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All (42) (30 to 40 of 42 results)

31. Victim Services in Canada, 2007/2008 Archived
Articles and reports: 85-002-X200900410932
Geography: Canada
Description:
This report is based on data from the 2007/2008 Victim Services Survey and provides a profile of victim service agencies in Canada that responded to the survey, as well as information on the clients they served. In reference to 2007/2008, the report presents data on the types of agencies in Canada, the services offered, staff and volunteers, and criminal injuries compensation applications and awards. Characteristics of clients, such as sex, age grouping and type of victimization, are based on counts of clients served on a snapshot day of May 28, 2008. The 2007/2008 Victim Services Survey was conducted by the Canadian Centre for Justice Statistics and was funded by Justice Canada's Policy Centre for Victim Issues. Victim service agencies surveyed include system-based, police-based and court-based agencies, sexual assault centres, other selected community-based agencies, and criminal injuries compensation and other financial benefit programs for victims of crime.
Release date: 2009-10-28
32. Preliminary 2011 Census Metropolitan Area and Census Agglomeration Delineation Archived
Articles and reports: 92F0138M2009002
Description:
This working paper describes the preliminary 2011 census metropolitan areas and census agglomerations and is presented for user feedback. The paper briefly describes the factors that have resulted in changes to some of the census metropolitan areas and census agglomerations and includes tables and maps that list and illustrate these changes to their limits and to the component census subdivisions.
Release date: 2009-08-26
33. Pseudo empirical likelihood inference for multiple surveys and multiple-frame surveys Archived
Articles and reports: 11-536-X200900110806
Description:
Recent work using a pseudo empirical likelihood (EL) method for finite population inferences with complex survey data focused primarily on a single survey sample, non-stratified or stratified, with considerable effort devoted to computational procedures. In this talk we present a pseudo empirical likelihood approach to inference from multiple surveys and multiple-frame surveys, two commonly encountered problems in survey practice. We show that inferences about the common parameter of interest and the effective use of various types of auxiliary information can be conveniently carried out through the constrained maximization of joint pseudo EL function. We obtain asymptotic results which are used for constructing the pseudo EL ratio confidence intervals, either using a chi-square approximation or a bootstrap calibration. All related computational problems can be handled using existing algorithms on stratified sampling after suitable re-formulation.
Release date: 2009-08-11
34. Variance estimation under composite imputation using an imputation model Archived
Articles and reports: 11-536-X200900110811
Description:
Composite imputation is often used in business surveys. It occurs when several imputation methods are used to impute a single variable of interest. The choice of one method instead of another depends on the availability or not of some auxiliary variables. For instance, ratio imputation could be used to impute a missing value when an auxiliary variable is available and, otherwise, mean imputation could be used.
Although composite imputation is frequent in practice, the literature on variance estimation when composite imputation is used is limited. We consider the general methodology proposed by Särndal et al. (1992), which requires the validity of an imputation model i.e., a model for the variable being imputed. At first glance, the extension of this methodology to composite imputation seems quite tedious until we notice that most imputation methods used in practice lead to imputed estimators that are linear in the observed values of the variable of interest. This considerably simplifies the derivation of a variance estimator even when there is a single imputation method. Regarding the estimation of the sampling portion of the total variance, we use a methodology slightly different than the one proposed by Särndal et al. (1992). Our methodology is similar to the sampling variance estimator under multiple imputation with an infinite number of imputations.
This methodology is the central part of version 2.0 of the System for Estimation of Variance due to Nonresponse and Imputation (SEVANI), which is being developed at Statistics Canada. Using SEVANI, we will illustrate our method through an example based on real data.
Release date: 2009-08-11
35. The calibration approach in survey theory and practice Archived
Articles and reports: 11-536-X200900110814
Description:
Calibration is the principal theme in many recent articles on estimation in survey sampling. Words such as "calibration approach" and "calibration estimators" are frequently used. As article authors like to point out, calibration provides a systematic way to incorporate auxiliary information in the procedure.
Calibration has established itself as an important methodological instrument in large-scale production of statistics. Several national statistical agencies have developed software designed to compute weights, usually calibrated to auxiliary information available in administrative registers and other accurate sources.
This paper presents a review of the calibration approach, with an emphasis on progress achieved in the past decade or so. The literature on calibration is growing rapidly; selected issues are discussed in this paper.
The paper starts with a definition of the calibration approach. Its important features are reviewed. The calibration approach is contrasted with (generalized) regression estimation, which is an alternative but different way to take auxiliary information into account. The computational aspects of calibration are discussed, including methods for avoiding extreme weights. In the early sections of the paper, simple applications of calibration are examined: Estimation of a population total in direct, single phase sampling. Generalization to more complex parameters and more complex sampling designs are then considered. A common feature of more complex designs (sampling in two or more phases or stages) is that the available auxiliary information may consist of several components or layers. The uses of calibration in such cases of composite information are reviewed. In later sections of the paper, some examples are given to illustrate how the results of the calibration thinking may contrast with answers given by earlier established approaches. Finally, applications of calibration in the presence of nonsampling error are discussed, in particular methods for nonresponse bias adjustment.
Release date: 2009-08-11
36. Workshop on Calibration and Estimation in Surveys: Proceedings
Articles and reports: 11-536-X
Description:
On October 31 and November 1, 2007, Statistics Canada held a special methodology conference in honour of Professor Carl-Erik Särndal entitled Workshop on Calibration and Estimation in Surveys (WCES). The workshop focused on diverse aspects of Professor Särndal's career - his work, teachings and writings having had a profound affect on the way methodologists carry out their daily duties, both here and abroad. He was a consultant to Statistics Canada for many years and is a member of the Advisory Committee on Statistical Methods. Professor Särndal's deep and lasting influence in this field earned him the 2007 Waksberg Award, one of the most prestigious honours a statistician can receive in recognition of his or her work in survey sampling statistics.
Release date: 2009-08-11
37. Agricultural Water Use Survey 2007, Methodology Report Archived
Surveys and statistical programs – Documentation: 16-001-M2009008
Description:
In 2008, Statistics Canada conducted the first Agricultural Water Use Survey. This pilot survey is part of the Canadian Environment Sustainability Indicators initiative and collects information on volumes of water used for irrigation, irrigated areas, irrigation practices and the quality of water used for agricultural purposes. This technical paper describes the methodology used for the pilot survey and includes recommendations for future cycles of the survey. The validation process seems to indicate that the method used to estimate the volumes of water used and the irrigated areas calculated underestimates the results. The report gives recommendations to minimize this bias in the next iterations of the survey. First, it is recommended to simplify the level of information collected by the survey; to review the sampling methodology; and to examine other means of collecting information on volumes of water used for irrigation. This pilot version of the survey remains a reliable source for consistent data on agricultural water use.
Release date: 2009-06-26
38. Measuring renewable water assets in Canada: Initial results and research agenda Archived
Articles and reports: 16-002-X200900210889
Geography: Canada
Description:
Canada's renewable water resources are mostly the result of rain and melted snow that flow over the ground, eventually reaching our rivers and lakes. This article describes the results of a new methodology producing consistent national estimates of Canada's total annual average water yield from 1971 to 2000.

Release date: 2009-06-18
39. The Water Yield for Canada As a Thirty-year Average (1971 to 2000): Concepts, Methodology and Initial Results Archived
Surveys and statistical programs – Documentation: 16-001-M2009007
Description:
In this paper, we present the methodology developed by Statistics Canada to calculate the average annual water yield for Canada. Water yield, for the purposes of this paper, is defined as the amount of freshwater derived from unregulated flow (m³ s^-1) measurements for a given geographic area over a defined period of time. The methodology is applied to the 1971 to 2000 time period.

This research was conducted to fill data gaps in Statistics Canada's water statistics program. These gaps exist because estimates of freshwater flow for Canada have not been calculated regularly and have been produced using a variety of methods that do not necessarily generate comparable results. The methodology developed in this study produced results that are coherent through space and time. These results will be used in the future to investigate changes in water yield on a more disaggregated basis.

To achieve the water yield estimate a database of natural streamflow observations from 1971 to 2000 was compiled. The streamflow values were then converted to a runoff depth and interpolated using ordinary kriging to produce spatial estimates of runoff. The spatial estimates were then scaled to create a National estimate of water yield as a thirty-year average. The methodology and results were then validated using a stability analysis and several techniques involving uncertainty. The result of the methodology indicates that the thirty-year average water yield for Canada is 3435 km³.

Release date: 2009-06-01
40. Multi-year Analytical Plan: 2008/2009 to 2010/2011 Archived
Surveys and statistical programs – Documentation: 82-622-X2008003
Description:
Since 2007/2008, Statistics Canada has centred analysis of data holdings related to health as well as our program of dissemination of health research within the new Health Information and Research Division (HIRD).
The new division has launched a comprehensive approach to analytical planning including environmental scanning and consultation; establishment of strategic multi-year priorities for health research at Statistics Canada; a process of project selection and review that ensures that analytical effort addresses our priorities; metrics to measure our adherence to priorities and the impact of our analytical effort; and communication and dissemination of analytical plans.
This multi-year analytical plan identifies the key high-level priority areas for Statistics Canada's investment in health research for 2008/2009 to 2010/2011, and serves as a blueprint for subsequent operational research planning.
Release date: 2009-01-30

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Analysis (33)

Analysis (33) (30 to 40 of 33 results)

31. The calibration approach in survey theory and practice Archived
Articles and reports: 11-536-X200900110814
Description:
Calibration is the principal theme in many recent articles on estimation in survey sampling. Words such as "calibration approach" and "calibration estimators" are frequently used. As article authors like to point out, calibration provides a systematic way to incorporate auxiliary information in the procedure.
Calibration has established itself as an important methodological instrument in large-scale production of statistics. Several national statistical agencies have developed software designed to compute weights, usually calibrated to auxiliary information available in administrative registers and other accurate sources.
This paper presents a review of the calibration approach, with an emphasis on progress achieved in the past decade or so. The literature on calibration is growing rapidly; selected issues are discussed in this paper.
The paper starts with a definition of the calibration approach. Its important features are reviewed. The calibration approach is contrasted with (generalized) regression estimation, which is an alternative but different way to take auxiliary information into account. The computational aspects of calibration are discussed, including methods for avoiding extreme weights. In the early sections of the paper, simple applications of calibration are examined: Estimation of a population total in direct, single phase sampling. Generalization to more complex parameters and more complex sampling designs are then considered. A common feature of more complex designs (sampling in two or more phases or stages) is that the available auxiliary information may consist of several components or layers. The uses of calibration in such cases of composite information are reviewed. In later sections of the paper, some examples are given to illustrate how the results of the calibration thinking may contrast with answers given by earlier established approaches. Finally, applications of calibration in the presence of nonsampling error are discussed, in particular methods for nonresponse bias adjustment.
Release date: 2009-08-11
32. Workshop on Calibration and Estimation in Surveys: Proceedings
Articles and reports: 11-536-X
Description:
On October 31 and November 1, 2007, Statistics Canada held a special methodology conference in honour of Professor Carl-Erik Särndal entitled Workshop on Calibration and Estimation in Surveys (WCES). The workshop focused on diverse aspects of Professor Särndal's career - his work, teachings and writings having had a profound affect on the way methodologists carry out their daily duties, both here and abroad. He was a consultant to Statistics Canada for many years and is a member of the Advisory Committee on Statistical Methods. Professor Särndal's deep and lasting influence in this field earned him the 2007 Waksberg Award, one of the most prestigious honours a statistician can receive in recognition of his or her work in survey sampling statistics.
Release date: 2009-08-11
33. Measuring renewable water assets in Canada: Initial results and research agenda Archived
Articles and reports: 16-002-X200900210889
Geography: Canada
Description:
Canada's renewable water resources are mostly the result of rain and melted snow that flow over the ground, eventually reaching our rivers and lakes. This article describes the results of a new methodology producing consistent national estimates of Canada's total annual average water yield from 1971 to 2000.

Release date: 2009-06-18

Reference (9)

Reference (9) ((9 results))

1. User Guide for the Survey of Household Spending, 2008 Archived
Surveys and statistical programs – Documentation: 62F0026M2009002
Geography: Province or territory
Description:
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. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).
Release date: 2009-12-18
2. New projection methodology for purchasing power parities Archived
Surveys and statistical programs – Documentation: 13-605-X200900211057
Description:
With the latest release of the bilateral Purchasing Power Parities estimates for Canada and the U.S., an improved projection methodology for the non-benchmark year has been employed. This note summarizes the new methodology and its rationale.
Release date: 2009-12-10
3. Real Import and Export Adjustments to Account for Exchange Rate Fluctuations Archived
Surveys and statistical programs – Documentation: 13-604-M2009062
Description:
Statistics Canada produces monthly import and export merchandise trade price indexes. For the majority of these prices, Statistics Canada uses a variety of proxy measures to derive the price index in lieu of collecting observed import and export prices. The ability of these proxy measures to reflect international trade price movements during times of exchange rate volatility is limited. For this reason, the constant dollar trade estimates derived using these proxy price indexes have been refined with constant dollar adjustments following the appreciation of the Canadian exchange rate beginning at the end of 2002. This paper explains the rational and methodology behind these adjustments, as well as the impact on published trade and GDP estimates.
Release date: 2009-12-04
4. Evaluation of the Strengths and Difficulties Questionnaire Archived
Surveys and statistical programs – Documentation: 89-634-X2009008
Geography: Canada
Description:
The Strengths and Difficulties Questionnaire (SDQ) is a parent-reported instrument designed to provide information on children's behaviours and relationships. The SDQ consists of 25 items which are grouped into five subscales: (1) pro-social, (2) inattention-hyperactivity, (3) emotional symptoms, (4) conduct problems, and (5) peer problems. The SDQ was used to provide information on children aged 2 to 5 years in the 2006 Aboriginal Children's Survey (ACS). Though validated on general populations, the constructs of the SDQ have not been validated for off-reserve First Nations, Métis and Inuit children in Canada. The first objective of this evaluation is to examine if the five subscales of the SDQ demonstrate construct validity and reliability for off-reserve First Nations, Métis and Inuit children. The second objective is to examine if an alternative set of subscales, using the 25 SDQ items, may be more valid and reliable for off-reserve First Nations, Métis and Inuit children.
Release date: 2009-11-25
5. Agricultural Water Use Survey 2007, Methodology Report Archived
Surveys and statistical programs – Documentation: 16-001-M2009008
Description:
In 2008, Statistics Canada conducted the first Agricultural Water Use Survey. This pilot survey is part of the Canadian Environment Sustainability Indicators initiative and collects information on volumes of water used for irrigation, irrigated areas, irrigation practices and the quality of water used for agricultural purposes. This technical paper describes the methodology used for the pilot survey and includes recommendations for future cycles of the survey. The validation process seems to indicate that the method used to estimate the volumes of water used and the irrigated areas calculated underestimates the results. The report gives recommendations to minimize this bias in the next iterations of the survey. First, it is recommended to simplify the level of information collected by the survey; to review the sampling methodology; and to examine other means of collecting information on volumes of water used for irrigation. This pilot version of the survey remains a reliable source for consistent data on agricultural water use.
Release date: 2009-06-26
6. The Water Yield for Canada As a Thirty-year Average (1971 to 2000): Concepts, Methodology and Initial Results Archived
Surveys and statistical programs – Documentation: 16-001-M2009007
Description:
In this paper, we present the methodology developed by Statistics Canada to calculate the average annual water yield for Canada. Water yield, for the purposes of this paper, is defined as the amount of freshwater derived from unregulated flow (m³ s^-1) measurements for a given geographic area over a defined period of time. The methodology is applied to the 1971 to 2000 time period.

This research was conducted to fill data gaps in Statistics Canada's water statistics program. These gaps exist because estimates of freshwater flow for Canada have not been calculated regularly and have been produced using a variety of methods that do not necessarily generate comparable results. The methodology developed in this study produced results that are coherent through space and time. These results will be used in the future to investigate changes in water yield on a more disaggregated basis.

To achieve the water yield estimate a database of natural streamflow observations from 1971 to 2000 was compiled. The streamflow values were then converted to a runoff depth and interpolated using ordinary kriging to produce spatial estimates of runoff. The spatial estimates were then scaled to create a National estimate of water yield as a thirty-year average. The methodology and results were then validated using a stability analysis and several techniques involving uncertainty. The result of the methodology indicates that the thirty-year average water yield for Canada is 3435 km³.

Release date: 2009-06-01
7. Multi-year Analytical Plan: 2008/2009 to 2010/2011 Archived
Surveys and statistical programs – Documentation: 82-622-X2008003
Description:
Since 2007/2008, Statistics Canada has centred analysis of data holdings related to health as well as our program of dissemination of health research within the new Health Information and Research Division (HIRD).
The new division has launched a comprehensive approach to analytical planning including environmental scanning and consultation; establishment of strategic multi-year priorities for health research at Statistics Canada; a process of project selection and review that ensures that analytical effort addresses our priorities; metrics to measure our adherence to priorities and the impact of our analytical effort; and communication and dissemination of analytical plans.
This multi-year analytical plan identifies the key high-level priority areas for Statistics Canada's investment in health research for 2008/2009 to 2010/2011, and serves as a blueprint for subsequent operational research planning.
Release date: 2009-01-30
8. Concepts and Methods Guide Archived
Surveys and statistical programs – Documentation: 89-637-X2008003
Geography: Canada
Description:
This guide is intended to help data users understand the concepts and methods used in the 2006 Aboriginal Peoples Survey (APS), which was conducted from October 2006 to March 2007.
Technical details on sampling, processing and data quality are included in this guide. Further, the guide explains the relationship between the APS and the 2006 Census and cautions users as to important differences in the data produced from these two sources. Appendix 1 provides a list of communities for which data are available while Appendix 2 contains a glossary of terms that relate to the APS. Answers to some frequently asked questions are provided in Appendix 3. Links to the 2006 APS questionnaires are found in Appendix 4.
Release date: 2009-01-16
9. Feasibility Study on the Use of Provincial/Territorial Medicare Records for Measuring the Level of Inter-provincial and Inter-territorial Migration Archived
Surveys and statistical programs – Documentation: 91F0015M2008010
Geography: Canada
Description:
The objective of this study is to examine the feasibility of using provincial and territorial health care files of new registrants as an independent measure of preliminary inter-provincial and inter-territorial migration. The study aims at measuring the conceptual and quantifiable differences between this data source and our present source of the Canada Revenue Agency's Canadian Child Tax Benefit.
Criteria were established to assess the quality and appropriateness of these provincial/territorial health care records as a proxy for our migration estimates: coverage, consistency, timeliness, reliability, level of detail, uniformity and accuracy.
Based on the present analysis, the paper finds that these data do not ameliorate the estimates and would not be suitable at this time as a measure of inter-provincial/territorial migration. These Medicare data though are an important independent data source that can be used for quality evaluation.
Release date: 2009-01-13

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Date modified:: 2024-04-16