1. District & Community Organizations: A Data-Driven Partnership
November 9, 2017
Maren Henderson, Evaluation Specialist
Accountability,
Innovation, and
Research

2. Context 36,000 students 66 schools Highly segregated city
36% African American
34% White
18% Hispanic/Latinx
6% Asian
3% American Indian
66 schools
Highly segregated city
Significant achievement gap
Over 300 community partners
Active philanthropic and business community
MCA Reading Growth Z-Scores by Neighborhood
Percent of Students Identifying as White by Neighborhood

3. Challenges to Address Data Privacy
Staff Capacity/Frequency of Data Requests
Limited Formative Use of Data
Interpretations of Impact
Concerns about Program Quality

4. Community Partnership Evaluation Program

5. Theory of Change Access to data Support interpreting and using data
Stronger relationship with district
Improved programming for youth
Improve data sharing with MPS community partners.
Align community partner services to MPS strategic plan and goals.
Increase the capacity of community partners to utilize evaluation for program improvement.

6. Access to Data
Compliant & Streamlined Roster Collection
Biannual Aggregate Reports
Data Dashboard

7. Biannual Aggregate Reports
Created using R and R Markdown
Data Includes:
Demographics
Service Status
Achievement Outcomes*
Test Scores (Proficiency and Growth)
School Performance
Engagement*
Attendance
Behavior
*Fall Reports contain prior year/baseline data

8. http://insights.mpls.k12.mn.us/SchoolBoardPortal /cpoost.html
Data Dashboard
/cpoost.html
What types of programs do MPS students participate in? Does program access vary by school or neighborhood?
Which students are being served by programs? Who is not being served?
Are there significant overlaps in program participation?

9. Support Interpreting and Using Data
Evaluation Capacity Building Workshops
Collective Impact Network Support

10. Evaluation Capacity Building
Monthly, now quarterly
Examples of Topics:
Logic Model
Theory of Change
Coding Qualitative Data
Excel
Youth Participatory Evaluation

11. Collective Impact Network Support
College Access Network
Ongoing Data Pulls
Duplication
Recruitment
FAFSA and College Application Status
End of Year Summary
Numbers served; eligible students not served
Participant Outcomes
Adding to Predictive Modeling in 2018

12. Stronger Relationship with District
Technical Assistance
Evaluation Capacity Building Workshops

13. Improved Programs for Youth (Long-Term Impact)
District Indicators:
Enhanced understanding of impact of out-of-school time and/or community partner offered programs on school district outcomes
Increased ability to understand individual partner impact

14. Improved Programs for Youth (Long-Term Impact)
Partner Indicators:
Increased ability to understand program impact
Easier and consistent access to data
Enhanced capacity to support formative and summative evaluative practices

15. Improved Programs for Youth (Long-Term Impact)
Funder Indicators:
Enhanced understanding of collective impact of out-of-school time and/or community partner offered programs on school district outcomes
Increased ability to understand individual partner impact, when applicable
Gaining confidence in program’s continuous quality improvement efforts

16. Key Factors to Successful Partnership
Focus on Evaluation Use
Focus on Mutually Beneficial Efforts
Sustained Investment
Cross-Sector Collaboration

17. Questions? Comments?