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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

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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Page 1: Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy

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

Page 2: Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy

Jack, Joseph and Morton Mandel School of Applied Social Sciences2

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 3rd grade literacy• Leverage Integrated Data Systems (IDS)

2

Page 3: Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy

Characteristics/IVs

Childij

Familyij

Housingij

Social Serviceij

Neighborhoodj

X

X1

X2

KRA-Lij

X4

W1

+X3

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

eij =Kindergarten Readiness Assessment-Literacy (Score 0-29)

Census tractj = 1 Census tractj = 2 Census tractj = 3

Birth Jan 2002 Feb 2002 - July, 2007

KindergartenAugust, 2007

: Non-poor: Poor

i’s house

i’s Census tractj

Childi

Spatial

Longitudinal

Housing Matters: Conceptual Model

Outcomes

Page 4: Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy

Jack, Joseph and Morton Mandel School of Applied Social Sciences4

Mobility / Foreclosure / Ownership / Type / Tax / Public housing

Attendance

Pre-school / UPKHead Start

Demographic

KEarly childhoodInfant

Housing Matters: Timeframe

1 2 3 4 5 6 7 8 9 10 11 12Quarter 13 14 15 16 17 18 19 20

1 2 3 4 5AgeStage

Outcome KRA-L test

-2 -1Pre-1

Child

Family

Subsidized child care

Mom’s info.TANF / SNAP / Medicaid / Child maltreatment / Foster care

NeighborhoodSocial: Concentrated disadvantage, immigrant concentration, crime

Housing

Housing: Abandoned, demolition, foreclosure, ownership, vacant, value

Home visiting

Service

Page 5: Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy

Jack, Joseph and Morton Mandel School of Applied Social Sciences5

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: CharacteristicsMobility: 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

Page 6: Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy

Jack, Joseph and Morton Mandel School of Applied Social Sciences6

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

Complete

Ready

In process (50%)

Workflow Status

Housing / property data

Final report

In process

Spring, 2016

N=16,480KindergartenIn 2007-2010Cleveland Metropolitan School District, Ohio

Page 7: Housing Matters: Leveraging Integrated Data Systems (IDS) to Examine the Role of Housing and Neighborhood Conditions on School Readiness and Early Literacy

Thank you!Q / A

Contact Information: Seok-Joo Kim, Ph.D. ([email protected])Resources

• Center on Urban Poverty & Community Development: http://povertycenter.case.edu/• NEO CANDO: http://neocando.case.edu/

StateData

LocalData

CountyData