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- Articles and reports: 11-522-X200800010997Description:
Over the past few years, Statistics Canada has conducted several analytical studies using paradata to learn more about various issues surrounding the data collection process and practices. In particular, these investigations have attempted to better understand how data collection progresses through its cycle, to identify strategic opportunities, to evaluate new collection initiatives and to improve the way the agency conducts and manages its surveys. The main objectives of this paper are to present the main results of these past and ongoing investigations describing Statistics Canada's experiences with regards to paradata. Future research plans that focus on identifying viable operational strategies that could improve efficiency or data quality are also discussed.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800011005Description:
In 2006 Statistics New Zealand started developing a strategy aimed at coordinating new and existing initiatives focused on respondent load. The development of the strategy lasted more than a year and the resulting commitment to reduce respondent load has meant that the organisation has had to confront a number of issues that impact on the way we conduct our surveys.
The next challenge for Statistics NZ is the transition from the project based initiatives outlined in the strategy to managing load on an ongoing basis.
Release date: 2009-12-03 - 13. Enhancements to data collection: The Real Time Data Management System (RTMS) and Global Positioning Systems (GPS) ArchivedArticles and reports: 11-522-X200800011015Description:
Statistics South Africa (StatsSA) prides itself in the accuracy and validity of data collected, processed and disseminated. The introduction of a Real Time Management System (RTMS) and the Global Positioning System (GPS) into field operations is aimed at enhancing the process of data collection and minimising errors with regard to locating sampled dwelling units and tracking material from one point in the survey chain to another.
The Quarterly Labour Force Survey (QLFS) is a pioneering project at Stats SA where the Master sample (MS) is linked to a GPS data base, where every record listed on the MS listing book has a corresponding GPS coordinate captured for it. These GPS points allows the Survey Officer to record spatially where different records are on the ground that are being listed (i.e. shops, houses, schools, churches etc.). The captured information is then linked to a shape file which populates where the structures are on the ground in relation to the manual listing records.
Release date: 2009-12-03 - 14. Closing remarks of the Symposium 2008: Data Collection: Challenges, Achievements and New Directions ArchivedArticles and reports: 11-522-X200800011016Description:
Now that we have come to the end of a day of workshops plus three very full days of sessions, I have the very pleasant task of offering a few closing remarks and, more importantly, of recognizing the efforts of those who have contributed to the success of this year's symposium. And it has clearly been a success.
Release date: 2009-12-03 - Stats in brief: 13-605-X200900111029Description:
Quarterly international merchandise trade statistics are published approximately six weeks after the reference period. Two weeks later, these data are incorporated into the Income and Expenditure Accounts, at which point they are subject to revision. This note outlines the primary sources of the revisions.
Release date: 2009-11-19 - 16. Survey weighted hat matrix and leverages ArchivedArticles and reports: 12-001-X200900110881Description:
Regression diagnostics are geared toward identifying individual points or groups of points that have an important influence on a fitted model. When fitting a model with survey data, the sources of influence are the response variable Y, the predictor variables X, and the survey weights, W. This article discusses the use of the hat matrix and leverages to identify points that may be influential in fitting linear models due to large weights or values of predictors. We also contrast findings that an analyst will obtain if ordinary least squares is used rather than survey weighted least squares to determine which points are influential.
Release date: 2009-06-22 - 17. Stratified balanced sampling ArchivedArticles and reports: 12-001-X200900110888Description:
In the selection of a sample, a current practice is to define a sampling design stratified on subpopulations. This reduces the variance of the Horvitz-Thompson estimator in comparison with direct sampling if the strata are highly homogeneous with respect to the variable of interest. If auxiliary variables are available for each individual, sampling can be improved through balanced sampling within each stratum, and the Horvitz-Thompson estimator will be more precise if the auxiliary variables are strongly correlated with the variable of interest. However, if the sample allocation is small in some strata, balanced sampling will be only very approximate. In this paper, we propose a method of selecting a sample that is balanced across the entire population while maintaining a fixed allocation within each stratum. We show that in the important special case of size-2 sampling in each stratum, the precision of the Horvitz-Thompson estimator is improved if the variable of interest is well explained by balancing variables over the entire population. An application to rotational sampling is also presented.
Release date: 2009-06-22
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Analysis (17)
Analysis (17) (10 to 20 of 17 results)
- Articles and reports: 11-522-X200800010997Description:
Over the past few years, Statistics Canada has conducted several analytical studies using paradata to learn more about various issues surrounding the data collection process and practices. In particular, these investigations have attempted to better understand how data collection progresses through its cycle, to identify strategic opportunities, to evaluate new collection initiatives and to improve the way the agency conducts and manages its surveys. The main objectives of this paper are to present the main results of these past and ongoing investigations describing Statistics Canada's experiences with regards to paradata. Future research plans that focus on identifying viable operational strategies that could improve efficiency or data quality are also discussed.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800011005Description:
In 2006 Statistics New Zealand started developing a strategy aimed at coordinating new and existing initiatives focused on respondent load. The development of the strategy lasted more than a year and the resulting commitment to reduce respondent load has meant that the organisation has had to confront a number of issues that impact on the way we conduct our surveys.
The next challenge for Statistics NZ is the transition from the project based initiatives outlined in the strategy to managing load on an ongoing basis.
Release date: 2009-12-03 - 13. Enhancements to data collection: The Real Time Data Management System (RTMS) and Global Positioning Systems (GPS) ArchivedArticles and reports: 11-522-X200800011015Description:
Statistics South Africa (StatsSA) prides itself in the accuracy and validity of data collected, processed and disseminated. The introduction of a Real Time Management System (RTMS) and the Global Positioning System (GPS) into field operations is aimed at enhancing the process of data collection and minimising errors with regard to locating sampled dwelling units and tracking material from one point in the survey chain to another.
The Quarterly Labour Force Survey (QLFS) is a pioneering project at Stats SA where the Master sample (MS) is linked to a GPS data base, where every record listed on the MS listing book has a corresponding GPS coordinate captured for it. These GPS points allows the Survey Officer to record spatially where different records are on the ground that are being listed (i.e. shops, houses, schools, churches etc.). The captured information is then linked to a shape file which populates where the structures are on the ground in relation to the manual listing records.
Release date: 2009-12-03 - 14. Closing remarks of the Symposium 2008: Data Collection: Challenges, Achievements and New Directions ArchivedArticles and reports: 11-522-X200800011016Description:
Now that we have come to the end of a day of workshops plus three very full days of sessions, I have the very pleasant task of offering a few closing remarks and, more importantly, of recognizing the efforts of those who have contributed to the success of this year's symposium. And it has clearly been a success.
Release date: 2009-12-03 - Stats in brief: 13-605-X200900111029Description:
Quarterly international merchandise trade statistics are published approximately six weeks after the reference period. Two weeks later, these data are incorporated into the Income and Expenditure Accounts, at which point they are subject to revision. This note outlines the primary sources of the revisions.
Release date: 2009-11-19 - 16. Survey weighted hat matrix and leverages ArchivedArticles and reports: 12-001-X200900110881Description:
Regression diagnostics are geared toward identifying individual points or groups of points that have an important influence on a fitted model. When fitting a model with survey data, the sources of influence are the response variable Y, the predictor variables X, and the survey weights, W. This article discusses the use of the hat matrix and leverages to identify points that may be influential in fitting linear models due to large weights or values of predictors. We also contrast findings that an analyst will obtain if ordinary least squares is used rather than survey weighted least squares to determine which points are influential.
Release date: 2009-06-22 - 17. Stratified balanced sampling ArchivedArticles and reports: 12-001-X200900110888Description:
In the selection of a sample, a current practice is to define a sampling design stratified on subpopulations. This reduces the variance of the Horvitz-Thompson estimator in comparison with direct sampling if the strata are highly homogeneous with respect to the variable of interest. If auxiliary variables are available for each individual, sampling can be improved through balanced sampling within each stratum, and the Horvitz-Thompson estimator will be more precise if the auxiliary variables are strongly correlated with the variable of interest. However, if the sample allocation is small in some strata, balanced sampling will be only very approximate. In this paper, we propose a method of selecting a sample that is balanced across the entire population while maintaining a fixed allocation within each stratum. We show that in the important special case of size-2 sampling in each stratum, the precision of the Horvitz-Thompson estimator is improved if the variable of interest is well explained by balancing variables over the entire population. An application to rotational sampling is also presented.
Release date: 2009-06-22
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