EconPapers    
Economics at your fingertips  
 

Identifying Off-Diagonal Communities Using the Australian Early Development Census Results

Robert Tanton (), Melanie Dare (), Sally Brinkman (), Billie-Giles Corti (), Ilan Katz (), Geoff Woolcock () and Sharon Goldfeld ()
Additional contact information
Melanie Dare: University of Canberra
Sally Brinkman: The University of Western Australia
Billie-Giles Corti: University of Melbourne
Ilan Katz: University of New South Wales
Geoff Woolcock: Wesley Mission Brisbane
Sharon Goldfeld: Royal Children’s Hospital

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2017, vol. 132, issue 3, No 2, 977-992

Abstract: 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 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11205-016-1333-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:soinre:v:132:y:2017:i:3:d:10.1007_s11205-016-1333-2

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11205-016-1333-2

Access Statistics for this article

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement is currently edited by Filomena Maggino

More articles in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-22
Handle: RePEc:spr:soinre:v:132:y:2017:i:3:d:10.1007_s11205-016-1333-2