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 
****Registrations for this course date are now closed****


Monday, 31 October - Tuesday, 1 November 2022
Face-to-face delivery 
at ISSR, Long Pocket Precinct, 9am - 5pm (AEST)
(Fees include GST, course materials and catering) 
$1,300 - Standard rate
$1,079 - Early Bird (book and pay one month out)
$1,040 - Group rate (3 or more, price per person)
​$910 - UQ Students
$975 - Students (other than UQ)

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. 

    Dr Matthew Curry is a sociologist and research fellow at ISSR. He studies inequality in education and labor market outcomes and intergenerational stratification processes. He has experience with a range of econometric techniques including propensity score methods, event history techniques, and multilevel models. Much of his work uses longitudinal data sets, including large household panel survey, to study parents’ and children’s long-term socioeconomic outcomes.

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    Lucy Bryce | Training Coordinator


    +61 7 3346 7471

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