Survey Methods
Survey methods underpin the work we conduct at the Institute for Social Science Research. This video describes the ways in which survey data is collected and analysed, and how data collected over a long period of time can be used to answer important social and policy-relevant questions.
View examples of our featured projects exemplifying ISSR's strengths:
Evaluation of the National Community Awareness Raising (NCAR) Strategy and the Building Capacity in Australian parents (BCAP) trial
Client: Australian Department of Social Services
Lead: Professor Karen Thorpe
Term: 2018 - 2020
Generational and developmental pathways of childhood and adolescent obesity: A three generation cohort study
Client: National Health and Medical Research Council
Lead: Associate Professor Abdullah Mamun
Term: 2015 - 2019
Learn how to handle and analyse longitudinal quantitative data
The two-day MFSAS Introduction to Longitudinal Data Analysis and Panel Regression Models 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.
Learn skills to analyse change over time
MFSAS Modelling change and event occurrence (2 days) 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).
Deepen your specialist knowledge of longitudinal approaches
This five-day intensive MFSAS Longitudinal Data Analysis 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.