Learn skills to analyse change over time

This course introduces participants to methods for analysing individual change over time and event occurrence. Theoretical material is combined with examples of applied research using these methods as well as hands-on sessions using Stata software and data from the Longitudinal Study of Australian Children (LSAC).  

Topics covered 

  • Modelling trajectories of individual change over time
  • Simultaneous modelling of change in multiple outcomes
  • Methods to account for drop-out from longitudinal studies
  • Identifying groups of individuals with similar patterns of change over time
  • Models for event-occurrence or time to event outcomes

Learning objectives

  • Gain familiarity with multi-level approaches to modelling change over time
  • Understand a range of models for change over time and what research questions each can be used to address
  • Understand unique features of event history data and how to account for them in modelling
  • Interpret research findings derived from models for change and event occurrence
  • Clearly communicate results from analyses of change over time and event occurrence
  • Apply models for change over time and event occurrence in Stata software

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.

Prerequisites

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

Course dates

Wednesday, 2 June - Thursday, 3 June 2021, 9am - 5pm

For Custom and Group courses (10 participants or more) - Email us to discuss

Fees (incl. GST)

$1,386 - Early Bird (book and pay one month out)
$1,672 - After Early Bird discount expires
$1,338 - Groups (3 or more, price per person)
$1,254 - Students
(Fees include course materials and full-day catering)

By registering to attend this course you are agreeing to our terms and conditions.

    Presenter

    Dr Martin O'FlahertyDr Martin O'Flaherty is an experienced sociologist and one of ISSR’s key researchers in life course analysis and family dynamics. Martin is an ISSR Research Fellow in Family Dynamics within the ARC Centre of Excellence for Children and Families across the Life Course (the Life Course Centre) and an exceptional emerging sociologist who has already been published in the top-tier journal Demography.  Martin’s recent research investigates longitudinal patterns of time-use among Australian children, background factors (such as class and family structure) that predict time-use patterns, and associations between child time-use and developmental, achievement, and health outcomes in adolescence. He is also aiming to identify health, labour market, and other consequences of different fertility timings. Martin has extensive high level experience in quantitative analysis and data collection, and substantial experience managing large projects including diverse stakeholder groups.