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Amount of variance (%) accounted by each level of predictors (i.e., each step) Step Domain Physical Soc/Emot Learning W1 W2 W1 W2 W1 W2 1 Community (Macro) 3 2 5 3 4 3 2 Childcare & school (Exo/meso) 4 (+1) 3 (+1) 6 (+1) 4 (+1) 5 (+1) 4 (+1) 3 Family structure/ demographics 6 (+2) 6 (+3) 11 (+5) 9 (+5) 13 (+8) 13 (+9) 4 Family process (Micro) 10 (+4) 10 (+4) 24 (+13) 26 (+17) 15 (+2) 14 (+1) 5 Child 12 (+2) 13 (+3) 30 (+6) 38 (+12) 20 (+5) 22 (+8)
W1 and W2 Macro-level predictors of 3 domains in Wave 3 – beta coefficients Domain Physical Soc/Emot Learning Step 1 W1 W2 W1 W2 W1 W2 SEIFA .05* .06** .10*** .06* .19*** .16*** N’hood belong .15*** .13*** .20*** .16*** .04* - - - - - - Final step SEIFA - - .06* - .07** - N’hood belong .08*** .07*** .07*** .07*** .- - Remoteness Remoteness - - - - - -
Page 1 and 2: Children’s physical, socialemotio
Page 3 and 4: Feb 2004: Launch at the Children’
Page 5 and 6: The Longitudinal Study of Australia
Page 7 and 8: Common drivers of multiple outcomes
Page 9 and 10: LSAC’s Conceptual Framework • E
Page 11 and 12: Outcome Index - Broad Structure LSA
Page 13 and 14: Analytic approach • Dependent var
Page 15 and 16: W1 and W2 family demographic and st
Page 17: W1 and W2 Child-level predictors
Page 21 and 22: W1 and W2 Family structure and demo
Page 23 and 24: W1 and W2 Child predictors of 3 dom
Page 25 and 26: SO : Common drivers? - Yes and No N
Page 27 and 28: Limitations and areas for further i
Page 29: Thank you! www.aifs.gov.au/growingu

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