Protective factors of children and families at highest risk of adverse childhood experiences : an analysis of children and families in the Growing Up in New Zealand data who “beat the odds”
Walsh, Matthew C.
Protective factors of children and families at highest risk of adverse childhood experiences : an analysis of children and families in the Growing Up in New Zealand data who “beat the odds” M.C. Walsh, S. Joyce, T. Maloney and R. Vaithianathan - Wellington, New Zealand : Ministry of Social Development, 2019 - electronic document (31 pages) ; PDF file
April 2019
The present report analyses the Growing Up in New Zealand (GUiNZ) birth cohort to identify protective factors for at-risk children who “beat the odds”. For the purpose of illustration, we build a predictive risk model using variables that are observed prenataly or at-birth in the GUiNZ data. These are mainly economic and demographic factors, and are chosen because they are typically available in administrative data. We use a predictive risk model to identify children who are at the highest risk of being exposed to Adversities of Childhood Experiences (ACEs) by 54 months. Children are classified as “beating the odds” if they are in the highest 20% risk group based on the predictive risk model, but by age 54 months have not experienced a single ACE.(From the Policy statement). For background information about this research and a related report, follow the link. Record #6223
978-1-98-854158-7
Centre for Social Data Analytics, AUT University
ADVERSE CHILDHOOD EXPERIENCES
CHILDREN AT RISK
DATA ANALYSIS
Growing Up in New Zealand study (GUiNZ)
INTERPERSONAL RELATIONSHIPS
LONGITUDINAL STUDIES
PREDICTIVE RISK MODELLING
PROTECTIVE FACTORS
SOCIOECONOMIC FACTORS
NEW ZEALAND
Protective factors of children and families at highest risk of adverse childhood experiences : an analysis of children and families in the Growing Up in New Zealand data who “beat the odds” M.C. Walsh, S. Joyce, T. Maloney and R. Vaithianathan - Wellington, New Zealand : Ministry of Social Development, 2019 - electronic document (31 pages) ; PDF file
April 2019
The present report analyses the Growing Up in New Zealand (GUiNZ) birth cohort to identify protective factors for at-risk children who “beat the odds”. For the purpose of illustration, we build a predictive risk model using variables that are observed prenataly or at-birth in the GUiNZ data. These are mainly economic and demographic factors, and are chosen because they are typically available in administrative data. We use a predictive risk model to identify children who are at the highest risk of being exposed to Adversities of Childhood Experiences (ACEs) by 54 months. Children are classified as “beating the odds” if they are in the highest 20% risk group based on the predictive risk model, but by age 54 months have not experienced a single ACE.(From the Policy statement). For background information about this research and a related report, follow the link. Record #6223
978-1-98-854158-7
Centre for Social Data Analytics, AUT University
ADVERSE CHILDHOOD EXPERIENCES
CHILDREN AT RISK
DATA ANALYSIS
Growing Up in New Zealand study (GUiNZ)
INTERPERSONAL RELATIONSHIPS
LONGITUDINAL STUDIES
PREDICTIVE RISK MODELLING
PROTECTIVE FACTORS
SOCIOECONOMIC FACTORS
NEW ZEALAND