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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 - Articles and reports: 12-001-X200800210761Description:
Optimum stratification is the method of choosing the best boundaries that make strata internally homogeneous, given some sample allocation. In order to make the strata internally homogenous, the strata should be constructed in such a way that the strata variances for the characteristic under study be as small as possible. This could be achieved effectively by having the distribution of the main study variable known and create strata by cutting the range of the distribution at suitable points. If the frequency distribution of the study variable is unknown, it may be approximated from the past experience or some prior knowledge obtained at a recent study. In this paper the problem of finding Optimum Strata Boundaries (OSB) is considered as the problem of determining Optimum Strata Widths (OSW). The problem is formulated as a Mathematical Programming Problem (MPP), which minimizes the variance of the estimated population parameter under Neyman allocation subject to the restriction that sum of the widths of all the strata is equal to the total range of the distribution. The distributions of the study variable are considered as continuous with Triangular and Standard Normal density functions. The formulated MPPs, which turn out to be multistage decision problems, can then be solved using dynamic programming technique proposed by Bühler and Deutler (1975). Numerical examples are presented to illustrate the computational details. The results obtained are also compared with the method of Dalenius and Hodges (1959) with an example of normal distribution.
Release date: 2008-12-23 - Articles and reports: 12-001-X200800210764Description:
This paper considers situations where the target response value is either zero or an observation from a continuous distribution. A typical example analyzed in the paper is the assessment of literacy proficiency with the possible outcome being either zero, indicating illiteracy, or a positive score measuring the level of literacy. Our interest is in how to obtain valid estimates of the average response, or the proportion of positive responses in small areas, for which only small samples or no samples are available. As in other small area estimation problems, the small sample sizes in at least some of the sampled areas and/or the existence of nonsampled areas requires the use of model based methods. Available methods, however, are not suitable for this kind of data because of the mixed distribution of the responses, having a large peak at zero, juxtaposed to a continuous distribution for the rest of the responses. We develop, therefore, a suitable two-part random effects model and show how to fit the model and assess its goodness of fit, and how to compute the small area estimators of interest and measure their precision. The proposed method is illustrated using simulated data and data obtained from a literacy survey conducted in Cambodia.
Release date: 2008-12-23 - 4. In this issue (Vol. 34, no. 2) ArchivedArticles and reports: 12-001-X200800210768Description:
In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.
Release date: 2008-12-23 - Articles and reports: 11F0019M2008317Geography: CanadaDescription:
This study estimates the effect of an additional year of schooling (Grade 10) on academic performance, with the particular aim of understanding the role of schooling in shaping the gender and income divides in academic performance. To identify the returns to schooling, the study takes advantage of a setting whereby standardized tests were administered to large samples of students of very close age, but who were in different school grades as a result of school-entry laws, thus creating a sharp discontinuity in school grades. The findings suggest that one additional year of high school (Grade 10) is associated with a large improvement in overall reading and mathematics performance, and that it had a smaller improvement in science performance. However, the improvements are not equally distributed: mathematics scores improve more for boys than for girls, and reading and science scores improve more for lower than for higher income youth. Most importantly, we find no evidence that girls or higher income youth benefit more from an additional year of high school in any test area. These findings suggest that the key to understanding the weaker academic performance of boys and lower income youth may lie in earlier school years, the home or at birth.
Release date: 2008-11-07 - Articles and reports: 82-003-X200800410704Geography: CanadaDescription:
A 24-hour dietary recall from 16,190 respondents aged 12 or older to the Canadian Community Health Survey - Nutrition was used to determine energy and nutrient intake. To identify plausible respondents, a confidence interval was applied to total energy expenditure derived from equations developed by the Institute of Medicine. Estimates of energy and nutrient intake for plausible respondents were compared with estimates for all respondents.
Release date: 2008-10-15 - 7. The feasibility of establishing correction factors to adjust self-reported estimates of obesity ArchivedArticles and reports: 82-003-X200800310680Geography: CanadaDescription:
This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.
Release date: 2008-09-17 - Articles and reports: 82-003-X200800310681Geography: CanadaDescription:
This article describes the methods used to link census data from the long-form questionnaire to mortality data, and reports simple findings for the major groups, defined by income, education, occupation, language and ethnicity, Aboriginal or visible minority status, and disability status.
Release date: 2008-09-17 - Surveys and statistical programs – Documentation: 75-512-XDescription:
This book provides technical documentation of variables, methodologies and extended lists of references used in developing the research findings reported in "New Frontiers of Research on Retirement". It will be used around the world by researchers and teachers, as well as by students preparing theses related to patterns of transition to retirement. This documentation is important because a large part of book is devoted to scientific papers that are based upon Statistics Canada's data and which require substantial innovations of useful concepts and data.
Release date: 2008-09-08 - Articles and reports: 75F0002M2008004Description:
Low income cut-offs (LICOs) are income thresholds, determined by analysing family expenditure data, below which families will devote a larger share of income to the necessities of food, shelter and clothing than the average family would. To reflect differences in the costs of necessities among different community and family sizes, LICOs are defined for five categories of community size and seven of family size.
Low income Measures (LIMs), on the other hand, are strictly relative measures of low income, set at 50% of adjusted median family income. These measures are categorized according to the number of adults and children present in families, reflecting the economies of scale inherent in family size and composition. This publication incorporates a detailed description of the methods used to arrive at both measurements. It also explains how base years are defined and how LICOs are updated using the Consumer Price Index.
Release date: 2008-06-04
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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 - Articles and reports: 12-001-X200800210761Description:
Optimum stratification is the method of choosing the best boundaries that make strata internally homogeneous, given some sample allocation. In order to make the strata internally homogenous, the strata should be constructed in such a way that the strata variances for the characteristic under study be as small as possible. This could be achieved effectively by having the distribution of the main study variable known and create strata by cutting the range of the distribution at suitable points. If the frequency distribution of the study variable is unknown, it may be approximated from the past experience or some prior knowledge obtained at a recent study. In this paper the problem of finding Optimum Strata Boundaries (OSB) is considered as the problem of determining Optimum Strata Widths (OSW). The problem is formulated as a Mathematical Programming Problem (MPP), which minimizes the variance of the estimated population parameter under Neyman allocation subject to the restriction that sum of the widths of all the strata is equal to the total range of the distribution. The distributions of the study variable are considered as continuous with Triangular and Standard Normal density functions. The formulated MPPs, which turn out to be multistage decision problems, can then be solved using dynamic programming technique proposed by Bühler and Deutler (1975). Numerical examples are presented to illustrate the computational details. The results obtained are also compared with the method of Dalenius and Hodges (1959) with an example of normal distribution.
Release date: 2008-12-23 - Articles and reports: 12-001-X200800210764Description:
This paper considers situations where the target response value is either zero or an observation from a continuous distribution. A typical example analyzed in the paper is the assessment of literacy proficiency with the possible outcome being either zero, indicating illiteracy, or a positive score measuring the level of literacy. Our interest is in how to obtain valid estimates of the average response, or the proportion of positive responses in small areas, for which only small samples or no samples are available. As in other small area estimation problems, the small sample sizes in at least some of the sampled areas and/or the existence of nonsampled areas requires the use of model based methods. Available methods, however, are not suitable for this kind of data because of the mixed distribution of the responses, having a large peak at zero, juxtaposed to a continuous distribution for the rest of the responses. We develop, therefore, a suitable two-part random effects model and show how to fit the model and assess its goodness of fit, and how to compute the small area estimators of interest and measure their precision. The proposed method is illustrated using simulated data and data obtained from a literacy survey conducted in Cambodia.
Release date: 2008-12-23 - 4. In this issue (Vol. 34, no. 2) ArchivedArticles and reports: 12-001-X200800210768Description:
In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.
Release date: 2008-12-23 - Articles and reports: 11F0019M2008317Geography: CanadaDescription:
This study estimates the effect of an additional year of schooling (Grade 10) on academic performance, with the particular aim of understanding the role of schooling in shaping the gender and income divides in academic performance. To identify the returns to schooling, the study takes advantage of a setting whereby standardized tests were administered to large samples of students of very close age, but who were in different school grades as a result of school-entry laws, thus creating a sharp discontinuity in school grades. The findings suggest that one additional year of high school (Grade 10) is associated with a large improvement in overall reading and mathematics performance, and that it had a smaller improvement in science performance. However, the improvements are not equally distributed: mathematics scores improve more for boys than for girls, and reading and science scores improve more for lower than for higher income youth. Most importantly, we find no evidence that girls or higher income youth benefit more from an additional year of high school in any test area. These findings suggest that the key to understanding the weaker academic performance of boys and lower income youth may lie in earlier school years, the home or at birth.
Release date: 2008-11-07 - Articles and reports: 82-003-X200800410704Geography: CanadaDescription:
A 24-hour dietary recall from 16,190 respondents aged 12 or older to the Canadian Community Health Survey - Nutrition was used to determine energy and nutrient intake. To identify plausible respondents, a confidence interval was applied to total energy expenditure derived from equations developed by the Institute of Medicine. Estimates of energy and nutrient intake for plausible respondents were compared with estimates for all respondents.
Release date: 2008-10-15 - 7. The feasibility of establishing correction factors to adjust self-reported estimates of obesity ArchivedArticles and reports: 82-003-X200800310680Geography: CanadaDescription:
This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.
Release date: 2008-09-17 - Articles and reports: 82-003-X200800310681Geography: CanadaDescription:
This article describes the methods used to link census data from the long-form questionnaire to mortality data, and reports simple findings for the major groups, defined by income, education, occupation, language and ethnicity, Aboriginal or visible minority status, and disability status.
Release date: 2008-09-17 - Articles and reports: 75F0002M2008004Description:
Low income cut-offs (LICOs) are income thresholds, determined by analysing family expenditure data, below which families will devote a larger share of income to the necessities of food, shelter and clothing than the average family would. To reflect differences in the costs of necessities among different community and family sizes, LICOs are defined for five categories of community size and seven of family size.
Low income Measures (LIMs), on the other hand, are strictly relative measures of low income, set at 50% of adjusted median family income. These measures are categorized according to the number of adults and children present in families, reflecting the economies of scale inherent in family size and composition. This publication incorporates a detailed description of the methods used to arrive at both measurements. It also explains how base years are defined and how LICOs are updated using the Consumer Price Index.
Release date: 2008-06-04
Reference (1)
Reference (1) ((1 result))
- Surveys and statistical programs – Documentation: 75-512-XDescription:
This book provides technical documentation of variables, methodologies and extended lists of references used in developing the research findings reported in "New Frontiers of Research on Retirement". It will be used around the world by researchers and teachers, as well as by students preparing theses related to patterns of transition to retirement. This documentation is important because a large part of book is devoted to scientific papers that are based upon Statistics Canada's data and which require substantial innovations of useful concepts and data.
Release date: 2008-09-08
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