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Developing Prospective Measures of Adversity Among Australian Families with Young Children

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  • Bina Gubhaju
  • Bryan Rodgers
  • Lyndall Strazdins
  • Tanya Davidson
  • Peter Butterworth
  • Tim Crosier

Abstract

Most studies of children’s development and parents’ wellbeing have not dealt effectively with the complexity of multiple disadvantage. Traditional approaches have typically used a limited set of outcomes and predictors. Even studies utilizing multiple risk factors have often treated these as confounders, adjusting for their influence, while concentrating on a primary association of interest. Such strategies do not illuminate the real world essence of disadvantage, i.e. that adversities co-occur more than expected by chance and that multiple disadvantage is common. The main aim of the present paper is to address this neglected topic and develop summary measures of adversity using the 2004–2005 data from Wave 1 of the Longitudinal Study of Australian Children. Information was obtained from families of 5,107 babies (0–1 years) and families of 4,983 children (4–5 years). The prevalence of multiple disadvantage among families with young children and the degree to which summary adversity measures are associated with each other and with family and child outcomes is then estimated. Using factor analysis, 12 lower-order constructs and two higher-order components of adversity were developed, labelled (1) material and (2) psychosocial adversity. Findings show that the two component scores were more strongly associated with outcomes than were the more specific construct scores and that psychosocial adversity was somewhat more relevant to family wellbeing and child development than material adversity. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Bina Gubhaju & Bryan Rodgers & Lyndall Strazdins & Tanya Davidson & Peter Butterworth & Tim Crosier, 2013. "Developing Prospective Measures of Adversity Among Australian Families with Young Children," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(3), pages 1171-1191, September.
    • Handle: RePEc:spr:soinre:v:113:y:2013:i:3:p:1171-1191
    DOI: 10.1007/s11205-012-0134-5
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    References listed on IDEAS

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    1. P. Jenkins, Stephen & Cappellari, Lorenzo, 2006. "Summarizing multiple deprivation indicators," ISER Working Paper Series 2006-40, Institute for Social and Economic Research.
    2. Caroline Dewilde, 2004. "The Multidimensional Measurement of Poverty in Belgium and Britain: A Categorical Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 68(3), pages 331-369, September.
    3. Whelan, Christopher T. & Maitre, Bertrand & Nolan, Brian, 2007. "Multiple Deprivation and Multiple Disadvantage in Ireland: An Analysis of EU-SILC," Research Series, Economic and Social Research Institute (ESRI), number PRS61.
    4. Rosanna Scutella & Roger Wilkins & Michael Horn, 2009. "Measuring Poverty and Social Exclusion in Australia: A Proposed Multidimensional Framework for Identifying Socio-Economic Disadvantage," Melbourne Institute Working Paper Series wp2009n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
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    1. Bina Gubhaju & Bryan Rodgers & Peter Butterworth & Lyndall Strazdins & Tanya Davidson, 2016. "Consistency and Continuity in Material and Psychosocial Adversity Among Australian Families with Young Children," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 35-57, August.
    2. Kirsten J. Hancock & Daniel Christensen & Stephen R. Zubrick, 2018. "Development and Assessment of Cumulative Risk Measures of Family Environment and Parental Investments in the Longitudinal Study of Australian Children," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 665-694, June.

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