Individual-Based Measure of Socio-Economic Disadvantage: Making Identification "Agile"

Russell J. Thomson, Christine Johnston, Lorraine Smith, Roger Dawkins, Kerry Staples, Karen Soldatic, Shannon J. Said, Grenville Rose, Jioji J. Ravulo, Valerie Harwood, Jim Micsko, Mary Teague

Research output: Book/Research ReportResearch report

Abstract

This project aimed to develop an individual-based measure of socio-economic disadvantage that can assist Australian universities to identify socio-economic disadvantage at the level of the individual student. A mixed-methods design was used. Phase 1 comprised an online questionnaire distributed to staff working in the area of widening participation and student support at each of the 42 universities in Australia (n = 256) and an online questionnaire for undergraduate students at three universities (one a member of the Group of Eight and the other two members of the Innovative Research Universities group" one a multi-campus metropolitan university and one a rural university) (n = 4,114). In Phase 2, five focus groups were conducted with staff and six with students to further explore the issues raised in Phase 1. Phase 3 consisted of a desk audit of university websites to provide data on the information publicly available to students experiencing socio-economic disadvantage. In the final phase, Phase 4, a possible approach to measuring disadvantage was evaluated through its presentation to students at two universities which had been part of Phase 1 (n = 91). The following factors were found to be indicators of socio-economic disadvantage. Whether the student: provides financially for their family; is the first in family to attend university; is experiencing financial hardship; and/or is in receipt of Youth Allowance, Austudy or ABSTUDY during Years 11 and/or 12 (or another Centrelink income and asset-tested entitlement) for a period of at least three months during Years 11 and/or 12 or equivalent. These were found to be questions that students were willing to answer and which would lead to effective and efficient identification.
Original languageEnglish
Place of PublicationPenrith, N.S.W.
PublisherWestern Sydney University
Number of pages181
DOIs
Publication statusPublished - 2022

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