Statistics Canada
Symbol of the Government of Canada

Theory and Application of Longitudinal Surveys (Course code 0411)

Purpose

To introduce the participants to the basic concepts of longitudinal surveys, to acquire the ability to plan, develop and evaluate panel surveys, to learn estimation and analysis techniques to exploit longitudinal data.

Benefits to the Participants

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

Target Population

Employees with a good background in statistics and with some training in sampling who wish to increase their knowledge in the sector of longitudinal surveys.

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

Good background in statistics, and particularly in sampling.

Duration: 4 days