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- 1. International surveys: Motives and methodologies ArchivedArticles and reports: 12-001-X200800210754Description:
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: 2008-12-23 - 2. Measuring health in population surveys ArchivedArticles and reports: 11-522-X200600110370Description:
Many countries conduct surveys that focus specifically on their population's health. Because health plays a key role in most aspects of life, health data are also often collected in population surveys on other topics. The subject matter of population health surveys broadly encompasses physical and mental heath, dental health, disabilities, substance abuse, health risk factors, nutrition, health promotion, health care utilization and quality, health coverage, and costs. Some surveys focus on specific health conditions, whereas others aim to obtain an overall health assessment. Health is often an important component in longitudinal studies, particularly in birth and aging cohorts. Information about health can be collected by respondents' reports (for themselves and sometimes for others), by medical examinations, and by collecting biological measures. There is a serious concern about the accuracy of health information collected by respondents' reports. Logistical issues, cost considerations, and respondent cooperation feature prominently when the information is collected by medical examinations. Ethical and privacy issues are often important, particularly when DNA and biomarkers are involved. International comparability of health measures is of growing importance. This paper reviews the methodology for a range of health surveys and will discuss the challenges in obtaining accurate data in this field.
Release date: 2008-03-17 - 3. Estimation of the coverage of the 2000 census of population in Switzerland: Methods and results ArchivedArticles and reports: 12-001-X200700210497Description:
Coverage deficiencies are estimated and analysed for the 2000 population census in Switzerland. For the undercoverage component, the estimation is based on a sample independent of the census and a match with the census. For the overcoverage component, the estimation is based on a sample drawn from the census list and a match with the rest of the census. The over- and undercoverage components are then combined to obtain an estimate of the resulting net coverage. This estimate is based on a capture-recapture model, named the dual system, combined with a synthetic model. The estimators are calculated for the full population and different subgroups, with a variance estimated by a stratified jackknife. The coverage analyses are supplemented by a study of matches between the independent sample and the census in order to determine potential errors of measurement and location in the census data.
Release date: 2008-01-03
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- 1. International surveys: Motives and methodologies ArchivedArticles and reports: 12-001-X200800210754Description:
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: 2008-12-23 - 2. Measuring health in population surveys ArchivedArticles and reports: 11-522-X200600110370Description:
Many countries conduct surveys that focus specifically on their population's health. Because health plays a key role in most aspects of life, health data are also often collected in population surveys on other topics. The subject matter of population health surveys broadly encompasses physical and mental heath, dental health, disabilities, substance abuse, health risk factors, nutrition, health promotion, health care utilization and quality, health coverage, and costs. Some surveys focus on specific health conditions, whereas others aim to obtain an overall health assessment. Health is often an important component in longitudinal studies, particularly in birth and aging cohorts. Information about health can be collected by respondents' reports (for themselves and sometimes for others), by medical examinations, and by collecting biological measures. There is a serious concern about the accuracy of health information collected by respondents' reports. Logistical issues, cost considerations, and respondent cooperation feature prominently when the information is collected by medical examinations. Ethical and privacy issues are often important, particularly when DNA and biomarkers are involved. International comparability of health measures is of growing importance. This paper reviews the methodology for a range of health surveys and will discuss the challenges in obtaining accurate data in this field.
Release date: 2008-03-17 - 3. Estimation of the coverage of the 2000 census of population in Switzerland: Methods and results ArchivedArticles and reports: 12-001-X200700210497Description:
Coverage deficiencies are estimated and analysed for the 2000 population census in Switzerland. For the undercoverage component, the estimation is based on a sample independent of the census and a match with the census. For the overcoverage component, the estimation is based on a sample drawn from the census list and a match with the rest of the census. The over- and undercoverage components are then combined to obtain an estimate of the resulting net coverage. This estimate is based on a capture-recapture model, named the dual system, combined with a synthetic model. The estimators are calculated for the full population and different subgroups, with a variance estimated by a stratified jackknife. The coverage analyses are supplemented by a study of matches between the independent sample and the census in order to determine potential errors of measurement and location in the census data.
Release date: 2008-01-03
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