This technical paper provides details underpinning the new and previous methodologies for calculating completion and attrition rates at three different hierarchical levels: Individuals, apprenticeships, and contracts.
This document provides technical detail and supporting data for the research findings discussed in ‘The student journey in VET: the many faces of completion and non-completion’.
This technical paper summarises exploratory analysis undertaken to evaluate the effectiveness of using machine learning approaches to calculate projected completion rates for VET programs and compares with the current Markov chains methodology used by NCVER.
This research examined how VET students cluster in the Australian VET market and identified eight segments.
This technical report provides an evaluation of three alternative methodological approaches for calculating completion rate projections for apprentices and trainees.
An analysis of the first year of quarterly collected and reported data on government-funded students and courses.
This exploratory piece of work aims to illustrate the potential of matching methods in vocational education and training (VET) research.
When measuring the socioeconomic status of young people, the authors find that the SocioEconomic Indexes for Areas (SEIFA) works well when reporting participation in higher education at aggregate levels, but performs very poorly when classifying individuals. This has policy implications because it means that programs directing resources to increase educational participation for those with low socioeconomic status may be doing so based on incorrect information. The data used come from the 2003 cohort of the Longitudinal Surveys of Australian Youth (LSAY), looking at young people aged 15 to 25 years.
Low completion rates for apprentices and trainees have received considerable attention recently and it has been argued that NCVER seriously understates completion rates. In this paper Tom Karmel uses NCVER data on recommencements to estimate individual-based completion rates. It is estimated that around one-quarter of trade apprentices swap employers during their apprenticeship. Taking this into account, Karmel estimates completion rates for individuals, ranging from 39.2% for the food trades to 64.2% for electrotechnology and telecommunications trades workers. He notes that employer churn is an issue, with the worst occupations being hairdressing and the food trades.
This technical paper examines some large and unusual movements for data in the 2007 VET Provider Collection by comparison with 2006. Changes in the patterns of courses undertaken explain most of the divergence between students, enrolments and hours.