Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy.

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Presentation transcript:

Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy Claudia J. Coulton, Ph.D. Co-Director, Distinguished University Professor Robert L. Fischer, Ph.D. Co-Director, Associate Professor Seok-Joo Kim, Ph.D. Post-doctoral Scholar Center on Urban Poverty & Community Development

Jack, Joseph and Morton Mandel School of Applied Social Sciences 2 Overview Funded by John D. and Catharine T. MacArthur Foundation Study period: July 2014 – June 2016 Examine influence of housing and others early childhood experiences Build on the Ohio Education Research Center (OERC, the Ohio State University) funded study of the kindergarten and 3 rd grade literacy Leverage Integrated Data Systems (IDS) 2

Characteristics/IVs Child ij Family ij Housing ij Social Service ij Neighborhood j X X1X1 X2X2 KRA-L ij X4X4 W1W1 + X3X3 Demographic Mother, child abuse, foster care, poverty Type, tax, foreclosure, etc. Home visiting, day care, Head Start, pre-K (UPK) Social & housing Duration weight Spatial weight e ij = Kindergarten Readiness Assessment- Literacy (Score 0-29) Census tract j = 1Census tract j = 2Census tract j = 3 Birth Jan 2002Feb July, 2007 Kindergarten August, 2007 : Non-poor : Poor i’s house i’s Census tract j Child i Spatial Longitudinal Housing Matters: Conceptual Model Outcomes

Jack, Joseph and Morton Mandel School of Applied Social Sciences 4 Mobility / Foreclosure / Ownership / Type / Tax / Public housing Attendance Pre-school / UPK Head Start Demographic KEarly childhoodInfant Housing Matters: Timeframe Quarter Age Stage OutcomeKRA-L test -2 Pre Child Family Subsidized child care Mom’s info. TANF / SNAP / Medicaid / Child maltreatment / Foster care Neighborhood Social: Concentrated disadvantage, immigrant concentration, crime Housing Housing: Abandoned, demolition, foreclosure, ownership, vacant, value Home visiting Service

Jack, Joseph and Morton Mandel School of Applied Social Sciences 5 Educational Outcomes KRA-L score Attendance Child Context Demographic Low birth weight Age at kindergarten Disability Housing Matters: Integrated Data System 5 Family Context TANF/SNAP/ Medicaid Mother’s education Mother’s age & education Child maltreatment Foster care Service Context Home visiting Head Start Preschool Universal Pre-K Mobility School / Residential Educational Outcomes KRA-L score Attendance Child Context English as second language School Context: C haracteristics Mobility: School OLDA Social context Concentrated disadvantage Immigrant concentration Crime Housing context Abandoned / vacant housing Foreclosure / demolition Ownership / housing Values NEO CANDO / Property Individual housing context Foreclosure spell Ownership Tax delinquent spell Public housing Housing type & age Property By Census tractBy State Student ID By Parcel Number CHILD system

Jack, Joseph and Morton Mandel School of Applied Social Sciences 6 Project Status Sampling: Identifying cohort and duplicates Individual level data: CHILD system + OLDA Neighborhood level data: NEO CANDO Analysis: Descriptive and multi-level analysis Complete Ready In process (50%) Workflow Status Housing / property data Final report In process Spring, 2016 N=16,480 Kindergarten In Cleveland Metropolitan School District, Ohio

Thank you! Q / A Contact Information: Seok-Joo Kim, Ph.D. Resources Center on Urban Poverty & Community Development: NEO CANDO: State Data Local Data County Data