This course is designed for data analysts and researchers in government, universities, large organisations with research interests, and specialist research firms.

Very large crowd in shape of upward arrow with people aboveThis five-day intensive course has been specifically designed to deepen the specialist knowledge of your research teams and enhance the quality and meaning of the data you use when making crucial business decisions. It incorporates several modules from across MFSAS streams, and delves more deeply into topics that are pivotal for organisations that use longitudinal data for research and decision-making. The course uses data from the Household, Income and Labour Dynamics in Australia (HILDA) longitudinal survey, and the Longitudinal Survey of Australian Children (LSAC). 

Next course: Monday 10 December to Friday 14 December 2018 (5 days)

Fees:

          $3800 (excl. GST) 
          $3150 (excl. GST) Early Bird discount (book and pay by 9 November 2018 )
          $3040 (excl. GST) Groups (3 or more)
          $2850 (excl. GST) Students

At the end of this short course, participants should be able to:

  • Understand the advantages of using longitudinal data for research and decision-making.
  • Manage longitudinal datasets and prepare these for statistical analysis.
  • Understand the different approaches that can be used to model multivariate relationships with longitudinal data (e.g. fixed and random effects regression models).
  • Recognise hierarchical data and the relevance of multilevel models.
  • Understand how multilevel models can be used to analyse variation and trends in growth over time with longitudinal data.
  • Understand how to model duration until an event occurs, using event history analysis.
  • Determine which modelling approach is most appropriate for different types of research questions.
  • Effectively present the results of longitudinal data analyses to non-technical audiences.

Prerequisites:

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

Presenter: Dr Francisco (Paco) Perales is a sociologist with rigorous expertise in longitudinal research methods. His research uses a life course approach to better understand gender-based Dr Paco Peralessocioeconomic inequality, subjective wellbeing, quality of life, social disadvantage, migration, and careers.  He has methodological expertise in advanced quantitative research methods, and conducting econometric analysis of cross-sectional and longitudinal large-scale social surveys. Paco teaches longitudinal data analysis, multi-level modelling and quantitative research skills in undergraduate programs at the University of Queensland, and supervises students at the Honours and PhD level. 

Presenter: Dr Martin O'Flaherty is an experienced sociologist and one of ISSR’s key researchers in life Dr Martin O'Flahertycourse 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.

Course dates: Monday 10 December to Friday 14 December 2018 (5 days)

Course location: Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly

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