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Purpose

To provide an understanding of the basic concepts, and practices of questionnaire design for the collection of useful and meaningful data.

Benefits to participants

Participants will explore the essential steps to designing a questionnaire from data needs to qualitative testing to a final product, the questionnaire.

Target population

Employees who are designing questionnaires occasionally or for the first time will learn the fundamental and essential principles of good questionnaire design. Those with more experience will find the workshop to be a valuable refresher as well as a source of new ideas and methods.

Course outline

• Development of questionnaires
• Data collection modes (self-complete vs. interviewer-administered, paper vs. electronic)
• Question structure
• Question wording
• Sequencing of questions
• Questionnaire layout
• Questionnaire review and testing
• Designing and testing your own questionnaire

Delivery type: Virtual instructor-led

Duration: 3 Days

Contact:
If you have questions or to register to the course, contact us at statcan.msmdsstatstraining-msmsdformationstats.statcan@statcan.gc.ca.

Purpose

Allow participants to learn the various types of surveys repeated over time, while underlying the particularities of each. This is accomplished by visiting all survey steps.

Using that approach, methodological issues raised from the early steps such as sampling frame and selection, to later steps such as estimation and analysis, are examined.

Benefits to the participants

Participants will be able to apply the concepts and techniques in their work.

Target population

Employees with basic knowledge of mathematical statistics and of sampling, and who wish to increase their knowledge of the various methodological issues relative to surveys repeated over time.

Course outline

Introduction

• Motivations
• Basic concepts and definitions
• Advantages
• Disadvantages

Longitudinality and sample designs

• Typical sample designs
• Design parameters
• Longitudinal units
  • Social surveys
  • Business surveys
• Use of registers and other frames
  • Business surveys
  • Social surveys
  • Frame updating process
• Sample selection
  • Social panels
  • Business panels
• Conversion to panels of existing surveys
• Questionnaire design
• Data collection
  • Collection modes
  • Dependent interview
  • Rules concerning respondents
  • Tracing
  • Incentives
  • Electronic data reporting
• Types and causes of nonresponse
• Quality assurance
• Confidentiality

Weighting and estimation

• Basic weighting
  • Longitudinal weighting
  • Cross-sectional weighting
• Treatment of nonresponse
  • Types of nonresponse
  • Response rate in general
  • Longitudinal response rate
  • Cross-sectional response rate
  • Creation of response homogeneity groups
• Imputation
• Calibration (poststratification)
  • Basic poststratification
  • Longitudinal poststratification
  • Cross-sectional poststratification
  • Integrated weight (in social surveys)
• Descriptive longitudinal statistics
• Variance calculation
  • Jackknife
  • Bootstrap

Longitudinal data analysis

• Multiple regression
• Survival analysis

Applications

• National Population Health Survey (NPHS)
• Survey of Labour and Income Dynamics (SLID)

Longitudinal surveys of the world

Conclusion

• Summary
• New needs from users

References

Notation

Prerequisite

Basic knowledge of mathematical statistics and sampling. Since some hands-on work will require handling datasets, knowledge of the SAS software program is desirable but not a necessity.

Duration: 4 days

Purpose

To provide a basic understanding of practical sampling. Sampling methods and principles of are covered with a minimum of formulas and technicalities. The course focuses on the various methods, with their advantages and disadvantages.

Benefits to the participants

Participants will become familiar with the principles and basic methods of sampling, with emphasis on the application to Statistics Canada surveys.

Target population

Employees with little training in statistics who wish to acquire a basic knowledge of sampling and who have not taken course Survey Skills Development Course (STC0405).

Course outline

Population, units, sampling frame, probabilities, censuses and sample surveys, sources of error, precision, accuracy, simple random sampling, stratification, systematic sampling, sampling with probability proportional to size, cluster sampling, multistage and multiphase sampling, estimation, sample size, non-probability sampling.

Duration

3 days

Purpose

To familiarize participants with sampling methods and their application.

Benefits to participants

Participants will gain an understanding of the Statistical Sampling Theory.

Target population

Employees who have to develop and implement complex sampling plans in their work and wish to get an advanced knowledge of sampling theory.

Course outline

• Classical statistics vs. finite population inference
• Sampling designs, inclusion probabilities
• Horvitz-Thompson estimator and its properties
• Monte Carlo simulations
• Stratification, sample allocation, construction of strata, introduction to GSAM
• Inclusion probability proportional to size sampling, high entropy sampling designs
• Balanced sampling, the Cube algorithm
• Estimation of complex parameters, Taylor linearization procedures
• Ratio estimator, post-stratified estimator, raking ratio estimator, difference estimator, generalized regression estimator
• Multistage sampling
• Two-phase sampling
• Model-based inference

Prerequisite

Advanced knowledge of mathematical statistics and basic knowledge in sampling theory.

Delivery type: Virtual instructor-led

Duration: 21 days (2hrs per sessions for 10 weeks)

Contact:
If you have questions or to register to the course, contact us at statcan.msmdsstatstraining-msmsdformationstats.statcan@statcan.gc.ca

Purpose

To provide an operational overview of the methods of quality control.

Benefits to participants

This course in an excerpt of the “Statistical Methods for Quality Control” STC#0446, where most of the theoretical aspects have been removed. The focus of this course is to discuss the practical methods of quality control that are available for survey operations within a broader framework of quality assurance and management. Statistical and non-statistical methods for quality control and assurance will be discussed. This will include planning, acceptance sampling, acceptance control, process control, as well as various quality tools for achieving quality improvements. The course will involve the practical application of concepts through the use of case studies and group workshops each day.

Target population

Professional and technical employees who wish to have an operational overview of the methods and concepts of quality control available for survey operations without the emphasis of theoretical foundations.

People wishing for a more theoretical introduction to quality control should refer to the course "Statistical Methods for Quality Control" STC#0446.

Course outline

• Planning for Quality
• Principles of Quality Control
• Acceptance Sampling Techniques
• Statistical Process Control
• Administration of Quality Control
• Quality Improvement Methods & Tools

Duration: 2 days

The data for this variable are reported using the following classification(s) and/or list(s):

• Common law status

'Common law status' refers to whether the person aged 15 or over is living with a person of the opposite sex or of the same sex as a couple but is not legally married to that person. It includes situations where the members of such a couple are living apart temporarily because of illness, work or school.

'Person 15 years or over' refers to all individuals whose age is 15 years or over.

The data for this variable are reported using the following classification(s) and/or list(s):

• Legal marital status

'Legal marital status' refers to the marital status of the person under the law (e.g., single, married, widowed). All persons aged less than 15 are considered as single.

Note: In the 2011 National Household Survey, the phrase "including living common law" was not used. "Single (including living common law)" was called "Single (never legally married)". "Separated (including living common law)" was called "Separated, but not legally married".

'Person' refers to an individual and is the unit of analysis for most social statistics programmes.

Table B shows CD types, their abbreviated forms, and their distribution by province and territory.

Table C shows CSD types, their abbreviated forms, and their distribution by province and territory.

Table D provides the standard abbreviations and titles for all CD and CSD types for English, French and bilingual publications respectively.

Table E provides the standard abbreviations and titles for all CD and CSD types for English, French and bilingual publications respectively.

Table H presents the number of census subdivision changes by type and by province and territory.