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This report summarises research which has attempted to identify the
key demographic and life-stage factors which impact on successful completion
of vocational education and training (VET) subjects.
While a number of different indicators are required to gauge the performance
of the VET system, this study was concerned only with the issue of passing
and the identification of student characteristics which influence the
chances of passing.
The aims of this research were:
- to identify the key demographic and life-stage factors influencing
the likelihood of students passing a VET subject
- to determine the underlying profile of those students most likely
to pass and those least likely to pass
- to suggest potential student segments for future performance reporting.
The scope of the analysis was all enrolled and assessed VET subjects
during 2000 which resulted in a pass or fail outcome. Analysis was carried
out at the subject level rather than the course level, because not all
subject enrolments coincide with a course enrolment and a large number
of students enrol in a single, or small number of VET subjects with no
intention of ever completing a full qualification.
Initial 'decision tree' analysis identified several key demographic
and life-stage characteristics influencing a student's chance of passing.
These are:
- residential location
- educational achievement
- employment status at the time of enrolment
- age at the time of enrolment
- sex
- whether the student comes from a non-English speaking background
- whether the student is Indigenous
- whether the student has a reported disability.
Statistical analysis, using logistic regression, was undertaken to model
the influence of these characteristics on the likelihood of an individual
student passing an assessed subject.
The results indicate that passing vocational education and training
subjects is influenced by these demographic factors. In particular, the
likelihood of passing is significantly reduced for people who are Indigenous,
have a disability, are of non-English speaking background, are unemployed,
or are aged 19 years and less. There is also strong evidence that the
unemployed and the young are important student groups in relation to
having a lower likelihood of success.
Overlap within major equity groups is also important. The likelihood
of passing is significantly reduced for students who are a combination
of Indigenous, disabled, of non-English speaking background, unemployed,
or young-particularly if aged 19 years or less. Of interest is that,
regardless of which group they belong to, female students consistently
show equal or higher likelihood of passing than their male counterparts.
Finally, the results suggest future performance reports should consider
segmenting the student population according to a mix of a student age,
employment status, and their previous educational achievement.
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