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.
This report investigates attrition in the trades by comparing the rate at which tradespeople leave their occupation with that of professionals. It also determines whether attrition is influenced by economic conditions, and if a trade can provide a good start to a career in the professions. The report concludes that attrition in the trades is no higher than in the professions; the rate of leaving particular occupations may vary, but overall the results between the two are very similar. The economic climate also makes little difference to the attrition rate.
Research in the social sciences is routinely affected by missing data. Not addressing missing data appropriately may yield research findings that are either 'slightly off' or 'plain wrong'. This study demonstrates why and how frequently used simple remedies for missing data can impact on research results. The authors provide the target audience (i.e. producers and consumers of social science research) with a step-by-step guide on how to implement multiple imputation, which is the standard method for dealing with missing data. They encourage researchers to carefully consider the potential impact of incomplete information and to use modern missing data methods whenever possible in their own work.
This paper investigates what might be the vocational equivalent to completing senior secondary school. Three dimensions are considered: volume of learning, educational complexity and labour market, and other outcomes at age 25 (the last based on the Longitudinal Surveys of Australian Youth). The report finds that no vocational pathway can be considered to be equivalent to Year 12 in a literal sense; vocational pathways form an alternative to Year 12 but are not equivalent.
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.
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.