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- Articles and reports: 75F0002M1992009Description:
There are many issues to consider when developing and conducting a survey. Length, complexity and timing of the survey are all factors that may influence potential respondents' likelihood to participate in a survey. One important issue that affects this decision is the extent to which a questionnaire appears to be an invasion of privacy. Information on income and finances is one type of information that many people are reluctant to share but that is important for policy and research purposes.
Collecting such information for the Survey of Consumer Finances (SCF) has proven difficult, and has resulted in higher than average non-response rate for a supplemental survey to the Labour Force Survey. Given the similarity between the SCF and an upcoming survey, the Survey of Labour and Income Dynamics (SLID), it is important to examine the reasons behind the SCF's higher non-response rate and obtain suggestions for increasing response rate and gaining commitment from respondents to the 6-year SLID.
Statistics Canada asked Price Waterhouse to conduct focus groups and in-depth interviews with respondents and non-respondents to the SCF. The objectives of these focus groups and in-depth interviews were to explore reasons for response and non-response, issues of privacy and confidentiality and understanding of the terms used in the survey, and to test reactions to the appearance of a draft SLID package.
Release date: 2008-10-21 - Articles and reports: 75F0002M1992003Description:
As SLID is a longitudinal survey, it is desirable to retain respondents in the sample for as long as possible. However, sample attrition and changes in the popu lation result in the sample becoming less representative of the population as time passes. To balance these factors, the sample for a longitudinal survey may be comprised of panels, with each panel being representative of the target population. Starting with a fixed sample size, the paper examines feasible options for the number of panels in the sample and the length of time which each panel remains in the survey. The rationale for the selected option is reviewed.
Release date: 2008-02-29 - Surveys and statistical programs – Documentation: 62F0026M2005006Description:
This report describes the quality indicators produced for the 2003 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2005-10-06 - Articles and reports: 62F0026M2005003Description:
The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.
The FES, like all surveys, is subject to error despite all the precautions taken at the various stages of the survey to control them. Although there is no exhaustive measure of a survey's data quality, certain quality measures taken at various stages of the survey can provide the user with relevant information to ensure sound data interpretation.
This paper presents, for the 2001 FES, the following quality indicators the coefficients of variation, the non-response rates, the vacancy rates, the slippage rates, the imputation rates as well the impacts of imputation on the estimates.
Release date: 2005-07-08 - 5. Methodology of the Food Expenditure Survey ArchivedSurveys and statistical programs – Documentation: 62F0026M2005004Description:
The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.
This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.
Release date: 2005-07-08 - Surveys and statistical programs – Documentation: 62F0026M2004001Description:
This report describes the quality indicators produced for the 2002 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2004-09-15 - Surveys and statistical programs – Documentation: 75F0002M2002006Description:
This user's guide provides a detailed description of the CD-ROM Income trends in Canada (Catalogue no. 13F0022XCB). It also provides a glossary and a description of the major concepts, as well as an overview of the data source, the Survey of Labour and Income Dynamics (SLID).
Release date: 2002-11-19 - Surveys and statistical programs – Documentation: 62F0026M2002001Description:
This report describes the quality indicators produced for the 2000 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, non-response rates, slippage rates and imputation rates.
Release date: 2002-06-28 - 9. User Guide - Survey of Household Spending, 2000 ArchivedSurveys and statistical programs – Documentation: 62F0026M2001004Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).
Release date: 2001-12-12 - Articles and reports: 62F0026M2000004Description:
The Survey of Household Spending (SHS), which replaced the periodic Family Expenditure Survey (FAMEX) in 1997, is an annual survey that collects detailed expenditure information from households for a given calendar year. Due to the heavy response burden placed on respondents of this survey, it was decided for the 1997 survey to perform a test of incentive effect on response rates. Two incentives were used: a one-year subscription to the Statistics Canada publication Canadian Social Trends and a telephone calling card. The response rate data was analysed using Fisher's exact test and some non-parametric methods. After controlling for a discovered interviewer assignment effect, it was found that there was some evidence of a telephone card effect in the western and eastern most regions of Canada, while there was no evidence of any effect for the magazine. These findings were somewhat corroborated by a separate study testing effects of incentives on respondent relations. All these results will be discussed in this paper.
Release date: 2000-08-31
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Analysis (5)
Analysis (5) ((5 results))
- Articles and reports: 75F0002M1992009Description:
There are many issues to consider when developing and conducting a survey. Length, complexity and timing of the survey are all factors that may influence potential respondents' likelihood to participate in a survey. One important issue that affects this decision is the extent to which a questionnaire appears to be an invasion of privacy. Information on income and finances is one type of information that many people are reluctant to share but that is important for policy and research purposes.
Collecting such information for the Survey of Consumer Finances (SCF) has proven difficult, and has resulted in higher than average non-response rate for a supplemental survey to the Labour Force Survey. Given the similarity between the SCF and an upcoming survey, the Survey of Labour and Income Dynamics (SLID), it is important to examine the reasons behind the SCF's higher non-response rate and obtain suggestions for increasing response rate and gaining commitment from respondents to the 6-year SLID.
Statistics Canada asked Price Waterhouse to conduct focus groups and in-depth interviews with respondents and non-respondents to the SCF. The objectives of these focus groups and in-depth interviews were to explore reasons for response and non-response, issues of privacy and confidentiality and understanding of the terms used in the survey, and to test reactions to the appearance of a draft SLID package.
Release date: 2008-10-21 - Articles and reports: 75F0002M1992003Description:
As SLID is a longitudinal survey, it is desirable to retain respondents in the sample for as long as possible. However, sample attrition and changes in the popu lation result in the sample becoming less representative of the population as time passes. To balance these factors, the sample for a longitudinal survey may be comprised of panels, with each panel being representative of the target population. Starting with a fixed sample size, the paper examines feasible options for the number of panels in the sample and the length of time which each panel remains in the survey. The rationale for the selected option is reviewed.
Release date: 2008-02-29 - Articles and reports: 62F0026M2005003Description:
The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.
The FES, like all surveys, is subject to error despite all the precautions taken at the various stages of the survey to control them. Although there is no exhaustive measure of a survey's data quality, certain quality measures taken at various stages of the survey can provide the user with relevant information to ensure sound data interpretation.
This paper presents, for the 2001 FES, the following quality indicators the coefficients of variation, the non-response rates, the vacancy rates, the slippage rates, the imputation rates as well the impacts of imputation on the estimates.
Release date: 2005-07-08 - Articles and reports: 62F0026M2000004Description:
The Survey of Household Spending (SHS), which replaced the periodic Family Expenditure Survey (FAMEX) in 1997, is an annual survey that collects detailed expenditure information from households for a given calendar year. Due to the heavy response burden placed on respondents of this survey, it was decided for the 1997 survey to perform a test of incentive effect on response rates. Two incentives were used: a one-year subscription to the Statistics Canada publication Canadian Social Trends and a telephone calling card. The response rate data was analysed using Fisher's exact test and some non-parametric methods. After controlling for a discovered interviewer assignment effect, it was found that there was some evidence of a telephone card effect in the western and eastern most regions of Canada, while there was no evidence of any effect for the magazine. These findings were somewhat corroborated by a separate study testing effects of incentives on respondent relations. All these results will be discussed in this paper.
Release date: 2000-08-31 - Articles and reports: 75F0002M1997004Description:
This paper sets out a number of summary analyses that support the recommendation to draw a top up sample in the integration of Survey of Labour and Income Dynamics (SLID) and Survey of Consumer Finances (SCF) data.
Release date: 1997-12-31
Reference (8)
Reference (8) ((8 results))
- Surveys and statistical programs – Documentation: 62F0026M2005006Description:
This report describes the quality indicators produced for the 2003 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2005-10-06 - 2. Methodology of the Food Expenditure Survey ArchivedSurveys and statistical programs – Documentation: 62F0026M2005004Description:
The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.
This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.
Release date: 2005-07-08 - Surveys and statistical programs – Documentation: 62F0026M2004001Description:
This report describes the quality indicators produced for the 2002 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2004-09-15 - Surveys and statistical programs – Documentation: 75F0002M2002006Description:
This user's guide provides a detailed description of the CD-ROM Income trends in Canada (Catalogue no. 13F0022XCB). It also provides a glossary and a description of the major concepts, as well as an overview of the data source, the Survey of Labour and Income Dynamics (SLID).
Release date: 2002-11-19 - Surveys and statistical programs – Documentation: 62F0026M2002001Description:
This report describes the quality indicators produced for the 2000 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, non-response rates, slippage rates and imputation rates.
Release date: 2002-06-28 - 6. User Guide - Survey of Household Spending, 2000 ArchivedSurveys and statistical programs – Documentation: 62F0026M2001004Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).
Release date: 2001-12-12 - Surveys and statistical programs – Documentation: 75F0002M1993012Description:
This paper presents observations of the field test of the income and wealth content proposed for the Survey of Labour and Income Dynamics (SLID), as reported by members of the SLID head office project team and a summary of responses by a subset of interviewers who were asked to complete a debriefing questionnaire.
Release date: 1995-12-30 - Surveys and statistical programs – Documentation: 75F0002M1994011Description:
This report examines the feasibility of accessing income tax returns instead of collecting income information in a traditional survey for the Survey of Labour and Income Dynamics (SLID).
Release date: 1995-12-30
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