Collection and questionnaires
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- 1. Survey of Labour and Income Dynamics (SLID): Preliminary Interview Questionnaire for Reference Year 2004 ArchivedSurveys and statistical programs – Documentation: 75F0002M2006001Description:
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 2005 Preliminary questionnaire (for the 2004 reference year).
Release date: 2006-04-06 - Surveys and statistical programs – Documentation: 75F0002M2006003Description:
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 - Surveys and statistical programs – Documentation: 75F0002M2006002Description:
In previous years, the Survey of Labour and Income Dynamics (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.
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 2005 Entry Exit portion of the Labour Income interview (for the 2004 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: 2006-03-27 - Articles and reports: 12-001-X20050029049Description:
Nonresponse weight adjustment is commonly used to compensate for unit nonresponse in surveys. Often, a nonresponse model is postulated and design weights are adjusted by the inverse of estimated response probabilities. Typical nonresponse models are conditional on a vector of fixed auxiliary variables that are observed for every sample unit, such as variables used to construct the sampling design. In this note, we consider using data collection process variables as potential auxiliary variables. An example is the number of attempts to contact a sample unit. In our treatment, these auxiliary variables are taken to be random, even after conditioning on the selected sample, since they could change if the data collection process were repeated for a given sample. We show that this randomness introduces no bias and no additional variance component in the estimates of population totals when the nonresponse model is properly specified. Moreover, when nonresponse depends on the variables of interest, we argue that the use of data collection process variables is likely to reduce the nonresponse bias if they provide information about the variables of interest not already included in the nonresponse model and if they are associated with nonresponse. As a result, data collection process variables may well be beneficial to handle unit nonresponse. This is briefly illustrated using the Canadian Labour Force Survey.
Release date: 2006-02-17
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- Articles and reports: 12-001-X20050029049Description:
Nonresponse weight adjustment is commonly used to compensate for unit nonresponse in surveys. Often, a nonresponse model is postulated and design weights are adjusted by the inverse of estimated response probabilities. Typical nonresponse models are conditional on a vector of fixed auxiliary variables that are observed for every sample unit, such as variables used to construct the sampling design. In this note, we consider using data collection process variables as potential auxiliary variables. An example is the number of attempts to contact a sample unit. In our treatment, these auxiliary variables are taken to be random, even after conditioning on the selected sample, since they could change if the data collection process were repeated for a given sample. We show that this randomness introduces no bias and no additional variance component in the estimates of population totals when the nonresponse model is properly specified. Moreover, when nonresponse depends on the variables of interest, we argue that the use of data collection process variables is likely to reduce the nonresponse bias if they provide information about the variables of interest not already included in the nonresponse model and if they are associated with nonresponse. As a result, data collection process variables may well be beneficial to handle unit nonresponse. This is briefly illustrated using the Canadian Labour Force Survey.
Release date: 2006-02-17
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- 1. Survey of Labour and Income Dynamics (SLID): Preliminary Interview Questionnaire for Reference Year 2004 ArchivedSurveys and statistical programs – Documentation: 75F0002M2006001Description:
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 2005 Preliminary questionnaire (for the 2004 reference year).
Release date: 2006-04-06 - Surveys and statistical programs – Documentation: 75F0002M2006003Description:
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 - Surveys and statistical programs – Documentation: 75F0002M2006002Description:
In previous years, the Survey of Labour and Income Dynamics (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.
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 2005 Entry Exit portion of the Labour Income interview (for the 2004 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: 2006-03-27
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