Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/107073
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Type: Journal article
Title: Identifying off-diagonal communities using the Australian Early Development Census results
Author: Tanton, R.
Dare, M.
Brinkman, S.
Corti, B.
Katz, I.
Woolcock, G.
Goldfeld, S.
Citation: Social Indicators Research, 2017; 132(3):977-992
Publisher: Springer
Issue Date: 2017
ISSN: 0303-8300
1573-0921
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Responsibility: 
Robert Tanton, Melanie Dare, Sally Brinkman, Billie-Giles Corti, Ilan Katz, Geoff Woolcock, Sharon Goldfeld
Abstract: An individual’s, and indeed the nation’s, social and economic futures are highly dependent on early childhood development (ECD) outcomes, with poor ECD inhibiting future opportunities. Ecological ECD literature describes family, community and institutions as being key factors in children’s wellbeing, with suggestions that community factors may ameliorate impacts of poor ECD. It is therefore important to develop a greater understanding of those modifiable factors that positively, and negatively, affect ECD outcomes so as ECD policy and practice can be designed and implemented effectively. One approach to this analysis is through the identification and analysis of influencing factors identified within off-diagonal communities—that is those communities where children have either developed well in consideration of their high-levels of socio-economic disadvantage, or developed poorly in consideration of their low levels of socio-economic disadvantage. In this paper we describe a new method for the identification of off-diagonal communities. The method provides a clear and transparent approach to community selection, including a range of methods to further interrogate the community selection ensuring a rigorous and considered selection process. This new method, based on population Census and Australian Early Development Census data, provides the first step in identifying community factors likely to facilitate childhood wellbeing. These findings could inform policy making to reduce inequities by assisting in policy and service delivery design targeted to community needs.
Keywords: Indicators; built environment; child development; socio-economic standards
Rights: © Springer Science+Business Media Dordrecht 2016
RMID: 0030047495
DOI: 10.1007/s11205-016-1333-2
Grant ID: http://purl.org/au-research/grants/arc/LP130100411
Appears in Collections:Public Health publications

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