Sinan Gemici and David D. Curtis
The purpose of this paper is to examine the effectiveness of participation in workplace learning among senior secondary students in Australia. Work placements are deemed to be…
Abstract
Purpose
The purpose of this paper is to examine the effectiveness of participation in workplace learning among senior secondary students in Australia. Work placements are deemed to be effective if they meet policy objectives of improving student transitions by (a) enhancing Year 12 completion rates and (b) increasing the engagement of participants in post‐school work or study. Engagement is defined as full‐time study, full‐time work, some full‐time/part‐time combination, or two simultaneous part‐time engagements (e.g. part‐time work and part‐time study).
Design/methodology/approach
Propensity score matching is used to address selection bias into work placements. After controlling for numerous student background characteristics and creating equivalent comparison groups, we estimate the influence of participation in work placements on Year 12 completion and post‐school engagement.
Findings
It is found that participation in work placements during Year 11 is associated with a 5.2 percent increase in Year 12 completion and a 3.8 percent increase in full‐time engagement one year after the modal Year 12 completion age.
Research limitations/implications
The study is somewhat limited by its moderate sample size (n=880; 440 workplace learning participants matched with 440 comparable non‐participants). Moreover, it seems likely that considerable variation exists in the quality of workplace learning programmes. It would be useful to examine what specific qualitative aspects of work placements produce positive transition outcomes.
Practical implications
The findings suggest potential benefits from increasing participation in work placements during Year 11 for students who undertake vocational education and training in schools (VETiS) and those who are lower‐achieving.
Originality/value
Previous research has questioned the value of VETiS for Year 12 completion, and the overall benefit of Year 12 completion to lower‐achieving students. This paper expands on the extant literature by suggesting that participation in workplace learning may contribute to more successful transition outcomes for lower‐achieving students and those taking VET courses.
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Patrick Lim, Sinan Gemici, John Rice and Tom Karmel
The aim of this paper is to compare the performance of area‐based vs individual‐level measures of socioeconomic status (SES).
Abstract
Purpose
The aim of this paper is to compare the performance of area‐based vs individual‐level measures of socioeconomic status (SES).
Design/methodology/approach
Using data from the longitudinal surveys of Australian youth (LSAY), a multidimensional measure of individual SES is created. This individual measure is used to benchmark the relative usefulness of socio‐economic indexes for areas (SEIFA), a geographic set of measures often used in Australia to assess the SES of individuals. Both measures are compared in terms of classification bias. The effects of using the different SES measures on participation in post‐compulsory education are examined.
Findings
SEIFA measures perform satisfactorily with regard to the aggregate measurement of SES. However, they perform poorly when their use is aimed at channelling resources toward disadvantaged individuals. It is at the individual level that the analysis reveals the shortcomings of area‐based SES measures.
Research limitations/implications
While region based measures are relatively easy to collect and utilise, we suggest that they hide significant SES heterogeneity within regional districts. Hence, the misclassification resulting from the use of regional measures to direct support for low SES groups creates a risk for resource misallocations.
Originality/value
The finding that region‐based measures are subject to significant misclassification has important research and policy implications. Given the increasing availability of individual‐level administrative data, the paper suggests that such data be used as a substitute for geographic SES measures in categorising the SES of individuals.