the UES.
Release date: 1999-09-01 - 6. Statistics Canada's Business Surveys ArchivedSurveys and statistical programs – Documentation: 61F0019X19990025579Geography: CanadaDescription:
The Unified Enterprise Survey (UES) incorporates several annual business surveys into an integrated survey framework. It aims to ensure Statistics Canada receives consistent and integrated data from many types and sizes of businesses, with enough detail to produce accurate provincial statistics. This year, 17 industry surveys are included in the UES, as well as two cross-industry surveys of large enterprises.
Release date: 1999-06-25 - Notices and consultations: 13F0026M1999002Description:
This document summarizes the comments and feedback received on an earlier document: Towards a new Canadian asset and debt survey - A content discussion paper. The new asset and debt survey (now called the Survey of Financial Security) is to update the wealth information on Canadian families and unattached individuals. Since the last data collection was conducted in 1984, it was essential to include a consultative process in the development of the survey in order to obtain feedback on issues of concern and to define the conceptual framework for the survey.
Comments on the content discussion paper are summarized by major theme and sections indicate how the suggestions are being incorporated into the survey or why they could not be incorporated. This paper also mentions the main objectives of the survey and provides an overview of the survey content, revised according to the feedback from the discussion paper.
Release date: 1999-03-23 - Surveys and statistical programs – Documentation: 75F0002M1993009Description:
This paper presents an analysis of the questions in the Survey of Labour and Income Dynamics (SLID) relating to supervision and management. It uses data collected in January 1993.
Release date: 1995-12-30 - Surveys and statistical programs – Documentation: 75F0002M1993013Description:
This report examines the results of the January 1993 test of questions on the impact of unpaid care-giving and receipt of unpaid care on labour market participation, and discusses whether these questions adequately met the objectives.
Release date: 1995-12-30
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