The first aim of this research is to use a new data source (HILDA data set) to more precisely model and compare the characteristics, diversity and labour market outcomes of those who have been involved in the VET system and those seemingly excluded from VET.
The second aim is to explore through in-depth qualitative case study analysis three localized community group/VET initiatives to identify the potential and actual contribution of innovative community based initiatives aimed at improving VET participation amongst marginalized groups such as 'at risk' youth and long-term unemployed.
1. To what extent do a range of factors including, household structure, income, educational level, labour market status, age, gender, and ethnicity impact on participation and exclusion from the VET system?
2. How are labour market outcomes influenced by participation and exclusion from VET. Within broad target groups, what are the characteristics of sub-groups that are currently excluded from the VET system?
3. What barriers to participating in VET faced were faced by individuals in local community group/VET based initiatives? 4. What role can innovative community and VET based initiatives play in improving participation in VET?
In the quantitative component of this research, logistic regression modeling will be used to analyse key relationships in the HILDA data sources. In the qualitative phase, case studies will be conducted of community group/VET based initiatives.
ACIRRT has a well-established track record in the completion of research projects to the highest standard. In addition to the completion of projects in the areas of labour market analysis, industrial relations and policy research ACIRRT has completed several major projects in the field of VET, skills development and training generally. This research has been distinguished by a strong emphasis on empirical analysis, methodological rigour and policy relevance.
