Identifying off-diagonal communities using the Australian Early Development Census results
Article
Article Title | Identifying off-diagonal communities using the Australian Early Development Census results |
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ERA Journal ID | 10912 |
Article Category | Article |
Authors | Tanton, Robert, Dare, Melanie, Brinkman, Sally, Corti, Billie-Giles, Katz, Ilan, Woolcock, Geoff and Goldfeld, Sharon |
Journal Title | Social Indicators Research: an international and interdisciplinary journal for quality-of-life measurement |
Journal Citation | 132 (3), pp. 977-992 |
Number of Pages | 16 |
Year | 2017 |
Publisher | Springer |
Place of Publication | Netherlands |
ISSN | 0303-8300 |
1573-0921 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s11205-016-1333-2 |
Web Address (URL) | https://link.springer.com/article/10.1007/s11205-016-1333-2 |
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 | Built environment; Child development; Indicators; Socio-economic standards |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 330401. Community planning |
440610. Social geography | |
441001. Applied sociology, program evaluation and social impact assessment | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Funder | Australian Research Council |
Byline Affiliations | University of Canberra |
University of Western Australia | |
University of Adelaide | |
University of Melbourne | |
University of New South Wales | |
Wesley Mission Brisbane, Australia | |
Royal Children’s Hospital, Victoria |
https://research.usq.edu.au/item/z7y90/identifying-off-diagonal-communities-using-the-australian-early-development-census-results
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