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- 1. Large and complex surveys - discussion ArchivedArticles and reports: 11-522-X20010016230Description:
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 - Articles and reports: 11-522-X20010016260Description:
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 Vehicle Survey (CVS), which began in 1999, is designed to collect information about the usage of motor vehicles registered in Canada. The CVS target population includes all on-road vehicles (except special equipment, trailers and motorcycles) registered in Canada. A sample of vehicles is drawn each quarter and a seven-day trip log is used to gather detailed vehicle usage patterns. The log includes questions on kilometres driven, number of passengers, vehicle characteristics, trip purpose and travel times, driver and passenger demographics and fuel usage. Since this is a voluntary survey and the log takes seven days to complete, every effort is made to ensure a good response rate and prevent response errors. The first part of this paper describes the current survey design, data collection, and editing and imputation methodology. Then it goes on to explain the challenges associated with the different steps of the survey. Finally, findings from the research carried out to minimize the effects of non-sampling errors are presented.
Release date: 2002-09-12 - 3. Hot deck imputation for the response model ArchivedArticles and reports: 11-522-X20010016275Description:
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.
Hot deck imputation, in which missing items are replaced with values from respondents, is often used in survey sampling. A model supporting such procedures is the model in which response probabilities are assumed equal within imputation cells. In this paper, an efficient version of hot deck imputation is described, as are the variance of the efficient version derived under the cell response model and an approximation to the fully efficient procedure in which a small number of values are imputed for each non-respondent, respectively. Variance estimation procedures are presented and illustrated in a Monte Carlo study.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016304Description:
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 a test of two alternative sets of ratio edit and imputation procedures, both using the U.S. Census Bureau's generalized editing and imputation subsystem ("Plain Vanilla") on 1997 Economic Census data. The quality of the edited and imputed data from both sets of procedures were compared - both at the micro and macro level. Discussions followed on how these quantitative methods of comparison gave rise to the recommended changes for the current editing and imputation procedures.
Release date: 2002-09-12 - 5. Regression estimation for survey samples ArchivedArticles and reports: 12-001-X20020016408Description:
Regression and regression-related procedures have become common in survey estimation. We review the basic properties of regression estimators, discuss implementation of regression estimation, and investigate variance estimation for regression estimators. The role of models in constructing regression estimators and the use of regression in non-response adjustment are also explored.
Release date: 2002-07-05 - 6. Cognitive testing in questionnaire development, part one: the importance of the appropriate respondent ArchivedArticles and reports: 88-003-X20020016162Geography: CanadaDescription:
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
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- 1. Large and complex surveys - discussion ArchivedArticles and reports: 11-522-X20010016230Description:
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 - Articles and reports: 11-522-X20010016260Description:
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 Vehicle Survey (CVS), which began in 1999, is designed to collect information about the usage of motor vehicles registered in Canada. The CVS target population includes all on-road vehicles (except special equipment, trailers and motorcycles) registered in Canada. A sample of vehicles is drawn each quarter and a seven-day trip log is used to gather detailed vehicle usage patterns. The log includes questions on kilometres driven, number of passengers, vehicle characteristics, trip purpose and travel times, driver and passenger demographics and fuel usage. Since this is a voluntary survey and the log takes seven days to complete, every effort is made to ensure a good response rate and prevent response errors. The first part of this paper describes the current survey design, data collection, and editing and imputation methodology. Then it goes on to explain the challenges associated with the different steps of the survey. Finally, findings from the research carried out to minimize the effects of non-sampling errors are presented.
Release date: 2002-09-12 - 3. Hot deck imputation for the response model ArchivedArticles and reports: 11-522-X20010016275Description:
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.
Hot deck imputation, in which missing items are replaced with values from respondents, is often used in survey sampling. A model supporting such procedures is the model in which response probabilities are assumed equal within imputation cells. In this paper, an efficient version of hot deck imputation is described, as are the variance of the efficient version derived under the cell response model and an approximation to the fully efficient procedure in which a small number of values are imputed for each non-respondent, respectively. Variance estimation procedures are presented and illustrated in a Monte Carlo study.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016304Description:
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 a test of two alternative sets of ratio edit and imputation procedures, both using the U.S. Census Bureau's generalized editing and imputation subsystem ("Plain Vanilla") on 1997 Economic Census data. The quality of the edited and imputed data from both sets of procedures were compared - both at the micro and macro level. Discussions followed on how these quantitative methods of comparison gave rise to the recommended changes for the current editing and imputation procedures.
Release date: 2002-09-12 - 5. Regression estimation for survey samples ArchivedArticles and reports: 12-001-X20020016408Description:
Regression and regression-related procedures have become common in survey estimation. We review the basic properties of regression estimators, discuss implementation of regression estimation, and investigate variance estimation for regression estimators. The role of models in constructing regression estimators and the use of regression in non-response adjustment are also explored.
Release date: 2002-07-05 - 6. Cognitive testing in questionnaire development, part one: the importance of the appropriate respondent ArchivedArticles and reports: 88-003-X20020016162Geography: CanadaDescription:
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
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