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- Articles and reports: 11-522-X20010016228Description:
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 - Articles and reports: 11-522-X20010016245Description:
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 - Articles and reports: 11-522-X20010016270Description:
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.
Following the last three censuses in Britain, survey non-response on major government household surveys has been investigated by linking addresses sampled for surveys taking place around the time of the census to individual census records for the same addresses. This paper outlines the design of the 2001 British Census-linked Study of Survey Nonresponse. The study involves 10 surveys that vary significantly in design and response rates. The key feature of the study is the extensive use of auxiliary data and multilevel modelling to identify interviewer, household and area level effects.
Release date: 2002-09-12 - 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-X20010016273Description:
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.
For a multivariate survey based on simple random sampling, the problem of calculating an optimal sampling size becomes one of solving a stochastic programming problem in which each constraint corresponds to a bounded estimate of the variance for a commodity. The problem is stochastic because the set of data collected from a previous survey makes the components of each constraint random variables; consequently, the calculated size of a sample is itself a random variable and is dependent on the quality of that set of data. By means of a Monte Carlo technique, an empirical probability distribution of the optimal sampling size can be produced for finding the probability of the event that the prescribed precision will be achieved. Corresponding to each set of previously collected data, there is an optimal size and allocation across strata. While reviewing these over several consecutive periods of time, it may be possible to identify troublesome strata and to see a trend in the stability of the data. The review may reveal an oscillatory pattern in the sizes of the samples that might have evolved over time due to the dependency of one allocation on another.
Release date: 2002-09-12 - 6. 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-X20010016281Description:
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.
Methodology for estimating the sampling error of the non-seasonally adjusted estimate of level of the Index of Production (IoP) has previously been developed using Taylor linearization and parametric bootstrap methods, with both producing comparable results. From the study, it was considered that the parametric bootstrap approach would be more practical to implement. This paper describes the methodology that is being developed to estimate the sampling error of the non-seasonally adjusted IoP change using the parametric bootstrap method, along with the data that are needed from the contributing surveys, the assumptions made, and the practical problems encountered during development.
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-X20010016309Description:
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 estimating simple and correlated measurement variance components when a re-interview is available for a subsample of respondents. However, the two measurements cannot be considered as being collected under the same conditions and, therefore, are subject to different measurement error variance. This consideration seems more realistic when, in actuality, it is impossible to ensure that the same measurement conditions are implemented in the two interviews, as in the case when operational and budget constraints suggest adopting a different survey mode for the second interview.
Release date: 2002-09-12 - 10. 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
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Articles and reports (10)
Articles and reports (10) ((10 results))
- Articles and reports: 11-522-X20010016228Description:
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 - Articles and reports: 11-522-X20010016245Description:
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 - Articles and reports: 11-522-X20010016270Description:
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.
Following the last three censuses in Britain, survey non-response on major government household surveys has been investigated by linking addresses sampled for surveys taking place around the time of the census to individual census records for the same addresses. This paper outlines the design of the 2001 British Census-linked Study of Survey Nonresponse. The study involves 10 surveys that vary significantly in design and response rates. The key feature of the study is the extensive use of auxiliary data and multilevel modelling to identify interviewer, household and area level effects.
Release date: 2002-09-12 - 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-X20010016273Description:
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.
For a multivariate survey based on simple random sampling, the problem of calculating an optimal sampling size becomes one of solving a stochastic programming problem in which each constraint corresponds to a bounded estimate of the variance for a commodity. The problem is stochastic because the set of data collected from a previous survey makes the components of each constraint random variables; consequently, the calculated size of a sample is itself a random variable and is dependent on the quality of that set of data. By means of a Monte Carlo technique, an empirical probability distribution of the optimal sampling size can be produced for finding the probability of the event that the prescribed precision will be achieved. Corresponding to each set of previously collected data, there is an optimal size and allocation across strata. While reviewing these over several consecutive periods of time, it may be possible to identify troublesome strata and to see a trend in the stability of the data. The review may reveal an oscillatory pattern in the sizes of the samples that might have evolved over time due to the dependency of one allocation on another.
Release date: 2002-09-12 - 6. 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-X20010016281Description:
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.
Methodology for estimating the sampling error of the non-seasonally adjusted estimate of level of the Index of Production (IoP) has previously been developed using Taylor linearization and parametric bootstrap methods, with both producing comparable results. From the study, it was considered that the parametric bootstrap approach would be more practical to implement. This paper describes the methodology that is being developed to estimate the sampling error of the non-seasonally adjusted IoP change using the parametric bootstrap method, along with the data that are needed from the contributing surveys, the assumptions made, and the practical problems encountered during development.
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-X20010016309Description:
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 estimating simple and correlated measurement variance components when a re-interview is available for a subsample of respondents. However, the two measurements cannot be considered as being collected under the same conditions and, therefore, are subject to different measurement error variance. This consideration seems more realistic when, in actuality, it is impossible to ensure that the same measurement conditions are implemented in the two interviews, as in the case when operational and budget constraints suggest adopting a different survey mode for the second interview.
Release date: 2002-09-12 - 10. 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
Journals and periodicals (0)
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