Incorporating Head Start Data into Your SLDS

2012 SLDS P-20W Best Practice Conference 1

INCORPORATING HEAD START DATA INTO YOUR

SLDS Tuesday, October 30, 2012

Colleen Murphy, Utah Early Childhood Comprehensive Systems Initiative

Denise Mauzy, Opportunities in a Professional Education Network (OPEN) Initiative at the

University of MissouriJune Fox, Wisconsin Department of Public

InstructionMissy Cochenour, State Support Team

2012 SLDS P-20W Best Practice Conference

• What is Head Start?• Why integrate Head Start data in your

SLDS?• State context: Wisconsin, Utah & Missouri• What are common challenges in integrating

Head Start data?• What are best practices in integrating Head

Start data?• Digging deeper: What are your questions?

TODAY WE’RE GOING TO DISCUSS …

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WHAT IS HEAD START?


Head Start is …

• A federally-funded program that promotes the school readiness of at-risk young children and their families.

• The program serves more than 1.1 million children ages birth to five.

WHAT IS HEAD START?


Head Start is a federal-to-local program.

• Funding comes directly from the government to local grantees in community-based organizations.

• While 80 percent of funding comes from the federal government, 20 percent comes from “local match” or “in-kind” contributions from the local community.

WHAT IS HEAD START?


Head Start is not …• Administered by states, although some

states fund additional Head Start spaces.

What governs Head Start?• The Head Start Act, as amended and the

Head Start Program Performance Standards and Other Regulations govern Head Start.

WHAT IS HEAD START?


Each state has Head Start-State Collaboration Office (HSSCO) Director.

• Directors must serve on each State Advisory Council on Early Childhood Education and Care and work to promote collaboration, coordination, and alignment of Head Start programming, services, and/or standards with those of the state’s other early childhood education and care providers.

WHAT IS HEAD START?


What data is collected for Head Start?

• Program models;• Participant demographics;• Services provided or referred;• Frequency, duration and intensity of

services;• Child, family and program outcomes.

WHAT IS HEAD START?


WHY INTEGRATE HEAD START DATA

IN YOUR SLDS?


WHY INTEGRATE HEAD START DATA?

Head Start is one piece of a larger early childhood puzzle.


Head Start programs are primary partners in SLDSs:

• Their data are essential to inform research, policy, and practice.

• Without Head Start data, an SLDS could be missing more than 25% of the early childhood population.



WHY INTEGRATE HEAD START DATA?Head Start data that can be incorporated in an SLDS includes:

Dental services

Volunteers (Number, Type,

Hours)

Child & Family Demographics

Behavior incidents

Physicals & ImmunizationsParent-Teacher Conferences

Home Visits

Child Abuse/Neglect Report RatesAttendance

Health & Dental Insurance Status

Health servicesCase Notes

Budgets & Funding Levels

MOUs/MOAs

Child Turn-Over (Number, Reason,

Enrollment & Waiting Lists

Community Assessment

Transportation

Child Observatio

nsChild

Outcomes

IEP/IFSPMeals (menu, cost,

nutritional value, etc.)

Developmental Screening Results

Health Events/Concerns (allergies, contagious

disease exposure, etc.)

Referrals & Follow-up (Number, Type,

Result, etc.)

Staff Turn-Over (Number, Reason, Location, Position)

Staff Credentials

Progress toward School

Readiness Goals


SLDS integration benefits Head Start, too, by …

• Demonstrating the effectiveness of Head Start programs;

• Evidencing staff preparation; and• Contributing to strengthening all early

childhood services to better prepare children and families for success in school.



STATE CONTEXT: WISCONSIN, UTAH

& MISSOURI


Wisconsin:• Early Childhood Longitudinal Data System (EC LDS) Mission

Statement“Wisconsin will be able to measure child outcomes across

systems to evaluate young children’s progress and inform policy decisions.”

• May 2013 – Conclusion of Planning Phase (Feasibility Study)o ARRA Grant, LDS 3 Grant, Support of Governor’s Early

Childhood Advisory Councilo Data Roundtable (Stakeholder Outreach and Requirements

Gathering)o Identification of EC Data Elements across 37 programs,

across three participating agencies (Department of Public Instruction, Department of Health Services, Department of Children and Families)

CONTEXT


Wisconsin:

• May 2013 – Conclusion of Planning Phase (Feasibility Study) (continued)o Selection of five overarching policy questions for the EC LDS

to answer– Are children, birth to 5, on track to succeed when they enter school and

beyond?– Which children and families are and are not being served by which

programs/services?– Which children have access to high-quality early childhood programs and

services?– What characteristics of programs are associated with positive child

outcomes for which children?– What are the education and economic returns on early childhood

investments?

o Other Recommendations: Governance, System Architecture, Sustainability, Stakeholder Engagement, Etc.

CONTEXT


Wisconsin:

• Starts January 2013 – EC LDS Build and Implementation Phase**o Round 2 Race to The Top Grant, Support of Governor’s Early

Childhood Advisory Councilo Year 1 Highlights – Enhance DHS and DCF Data Environments (years

1-4), Establish Data Governance, Select and Implement Entity Resolution Software (Matching Tool)

o Year 2 Highlights – Build and Implement Presentation Layer (Analysis Tools, Dashboards and Reports) For First Set of Data Selected to Answer Key Questions

o Year 3 Highlights – Enhance Presentation Layer For Next Set of Data Selected to Answer Key Questions and Presentation Layer Training of Agency Staff

o Year 4 Highlights – Enhance Presentation Layer For Next Set of Data Selected to Answer Key Questions and Presentation Layer Training for Local/Public Access

** subject to grant application approval

CONTEXT


Utah:• The mission of the Utah Early Childhood

Statewide Data Integration Project is to facilitate data sharing and coordination among early childhood programs in Utah.

• Data from the Early Childhood Data System will be pushed annually to the P-20 Data Warehouse.

• Data security has become a major factor with Utah’s data integration project.o The Utah Department of Health recently had a major

data breach. As a result, all participants are concerned with data security.

CONTEXT


Missouri:• Two year contract from the Missouri

Coordinating Board for Early Childhood to the University of Missouri

• Two primary goalso Enroll Head Start staff and programs in MOPD System.o Facilitate Head Start participation in state-level data

collection efforts and analyses.

CONTEXT


WHAT ARE THE CHALLENGESIN INTEGRATING

HEAD START DATA?


• Lack of communication and understanding between Head Start and SLDS;

• Head Start data does not align with the data of other Early Childhood programs (i.e., data is by grantee, rather than county or district);

• Head Start reluctance to buy into yet another reporting system;

• Head start fear that data will discount their programs;

• Lack of incentives and resources to expand SLDS work to Head Start.

WHAT ARE THE CHALLENGES?


WHAT ARE BEST PRACTICES IN INTEGRATING

HEAD START DATA?


• Communication and Outreach• Governance• Data-Sharing Agreements• Core Data Elements• Data Use

WHAT ARE BEST PRACTICES?

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Wisconsin:• Working through the state’s Head Start Collaboration

Office and reaching out to it’s Head Start Association• Interest has been generated: WI HSA members want

to be involved in future workgroups and to receive updates

Utah:• Head Start is represented on all state early childhood

committees. • When needed, one-on-one meetings are held to

respond to Head Start questions and/or concerns.

COMMUNICATION AND OUTREACH


Missouri:• Identified the benefits for all parties in the

beginning and explored the challenges as a groupo Emphasis on working with statewide partners (HS

Association, HSSCO, Child Care Aware, etc.)• Approached the project as a joint planning

processo Head Start leaders ask great questions—AND have

great solutionso Communicated where we could compromise and look

for creative solutionso Secured support from leadership and participation of

key data personnel• Site level visits when necessary• Monthly report of activities to the Head Start

Advisory Council

COMMUNICATION AND OUTREACH


Wisconsin:• Working on governance structure and overarching MOU

for future EC-LDS, including Head Start• Head Start already integrated into YoungStar (WI’s QRIS);

when the time is right, data able to be agreed upon and shared

Utah:• Head Start representatives are involved in writing

governance policies and procedures.• Each data supplier has one vote in approving data

requests and in authorizing the use of its data for research requests.

Missouri:• Utilizing the Council for Early Childhood/School Age Data

and Research Sub-Committee to inform planning processes and establish priorities

• Head Start data governed by MOU during this “pilot” process

GOVERNANCE


Wisconsin:• Milwaukee Public Schools is ahead of the state effort

in developing their own local EC LDS. o As a Head Start grantee, MPS is actively developing a DSA to

include Head Start data within their local EC LDS. Ongoing communication occurs between MPS and the state EC LDS project.

Utah:• Agreements are signed by legal representative of

each data supplier, including participating Head Start programs.

• Data suppliers have the ability to terminate the agreements at any time. Upon termination, UDOH will destroy personally identifiable information.

DATA SHARING AGREEMENTS


Missouri:• Frames this effort as a “pilot”• Agreement sunsets after 3 years unless renewed• Clearly defines the role of all parties (e.g., University,

DESE, and Head Start agencies)• E.g., who is responsible for parental disclosure• Defines how we may use the data

DATA SHARING AGREEMENTS


Wisconsin:• Supports the idea of vendors (such as Child

Plus) defining common data elements (Head Start data into CEDS)

Utah:• Each data supplier will have an attachment to

the data sharing agreement listing data elements it will share with the Early Childhood Data System and the UT Data Alliance P-20 data warehouse.

• Each data supplier determines which data elements it is willing to share.

CORE DATA ELEMENTS


Missouri:• Focus on essential data elements during pilot • Must be common between the 28 agencies

o Started with review of PIR o Aligning with CEDS work

• Pilot includes two transfers o #1- ID generation/matching and enrollment and

attendance (current and historical records– For example, a Head Start agency would need to provide 5 years

of data in order to receive feedback about how their children did on the 3rd grade MAP test

o #2- child well being (from this point forward)

CORE DATA ELEMENTS


Wisconsin:• 80% of Head Start data fully integrated into YoungStar

(WI’s QRIS). Head Start grantees, affiliated with a child care program, receive an automatic 5 star (highest) rating, if in good standing.

• Able to ID Head Start centers in YoungStar for a look at the program level.

Utah:• Each data supplier may veto the use of its data for any

research request.• The results/findings of all requests are reported to the

Data Research and Policy Committee to be approved before being made public.

Missouri:• For feedback to programs and research ONLY• MOU includes an analysis plan---any data use outside of

the plan would require an amendment to the MOU• Includes a peer review process by the Research Sub-

Committee to ensure proper methodology, etc

DATA USE


ROUND TABLE DISCUSSIONDIGGING DEEPER:

WHAT ARE YOUR QUESTIONS?


Contact information:Colleen Murphy, [email protected] Denise Mauzy, [email protected] June Fox, [email protected] Cochenour, [email protected]

For more information on Incorporating Head Start into Your SLDS:

SLDS Topical Webinar Summary: Head Start and SLDS: Getting to Know You: http://nces.ed.gov/programs/slds/pdf/Headstart_and_SLDS.pdf Head Start Website: http://eclkc.ohs.acf.hhs.gov/hslc Head Start-State Collaboration Offices: http://eclkc.ohs.acf.hhs.gov/hslc/states/collaboration

CONTACTS & ADDITIONAL RESOURCES

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mailto:[email protected]




http://nces.ed.gov/programs/slds/pdf/Headstart_and_SLDS.pdf

http://nces.ed.gov/programs/slds/pdf/Headstart_and_SLDS.pdf

http://eclkc.ohs.acf.hhs.gov/hslc

http://eclkc.ohs.acf.hhs.gov/hslc/states/collaboration

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Incorporating Head Start Data into Your SLDS

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