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Mapping the student journey: the many faces of completion… 22 May 2024
By Michelle Hall

This document provides technical detail and supporting data for the research findings discussed in… Show more

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’. Show less
Evaluating machine learning for projecting completion rates … 19 April 2023
By Michelle Hall, Melinda Lees, Cameron Serich, Richard Hunt

This technical paper summarises exploratory analysis undertaken to evaluate the effectiveness of… Show more

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. Show less
Exploratory analysis of VET market segments 6 April 2022
By Bryan Palmer

This research examined how VET students cluster in the Australian VET market and identified eight… Show more

This research examined how VET students cluster in the Australian VET market and identified eight segments. Show less
Methodological approaches for projecting completion rates… 23 September 2021
By Michelle Hall, Brian Harvey

This technical report provides an evaluation of three alternative methodological approaches for… Show more

This technical report provides an evaluation of three alternative methodological approaches for calculating completion rate projections for apprentices and trainees. Show less
Quarterly reporting of government-funded activity to the… 19 October 2016
By Paul Foley

An analysis of the first year of quarterly collected and reported data on government-funded… Show more

An analysis of the first year of quarterly collected and reported data on government-funded students and courses. Show less
Identifying the causal effects of vocational education and… 28 November 2012
By Thorsten Stromback

This exploratory piece of work aims to illustrate the potential of matching methods in vocational… Show more

This exploratory piece of work aims to illustrate the potential of matching methods in vocational education and training (VET) research. Show less
Measuring the socioeconomic status of Australian youth 20 June 2011
By Patrick Lim, Sinan Gemici

When measuring the socioeconomic status of young people, the authors find that the SocioEconomic… Show more

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 Show less
Individual-based completion rates for apprentices 9 May 2011
By Tom Karmel

Low completion rates for apprentices and trainees have received considerable attention recently and … Show more

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 Show less
Why do the growth rates of students, enrolments and hours… 28 January 2009
By Kevin Mark, Peter Mlotkowski, Tom Karmel

This technical paper examines some large and unusual movements for data in the 2007 VET Provider… Show more

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. Show less

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