Learn how to handle and analyse longitudinal quantitative data

This two-day course provides participants with a thorough understanding of the structure, properties and uses of quantitative longitudinal survey datasets, as well the skills to confidently manage and analyse these. It combines comprehensive explanations with hands-on practical sessions using Stata software and data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. crowd in shape of Australia

Topics covered

  • Longitudinal data - structure and management
  • Exploratory longitudinal data analysis
  • Panel regression - Pooled OLS, fixed-effect, random-effect and hybrid models
  • Model choice for longitudinal data
  • Presentation of results for longitudinal data

Learning objectives

  • Understand the advantages of using longitudinal data for research and decision-making
  • Manage longitudinal datasets and prepare these for statistical analysis
  • Perform exploratory and descriptive panel data analyses
  • Understand the different approaches that can be used to model multivariate relationships with longitudinal data (e.g., fixed-effect and random-effect regression models)
  • Determine which modelling approach is most appropriate for different types of research questions
  • Effectively present longitudinal data analyses results to technical and non-technical audiences

Who is this course for

Analysts and researchers in government, private organisations and universities who want to develop their skills in the analysis and interpretation of longitudinal data.


  • Working knowledge of ordinary least squares (OLS) regression techniques.
  • Stata® software experience is desirable but not necessary.

Course dates and fees

For Custom and group courses (10 participants or more) - Email us to discuss.
By registering to attend this course you are agreeing to our terms and conditions.

Monday, 16 May - Tuesday, 17 May 2022

Monday, 31 October - Tuesday, 1 November 2022

FACE TO FACE DELIVERY at ISSR, Long Pocket Precinct
(Fees include GST, course materials and catering) 
$1,079 - Early Bird (book and pay one month out)
$1,300 - After Early Bird discount expires
$1,040 - Groups (3 or more, price per person)
​$910 - UQ Students
$975 - Students (other than UQ)

Book May course (face to face)

Book October course (face to face)


    Dr Peter RankinDr Peter Rankin is a postdoctoral research fellow working within the Early Development, Education, and Care group at ISSR. He has a broad range of applied statistical expertise encompassing Frequentist and Bayesian techniques. His current focus is on longitudinal and multilevel modelling, psychometric techniques for measurement, and compelling visualisations of complex data. Peter is also competent in structural equation modelling, machine learning, and econometric techniques. Importantly, he can work with, communicate between, and translate for different disciplines and statistical skill levels. 

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    Xenia Aitken-Smith | Business Development Coordinator


    +61 7 3443 1019

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