Australia's national VET data custodian

Publications

1 – 8 of 8 results
Linking NAPLAN scores to LSAY

By Davinia Blomberg, Marilyn Lumsden, Patrick Lim, Ronnie Semo

This report looks at whether it is possible to link data from the Longitudinal Surveys of Australian Youth (LSAY) with external data sources to improve the breadth of information available from the survey.

The impact of schools on young people's transition to university

By Sinan Gemici, Patrick Lim, Tom Karmel

This report uses Longitudinal Surveys of Australian Youth (LSAY) data to look at the impact of schools on a student’s tertiary entrance rank (TER) and the probability of them going to university (controlling for TER).

Weighting the LSAY Programme of International Student Assessment cohorts

By Patrick Lim

This technical paper outlines the methodology used to adjust the original Program of International Student Assessment (PISA) weights to ensure that each Longitudinal Surveys of Australian Youth (LSAY) wave represents the original population. The author also provides guidance to researchers in applying the weights to their analysis of LSAY data.

Does combining school and work affect school and post-school outcomes?

By Alison Anlezark, Patrick Lim

In this report the authors seek to answer the question of whether combining school and work is detrimental or beneficial to a student's school educational performance and labour market outcomes. They find that young people who combine school and work are distributed right across the school population. Results show that individuals can combine school and work with minimal impact on their study if the hours are modest and those working longer hours show a stronger orientation towards work than study. The authors used data from the 2003 cohort (Y03) of the Longitudinal Surveys of Australian Youth.

Measuring the socioeconomic status of Australian youth

By Patrick Lim, Sinan Gemici

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.