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- Surveys and statistical programs – Documentation: 99-002-X2011001Description:
This report describes sampling and weighting procedures used in the 2011 National Household Survey. It provides operational and theoretical justifications for them, and presents the results of the evaluation studies of these procedures.
Release date: 2015-01-28 - 2. An update on "a time to interview" ArchivedArticles and reports: 11-522-X200800010995Description:
In 1992, a paper entitled "The Optimum Time at which to Conduct Survey Interviews" sought to illustrate the economic benefits to market research organisations in structuring the calling pattern of interviewers in household surveys. The findings were based on the Welsh Inter Censal Survey in 1986. This paper now brings additional information on the calling patterns of interviewers from similar surveys in 1997 and 2006 to ascertain whether the calling patterns of interviewers have changed. The results also examine the importance of having a survey response that is representative of the population, and how efficient calling strategies can help achieve this.
Release date: 2009-12-03 - 3. The Effects of the Revised Estimation Methodology on Estimates from Household Expenditure Surveys ArchivedSurveys and statistical programs – Documentation: 62F0026M2005002Description:
This document will provide an overview of the differences between the old and the new weighting methodologies and the effect of the new weighting system on estimations.
Release date: 2005-06-30 - Surveys and statistical programs – Documentation: 62F0026M2004003Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households.
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2004-12-13 - Articles and reports: 12-001-X20020026418Description:
National statistical offices are often called upon to produce statistics for small geographic areas, in addition to their primary responsibility for measuring the condition of the country as a whole and its major subdivisions. This task presents challenges that are different from those faced in statistical programs aiming primarily at national or provincial statistics. This paper examines these challenges and identifies strategies and approaches for the development of programs of small area statistics. The important foundation of a census of population, as well as the primary role of a consistent geographic infrastructure, are emphasized. Potential sources and methods for the production of small area data in the social, economic and environmental fields are examined. Some organizational and dissemination issues are also discussed.
Release date: 2003-01-29 - Articles and reports: 12-001-X20010026089Description:
Telephone surveys are a convenient and efficient method of data collection. Bias may be introduced into population estimates, however, by the exclusion of nontelephone households from these surveys. Data from the U.S. Federal Communications Commission (FCC) indicates that five and a half to six percent of American households are without phone service at any given time. The bias introduced can be significant since nontelephone households may differ from telephone households in ways that are not adequately handled by poststratification. Many households, called "transients", move in and out of the telephone population during the year, sometimes due to economic reasons or relocation. The transient telephone population may be representative of the nontelephone population in general since its members have recently been in the nontelephone population.
Release date: 2002-02-28 - 7. 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: 62F0026M2001001Description:
This report describes the quality indicators produced for the 1998 Survey of Household Spending. It covers the usual quality indicators that help users interpret data, such as coefficients of variation, nonresponse rates, imputation rates and the impact of imputed data on the estimates. Added to these are various less often used indicators such as slippage rates and measures of the representativity of the sample for particular characteristics that are useful for evaluating the survey methodology.
Release date: 2001-10-15 - Surveys and statistical programs – Documentation: 62F0026M2001002Description:
This report describes the quality indicators produced for the 1999 Survey of Household Spending. It covers the usual quality indicators that help users interpret data, such as coefficients of variation, nonresponse rates, imputation rates and the impact of imputed data on the estimates. Added to these are various less often used indicators such as slippage rates and measures of the representativity of the sample for particular characteristics that are useful for evaluating the survey methodology.
Release date: 2001-10-15
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- 1. An update on "a time to interview" ArchivedArticles and reports: 11-522-X200800010995Description:
In 1992, a paper entitled "The Optimum Time at which to Conduct Survey Interviews" sought to illustrate the economic benefits to market research organisations in structuring the calling pattern of interviewers in household surveys. The findings were based on the Welsh Inter Censal Survey in 1986. This paper now brings additional information on the calling patterns of interviewers from similar surveys in 1997 and 2006 to ascertain whether the calling patterns of interviewers have changed. The results also examine the importance of having a survey response that is representative of the population, and how efficient calling strategies can help achieve this.
Release date: 2009-12-03 - Articles and reports: 12-001-X20020026418Description:
National statistical offices are often called upon to produce statistics for small geographic areas, in addition to their primary responsibility for measuring the condition of the country as a whole and its major subdivisions. This task presents challenges that are different from those faced in statistical programs aiming primarily at national or provincial statistics. This paper examines these challenges and identifies strategies and approaches for the development of programs of small area statistics. The important foundation of a census of population, as well as the primary role of a consistent geographic infrastructure, are emphasized. Potential sources and methods for the production of small area data in the social, economic and environmental fields are examined. Some organizational and dissemination issues are also discussed.
Release date: 2003-01-29 - Articles and reports: 12-001-X20010026089Description:
Telephone surveys are a convenient and efficient method of data collection. Bias may be introduced into population estimates, however, by the exclusion of nontelephone households from these surveys. Data from the U.S. Federal Communications Commission (FCC) indicates that five and a half to six percent of American households are without phone service at any given time. The bias introduced can be significant since nontelephone households may differ from telephone households in ways that are not adequately handled by poststratification. Many households, called "transients", move in and out of the telephone population during the year, sometimes due to economic reasons or relocation. The transient telephone population may be representative of the nontelephone population in general since its members have recently been in the nontelephone population.
Release date: 2002-02-28
Reference (6)
Reference (6) ((6 results))
- Surveys and statistical programs – Documentation: 99-002-X2011001Description:
This report describes sampling and weighting procedures used in the 2011 National Household Survey. It provides operational and theoretical justifications for them, and presents the results of the evaluation studies of these procedures.
Release date: 2015-01-28 - 2. The Effects of the Revised Estimation Methodology on Estimates from Household Expenditure Surveys ArchivedSurveys and statistical programs – Documentation: 62F0026M2005002Description:
This document will provide an overview of the differences between the old and the new weighting methodologies and the effect of the new weighting system on estimations.
Release date: 2005-06-30 - Surveys and statistical programs – Documentation: 62F0026M2004003Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households.
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2004-12-13 - 4. 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: 62F0026M2001001Description:
This report describes the quality indicators produced for the 1998 Survey of Household Spending. It covers the usual quality indicators that help users interpret data, such as coefficients of variation, nonresponse rates, imputation rates and the impact of imputed data on the estimates. Added to these are various less often used indicators such as slippage rates and measures of the representativity of the sample for particular characteristics that are useful for evaluating the survey methodology.
Release date: 2001-10-15 - Surveys and statistical programs – Documentation: 62F0026M2001002Description:
This report describes the quality indicators produced for the 1999 Survey of Household Spending. It covers the usual quality indicators that help users interpret data, such as coefficients of variation, nonresponse rates, imputation rates and the impact of imputed data on the estimates. Added to these are various less often used indicators such as slippage rates and measures of the representativity of the sample for particular characteristics that are useful for evaluating the survey methodology.
Release date: 2001-10-15
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