Australia's national VET data custodian

Publications

1 – 4 of 4 results
Performance indicators in the VET sector

By Tom Karmel, Peter Fieger, Davinia Blomberg, Phil Loveder

This discussion paper was part of an event jointly funded by the Australian Council for Educational Research (ACER), Australian Workforce and Productivity Agency (AWPA) and NCVER entitled the National Summit on Data for Quality Improvement in VET held at the Park Royal Hotel, Melbourne Airport, on 9 April 2013. This paper sets out NCVER’s thinking on registered training organisation performance indicators including a discussion of the properties indicators should have and statistical and presentation issues.

The value of completing a VET qualification

By Tom Karmel, Peter Fieger

Using data from the 2009 Student Outcomes Survey, this report looks at the pay-offs of completing of a vocational education and training (VET) qualification on a range of outcomes, and identifies the groups for whom completion is particularly important.

Measuring student satisfaction from the Student Outcomes Survey

By Peter Fieger

The Student Outcomes Survey is an annual national survey of vocational education and training (VET) students. Since 1995, participants have been asked to rate their satisfaction with different aspects of their training, grouped under three main themes: teaching, assessment, and general skills and learning experiences. In this paper we review and compare three different methods of creating summary measures — Rasch analysis, weighted means and simple means — that encapsulate the three main themes of student satisfaction. We find that all three methods yield similar results and so recommend using the simple means method to create the summary measures.

An investigation of TAFE efficiency

By Peter Fieger, Tom Karmel, John Stanwick

Governments are interested in the relative efficiency of institutions, and in addition, information on efficiency can be used by individual institutions to benchmark themselves against their peers. The main factor that was found to affect efficiency, as defined in this paper, was degree of remoteness. Further, institute size is an important factor, with smaller institutes tending to be less efficient. This paper employs a mathematical technique known as Data Envelopment Analysis to examine the efficiency of TAFE institutes.