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All (155)

All (155) (20 to 30 of 155 results)

21. Keeping in touch with project participants between surveys: A mailing experiment Archived
Articles and reports: 11-522-X200800011000
Description:
The present report reviews the results of a mailing experiment that took place within a large scale demonstration project. A postcard and stickers were sent to a random group of project participants in the period between a contact call and a survey. The researchers hypothesized that, because of the additional mailing (the treatment), the response rates to the upcoming survey would increase. There was, however, no difference between the response rates of the treatment group that received the additional mailing and the control group. In the specific circumstances of the mailing experiment, sending project participants a postcard and stickers as a reminder of the upcoming survey and of their participation in the pilot project was not an efficient way to increase response rates.
Release date: 2009-12-03
22. Is there really any benefit in sending out introductory letters in Random Digit Dialling (RDD) surveys? Archived
Articles and reports: 11-522-X200800011001
Description:
Currently underway, the Québec Population Health Survey (EQSP), for which collection will wrap up in February 2009, provides an opportunity, because of the size of its sample, to assess the impact that sending out introductory letters to respondents has on the response rate in a controlled environment. Since this regional telephone survey is expected to have more than 38,000 respondents, it was possible to use part of its sample for this study without having too great an impact on its overall response rate. In random digit dialling (RDD) surveys such as the EQSP, one of the main challenges in sending out introductory letters is reaching the survey units. Doing so depends largely on our capacity to associate an address with the sample units and on the quality of that information.
This article describes the controlled study proposed by the Institut de la statistique du Québec to measure the effect that sending out introductory letters to respondents had on the survey's response rate.
Release date: 2009-12-03
23. Measuring respondent burden in the UK Office for National Statistics Archived
Articles and reports: 11-522-X200800011006
Description:
The Office for National Statistics (ONS) has an obligation to measure and annually report on the burden that it places on businesses participating in its surveys. There are also targets for reduction of costs to businesses complying with government regulation as part of the 2005 Administrative Burdens Reduction Project (ABRP) coordinated by the Better Regulation Executive (BRE).
Respondent burden is measured by looking at the economic costs to businesses. Over time the methodology for measuring this economic cost has changed with the most recent method being the development and piloting of a Standard Cost Model (SCM) approach.
The SCM is commonly used in Europe and is focused on measuring objective administrative burdens for all government requests for information e.g. tax returns, VAT, as well as survey participation. This method was not therefore specifically developed to measure statistical response burden. The SCM methodology is activity-based, meaning that the costs and time taken to fulfil requirements are broken down by activity.
The SCM approach generally collects data using face-to-face interviews. The approach is therefore labour intensive both from a collection and analysis perspective but provides in depth information. The approach developed and piloted at ONS uses paper self-completion questionnaires.
The objective of this paper is to provide an overview of respondent burden reporting and targets; and to review the different methodologies that ONS has used to measure respondent burden from the perspectives of sampling, data collection, analysis and usability.
Release date: 2009-12-03
24. Reducing the number of cognitive interviews by adding other cognitive methods of testing Archived
Articles and reports: 11-522-X200800011007
Description:
The Questionnaire Design Resource Centre (QDRC) is the focal point of expertise at Statistics Canada for questionnaire design and evaluation. As it stands now, cognitive interviewing to test questionnaires is most often done near the end of the questionnaire development process. By participating earlier in the questionnaire development process, the QDRC could test new survey topics using more adaptive cognitive methods for each step of the questionnaire development process. This would necessitate fewer participants for each phase of testing, thus reducing the cost and the recruitment challenge.
Based on a review of the literature and Statistics Canada's existing questionnaire evaluation projects, this paper will describe how the QDRC could help clients in making appropriate improvements to their questionnaire in a timely manner.
Release date: 2009-12-03
25. On the definition and interpretation of interviewer variability for a complex sampling design Archived
Articles and reports: 12-001-X200900110886
Description:
Interviewer variability is a major component of variability of survey statistics. Different strategies related to question formatting, question phrasing, interviewer training, interviewer workload, interviewer experience and interviewer assignment are employed in an effort to reduce interviewer variability. The traditional formula for measuring interviewer variability, commonly referred to as the interviewer effect, is given by ieff := deff_int = 1 + (n bar sub int - 1) rho sub int, where rho sub int and n bar sub int are the intra-interviewer correlation and the simple average of the interviewer workloads, respectively. In this article, we provide a model-assisted justification of this well-known formula for equal probability of selection methods (epsem) with no spatial clustering in the sample and equal interviewer workload. However, spatial clustering and unequal weighting are both very common in large scale surveys. In the context of a complex sampling design, we obtain an appropriate formula for the interviewer variability that takes into consideration unequal probability of selection and spatial clustering. Our formula provides a more accurate assessment of interviewer effects and thus is helpful in allocating more reasonable amount of funds to control the interviewer variability. We also propose a decomposition of the overall effect into effects due to weighting, spatial clustering and interviewers. Such a decomposition is helpful in understanding ways to reduce total variance by different means.
Release date: 2009-06-22
26. Using behavior coding to evaluate the effectiveness of dependent interviewing Archived
Articles and reports: 12-001-X200800210755
Description:
Dependent interviewing (DI) is used in many longitudinal surveys to "feed forward" data from one wave to the next. Though it is a promising technique which has been demonstrated to enhance data quality in certain respects, relatively little is known about how it is actually administered in the field. This research seeks to address this issue through behavior coding. Various styles of DI were employed in the English Longitudinal Study of Ageing (ELSA) in January, 2006, and recordings were made of pilot field interviews. These recordings were analysed to determine whether the questions (particularly the DI aspects) were administered appropriately and to explore the respondent's reaction to the fed-forward data. Of particular interest was whether respondents confirmed or challenged the previously-reported information, whether the prior wave data came into play when respondents were providing their current-wave answers, and how any discrepancies were negotiated by the interviewer and respondent. Also of interest was to examine the effectiveness of various styles of DI. For example, in some cases the prior wave data was brought forward and respondents were asked to explicitly confirm it; in other cases the previous data was read and respondents were asked if the situation was still the same. Results indicate varying levels of compliance in terms of initial question-reading, and suggest that some styles of DI may be more effective than others.
Release date: 2008-12-23
27. In this issue (Vol. 34, no. 2) Archived
Articles and reports: 12-001-X200800210768
Description:
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
28. Survey of Labour and Income Dynamics (SLID): Entry Exit Component Interview Questionnaire for Reference Year 2006 Archived
Surveys and statistical programs – Documentation: 75F0002M2008002
Description:
The Survey of Labour and Income Dynamics (SLID) conducts an annual labour and income interview in January. The data are collected using computer-assisted interviewing; thus no paper questionnaire is required for data collection. The questions, responses and interview flow for labour and income are documented in another SLID research paper. This document presents the information for the 2007 entry and exit portions of the labour and income interview (reference year 2006).
The entry exit component consists of five separate modules. The entry module is the first set of data collected. It is information collected to update the place of residence, housing conditions and expenses, as well as the household composition. For each person identified in entry, the demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the relationships module identifies (or updates) the relationship between each respondent and every other household member. The exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the tracing component is also included in this document.
Release date: 2008-05-30
29. Survey of Labour and Income Dynamics (SLID): Preliminary, Labour and Income Interview Questionnaire for Reference Year 2006 Archived
Surveys and statistical programs – Documentation: 75F0002M2008003
Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey which collects information related to the standard of living of individuals and their families. By interviewing the same people over a period of six years, changes and the causes of these changes can be monitored.
A preliminary interview of background information is collected for all respondents aged 16 and over, who enter the SLID sample. Preliminary interviews are conducted for new household members during their first labour and income interview after they join the household. A labour and income interview is collected each year for all respondents 16 years of age and over.
The purpose of this document is to present the questions, possible responses and question flows for the 2007 preliminary, labour and income questionnaire (for the 2006 reference year).
Release date: 2008-05-30
30. Estimates of obesity based on self-report versus direct measures Archived
Articles and reports: 82-003-X200800210569
Geography: Canada
Description:
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

Data (5)

Data (5) ((5 results))

1. Canada Survey of Giving, Volunteering and Participating: Public Use Microdata File
Public use microdata: 89M0017X
Description: The public use microdata file from the 2010 Canada Survey of Giving, Volunteering and Participating is now available. This file contains information collected from nearly 15,000 respondents aged 15 and over residing in private households in the provinces.The public use microdata file provides provincial-level information about the ways in which Canadians donate money and in-kind gifts to charitable and nonprofit organizations; volunteer their time to these organizations; provide help directly to others. Socio-demographic, income and labour force data are also included on the file.
Release date: 2024-07-24
2. Adult Education and Training Survey, Documentation and Data Files Archived
Public use microdata: 81M0013X
Description:
The Adult Education and Training Survey (AETS) is Canada's most comprehensive source of data on individual participation in formal adult education and training. It is the only Canadian survey to collect detailed information about the skill development efforts of the entire adult Canadian population. The AETS provides information about the main subject of training activities, their provider, duration and the sources and types of support for training. Furthermore, the AETS allows for the examination of the socio-economic and demographic profiles of both training participants and non-participants. This survey also identifies barriers faced by individuals who wish to take some form of training but cannot. The AETS was administered three times during the 1990s, in 1992, 1994 and 1998, as a supplement to the Labour Force Survey (LFS).
The content of the AETS was revised to take into account recommendations coming from consultation exercises. As a result, more than half of the 2003 survey is made up of new questions and the target population has been modified.
The main objectives are:1) To measure the incidence and intensity of adults' participation in job-related formal training.2) To profile employer support to job-related formal training.3) To analyze the aspects of job-related training activities such as: training provider, expenses, financial support, motivations, outcomes and difficulties experienced while training.4) To identify the barriers preventing individuals from participating in the job-related formal training they want or need to take.5) To identify reasons explaining adults' lack of participation and of interest in job-related formal training.6) To relate adults' current participation patterns to their past involvement in and plans about future participation in job-related training.7) To measure the incidence and frequency of adults' participation in job-related informal training.8) To examine the interactions between participation in formal and informal job-related training.
The population covered by the AETS consists of Canadians 25 years of age and older. This is a change from the population previously targeted by the AETS, which consisted of Canadians aged 17 years of age and older. A primary consideration for this change was the practical difficulties in applying the definition of adult education to individuals in the 17 to 24 years of age group. By definition, adult education excludes students who are still involved in their first or initial stage of schooling. As previous AETS did not precisely identify students still in their initial stage of schooling, analyses using these data had to rely on an ad hoc definition of adult learners. According to this definition, individuals aged 17 to 24 who were not in one of the following situations were excluded from the analysis: full-time students subsidized by an employer and full-time students over 19 enrolled in elementary or secondary programs.
Release date: 2004-05-27
3. National Longitudinal Survey of Children and Youth, Documentation and Data Files Archived
Public use microdata: 89M0015X
Description:
The National Longitudinal Survey of Children and Youth (NLSCY), developed jointly by Human Resources Development Canada and Statistics Canada, is a comprehensive survey which follows the development of children in Canada and paints a picture of their lives. The survey monitors children's development and measures the incidence of various factors that influence their development, both positively and negatively.
Release date: 2001-05-30
4. National Population Health Survey - Public Use Microdata Files - Household Component Archived
Public use microdata: 82M0009X
Description:
The National Population Health Survey (NPHS) used the Labour Force Survey sampling frame to draw the initial sample of approximately 20,000 households starting in 1994 and for the sample top-up this third cycle. The survey is conducted every two years. The sample collection is distributed over four quarterly periods followed by a follow-up period and the whole process takes a year. In each household, some limited health information is collected from all household members and one person in each household is randomly selected for a more in-depth interview.
The survey is designed to collect information on the health of the Canadian population and related socio-demographic information. The first cycle of data collection began in 1994, and continues every second year thereafter. The survey is designed to produce both cross-sectional and longitudinal estimates. The questionnaires includes content related to health status, use of health services, determinants of health, a health index, chronic conditions and activity restrictions. The use of health services is probed through visits to health care providers, both traditional and non-traditional, and the use of drugs and other mediciations. Health determinants include smoking, alcohol use and physical activity. A special focus content for this cycle includes family medical history with questions about certain chronic conditions among immediate family members and when they were acquired. As well, a section on self care has also been included this cycle. The socio-demographic information includes age, sex, education, ethnicity, household income and labour force status.
Release date: 2000-12-19
5. General Social Survey, Cycle 10: Family (1995) - Public Use Microdata File Archived
Public use microdata: 12M0010X
Description:
Cycle 10 collected data from persons 15 years and older and concentrated on the respondent's family. Topics covered include marital history, common- law unions, biological, adopted and step children, family origins, child leaving and fertility intentions.

The target population of the GSS (General Social Survey) consisted of all individuals aged 15 and over living in a private household in one of the ten provinces.

Release date: 1997-02-28

Analysis (84)

Analysis (84) (20 to 30 of 84 results)

21. Measuring respondent burden in the UK Office for National Statistics Archived
Articles and reports: 11-522-X200800011006
Description:
The Office for National Statistics (ONS) has an obligation to measure and annually report on the burden that it places on businesses participating in its surveys. There are also targets for reduction of costs to businesses complying with government regulation as part of the 2005 Administrative Burdens Reduction Project (ABRP) coordinated by the Better Regulation Executive (BRE).
Respondent burden is measured by looking at the economic costs to businesses. Over time the methodology for measuring this economic cost has changed with the most recent method being the development and piloting of a Standard Cost Model (SCM) approach.
The SCM is commonly used in Europe and is focused on measuring objective administrative burdens for all government requests for information e.g. tax returns, VAT, as well as survey participation. This method was not therefore specifically developed to measure statistical response burden. The SCM methodology is activity-based, meaning that the costs and time taken to fulfil requirements are broken down by activity.
The SCM approach generally collects data using face-to-face interviews. The approach is therefore labour intensive both from a collection and analysis perspective but provides in depth information. The approach developed and piloted at ONS uses paper self-completion questionnaires.
The objective of this paper is to provide an overview of respondent burden reporting and targets; and to review the different methodologies that ONS has used to measure respondent burden from the perspectives of sampling, data collection, analysis and usability.
Release date: 2009-12-03
22. Reducing the number of cognitive interviews by adding other cognitive methods of testing Archived
Articles and reports: 11-522-X200800011007
Description:
The Questionnaire Design Resource Centre (QDRC) is the focal point of expertise at Statistics Canada for questionnaire design and evaluation. As it stands now, cognitive interviewing to test questionnaires is most often done near the end of the questionnaire development process. By participating earlier in the questionnaire development process, the QDRC could test new survey topics using more adaptive cognitive methods for each step of the questionnaire development process. This would necessitate fewer participants for each phase of testing, thus reducing the cost and the recruitment challenge.
Based on a review of the literature and Statistics Canada's existing questionnaire evaluation projects, this paper will describe how the QDRC could help clients in making appropriate improvements to their questionnaire in a timely manner.
Release date: 2009-12-03
23. On the definition and interpretation of interviewer variability for a complex sampling design Archived
Articles and reports: 12-001-X200900110886
Description:
Interviewer variability is a major component of variability of survey statistics. Different strategies related to question formatting, question phrasing, interviewer training, interviewer workload, interviewer experience and interviewer assignment are employed in an effort to reduce interviewer variability. The traditional formula for measuring interviewer variability, commonly referred to as the interviewer effect, is given by ieff := deff_int = 1 + (n bar sub int - 1) rho sub int, where rho sub int and n bar sub int are the intra-interviewer correlation and the simple average of the interviewer workloads, respectively. In this article, we provide a model-assisted justification of this well-known formula for equal probability of selection methods (epsem) with no spatial clustering in the sample and equal interviewer workload. However, spatial clustering and unequal weighting are both very common in large scale surveys. In the context of a complex sampling design, we obtain an appropriate formula for the interviewer variability that takes into consideration unequal probability of selection and spatial clustering. Our formula provides a more accurate assessment of interviewer effects and thus is helpful in allocating more reasonable amount of funds to control the interviewer variability. We also propose a decomposition of the overall effect into effects due to weighting, spatial clustering and interviewers. Such a decomposition is helpful in understanding ways to reduce total variance by different means.
Release date: 2009-06-22
24. Using behavior coding to evaluate the effectiveness of dependent interviewing Archived
Articles and reports: 12-001-X200800210755
Description:
Dependent interviewing (DI) is used in many longitudinal surveys to "feed forward" data from one wave to the next. Though it is a promising technique which has been demonstrated to enhance data quality in certain respects, relatively little is known about how it is actually administered in the field. This research seeks to address this issue through behavior coding. Various styles of DI were employed in the English Longitudinal Study of Ageing (ELSA) in January, 2006, and recordings were made of pilot field interviews. These recordings were analysed to determine whether the questions (particularly the DI aspects) were administered appropriately and to explore the respondent's reaction to the fed-forward data. Of particular interest was whether respondents confirmed or challenged the previously-reported information, whether the prior wave data came into play when respondents were providing their current-wave answers, and how any discrepancies were negotiated by the interviewer and respondent. Also of interest was to examine the effectiveness of various styles of DI. For example, in some cases the prior wave data was brought forward and respondents were asked to explicitly confirm it; in other cases the previous data was read and respondents were asked if the situation was still the same. Results indicate varying levels of compliance in terms of initial question-reading, and suggest that some styles of DI may be more effective than others.
Release date: 2008-12-23
25. In this issue (Vol. 34, no. 2) Archived
Articles and reports: 12-001-X200800210768
Description:
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
26. Estimates of obesity based on self-report versus direct measures Archived
Articles and reports: 82-003-X200800210569
Geography: Canada
Description:
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
27. Learning the unique and peculiar challenges of direct health measures surveys: the Canadian experience Archived
Articles and reports: 11-522-X200600110412
Description:
The Canadian Health Measures Survey (CHMS) represents Statistics Canada's first health survey employing a comprehensive battery of direct physical measurements of health. The CHMS will be collecting directly measured health data on a representative sample of 5000 Canadians aged 6 to 79 in 2007 to 2009. After a comprehensive in-home health interview, respondents report to a mobile examination centre where direct health measures are performed. Measures include fitness tests, anthropometry, objective physical activity monitoring, spirometry, blood pressure measurements, oral health measures and blood and urine sampling. Blood and urine are analyzed for measures of chronic disease, infectious disease, nutritional indicators and environmental biomarkers. This survey has many unique and peculiar challenges rarely experienced by most Statistics Canada surveys; some of these challenges are described in this paper. The data collected through the CHMS is unique and represents a valuable health surveillance and research resource for Canada.
Release date: 2008-03-17
28. The U.S. National Health and Nutrition Examination Survey: what forty years of experience has taught us Archived
Articles and reports: 11-522-X200600110413
Description:
The National Health and Nutrition Examination Survey (NHANES) has been conducted by the National Center for Health Statistics for over forty years. The survey collects information on the health and nutritional status of the United States population using in-person interviews and standardized physical examinations conducted in mobile examination centers. During the course of these forty years, numerous lessons have been learned about the conduct of a survey using direct physical measures. Examples of these "lessons learned" are described and provide a guide for other organizations and countries as they plan similar surveys.
Release date: 2008-03-17
29. Direct health measures surveys in Finland Archived
Articles and reports: 11-522-X200600110414
Description:
In Finland the first national health examination surveys were carried out in the 1960s. Comprehensive surveys of nationally representative population samples have been carried out in 1978 to 1980 (The Mini-Finland Health Survey) and in 2000 to 2001 (Health 2000). Surveys of cardiovascular risk factors, so called FinRisk surveys, have assessed their trends every five years. The health examination surveys are an important tool of health monitoring, and, linked with registers also a rich source of data for epidemiological research. The paper also gives examples on reports published from several of these studies.
Release date: 2008-03-17
30. Exploring the impact of mode on key health estimates in the National Health Interview Survey Archived
Articles and reports: 11-522-X200600110421
Description:
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

Reference (66)

Reference (66) (0 to 10 of 66 results)

1. Guide to the Labour Force Survey
Surveys and statistical programs – Documentation: 71-543-G
Description:
The Guide to the Labour Force Survey contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection, data processing and data quality. It also contains information on products and services, sub-provincial geography descriptions as well as the survey questionnaire.
Release date: 2020-04-09
2. Survey of Labour and Income Dynamics (SLID): Entry Exit Component Interview Questionnaire for Reference Year 2006 Archived
Surveys and statistical programs – Documentation: 75F0002M2008002
Description:
The Survey of Labour and Income Dynamics (SLID) conducts an annual labour and income interview in January. The data are collected using computer-assisted interviewing; thus no paper questionnaire is required for data collection. The questions, responses and interview flow for labour and income are documented in another SLID research paper. This document presents the information for the 2007 entry and exit portions of the labour and income interview (reference year 2006).
The entry exit component consists of five separate modules. The entry module is the first set of data collected. It is information collected to update the place of residence, housing conditions and expenses, as well as the household composition. For each person identified in entry, the demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the relationships module identifies (or updates) the relationship between each respondent and every other household member. The exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the tracing component is also included in this document.
Release date: 2008-05-30
3. Survey of Labour and Income Dynamics (SLID): Preliminary, Labour and Income Interview Questionnaire for Reference Year 2006 Archived
Surveys and statistical programs – Documentation: 75F0002M2008003
Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey which collects information related to the standard of living of individuals and their families. By interviewing the same people over a period of six years, changes and the causes of these changes can be monitored.
A preliminary interview of background information is collected for all respondents aged 16 and over, who enter the SLID sample. Preliminary interviews are conducted for new household members during their first labour and income interview after they join the household. A labour and income interview is collected each year for all respondents 16 years of age and over.
The purpose of this document is to present the questions, possible responses and question flows for the 2007 preliminary, labour and income questionnaire (for the 2006 reference year).
Release date: 2008-05-30
4. Survey of Labour and Income Dynamics: Possible Interview Dates Archived
Surveys and statistical programs – Documentation: 75F0002M1992002
Description:
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
5. Objectives and Content of the Preliminary Interview Archived
Surveys and statistical programs – Documentation: 75F0002M1992007
Description:
A Preliminary Interview will be conducted on the first panel of SLID, in January 1993, as a supplement to the Labour Force Survey. The first panel is made up of about 20,000 households that are rotating out of the Labour Force Survey in January and February, 1993.
The purpose of this document is to provide a description of the purpose of the SLID Preliminary Interview and the question wordings to be used.
Release date: 2008-02-29
6. Survey of Labour and Income Dynamics (SLID): Preliminary, Labour and Income Interview Questionnaire for Reference Year 2005 Archived
Surveys and statistical programs – Documentation: 75F0002M2007001
Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey which collects information related to the standard of living of individuals and their families. By interviewing the same people over a period of six years, changes and the causes of these changes can be monitored.
A preliminary interview of background information is collected for all respondents aged 16 and over, who enter the SLID sample. Preliminary interviews are conducted for new household members during their first labour and income interview after they join the household. A labour and income interview is collected each year for all respondents 16 years of age and over.
The purpose of this document is to present the questions, possible responses and question flows for the 2006 preliminary, labour and income questionnaire (for the 2005 reference year).
Release date: 2007-05-10
7. Survey of Labour and Income Dynamics (SLID): Entry Exit Component Interview Questionnaire for Reference Year 2005 Archived
Surveys and statistical programs – Documentation: 75F0002M2007002
Description:
The Survey of Labour and Income Dynamics (SLID) conducts an annual labour and income interview in January. The data are collected using computer-assisted interviewing; thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for labour and income are documented in another SLID research paper. This document presents the information for the 2006 entry and exit portions of the labour and income interview (for the 2005 reference year).
The entry exit component consists of five separate modules. The entry module is the first set of data collected. It is information collected to update the place of residence, housing conditions and expenses, as well as the household composition. For each person identified in entry, the demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the relationships module identifies (or updates) the relationship between each respondent and every other household member. The exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the tracing component is also included in this document.
Release date: 2007-05-10
8. Survey of Labour and Income Dynamics (SLID): Labour and Income Interview Questionnaire for Reference Year 2004 Archived
Surveys and statistical programs – Documentation: 75F0002M2006003
Description:
The Survey of Income and Labour Dynamics (SLID) interview is conducted using computer-assisted interviewing (CAI). CAI is paperless interviewing. This document is therefore a written approximation of the CAI interview, or the questionnaire.
In previous years, SLID conducted a Labour interview each January and a separate Income interview in May. In 2005 (reference year 2004) the two interviews were combined and collected in one interview in January.
A labour and income interview is collected for all respondents 16 years of age and over. Respondents have the option of answering income questions during the interview, or of giving Statistics Canada permission to use their income tax records.
In January 2005, data was collected for reference year 2004 from panels 3 and 4. Panel 3, in its sixth and final year, consisted of approximately 17,000 households and panel 4, in its third year, also consisted of approximately 17,000 households.
This document outlines the structure of the January 2005 Labour and Income interview (for the 2004 reference year) including question wording, possible responses, and flows of questions.
Release date: 2006-04-06
9. Survey of Labour and Income Dynamics (SLID), 2003 Reference Year: Entry Exit Component for January 2004 Labour Interview and May 2004 Income Interview Archived
Surveys and statistical programs – Documentation: 75F0002M2005005
Description:
The Survey of Labour and Income Dynamics (SLID) conducts two annual interviews: the Labour interview in January and the Income interview in May. The data are collected using computer-assisted interviewing. Thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for Labour and Income are documented in other SLID research papers. This document presents the information for the 2004 Entry Exit portion of the Labour and the Income interviews (for the 2003 reference year).
The Entry Exit Component consists of five separate modules. The Entry module is the first set of data collected. It is information collected to update household composition and place of residence. For each person identified in Entry, the Demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the Relationships module identifies (or updates) the relationship between each respondent and every other household member. Relationship data is not collected in the May Income interview. The Exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the Tracing module is also included in this document.
Release date: 2005-06-16
10. Survey of Labour and Income Dynamics (SLID), 2003 Reference Year: January 2004 Preliminary Interview Questionnaire Archived
Surveys and statistical programs – Documentation: 75F0002M2005006
Description:
A preliminary interview of background information is collected for all respondents aged 16 and over, who enter the sample for the Survey of Labour and Income Dynamics (SLID). For the majority of the longitudinal respondents, this occurs when a new panel is introduced and the preliminary information is collected during the first Labour interview. However, all persons living with a longitudinal respondent are also interviewed for SLID. Thus Preliminary interviews are conducted for new household members during their first Labour interview after they join the household. Longitudinal persons who have turned 16 while their household is in the SLID sample are then eligible for SLID interviews so they are asked the Preliminary interview questions during their first Labour interview.
The purpose of this document is to present the questions, possible responses and question flows for the 2004 Preliminary questionnaire (for the 2003 reference year).
Release date: 2005-06-16

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