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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. 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 - Surveys and statistical programs – Documentation: 89-634-X2008006Description:
This guide is intended to help data users understand the concepts and methods used in the 2006 Aboriginal Children's Survey (ACS), which was conducted from October 2006 to March 2007.
Technical details on sampling, processing and data quality are included in this guide. Further, the guide explains the relationship between the ACS and the 2006 Census and cautions users as to important differences in the data produced from these two sources. Appendix 1 contains a glossary of terms that relate to the ACS. Answers to some frequently asked questions are provided in Appendix 2. Links to the 2006 ACS questionnaires are found in Appendix 3.
Release date: 2008-11-18 - Articles and reports: 82-003-X200800410703Geography: CanadaDescription:
Data from 16,190 respondents to the 2004 Canadian Community Health Survey - Nutrition were used to estimate under-reporting of food intake for the population aged 12 or older in the 10 provinces.
Release date: 2008-10-15 - 5. Workplace and Employee Survey Compendium ArchivedTable: 71-585-XDescription:
This compendium provides data from the new Workplace and Employee Survey (WES) conducted by Statistics Canada with the support of Human Resources Development Canada. The survey consists of two components: (1) a workplace survey on the adoption of technologies, organizational change, training and other human resource practices, business strategies, and labour turnover in workplaces; and (2) a survey of employees within these same workplaces covering wages, hours of work, job type, human capital, use of technologies and training. The result is a rich new source of linked information on workplaces and their employees.
Release date: 2008-09-24 - Articles and reports: 82-003-X200800210569Geography: CanadaDescription:
Based on a representative sample of the Canadian population, this article quantifies the bias resulting from the use of self-reported rather than directly measured height, weight and body mass index. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey, who provided self-reported values for height and weight and were then measured.
Release date: 2008-05-14 - 7. 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 - Articles and reports: 11-522-X200600110411Description:
The Canadian Community Health Survey consists of two cross-sectional surveys conducted on an alternating annual cycle. Both surveys collect general health information, while the second smaller survey collects additional information on survey specific health issues. Even with the large sample sizes, users are interested in combining the cycles of the CCHS to improve the quality of the estimates, create estimates for small geographical domains, or to estimate for rare characteristics or populations. This paper will focus on some of the issues related to combining cycles of the CCHS including some possible interpretations of the combined result. Possible methods to combine cycles will also be outlined.
Release date: 2008-03-17 - 9. Exploring the impact of mode on key health estimates in the National Health Interview Survey ArchivedArticles and reports: 11-522-X200600110421Description:
In an effort to increase response rates and decrease costs, many survey operations have begun to use several modes to collect relevant data. While the National Health Interview Survey (NHIS), a multipurpose household health survey conducted annually by the National Center for Health Statistics, Centers for Disease Control and Prevention, is primarily a face-to-face survey, interviewers also rely on the telephone to complete some interviews. This has raised questions about the quality of resulting data. To address these questions, data from the 2005 NHIS are used to analyze the impact of mode on eight key health indicators.
Release date: 2008-03-17 - 10. Accounting for a significant methodological change in analyzing Canadian Community Health Survey data ArchivedArticles and reports: 11-522-X200600110423Description:
Statistics Canada's Canadian Community Health Survey uses two sample frames and two data collection methods. In cycle 2.1, a change was made in sample allocation between the two frames. A study of the collection method effect by Statistics Canada revealed comparability problems between cycles 1.1 and 2.1. In contrast, the Institut de la statistique du Québec took a comprehensive look at the changes, and classified 178 variables as "comparable" or 'non-comparable". It made recommendations to Quebec users concerning chronological and interregional comparisons.
Release date: 2008-03-17
Data (1)
Data (1) ((1 result))
- 1. Workplace and Employee Survey Compendium ArchivedTable: 71-585-XDescription:
This compendium provides data from the new Workplace and Employee Survey (WES) conducted by Statistics Canada with the support of Human Resources Development Canada. The survey consists of two components: (1) a workplace survey on the adoption of technologies, organizational change, training and other human resource practices, business strategies, and labour turnover in workplaces; and (2) a survey of employees within these same workplaces covering wages, hours of work, job type, human capital, use of technologies and training. The result is a rich new source of linked information on workplaces and their employees.
Release date: 2008-09-24
Analysis (11)
Analysis (11) (0 to 10 of 11 results)
- 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. 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: 82-003-X200800410703Geography: CanadaDescription:
Data from 16,190 respondents to the 2004 Canadian Community Health Survey - Nutrition were used to estimate under-reporting of food intake for the population aged 12 or older in the 10 provinces.
Release date: 2008-10-15 - Articles and reports: 82-003-X200800210569Geography: CanadaDescription:
Based on a representative sample of the Canadian population, this article quantifies the bias resulting from the use of self-reported rather than directly measured height, weight and body mass index. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey, who provided self-reported values for height and weight and were then measured.
Release date: 2008-05-14 - 5. 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 - Articles and reports: 11-522-X200600110411Description:
The Canadian Community Health Survey consists of two cross-sectional surveys conducted on an alternating annual cycle. Both surveys collect general health information, while the second smaller survey collects additional information on survey specific health issues. Even with the large sample sizes, users are interested in combining the cycles of the CCHS to improve the quality of the estimates, create estimates for small geographical domains, or to estimate for rare characteristics or populations. This paper will focus on some of the issues related to combining cycles of the CCHS including some possible interpretations of the combined result. Possible methods to combine cycles will also be outlined.
Release date: 2008-03-17 - 7. Exploring the impact of mode on key health estimates in the National Health Interview Survey ArchivedArticles and reports: 11-522-X200600110421Description:
In an effort to increase response rates and decrease costs, many survey operations have begun to use several modes to collect relevant data. While the National Health Interview Survey (NHIS), a multipurpose household health survey conducted annually by the National Center for Health Statistics, Centers for Disease Control and Prevention, is primarily a face-to-face survey, interviewers also rely on the telephone to complete some interviews. This has raised questions about the quality of resulting data. To address these questions, data from the 2005 NHIS are used to analyze the impact of mode on eight key health indicators.
Release date: 2008-03-17 - 8. Accounting for a significant methodological change in analyzing Canadian Community Health Survey data ArchivedArticles and reports: 11-522-X200600110423Description:
Statistics Canada's Canadian Community Health Survey uses two sample frames and two data collection methods. In cycle 2.1, a change was made in sample allocation between the two frames. A study of the collection method effect by Statistics Canada revealed comparability problems between cycles 1.1 and 2.1. In contrast, the Institut de la statistique du Québec took a comprehensive look at the changes, and classified 178 variables as "comparable" or 'non-comparable". It made recommendations to Quebec users concerning chronological and interregional comparisons.
Release date: 2008-03-17 - Articles and reports: 11-522-X200600110426Description:
This paper describes the sample design used to satisfy the objectives and logistics of the Canadian Health Measures Survey. Among the challenges in developing the design were the need to select respondents close to clinics, the difficulty of achieving the desired sample size for young people, and subsampling for measures associated with exposure to environmental contaminants. The sample design contains solutions to those challenges: the establishment of collection sites, the use of more than one sample frame, and a respondent selection strategy.
Release date: 2008-03-17 - Articles and reports: 11-522-X200600110431Description:
We describe statistical disclosure control methods (SDC) developed for a public release Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) micro-data file. CHIRPP is a national injury surveillance database managed by the Public Health Agency of Canada (PHAC). After describing CHIRPP, the paper includes a brief overview of basic SDC concepts, as an introduction to the process for selecting and developing the appropriate SDC methods for CHIRPP given its specific challenges and requirements. We then summarize some key results. The paper concludes with a discussion of the implication of this work for the health information field and closing remarks with respect to the some methodological issues for consideration.
Release date: 2008-03-17
Reference (2)
Reference (2) ((2 results))
- Surveys and statistical programs – Documentation: 89-634-X2008006Description:
This guide is intended to help data users understand the concepts and methods used in the 2006 Aboriginal Children's Survey (ACS), which was conducted from October 2006 to March 2007.
Technical details on sampling, processing and data quality are included in this guide. Further, the guide explains the relationship between the ACS and the 2006 Census and cautions users as to important differences in the data produced from these two sources. Appendix 1 contains a glossary of terms that relate to the ACS. Answers to some frequently asked questions are provided in Appendix 2. Links to the 2006 ACS questionnaires are found in Appendix 3.
Release date: 2008-11-18 - Surveys and statistical programs – Documentation: 75F0002M1992002Description:
When a survey respondent is asked to recall various events, it is known that the quality of the responses diminishes as the length of recall increases. On the other hand, increasing the frequency of data collection increases both the costs of collection and the burden on the respondents. The paper examines options which attempt to strike a reasonable balance between these factors. As it relates to this decision, the paper also describes how the sample has been designed to ensure that it remains representative of the target population, both for a given year and over time.
The conclusion is that, at this time, SLID should collect labour data in January to cover the previous calendar year and to collect income data in May, again to cover the previous calendar year.
Release date: 2008-02-29