1 Fresno Catalytic Community Convening February 4 th, 2015.

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1 Fresno Catalytic Community Convening February 4 th , 2015

Transcript of 1 Fresno Catalytic Community Convening February 4 th, 2015.

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Fresno Catalytic Community Convening

February 4th, 2015

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WELCOME & CONTEXT SETTING

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MEETING RESULTS: 1. Update on accountability structure 2. Review tenets of continuous improvement with a high

level perspective of what is it and what is needed3. Solidify list of data needs with identification of gaps

and potential strategies4. Secure action commitments from group participants

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CHECK-IN: • What is your name? • What organization are you representing? • What does success for you look like today?

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Partner Engagement Evolution in Collective Impact

© Strive 2013

What is needed in a collective impact context

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DRAFT FRESNO ACCOUNTABILITY STRUCTURE

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TCM Role – Systems HubA primary goal of The Children’s Movement is to connect and focus the various bodies of work shown in the graphic below around the central issue of Grade-Level Reading

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Fresno C2C Goals &

Outcomes

Partnership Board

Operations Team

K-12/Higher Ed/Career

Action Team

Community Steering

Committee

Continuous Improvemen

t Team

Prenatal – 3rd Grade

Action Team

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Levels of Engagement for Leadership

Typical Engagement Opportunities

Advisory Board Board of Directors Taskforce

Key Characteristics:

Giving feedback on strategy with no commitment to act

Key Characteristics:

Overseeing legal and financial responsibilities with guidance on strategy and overall direction

Key Characteristics:

Focus on developing recommendations for action and engaging in active advocacy on behalf of the proposed solutions

Partnership

Key Characteristics:

Commit to changing behavior of individuals and organizations to achieve a collective result

New Type of Engagement

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This work requires a complete paradigm shift.

For example, we are moving from a focus on institutions at the center……..

1111

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To the child at the center……..

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This will require all partners to work differently every single day at three levels:

• Individually• Organizationally• Collectively

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IndividuallyOrganizationallyCollectivelyIndividual leadership team members build awareness of the work and align where possible throughout the community

Organizations represented on theleadership table align work to partnershipoutcomes, commit to using data andidentify best practices

Leadership table works together to drive systems change by mobilizing thecommunity and championing advocacyto support evidence based change

Leadership can take action . . .

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Examples of Leadership Action

Type of Action Early Stage Middle Stage Late Stage

Individual

Organization

Collective

Speak to the work of the partnership regularly in the community at events or on a board

Advocate for collection and utilization of data on a non-profit board of use of data to inform decision on the board of a philanthropy

Adopt partnership outcomes as a part of strategic plan and ensure staff understand connection to overall vision

Provide programmatic data on work related to a partnership outcome to enable continuous improvement

Change work of organization – practitioner, investor, policymaker – to adopt or support practices identified as impactful

Champion mobilization campaign to engage and tap into community resources to support outcome improvement

Develop and champion a policy and advocacy agenda to remove barriers and spread best practices identified by partnership

Partnership Development

Leverage partner resources to align and support development of partnership structure

Work to get on the board of key orgs /partners or speak to groups that are struggling to find ways to engage

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“What can we do collectively as the leadership table to drive systems change by supporting evidence based practice, mobilizing the community and championing advocacy?”

Action CommitmentsClear commitments to take tangible action within a specified timeframe

“What can my organization do to align our work to the partnership outcomes, use data

differently and identify best practices?”

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Continuous Improvement Overview

Overview & Capacity Needs

© Strive 2013

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Reporting and Accountability- Using data to report to funders and the community

Evaluation and Research- Use qualitative and quantitative data to assert value; point-in-time program review

ContinuousImprovement- Ongoing use of data to increase quality and efficiency of services; process of “learning fast to implement well”

Continuous ImprovementHow is it different?

20January February March April

20%

25%

30%

35%

40%

45%

50%

55%

60%

65%

70%Elk WoodsLake PortMadison

Project Measure: Percent of students at proficiency in 3rd grade reading

Team of grade-level teachers review

benchmark assessment data; adopt action step

Small test of change:Engaged tutoring

partners to provide intensive support during class time

Small test: Intensive supports helped.

Tried pulling students out of class for deeper

intervention.

Small test: Additional staff from partners engaged to create

smaller learning groups in classes

Returned students to class for partners to

provide intensive supports

Analytics to Drive Action

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Continuous Improvement

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Myth: Everyone already understands it

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Myth: It’s not worth the time

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Myth: Not every process can be improved

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What is Continuous Improvement?

Continuous Improvement“An ongoing effort to improve the quality of products, services, or processes. These efforts can seek "incremental" improvement over time or "breakthrough" improvement all at once. Delivery (customer valued) processes are constantly evaluated and improved in the light of their efficiency, effectiveness and flexibility.”

-Wikipedia

Kaizen

KAI = Change

ZEN = Good

Japanese for improvement or change for the best; refers to philosophy or practices that focus upon continuous improvement.

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BACKBONE FUNCTION ROLES: DATA SUPPORT CAPACITY

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Backbone Function RolesEngage Partners & CommunityBring together the necessary community partners to support the work, including engagement ofthe broader community as well as executive-level individuals for the leadership table.

CommunicationsDevelop a set of key messages about the partnership and communicate them regularly to internalpartners and the broad community. Establish the necessary mechanisms for communicating about the partnership (newsletter, website, etc.). Release an annual report card to the community that effectively communicates the importance and meaning of the data for each of the partnership’s community-level outcomes. Enable the flow of information between the different groups within the partnership.

Fundraising &DevelopmentDevelop and implement a plan forsecuring funding and resources to advance the partnership’s work. Tap into existing relationships to build financial support for the partnership.

Data SupportEnable the access, analysis, and utilizationof data to support the partnership.

• Data Access- enables necessary datathat is crucial to advancing the work of the partnership to be accessed and used for data-driven decision making.

• Data Analysis- analyzes data according to the partnership’s needs.

• Data Coaching- trains and supportspartnership and network members in the process of using data for continuous improvement.

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Enable the access, analysis, and utilization of data to support the partnership.

• Data Access- enables necessary datathat is crucial to advancing the work of the partnership to be accessed and used for data-driven decision making.

• Data Analysis- analyzes data according to the partnership’s needs.

• Data Coaching- trains and supportspartnership and network members in the process of using data for continuous improvement.

Data Support

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“Trains and supports network members in the process of using data for continuous improvement.”

• Access all data needed to launch a network including disaggregation of data

• Working with members to identify appropriate measures • Assist in the development of a data collection plan/

process• Obtain student–level data needed from partners and

schools (ensuring legal/privacy laws are met)• Conduct data analysis• Teach members how to apply and better understand how

data is used for continuous improvement

Data Coaching Support Needed for CAN’s

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Data Support: Case Study Examples

ACT Scores: 12.7

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2010 2011 2012 2013 20140.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

100.0%

54.3% 56.1% 57.4% 54.8% 55.7%

45.7% 43.9% 42.6% 45.2% 44.3%

3rd Grade Reading Proficiency

At or above proficiency Below proficiency

Understanding the relevant importance of movement on the outcome over time.

Data Trends

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Disaggregating DataUnderstanding the relative importance of demographic factors.

School Name

Total 3rd grade

enrollment (2014)

% reading at

proficiency or above (SY 2014)

% reading at

proficiency or above (SY 2013)

2 year average reading

proficiency

% Free/ reduced

lunch ready

% chronic absent (K-

3)% White

proficient% African-American proficient

% Hispanic/

Latino proficient

% Asian proficient

% Native American proficient

% Other proficient

% ELL proficient

Stark 333 96% 90% 93% 15% 37% 98% 97% 93% 98% 92% N/A 25%Grove 425 93% 89% 91% 18% 29% 99% 98% 79% 100% N/A 97% 45%Brown 655 91% 82% 87% 97% 7% 96% 89% 79% 98% 88% 89% 77%Davis 222 81% 91% 86% 22% 27% 86% 59% 62% 96% 83% 99% 52%Harris 411 81% 88% 85% 96% 4% 88% 81% 79% 87% 79% 78% 69%Johnson 519 65% 67% 66% 23% 32% 89% 45% 13% 86% 79% 82% 39%Tarver 345 64% 66% 65% 37% 43% 87% 29% 16% 91% 37% 86% 39%West 437 55% 57% 56% 52% 22% 76% 29% 10% 82% 53% 89% 27%Day 302 52% 51% 52% 84% 22% 63% 23% 17% 79% 59% 79% 51%Clayton 324 47% 45% 46% 73% 19% 54% 26% 22% 87% 15% 62% 42%South 523 43% 38% 38% 91% 37% 52% 27% 7% 92% 22% 69% 22%Clay 601 39% 32% 38% 87% 32% 65% 29% 16% 66% 22% 59% 26%North 377 35% 31% 35% 94% 39% 67% 27% 9% 59% 17% 52% 37%Smith 187 31% 30% 32% 79% 19% 51% 23% 13% 47% 12% 47% 19%May 442 24% 22% 25% 69% 23% 49% 13% 6% 59% 21% 43% 16%Rose Hill 520 19% 18% 20% 84% 11% 37% 12% 5% 18% 12% 27% 17%

Totals 6623 55.7% 55.2% 55.5% 63.8% 27% 75% 44% 22% 87% 44% 68% 40%

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Data TrendsUnderstanding where things are already working (bright spots).

10% 20% 30% 40% 50% 60% 70% 80% 90% 100%0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Two Year Average (SY 2013 & SY 2014)

% of students reading proficient in 3rd grade

Econ

omic

ally

Disa

dvan

tage

d (%

3rd

gra

ders

el

igib

le fo

r fre

e/re

duce

d lu

nch)

Potential bright spot schools: Brown & Harris

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Disaggregating DataUnderstanding the relative importance of different key driver/factors: determine which students are most in need.

Kindergarteners 1st Graders 2nd Graders 3rd Graders

-10%

10%

30%

50%

24%

31%26%

19%

% chronic absenteeism by grade

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Disaggregating Data Understanding the relative importance of different key drivers/ factors: determine where students are struggling the most.

Prefixes and suffixes

Text complexity

Word decoding

Sight words

Vocabulary

Comprehension

13%

19%

27%

34%

55%

67%

% of students “not” meeting 2nd & 3rd grade literacy content standards

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Student name Grade DOB Race/ Ethnicity

1:1 FAFSA completion

# of college tours

Assistance on

completing a college

application

Assistance with applying

for scholarships

Career/college planning reviewed

National Student Clearinghouse:

College Enrollment Data

District / school database/system: ACT

& Graduation Data

Tracked/collected by partners (with parental consent) Data obtained from school/districts

Types of Service Nparm DF ChiSquare P Value

1:1 FAFSA completion assistance provided 1 1 45.05007 0.0001

Student went on at least one college tour 1 1 0.064657 1.675

Took the ACT 1 1 0.461156 0.00012

College plan reviewed 1 1 3.43025 1.8964

Assistance with completing a college application 1 1 63.431675 0.0014

Statistical analysis: key critical activities that impact change

Data Analysis Example: RegressionHelp members to analyze data from the data collection plan in order to determine possible “practices” that are impacting the outcome.

Regardless of race or socio-economic status - students who had completed FAFSA, took the ACT and applied to college were 86% to 91% more likely to enroll into college within 6 months of graduating.

Effect likelihood ratio tests (p< .05)

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FAFSA completion:

24 %

ACT Scores: 12.7

Capacity Needs

Discussion on the following:• Do we have the capacity needed?• What else will we need?• Who could help us?• What should we do next?

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Questions?

FAFSA completion:

24 %

ACT Scores: 12.7

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Continuous Improvement Deep-Dive

Deep-Dive & KSEP Data Review

© Strive 2013

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Collaborative Action Teams

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How to form and sustain an Action Team to improve outcomes.

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Case Study Example

FAFSA completion:

24 %

ACT Scores: 12.7

© Strive 2013

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What we are tracking.

What we are prioritizing.

3rd Grade Reading

Kindergarten Readiness

High School Graduation

College Enrollment

College Completion

High School Graduation

Kindergarten Readiness

College Enrollment

3rd Grade Reading

High School Graduation

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Base of knowledge to inform the local data and community expertise around key levers/factors; used as a guide

Qualitative input that provides meaning and context around national research and local data.

Different types of measures/ indicators informed by that are available help to understand local context and impact/ relation to national research.

Local Data

Community Expertise & Voice

National Research

What do we need to get started?

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2010 2011 2012 2013 20140.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

100.0%

54.3% 56.1% 57.4% 54.8% 55.7%

45.7% 43.9% 42.6% 45.2% 44.3%

3rd Grade Reading Proficiency

At or above proficiency Below proficiency

What does the outcome trend tell us?

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6,623 3rd graders in Springfield School District

Race/Ethnic % Number % Free/ Reduced Lunch

Number

White 33% 2,186 27% 590

African American/Black 16% 1,060 83% 879

Latino/Hispanic 42% 2,782 92% 2,559

Asian 1.5% 99 0% 0

Native American 6.5% 430 78% 335

Other .5% 33 55% 18

Who is our population?

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What could be effecting our outcome?

55.7% of 3rd graders are proficient in reading

Percent K-3rd graders tutored by partners who are proficient: TBD

Percent of K-3 students from

low-income families: 82%

Mobility rate: 63 %

What are some factors (key drivers) to consider?

© Strive 2013

Percent K-3rd attending an afterschool

program: 59%

Percent of children entering

kindergarten prepared: 45%

Percent of parents who are

unemployed: unknown

Percent of K-3

students who are chronically absent:

27%

Percent of K-3 students

experiencing summer learning

loss: 32%

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What are our boundaries?Out of Action Team’s control: refer to Leadership/ Partnership to address.

Out of Action Team’s scope: refer to another Action Team.

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What is within our control/influence?

55.7% of 3rd graders are proficient in reading

© Strive 2013

What this Action Team can change. Outside of Action Team’s control or scope.

Percent of K-3

students tutored by partners who

are proficient: TBD

Percent of children from low-income

families: 82%

Mobility rate: 63 %

Percent of K-3 students who are

chronically absent: 27%

Percent K-3 students attending

an afterschool program: 59%

Percent of children entering

kindergarten prepared: 45%

Percent of parents who are

unemployed: unknown

Percent of K-3 students

experiencing summer learning

loss: 32%

Percent of children from low-income

families: 82%

Mobility rate: 63 %

Percent of children entering

kindergarten prepared: 45%

Percent of parents who are

unemployed: unknown

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How could we start?

55.7% of 3rd graders are proficient in reading

Percent of K-3

students tutored by partners who

are proficient: TBD

Percent of children from low-income

families: 82%

Mobility rate: 63 %

Percent of K-3 students who are

chronically absent: 27%

© Strive 2013

Percent K-3

students attending an afterschool program: 59%

Percent of children entering

kindergarten prepared: 45%

Percent of parents who are

unemployed: unknown

Percent of K-3

students experiencing

summer learning loss: 32%

Partners believe they can make improvements in these specific areas the first year

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SCHOOL 3RD GRADE PROFICIENCY

FREE & REDUCED

CHRONICALLY ABSENT SERVED

School A

47% 87% 27% 40%

School B

87% 24% 4% 11%

School C

85% 79% 15% 12%

School D

42% 85% 29% 38%

School E

82% 86% 6% 49%

AVERAGE 55.7% 71% 19% 40%

Where will we be most effective?

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Kindergarten ready

Reading proficient in 1st Grade

Reading proficient in 2nd Grade

Reading proficient in 3rd Grade

0.0%10.0%20.0%30.0%40.0%50.0%60.0%70.0%80.0%90.0%

100.0%

47.9%

71.1%

44.5%55.7%

% reading proficiency by grade

Per

cen

t o

f S

tud

ents

What other data might we need?

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Prefixes and suffixes

Text complexity

Word decoding

Sight words

Vocabulary

Comprehension

13%

19%

27%

34%

55%

67%

% of students “not” meeting 2nd & 3rd grade literacy content standards

What other data might we need?

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Kindergarteners 1st Graders 2nd Graders 3rd Graders

-10%

10%

30%

50%

24%

31%26%

19%

% chronic absenteeism by grade

What other data might we need?

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What other data might we need?

Kindergarteners 1st Graders 2nd Graders 3rd Graders0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

22%15%

31% 27%

% of K-3 students in summer programs

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How we are going to get there?

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What is an Action Plan?

Free/Reduced Lunch: 70 %

Graduation Rate: 73 %

ACT Scores: 12.7

An Action Plan is a document that outlines the work the Action Team will complete collectively during a given time frame.

The Action Plan usually covers one year to allow time for the action steps to be implemented and new data to be collected.

The Action Plan includes:-Goals/Targets-Measures-Projects/Strategies-Action Steps • Start/Stop dates• Responsibility linked• Identifies resources• Continuous

improvement

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Action Plan Example

© Strive 2013

Projected Outcome

Actual Outcome

Projected Outcome

Actual Outcome

Projected Outcome

Actual Outcome

Projected Outcome

Actual Outcome

56.4% 58% 60% 65% 70%

TBDBaseline

+25%

46% 70%

TBD TBD

Projected Outcome

Actual Outcome

Projected Outcome

Actual Outcome

Projected Outcome

Actual Outcome

Projected Outcome

Actual Outcome

100%

Start Date End Date Existing New

1 All

members8/1/14 8/31/14

2 Tom 8/1/14 8/31/14

Completion of data analysis project to determine baseline measure and identify changes/improvements needed

Progress Measure (2015/16)

Project A: Obtain data to determine the % of children served by partners who entered kindergarten preparedFourth Quarter (6/1/15-

8/31/15)

M3. % of children served (ages 4-5) that demonstrate an increase in readiness (pre to

Baseline Measure (2013/14)

Second Quarter (12/1/14-2/28/15)

Community Level Outcome/Indicator Measures

Progress Measure (2016/17)

Progress Measure (2017/18)

Implementation Timeline

Progress Measure (2014/15)

Third Quarter (3/1/15-5/30/15)

Long Term Goal

Short Term Goal

Short-Term Goal: By September 1, 2015, increase the percent of children served by network partners that enter kindergarten prepared by 25%.

Long-Term Goal: By September 1, 2017 increase the percent of all children in Springfield County entering kindergarten prepared to 70%.

First Quarter (9/1/14-11/30/14)Key Project Progress Milestones (e.g. monthly, quarterly, as

needed)

Review existing parental releases to determine if request can to be made to schools/districts to obtain k-entry data or if new releases will be needed

Contact school/district representatives and determine if data request can be fulfilled or if additional information is needed

M1. % of all students entering kindergarten prepared

M4. # of children (ages 0-3) screened by partners

M2. % of children served that enter kindergarten prepared

Action Steps DeliverablePerson(s)

responsible

Actual Completion

Date

Resources Needed

Springfield Early Childhood Action Team(Timeline: 9/1/2014 - 8/31/2015)

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Long-term: by 2018, increase the percent of all 3rd graders who are literacy proficient by 10%Short-term: by 2016, increase percent of students served who are reading proficient by 15%

Proficient: 68%

Served proficiency

rate 65%

Set SMART Goals/Targets

Short-term: by 2016, decrease chronic absenteeism rates by 5%

Chronically absent rate

23%

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Where are things already working?

© Strive 2013

SCHOOL 3RD GRADE PROFICIENCY

FREE & REDUCED

CHRONICALLY ABSENT SERVED

School A

47% 87% 27% 40%

School B

87% 24% 4% 11%

School C

85% 79% 15% 12%

School D

52% 85% 29% 38%

School E

82% 86% 6% 49%

AVERAGE 55.7% 71% 19% 40%

6161© Strive 2013

10% 20% 30% 40% 50% 60% 70% 80% 90% 100%0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Two Year Average (SY 2013 & SY 2014)

% of students reading proficient in 3rd grade

Econ

omic

ally

Dis

adva

ntag

ed (%

3rd

gra

ders

el-

igib

le fo

r fre

e/re

duce

d lu

nch)

What could we learn from our local bright spots?

Potential bright spot schools C and E

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What can we do to increase 3rd grade proficiency?

Project C: Reanalyze partner data to determine where strategic interventions should be directed within literacy content areas: comprehension and vocabulary (review data, refine curriculum, train tutors, PD for summer program staff, etc.)

Develop Shared Action Plan

Project A: Investigate bright spot schools to determine what possible key activities could be having an impact on absenteeism and 3rd grade proficiency.

Project B: Develop a common data collection plan among partners to determine impact and identify what works.

Project D: Conduct root cause analysis and collect data on attendance issues; develop strategic interventions with school partners (e.g. develop parent education materials, workshops, identification of policy issues, etc.)

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Doing the work.

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How are we going to accomplish this?

Teachers & Tutors

Summer Program

Staff

Faith Based Volunteers

Public Library

College / University

StaffWho?

What?Direct access

to student needs

Make curriculum

changes

Provide information to parents

Capacity to help

plan/provide activities

Assist with PD and other

activities

How? Implement the Action Plan to guide the work

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Did we get there?

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August September October November December0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Percent of volunteers satisfied with tutor training

Surveys indicated there were portions of the

training that were unclear

Small test of change:

new trainers trained on updated

curriculum

Small test of change:

curriculum was modified based

on additional feedback from

surveysThe new trainers were unfamiliar with

the curriculum; surveys indicated

training was difficult to understand

Small test of change: modified training

curriculum based on survey data

What can we learn by checking the status of our work?

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Student name Grade DOB Race/

Ethnicity

Free/ Reduced

Lunch Status

Tutoring start date

# of 1:1 hours tutored

# of tutors

% of days attending an after-school

program

Enrolled into a summer program MAP literacy scores

Data tracked/collected by partners (with parental consent if applicable) Data obtained from school/district

Types of Service Nparm DF ChiSquare P Value

30+ hours of 1:1 literacy tutoring 1 1 45.05007 0.0001

Attended an after-school program 1 1 0.064657 1.675

1-2 tutors assigned 1 1 0.461156 0.00012

More than 3 tutors 1 1 3.43025 1.8964

Completed a summer program 1 1 63.431675 0.0014

Regardless of race or socio-economic status - students who had 30+ hours of 1:1 tutoring, no more than 2 tutors, and who completed a partner summer program were 87% more likely to make literacy gains.

Effect likelihood ratio tests (p< .05)

What can we learn by our data collection plan?

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Analyze data to determine what worked.

Yes.No.

What can we do to have a greater impact

Are we missing important players?

How can we sustain the work?

Are there other strategies to consider?

Did we overlook important data /

information?

Can we expand our efforts?

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Continuously improve.

7070

Questions?

FAFSA completion:

24 %

ACT Scores: 12.7

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Review of KSEP Data

ACT Scores: 12.7

© Strive 2013

KSEP Trend: Readiness

2012-13 2013-14 2014-150%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

37% 37% 38%

63% 63% 62%

KSEP “Ready” vs. “Not Ready” Trend

Ready to Go Not Ready

KSEP Trend: Classification

Immediate Follow Up

Monthly Monitor Quarterly Monitor Ready to Go0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

7%

23%

34%37%

7%

23%

34%37%

6%

22%

34%38%

KSEP Classification Trend

2012-13 2013-14 2014-15

KSEP Gender

2013: Cramer’s V = .13 (small effect size); 2014: Cramer’s V = .12 (small effect size).(Page 7)

KSEP Ethnicity

2013 Cramer’s V = .12 (small effect size); 2014: Cramer’s V = .09 (small effect size)(Page 9)

KSEP Preschool Attendance

2013: Cramer’s V = .13 (small effect size); 2014: Cramer’s V = .20 (medium effect size).(Page 11)

KSEP Length at Preschool

2013: Cramer’s V = .16 (small effect); 2013: Cramer’s V = .09 (small effect).(Page 12)

KSEP Length at Preschool

2013: Cramer’s V = .16 (small effect); 2013: Cramer’s V = .09 (small effect).(Page 13)

KSEP Type of Preschool

2013: Cramer’s V = .11 (small effect); 2014: Cramer’s V = .06 (small effect).(Page 15)

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FAFSA completion:

24 %

ACT Scores: 12.7

Preliminary Data AnalysisBased on the KSEP data reviewed:• What is this data telling us?• What is this data not telling us?• What data/information is missing?

© Strive 2013

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FAFSA completion:

24 %

ACT Scores: 12.7

Focusing the WorkGaps• Based on the data we have, what are we seeing as

the primary gaps?• Do we know what has worked in the past to address

these?• What else will we need to know?

Priorities• How could we begin to prioritize?• Where could we initially focus the work?• Are we missing any key players?

© Strive 2013

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ACTION COMMITMENTS

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CHECK-OUT: What is your personal and/or

organizational action commitment coming out of today’s meeting?

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