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Spatial Dimensions of Child Social Exclusion Risk in Australia: Widening the Scope

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Abstract

Despite great concern about child well-being, and an increasing recognition of the need to monitor how well children are doing, small area measures of child disadvantage are a very recent development in understanding child well-being both within Australia and internationally. This paper describes the further development of Australia’s only small area index of child social exclusion risk. Drawing on the latest conceptual and methodological developments in child indicator research, the authors have identified additional domains and variables to best measure child social exclusion at a small area level. Incorporating new data, the paper then goes on to discuss the use of principal components analysis and equal weighting to transform the individual indicators into domain scores, and then the domain scores into a single composite index.

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Notes

  1. Data was requested for dependent children divided into two age groups: 0–4 years old and 5–15 years old, but in this paper we present our analysis for all dependent children up to 15 years of age.

  2. The Statistical Subdivision (SSD) is an Australian Standard Geographical Classification (ASGC) defined area which represents an intermediate level, general purpose, regional type geographic unit. Statistical Subdivisions consist of one or more SLAs.

  3. We trialed the use of factor analysis and equal weights (alternatively) instead of principal components analysis, to come up with the domain scores. As the use of these alternative methods yielded roughly similar results as the use of PCA, we have opted to use PCA. The results on these alternative methods (as well as other exercises to test the robustness of the CSE index) are extensive and will be presented in another paper.

  4. The transformation used is as follows. For any small area, denote its rank on the index, scaled to the range [0,1], by R (with R = 1/N for the least deprived, and R = N/N, ie, R = 1, for the most deprived, where N = the total number of small areas). The transformed index, X say, is X = -23*log {1 - R*[1 - exp(-100/23)]} where log denotes natural logarithm and exp the exponential or antilog transformation.

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Acknowledgements

This study was funded by a Discovery Grant from the Australian Resource Council (DP1094318). The authors would like to thank the other Chief Investigators and Partner Investigators on the grant – Prof Laurie Brown, Dr Asher Ben-Arieh, Prof Michael Noble, Ms Leanne Johnson and Ms Rebecca Cassells. The authors would also like to thank Dr Riyana Miranti, and two anonymous referees who provided inputs to earlier versions of this paper. We are grateful to the Australian Bureau of Statistics, the Australian Curriculum, Assessment and Reporting Authority (ACARA), and the Australian Early Childhood Indicators (AEDI) for the data used in this project, and gratefully acknowledge the assistance of the Electoral Commission of Queensland in supplying a concordance between Statistical Local Areas and Brisbane electoral wards for 2006. An earlier version of this paper was presented at the 11th AIFS Conference.

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Abello, A., Gong, C.H., Daly, A. et al. Spatial Dimensions of Child Social Exclusion Risk in Australia: Widening the Scope. Child Ind Res 5, 685–703 (2012). https://doi.org/10.1007/s12187-012-9142-x

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