Identifying Off-Diagonal Communities Using the Australian Early Development Census Results
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.
KeywordsIndicators Built environment Child development Socio-economic standards
This research was supported under the Australian Research Council's Linkage Projects funding scheme (Project Number LP130100411).
- Australian Bureau of Statistics. (2011). Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, Australia (Vol. 1). Cat # 1270.0.55.001, ABS: Canberra.Google Scholar
- Australian Bureau of Statistics. (2013). Socio-economic indexes for areas (SEIFA) 2011: Technical paper. Cat No. 2033.0.55.001, ABS: Canberra.Google Scholar
- Centre for Community Child Health, & Telethon Institute for Child Health Research. (2009). A snapshot of early childhood development in Australia: AEDI National report 2009. Canberra: Australian Government.Google Scholar
- Centre for Community Child Health, & Telethon Institute for Child Health Research. (2012). A snapshot of early childhood development in Australia: AEDI National report 2012. Canberra: Australian Government.Google Scholar
- Fair Work Commission. (2014). Draft national minimum wage order 2014. Melbourne: Fair Work Commission.Google Scholar
- Goldfeld, S., Mathews, T., Brinkman, S., Woolcock, G., Myers, J., Kershaw, P., Katz, I., Tanton, R., & Wiseman, J. (2010). The Kids in Communities Study: Measuring community level factors influencing children’s development. Report for VicHealth. Melbourne: Murdoch Children’s Research Institute.Google Scholar
- Goldfeld, S., Woolcock, G., Katz, I., Tanton, R., Brinkman, S., O’Connor, E., et al. (2014). Neighbourhood effects influencing early childhood development: Conceptual model and trial measurement methodologies from the Kids in Communities Study. Social Indicators Research. doi: 10.1007/s11205-014-0578-x.Google Scholar
- Hertzman, C. (2010). Framework for the social determinants of early child development. In R. E. Tremblay, R. G. Barr, R. D. Peters, M. Boivin (Eds.), Encyclopedia on early childhood development. Montreal: Centre of Excellence for Early Childhood Development. http://www.child-encyclopedia.com/
- Shonkoff, J. P., & Boyce, W. T. (2009). Neuroscience, molecular biology, and the childhood roots of health disparities: Building a new framework for health promotion and disease prevention. Journal of the American Medical Association, 301, 2252–2259. doi: 10.1001/jama.2009.754.CrossRefGoogle Scholar
- Swisher, R. (2008). Neighborhoods and youth: How neighborhood demographics and social processes affect youth outcomes. The Prevention Researcher, 15, 7–11.Google Scholar