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- Articles and reports: 12-001-X200900211036Description:
Surveys are frequently required to produce estimates for subpopulations, sometimes for a single subpopulation and sometimes for several subpopulations in addition to the total population. When membership of a rare subpopulation (or domain) can be determined from the sampling frame, selecting the required domain sample size is relatively straightforward. In this case the main issue is the extent of oversampling to employ when survey estimates are required for several domains and for the total population. Sampling and oversampling rare domains whose members cannot be identified in advance present a major challenge. A variety of methods has been used in this situation. In addition to large-scale screening, these methods include disproportionate stratified sampling, two-phase sampling, the use of multiple frames, multiplicity sampling, panel surveys, and the use of multi-purpose surveys. This paper illustrates the application of these methods in a range of social surveys.
Release date: 2009-12-23 - 2. Nonparametric propensity weighting for survey nonresponse through local polynomial regression ArchivedArticles and reports: 12-001-X200900211039Description:
Propensity weighting is a procedure to adjust for unit nonresponse in surveys. A form of implementing this procedure consists of dividing the sampling weights by estimates of the probabilities that the sampled units respond to the survey. Typically, these estimates are obtained by fitting parametric models, such as logistic regression. The resulting adjusted estimators may become biased when the specified parametric models are incorrect. To avoid misspecifying such a model, we consider nonparametric estimation of the response probabilities by local polynomial regression. We study the asymptotic properties of the resulting estimator under quasi-randomization. The practical behavior of the proposed nonresponse adjustment approach is evaluated on NHANES data.
Release date: 2009-12-23 - Articles and reports: 12-001-X200900211040Description:
In this paper a multivariate structural time series model is described that accounts for the panel design of the Dutch Labour Force Survey and is applied to estimate monthly unemployment rates. Compared to the generalized regression estimator, this approach results in a substantial increase of the accuracy due to a reduction of the standard error and the explicit modelling of the bias between the subsequent waves.
Release date: 2009-12-23 - 4. Opening remarks of the Symposium 2008: Data Collection: Challenges, Achievements and New Directions ArchivedArticles and reports: 11-522-X200800010920Description:
On behalf of Statistics Canada, I would like to welcome you all, friends and colleagues, to Symposium 2008. This the 24th International Symposium organized by Statistics Canada on survey methodology.
Release date: 2009-12-03 - 5. International surveys: Motives and methodologies ArchivedArticles and reports: 11-522-X200800010937Description:
The context of the discussion is the increasing incidence of international surveys, of which one is the International Tobacco Control (ITC) Policy Evaluation Project, which began in 2002. The ITC country surveys are longitudinal, and their aim is to evaluate the effects of policy measures being introduced in various countries under the WHO Framework Convention on Tobacco Control. The challenges of organization, data collection and analysis in international surveys are reviewed and illustrated. Analysis is an increasingly important part of the motivation for large scale cross-cultural surveys. The fundamental challenge for analysis is to discern the real response (or lack of response) to policy change, separating it from the effects of data collection mode, differential non-response, external events, time-in-sample, culture, and language. Two problems relevant to statistical analysis are discussed. The first problem is the question of when and how to analyze pooled data from several countries, in order to strengthen conclusions which might be generally valid. While in some cases this seems to be straightforward, there are differing opinions on the extent to which pooling is possible and reasonable. It is suggested that for formal comparisons, random effects models are of conceptual use. The second problem is to find models of measurement across cultures and data collection modes which will enable calibration of continuous, binary and ordinal responses, and produce comparisons from which extraneous effects have been removed. It is noted that hierarchical models provide a natural way of relaxing requirements of model invariance across groups.
Release date: 2009-12-03 - 6. Organisation of data collection methodology services in the Australian Bureau of Statistics ArchivedArticles and reports: 11-522-X200800010940Description:
Data Collection Methodology (DCM) enable the collection of good quality data by providing expert advice and assistance on questionnaire design, methods of evaluation and respondent engagement. DCM assist in the development of client skills, undertake research and lead innovation in data collection methods. This is done in a challenging environment of organisational change and limited resources. This paper will cover 'how DCM do business' with clients and the wider methodological community to achieve our goals.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010946Description:
In the mid 1990s the first question testing unit was set-up in the UK Office for National Statistics (ONS). The key objective of the unit was to develop and test the questions and questionnaire for the 2001 Census. Since the establishment of this unit the area has been expanded into a Data Collection Methodology (DCM) Centre of Expertise which now sits in the Methodology Directorate. The DCM centre has three branches which support DCM work for social surveys, business surveys, the Census and external organisations.
In the past ten years DCM has achieved a variety of things. For example, introduced survey methodology involvement in the development and testing of business survey question(naire)s; introduced a mix-method approach to the development of questions and questionnaires; developed and implemented standards e.g. for the 2011 census questionnaire & showcards; and developed and delivered DCM training events.
This paper will provide an overview of data collection methodology at the ONS from the perspective of achievements and challenges. It will cover areas such as methods, staff (e.g. recruitment, development and field security), and integration with the survey process.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010948Description:
Past survey instruments, whether in the form of a paper questionnaire or telephone script, were their own documentation. Based on this, the ESRC Question Bank was created, providing free-access internet publication of questionnaires, enabling researchers to re-use questions, saving them trouble, whilst improving the comparability of their data with that collected by others. Today however, as survey technology and computer programs have become more sophisticated, accurate comprehension of the latest questionnaires seems more difficult, particularly when each survey team uses its own conventions to document complex items in technical reports. This paper seeks to illustrate these problems and suggest preliminary standards of presentation to be used until the process can be automated.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010949Description:
The expansion in scope of UK equality legislation has led to a requirement for data on sexual orientation. In response, the Office for National Statistics has initiated a project aiming to provide advice on best practice with regard to data collection in this field, and to examine the feasibility of providing data that will satisfy user needs. The project contains qualitative and quantitative research methodologies in relation to question development and survey operational issues. This includes:A review of UK and international surveys already collecting data on sexual orientation/identityA series of focus groups exploring conceptual issues surrounding "sexual identity" including related terms and the acceptability of questioning on multi-purpose household surveysA series of quantitative trials with particular attention to item non-response; question administration; and data collectionCognitively testing to ensure questioning was interpreted as intended.Quantitative research on potential bias issues in relation to proxy responsesFuture analysis and reporting issues are being considered alongside question development e.g. accurately capturing statistics on populations with low prevalence
The presentation also discusses the practical survey administration issues relating to ensuring privacy in a concurrent interview situation, both face to face and over the telephone
Release date: 2009-12-03 - 10. Testing for the 2011 Census of Canada ArchivedArticles and reports: 11-522-X200800010950Description:
The next census will be conducted in May 2011. Being a major survey, it presents a formidable challenge for Statistics Canada and requires a great deal of time and resources. Careful planning has been done to ensure that all deadlines are met. A number of steps have been planned in the questionnaire testing process. These tests apply to both census content and the proposed communications strategy. This paper presents an overview of the strategy, with a focus on combining qualitative studies with the 2008 quantitative study so that the results can be analyzed and the proposals properly evaluated.
Release date: 2009-12-03
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Analysis (26)
Analysis (26) (0 to 10 of 26 results)
- Articles and reports: 12-001-X200900211036Description:
Surveys are frequently required to produce estimates for subpopulations, sometimes for a single subpopulation and sometimes for several subpopulations in addition to the total population. When membership of a rare subpopulation (or domain) can be determined from the sampling frame, selecting the required domain sample size is relatively straightforward. In this case the main issue is the extent of oversampling to employ when survey estimates are required for several domains and for the total population. Sampling and oversampling rare domains whose members cannot be identified in advance present a major challenge. A variety of methods has been used in this situation. In addition to large-scale screening, these methods include disproportionate stratified sampling, two-phase sampling, the use of multiple frames, multiplicity sampling, panel surveys, and the use of multi-purpose surveys. This paper illustrates the application of these methods in a range of social surveys.
Release date: 2009-12-23 - 2. Nonparametric propensity weighting for survey nonresponse through local polynomial regression ArchivedArticles and reports: 12-001-X200900211039Description:
Propensity weighting is a procedure to adjust for unit nonresponse in surveys. A form of implementing this procedure consists of dividing the sampling weights by estimates of the probabilities that the sampled units respond to the survey. Typically, these estimates are obtained by fitting parametric models, such as logistic regression. The resulting adjusted estimators may become biased when the specified parametric models are incorrect. To avoid misspecifying such a model, we consider nonparametric estimation of the response probabilities by local polynomial regression. We study the asymptotic properties of the resulting estimator under quasi-randomization. The practical behavior of the proposed nonresponse adjustment approach is evaluated on NHANES data.
Release date: 2009-12-23 - Articles and reports: 12-001-X200900211040Description:
In this paper a multivariate structural time series model is described that accounts for the panel design of the Dutch Labour Force Survey and is applied to estimate monthly unemployment rates. Compared to the generalized regression estimator, this approach results in a substantial increase of the accuracy due to a reduction of the standard error and the explicit modelling of the bias between the subsequent waves.
Release date: 2009-12-23 - 4. Opening remarks of the Symposium 2008: Data Collection: Challenges, Achievements and New Directions ArchivedArticles and reports: 11-522-X200800010920Description:
On behalf of Statistics Canada, I would like to welcome you all, friends and colleagues, to Symposium 2008. This the 24th International Symposium organized by Statistics Canada on survey methodology.
Release date: 2009-12-03 - 5. International surveys: Motives and methodologies ArchivedArticles and reports: 11-522-X200800010937Description:
The context of the discussion is the increasing incidence of international surveys, of which one is the International Tobacco Control (ITC) Policy Evaluation Project, which began in 2002. The ITC country surveys are longitudinal, and their aim is to evaluate the effects of policy measures being introduced in various countries under the WHO Framework Convention on Tobacco Control. The challenges of organization, data collection and analysis in international surveys are reviewed and illustrated. Analysis is an increasingly important part of the motivation for large scale cross-cultural surveys. The fundamental challenge for analysis is to discern the real response (or lack of response) to policy change, separating it from the effects of data collection mode, differential non-response, external events, time-in-sample, culture, and language. Two problems relevant to statistical analysis are discussed. The first problem is the question of when and how to analyze pooled data from several countries, in order to strengthen conclusions which might be generally valid. While in some cases this seems to be straightforward, there are differing opinions on the extent to which pooling is possible and reasonable. It is suggested that for formal comparisons, random effects models are of conceptual use. The second problem is to find models of measurement across cultures and data collection modes which will enable calibration of continuous, binary and ordinal responses, and produce comparisons from which extraneous effects have been removed. It is noted that hierarchical models provide a natural way of relaxing requirements of model invariance across groups.
Release date: 2009-12-03 - 6. Organisation of data collection methodology services in the Australian Bureau of Statistics ArchivedArticles and reports: 11-522-X200800010940Description:
Data Collection Methodology (DCM) enable the collection of good quality data by providing expert advice and assistance on questionnaire design, methods of evaluation and respondent engagement. DCM assist in the development of client skills, undertake research and lead innovation in data collection methods. This is done in a challenging environment of organisational change and limited resources. This paper will cover 'how DCM do business' with clients and the wider methodological community to achieve our goals.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010946Description:
In the mid 1990s the first question testing unit was set-up in the UK Office for National Statistics (ONS). The key objective of the unit was to develop and test the questions and questionnaire for the 2001 Census. Since the establishment of this unit the area has been expanded into a Data Collection Methodology (DCM) Centre of Expertise which now sits in the Methodology Directorate. The DCM centre has three branches which support DCM work for social surveys, business surveys, the Census and external organisations.
In the past ten years DCM has achieved a variety of things. For example, introduced survey methodology involvement in the development and testing of business survey question(naire)s; introduced a mix-method approach to the development of questions and questionnaires; developed and implemented standards e.g. for the 2011 census questionnaire & showcards; and developed and delivered DCM training events.
This paper will provide an overview of data collection methodology at the ONS from the perspective of achievements and challenges. It will cover areas such as methods, staff (e.g. recruitment, development and field security), and integration with the survey process.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010948Description:
Past survey instruments, whether in the form of a paper questionnaire or telephone script, were their own documentation. Based on this, the ESRC Question Bank was created, providing free-access internet publication of questionnaires, enabling researchers to re-use questions, saving them trouble, whilst improving the comparability of their data with that collected by others. Today however, as survey technology and computer programs have become more sophisticated, accurate comprehension of the latest questionnaires seems more difficult, particularly when each survey team uses its own conventions to document complex items in technical reports. This paper seeks to illustrate these problems and suggest preliminary standards of presentation to be used until the process can be automated.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010949Description:
The expansion in scope of UK equality legislation has led to a requirement for data on sexual orientation. In response, the Office for National Statistics has initiated a project aiming to provide advice on best practice with regard to data collection in this field, and to examine the feasibility of providing data that will satisfy user needs. The project contains qualitative and quantitative research methodologies in relation to question development and survey operational issues. This includes:A review of UK and international surveys already collecting data on sexual orientation/identityA series of focus groups exploring conceptual issues surrounding "sexual identity" including related terms and the acceptability of questioning on multi-purpose household surveysA series of quantitative trials with particular attention to item non-response; question administration; and data collectionCognitively testing to ensure questioning was interpreted as intended.Quantitative research on potential bias issues in relation to proxy responsesFuture analysis and reporting issues are being considered alongside question development e.g. accurately capturing statistics on populations with low prevalence
The presentation also discusses the practical survey administration issues relating to ensuring privacy in a concurrent interview situation, both face to face and over the telephone
Release date: 2009-12-03 - 10. Testing for the 2011 Census of Canada ArchivedArticles and reports: 11-522-X200800010950Description:
The next census will be conducted in May 2011. Being a major survey, it presents a formidable challenge for Statistics Canada and requires a great deal of time and resources. Careful planning has been done to ensure that all deadlines are met. A number of steps have been planned in the questionnaire testing process. These tests apply to both census content and the proposed communications strategy. This paper presents an overview of the strategy, with a focus on combining qualitative studies with the 2008 quantitative study so that the results can be analyzed and the proposals properly evaluated.
Release date: 2009-12-03
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