Keyword search
Filter results by
Search HelpKeyword(s)
Subject
Survey or statistical program
Results
All (9)
All (9) ((9 results))
- Articles and reports: 11-522-X20010016266Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The key measure of Census quality is the level of response achieved. In recent censuses around the world, this level has been in the high nineties percentage range. This was also true of the 1991 Census in Britain (98%). However, what was particularly noticeable about this Census was the differential response rate and the difficulty in effectively measuring this rate. The United Kingdom set up the One Number Census program in order to research and develop a more effective methodology to measure and account for under-enumeration in the 2001 Census. The key element in this process is the Census Coverage Survey - a significantly larger and redesigned post-enumeration survey.
This paper describes the planning and design of the Census Coverage Survey with particular emphasis on the implementation of the proposed field methodology. It also provides a high-level overview of the success of this survey.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016274Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Since the late 1950s, the probability surveys in the manufacturing sector within the Manufacturing and Construction Division (MCD) had been almost exclusively selected by using Poisson sampling with unit probabilities assigned proportionate to some measure of size. Poisson sampling has the advantage of simplistic variance calculations. Its disadvantage is that the sample size is a random variable, thus adding an additional (and usually positive) component of variance to the survey estimates. In the 1998 survey year, MCD initiated the use of the modified Tillé sampling procedure in some of its surveys. This sampling procedure is used when there is unequal probability of selection and the sample size is fixed. This paper briefly describes this modified procedure and some of its features, and for a variety of dissimilar surveys, itcontrasts variance results obtained using the Tillé procedure to those resulting from the earlier Poisson procedure.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016281Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Methodology for estimating the sampling error of the non-seasonally adjusted estimate of level of the Index of Production (IoP) has previously been developed using Taylor linearization and parametric bootstrap methods, with both producing comparable results. From the study, it was considered that the parametric bootstrap approach would be more practical to implement. This paper describes the methodology that is being developed to estimate the sampling error of the non-seasonally adjusted IoP change using the parametric bootstrap method, along with the data that are needed from the contributing surveys, the assumptions made, and the practical problems encountered during development.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016301Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The Integrated Metadatabase is a corporate repository of information for each of Statistics Canada's surveys. The information stored in the Integrated Metadatabase includes a description of data sources and methodology, definitions of concepts and variables measured, and indicators of data quality. It provides an effective vehicle for communicating data quality to data users. Its coverage of Statistics Canada's data holdings is exhaustive, the provided information on data quality complies with the Policy on Informing Users of Data Quality and Methodology, and it is presented in a consistent and systematic fashion.
Release date: 2002-09-12 - Journals and periodicals: 85F0036XGeography: CanadaDescription:
This study documents the methodological and technical challenges that are involved in performing analysis on small groups using a sample survey, oversampling, response rate, non-response rate due to language, release feasibility and sampling variability. It is based on the 1999 General Social Survey (GSS) on victimization.
Release date: 2002-05-14 - Articles and reports: 12-001-X20010026090Geography: Census metropolitan areaDescription:
The number of calls in a telephone survey is used as an indicator of how difficult an intended respondent is to reach. This permits a probabilistic division of the non-respondents into non-susceptibles (those who will always refuse to respond), and the susceptible non-respondents (those who were not available to respond) in a model of the non-response. Further, it permits stochastic estimation of the views of the latter group and an evaluation of whether the non-response is ignorable for inference about the dependent variable. These ideas are implemented on the data from a survey in Metropolitan Toronto of attitudes toward smoking in the workplace. Using a Bayesian model, the posterior distribution of the model parameters is sampled by Markov Chain Monte Carlo methods. The results reveal that the non-response is not ignorable and those who do not respond are twice as likely to favor unrestricted smoking in the workplace as are those who do.
Release date: 2002-02-28 - 7. Double sampling ArchivedArticles and reports: 12-001-X20010026091Description:
The theory of double sampling is usually presented under the assumption that one of the samples is nested within the other. This type of sampling is called two-phase sampling. The first-phase sample provides auxiliary information (x) that is relatively inexpensive to obtain, whereas the second-phase sample: (b) to improve the estimate using a difference, ratio or regression estimator; or (c) to draw a sub-sample of non-respondent units. However, it is not necessary for one of the samples to be nested in the other or selected from the same frame. The case of non-nested double sampling is dealt with in passing in the classical works on sampling (Des Raj 1968, Cochrane 1977). This method is now used in several national statistical agencies. This paper consolidates double sampling by presenting it in a unified manner. Several examples of surveys used at Statistics Canada illustrate this unification.
Release date: 2002-02-28 - Articles and reports: 12-001-X20010026093Description:
This paper presents weighting procedures that combine information from multiple panels of a repeated panel household survey for cross-sectional estimation. The dynamic character of a repeated panel survey is discussed in relation to estimation of population parameters at any wave of the survey. A repeated panel survey with overlapping panels is described as a special type of multiple frame survey, with the frames of the panels forming a time sequence. The paper proposes weighting strategies suitable for various multiple panel survey situations. The proposed weighting schemes involve an adjustment of weights in domains of the combined panel sample that represent identical time periods covered by the individual panels. A weight adjustment procedure that deals with changes in the panels over time is discussed. The integration of the various weight adjustments required for cross-sectional estimation in a repeated panel household survey is also discussed.
Release date: 2002-02-28 - 9. Local polynomial regression in complex surveys ArchivedArticles and reports: 12-001-X20010026096Description:
Local polynomial regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed method relies on binning the data on the x-variable and calculating the appropriate survey estimates for the mean of the y-values at each bin. When binning on x has been carried out to the precision of the recorded data, the method is the same as applying the survey weights to the standard criterion for obtaining local polynomial regression estimates. The alternative of using classical polynomial regression is also considered and a criterion is proposed to decide whether the nonparametric approach to modeling should be preferred over the classical approach. Illustrative examples are given from the 1990 Ontario Health Survey.
Release date: 2002-02-28
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (9)
Analysis (9) ((9 results))
- Articles and reports: 11-522-X20010016266Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The key measure of Census quality is the level of response achieved. In recent censuses around the world, this level has been in the high nineties percentage range. This was also true of the 1991 Census in Britain (98%). However, what was particularly noticeable about this Census was the differential response rate and the difficulty in effectively measuring this rate. The United Kingdom set up the One Number Census program in order to research and develop a more effective methodology to measure and account for under-enumeration in the 2001 Census. The key element in this process is the Census Coverage Survey - a significantly larger and redesigned post-enumeration survey.
This paper describes the planning and design of the Census Coverage Survey with particular emphasis on the implementation of the proposed field methodology. It also provides a high-level overview of the success of this survey.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016274Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Since the late 1950s, the probability surveys in the manufacturing sector within the Manufacturing and Construction Division (MCD) had been almost exclusively selected by using Poisson sampling with unit probabilities assigned proportionate to some measure of size. Poisson sampling has the advantage of simplistic variance calculations. Its disadvantage is that the sample size is a random variable, thus adding an additional (and usually positive) component of variance to the survey estimates. In the 1998 survey year, MCD initiated the use of the modified Tillé sampling procedure in some of its surveys. This sampling procedure is used when there is unequal probability of selection and the sample size is fixed. This paper briefly describes this modified procedure and some of its features, and for a variety of dissimilar surveys, itcontrasts variance results obtained using the Tillé procedure to those resulting from the earlier Poisson procedure.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016281Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Methodology for estimating the sampling error of the non-seasonally adjusted estimate of level of the Index of Production (IoP) has previously been developed using Taylor linearization and parametric bootstrap methods, with both producing comparable results. From the study, it was considered that the parametric bootstrap approach would be more practical to implement. This paper describes the methodology that is being developed to estimate the sampling error of the non-seasonally adjusted IoP change using the parametric bootstrap method, along with the data that are needed from the contributing surveys, the assumptions made, and the practical problems encountered during development.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016301Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The Integrated Metadatabase is a corporate repository of information for each of Statistics Canada's surveys. The information stored in the Integrated Metadatabase includes a description of data sources and methodology, definitions of concepts and variables measured, and indicators of data quality. It provides an effective vehicle for communicating data quality to data users. Its coverage of Statistics Canada's data holdings is exhaustive, the provided information on data quality complies with the Policy on Informing Users of Data Quality and Methodology, and it is presented in a consistent and systematic fashion.
Release date: 2002-09-12 - Journals and periodicals: 85F0036XGeography: CanadaDescription:
This study documents the methodological and technical challenges that are involved in performing analysis on small groups using a sample survey, oversampling, response rate, non-response rate due to language, release feasibility and sampling variability. It is based on the 1999 General Social Survey (GSS) on victimization.
Release date: 2002-05-14 - Articles and reports: 12-001-X20010026090Geography: Census metropolitan areaDescription:
The number of calls in a telephone survey is used as an indicator of how difficult an intended respondent is to reach. This permits a probabilistic division of the non-respondents into non-susceptibles (those who will always refuse to respond), and the susceptible non-respondents (those who were not available to respond) in a model of the non-response. Further, it permits stochastic estimation of the views of the latter group and an evaluation of whether the non-response is ignorable for inference about the dependent variable. These ideas are implemented on the data from a survey in Metropolitan Toronto of attitudes toward smoking in the workplace. Using a Bayesian model, the posterior distribution of the model parameters is sampled by Markov Chain Monte Carlo methods. The results reveal that the non-response is not ignorable and those who do not respond are twice as likely to favor unrestricted smoking in the workplace as are those who do.
Release date: 2002-02-28 - 7. Double sampling ArchivedArticles and reports: 12-001-X20010026091Description:
The theory of double sampling is usually presented under the assumption that one of the samples is nested within the other. This type of sampling is called two-phase sampling. The first-phase sample provides auxiliary information (x) that is relatively inexpensive to obtain, whereas the second-phase sample: (b) to improve the estimate using a difference, ratio or regression estimator; or (c) to draw a sub-sample of non-respondent units. However, it is not necessary for one of the samples to be nested in the other or selected from the same frame. The case of non-nested double sampling is dealt with in passing in the classical works on sampling (Des Raj 1968, Cochrane 1977). This method is now used in several national statistical agencies. This paper consolidates double sampling by presenting it in a unified manner. Several examples of surveys used at Statistics Canada illustrate this unification.
Release date: 2002-02-28 - Articles and reports: 12-001-X20010026093Description:
This paper presents weighting procedures that combine information from multiple panels of a repeated panel household survey for cross-sectional estimation. The dynamic character of a repeated panel survey is discussed in relation to estimation of population parameters at any wave of the survey. A repeated panel survey with overlapping panels is described as a special type of multiple frame survey, with the frames of the panels forming a time sequence. The paper proposes weighting strategies suitable for various multiple panel survey situations. The proposed weighting schemes involve an adjustment of weights in domains of the combined panel sample that represent identical time periods covered by the individual panels. A weight adjustment procedure that deals with changes in the panels over time is discussed. The integration of the various weight adjustments required for cross-sectional estimation in a repeated panel household survey is also discussed.
Release date: 2002-02-28 - 9. Local polynomial regression in complex surveys ArchivedArticles and reports: 12-001-X20010026096Description:
Local polynomial regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed method relies on binning the data on the x-variable and calculating the appropriate survey estimates for the mean of the y-values at each bin. When binning on x has been carried out to the precision of the recorded data, the method is the same as applying the survey weights to the standard criterion for obtaining local polynomial regression estimates. The alternative of using classical polynomial regression is also considered and a criterion is proposed to decide whether the nonparametric approach to modeling should be preferred over the classical approach. Illustrative examples are given from the 1990 Ontario Health Survey.
Release date: 2002-02-28
Reference (0)
Reference (0) (0 results)
No content available at this time.
- Date modified: