0
A Neighborhood Survey in the Nation’s Capital:
Balancing Rigor, Resources, and Respect
www.dcpni.org
@dcpni
1
www.urban.or...
Today’s Panelists
2
Isaac Castillo
Director of Data and Evaluation
DC Promise Neighborhood
Initiative
@isaac_outcomes
Sama...
A Neighborhood Survey
in the Nation’s Capital
• The DC Promise Neighborhood Initiative’s
Neighborhood Survey
• It Takes a ...
The DC Promise Neighborhood Initiative’s
Neighborhood Survey:
When Community, Research, Evaluation,
and Rigor All Come Tog...
As part of the White House Neighborhood
Revitalization Initiative, Promise Neighborhoods
align federal funding streams tha...
What is DCPNI?
• DCPNI is one of 12 communities awarded
funding from the U.S. Department of
Education.
• DCPNI’s focus is ...
Kenilworth-Parkside by the Numbers
• 5,725 people – 1,800 children
• 98% African American, 55% are female
• 50% of adults ...
DCPNI’s Vision
To end intergenerational
poverty in the
Kenilworth-Parkside
community.
8April 28, 2014
DC Promise Neighborh...
THE FIVE PROMISES
9April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
What does DCPNI do?
10
Fund
Community-based organizations
and schools to provide effective
and research based programming
...
DCPNI’s Work at a Glance
11
Fund
Coordinate
Provide
Train
Schools
Partners
Parents
Children
=+
April 28, 2014
DC Promise N...
How Does DCPNI Measure Progress
on Each Promise?
• DCPNI has 15 federal indicators that we are
required to track by the De...
Sample of DCPNI Indicators
• Parents read to their 0-5 year old
children.
• Increased feelings of safety among
community r...
The Need for a Neighborhood Survey
• Collect information directly from community
residents.
• Limited other publically (or...
The Most Significant Challenges
• Very short timeframe – needed to complete entire
process (from survey design to final an...
It Takes a Neighborhood to Design a Survey:
The Methodology Behind the Kenilworth-
Parkside Neighborhood Survey
April 28, ...
Methodology Overview
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
17
• Instrument Design
• IR...
Instrument Design
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
18
• Create a baseline assessm...
Instrument Design
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
19
• Topics include:
• Housing...
IRB Review
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
20
• Institutional Review Board (IRB)...
Sampling
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
21
• Used a list of addresses for 2 cen...
Response Rate
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
22
• Eligible households
• 872 add...
Population Weights
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
23
Sub-
neighborhood Populati...
Doing the Impossible:
Getting Community Residents Excited
About a Neighborhood Survey
April 28, 2014
DC Promise Neighborho...
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
25
Be inclusive
Gain community
support
Build
rel...
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
26
Survey Administration Teams:
Kenilworth-
Park...
27
Community residents:
• Familiar with neighborhood
• Have relationships with survey takers
• Knowledgeable about communi...
28
City Year corps team members :
• Versed in technology
• Able to offer confidentiality (not from K-P)
• Experienced serv...
29
Community residents:
• Recruitment and screening
• Background checks
• Mandatory training session
City Year Corps Team:...
30
NEIGHBORHOOD SURVEY TRAINING
30
• Structure of each
work day
• Safety precautions
• How to introduce
survey
• How to do...
31
Kenilworth-
Parkside
Community
Resident
Advantages of Two-person Teams
• Increased likelihood of “open doors”
• Decreas...
32
Challenges of Two-person Teams
• Massive recruiting and hiring efforts
• DCPNI staff capacity
• Difficult to ensure fid...
33
Step 2: Prioritize cultural sensitivity
• Survey questions tested with community
• Community feedback encouraged throug...
34
Step 3: Add Unique Value
• I heart data booklet
provides data
snapshot
• Data now exists on
topics for which
there are ...
35April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
Step 4: Build Relationships
36April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
• Impacts of Kenilworth-Parkside neighborhood ...
Data Collection in the 21st Century:
The Use of Tablet Computers for a
Neighborhood Survey
April 28, 2014
DC Promise Neigh...
Challenges for Our Survey
• Several teams approaching hundreds of
doorsteps over several points in time
• Each respondent ...
Paper vs Plastic
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
39
Feature Paper Surveys Tablet...
Program
• Used KeySurvey as
our survey platform
– Allowed ability to build conditional sections and
complicated skip patte...
Back-End v. Front-End
• Level one: 159 questions and hundreds of
answer choices
• Level two: Variable names
April 28, 2014...
Back-End v. Front-End
• Level Three: Skip patterns
– Sometimes a simple skip:
April 28, 2014
DC Promise Neighborhood Initi...
Back-End v. Front-End
• Sometimes it’s something else entirely:
April 28, 2014
DC Promise Neighborhood Initiative and
The ...
Back-End v. Front-End
• Everything was automated, making things
easy for everyone—
• Setting:
April 28, 2014
DC Promise Ne...
Back-End v. Front-End (Consent)
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
45
Back-End v. Front-End
(Personalization)
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
46
Back-End v. Front-End
• Once programmed, survey looked like this—
April 28, 2014
DC Promise Neighborhood Initiative and
Th...
Back-End v. Front-End
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
48
Administration:
Who conducted the survey?
• AmeriCorps members and college volunteers
– Read aloud the questions to the ho...
Training
• Back-end was sophisticated but front-end was
very user friendly.
• Training session has some ground rules:
– Tr...
Partnerships in Action
• Morning Briefing (DCPNI Offices)
– Community Resident:
• Receive ten addresses, gift cards (4), s...
Partnerships in Action
• Doorstep
– Community Resident:
• Explain survey and present opportunity for giftcard
• Answer que...
Partnerships in Action
• Post-Survey
– Community Resident:
• Offer respondent choice of incentives
• Everyone signs receip...
Tablets are not Without Challenges
• What isn’t done by hand must be done by
computer
– Careful time-intensive programming...
But the Benefits?
• Benefits greater than challenges (in our case)
• Data/Tablet Security
– End of day wipe and upload to ...
Audience Q&A
April 28, 2014
DC Promise Neighborhood Initiative and
The Urban Institute
56
Isaac Castillo
Director of Data ...
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A Neighborhood Survey in the Nation’s Capital: Balancing Rigor, Resources, and Respect

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Joint presentation by the DC Promise Neighborhood Initiative (DCPNI) and Urban Institute staff at the Eastern Evaluation Research Society's Annual Conference in 2014. Presentation focuses on DCPNI's neighborhood survey - a community wide data collection project. The slides offer tips and suggestions on how to make the process as smooth as possible without compromising data collection rigor.

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  • Importance of validated items, items suggested by the PNI TA team
  • The neighborhood survey instrument includes the following domains: HousingNeighborhood amenitiesAccess to Food Neighborhood Supports Neighborhood Conditions and SafetyHousehold CompositionTravel, Education, Employment and Public AssistanceChild Health, Education, and Well-being
  • For analysesUse population weights to reflect full neighborhoodBe conscious of sample sizes
  • Differences:Respondents—family types are different, some are more/less literate, some have kids and others are singletonsInterviewers—Although everyone undergoes training,…
  • 444 surveys with 757 eligible households, which is equivalent to 59% response rate.
  • Transcript of "A Neighborhood Survey in the Nation’s Capital: Balancing Rigor, Resources, and Respect"

    1. 1. A Neighborhood Survey in the Nation’s Capital: Balancing Rigor, Resources, and Respect www.dcpni.org @dcpni 1 www.urban.org @urbaninstitute Eastern Evaluation Research Society 37th Annual Conference April 28, 2014
    2. 2. Today’s Panelists 2 Isaac Castillo Director of Data and Evaluation DC Promise Neighborhood Initiative @isaac_outcomes Samantha Greenberg Data and Evaluation Specialist DC Promise Neighborhood Initiative @eval_revolution Maia Woluchem Research Assistant Metropolitan Housing and Communities Policy Center Urban Institute Megan Gallagher Senior Research Associate Metropolitan Housing and Communities Policy Center Urban Institute April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    3. 3. A Neighborhood Survey in the Nation’s Capital • The DC Promise Neighborhood Initiative’s Neighborhood Survey • It Takes a Neighborhood to Design a Survey • Getting Community Residents Excited About a Neighborhood Survey. • Data Collection in the 21st Century 3April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    4. 4. The DC Promise Neighborhood Initiative’s Neighborhood Survey: When Community, Research, Evaluation, and Rigor All Come Together April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 4 Isaac Castillo Director of Data and Evaluation DC Promise Neighborhood Initiative Twitter: @Isaac_outcomes
    5. 5. As part of the White House Neighborhood Revitalization Initiative, Promise Neighborhoods align federal funding streams that invest in transforming neighborhoods of concentrated poverty into neighborhoods of opportunity. What is the Promise Neighborhood Approach? The INSPIRATION…. Harlem Children’s Zone (HCZ) inspired the U.S. Department of Education’s Promise Neighborhoods program, which launched in 2010. 5April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    6. 6. What is DCPNI? • DCPNI is one of 12 communities awarded funding from the U.S. Department of Education. • DCPNI’s focus is on the Kenilworth-Parkside neighborhood of Washington, DC. • Founded as an independent nonprofit in 2012 shortly after receiving federal funding. 6April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    7. 7. Kenilworth-Parkside by the Numbers • 5,725 people – 1,800 children • 98% African American, 55% are female • 50% of adults live in poverty • 49% of K-P residents experience food insecurity • 70% of K-P residents have a high school education or higher (compared to 88% in DC) • 85% of households with children are headed by single females 7April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    8. 8. DCPNI’s Vision To end intergenerational poverty in the Kenilworth-Parkside community. 8April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    9. 9. THE FIVE PROMISES 9April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    10. 10. What does DCPNI do? 10 Fund Community-based organizations and schools to provide effective and research based programming Coordinate All services provided in the Promise Neighborhood to maximize effectiveness and avoid duplication Connect Community residents and students to available services provided by partners Train Everyone in the Promise Neighborhood to utilize information and advocate for themselves and their neighbors April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    11. 11. DCPNI’s Work at a Glance 11 Fund Coordinate Provide Train Schools Partners Parents Children =+ April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    12. 12. How Does DCPNI Measure Progress on Each Promise? • DCPNI has 15 federal indicators that we are required to track by the Department of Education. • Developing additional indicators on issues that are unique to Kenilworth-Parkside. – Teen birth rate – Mother’s educational attainment – Food insecurity • These indicators help us determine if we are progressing towards the Promises. 12April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    13. 13. Sample of DCPNI Indicators • Parents read to their 0-5 year old children. • Increased feelings of safety among community residents. • Children ages 0-5 that have a medical home. 13April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute These data points need to be collected directly from community residents.
    14. 14. The Need for a Neighborhood Survey • Collect information directly from community residents. • Limited other publically (or privately) available data sets for the Kenilworth-Parkside population. • Desire to measure community level change over time. • What little data that was available was old, limited to parts of the community, or collected using low rigor methods. 14April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    15. 15. The Most Significant Challenges • Very short timeframe – needed to complete entire process (from survey design to final analysis of data) in 9 months. • Low levels of literacy in the community (and low comfort level with technology). • High levels of suspicion of outsiders (and even suspicion of those from another part of the community). • High levels of distrust of government and government-like entities. 15April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    16. 16. It Takes a Neighborhood to Design a Survey: The Methodology Behind the Kenilworth- Parkside Neighborhood Survey April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 16 Megan Gallagher Senior Research Associate Metropolitan Housing and Communities Policy Center Urban Institute
    17. 17. Methodology Overview April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 17 • Instrument Design • IRB Review • Sampling • Sampling frame • Strata, or key groupings • Random selection • Response Rates • Population Weights
    18. 18. Instrument Design April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 18 • Create a baseline assessment of the neighborhood from which to assess change • Many considerations, including • Department of Education Government Performance and Results Act (GPRA) indicators • DCPNI programmatic priorities • DCHA Choice Neighborhoods data needs • Urban Institute suggestions • Resident interests and concerns • Instrument length, nature of questions
    19. 19. Instrument Design April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 19 • Topics include: • Housing • Neighborhood amenities • Access to Food • Neighborhood Supports • Neighborhood Conditions and Safety • Household Composition • Travel, Education, Employment and Public Assistance • Child Health, Education, and Well-being
    20. 20. IRB Review April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 20 • Institutional Review Board (IRB) makes sure that research minimizes risks to human subjects • Reviewed and approved the plan for: • Requiring confidentiality pledges from staff • Obtaining consent from research subject • Roles for community resident and City Year corps member • Providing incentives for completed surveys • Keeping data confidential
    21. 21. Sampling April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 21 • Used a list of addresses for 2 census tracts that make up Kenilworth Parkside • Separated them into 3 sub-neighborhoods, or strata • Group 1: Kenilworth Courts • Group 2: KPRMC, Mayfair, Paradise, Lotus Square and Victory Square • Group 3: Eastland Gardens and Paradise • Randomly select addresses within each sub- neighborhood (SAS Proc Surveyselect) • Oversampled Group 1
    22. 22. Response Rate April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 22 • Eligible households • 872 addresses randomly selected • 115 unoccupied • 872 – 115 = 757 eligible households • Completed surveys • 444 completes • Response rate • 444 / 757 = 59% response rate
    23. 23. Population Weights April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 23 Sub- neighborhood Population % of Population Completed Surveys % of Surveys Weight Group 1: Kenilworth Courts 283 12% 133 30% =12%/30% =.3857 Group 2: KPRMC, Mayfair, Paradise, Lotus Square and Victory Square 1620 68% 217 49% =68%/49% =1.4012 Group 3: Eastland Gardens and Paradise 476 20% 94 21% =20%/21% =.9731 Total 2379 100% 444 100% 1.0000
    24. 24. Doing the Impossible: Getting Community Residents Excited About a Neighborhood Survey April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 24 Samantha Greenberg Data and Evaluation Specialist DC Promise Neighborhood Initiative Twitter: @eval_revolution
    25. 25. April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 25 Be inclusive Gain community support Build relationships Be culturally sensitive Add unique value Goals for Kenilworth-Parkside Survey:
    26. 26. April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 26 Survey Administration Teams: Kenilworth- Parkside Community Resident • Navigated the neighborhood • Greeted person at door • Introduced survey • Documented households visited • Handled incentives • Consent process • Asked survey questions • Documented answers on tablet • Handled technology Step 1: Build an Inclusive Process
    27. 27. 27 Community residents: • Familiar with neighborhood • Have relationships with survey takers • Knowledgeable about community history and assets Step 1: Build an Inclusive Process April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    28. 28. 28 City Year corps team members : • Versed in technology • Able to offer confidentiality (not from K-P) • Experienced serving D.C. communities Step 1: Build an Inclusive Process April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    29. 29. 29 Community residents: • Recruitment and screening • Background checks • Mandatory training session City Year Corps Team: • Partnership with City Year • Recruitment at full team event • Mandatory training session Hiring Process April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    30. 30. 30 NEIGHBORHOOD SURVEY TRAINING 30 • Structure of each work day • Safety precautions • How to introduce survey • How to document responses from potential survey respondents Training Process April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    31. 31. 31 Kenilworth- Parkside Community Resident Advantages of Two-person Teams • Increased likelihood of “open doors” • Decreased # of survey days needed • Easy navigation of community • Division of labor • Two people available to answer questions • Balance between confidentiality and trust • Increased safety April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    32. 32. 32 Challenges of Two-person Teams • Massive recruiting and hiring efforts • DCPNI staff capacity • Difficult to ensure fidelity • Downtime during surveys • Answering questions about survey when approached on street Kenilworth- Parkside Community Resident April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    33. 33. 33 Step 2: Prioritize cultural sensitivity • Survey questions tested with community • Community feedback encouraged throughout • Survey administrators participated in focus group • Concerns from community members noted for next survey April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    34. 34. 34 Step 3: Add Unique Value • I heart data booklet provides data snapshot • Data now exists on topics for which there are no other sources • Ongoing conversations with the K-P community about data April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute
    35. 35. 35April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute Step 4: Build Relationships
    36. 36. 36April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute • Impacts of Kenilworth-Parkside neighborhood survey: Inclusive data collection Gained community support Built relationships Culturally sensitive survey Unique data collected Results: Community Support for Survey:
    37. 37. Data Collection in the 21st Century: The Use of Tablet Computers for a Neighborhood Survey April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 37 Maia Woluchem Research Assistant Metropolitan Housing and Communities Policy Center Urban Institute mwoluchem@urban.org
    38. 38. Challenges for Our Survey • Several teams approaching hundreds of doorsteps over several points in time • Each respondent was different from the last • Each interviewer is different from the last • Presenting several challenges – Monetary costs – Confidentiality – Standardization – Flexibility – Ease April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 38
    39. 39. Paper vs Plastic April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 39 Feature Paper Surveys Tablet Surveys Money Printing supplies, associated materials, post survey dataentry $200 per tablet,KeySurvey subscription Confidentiality Maintaining security of documentsin field, post survey Tablet’s secure connection and privacy capabilities Standardization Interview cues Flexibility May involve skipping pages Skip logic, conditionality Ease
    40. 40. Program • Used KeySurvey as our survey platform – Allowed ability to build conditional sections and complicated skip patterns – Allowed personalization based on household traits • Cost-reducing in terms of time, money and flexibility April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 40
    41. 41. Back-End v. Front-End • Level one: 159 questions and hundreds of answer choices • Level two: Variable names April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 41
    42. 42. Back-End v. Front-End • Level Three: Skip patterns – Sometimes a simple skip: April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 42
    43. 43. Back-End v. Front-End • Sometimes it’s something else entirely: April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 43
    44. 44. Back-End v. Front-End • Everything was automated, making things easy for everyone— • Setting: April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 44
    45. 45. Back-End v. Front-End (Consent) April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 45
    46. 46. Back-End v. Front-End (Personalization) April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 46
    47. 47. Back-End v. Front-End • Once programmed, survey looked like this— April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 47
    48. 48. Back-End v. Front-End April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 48
    49. 49. Administration: Who conducted the survey? • AmeriCorps members and college volunteers – Read aloud the questions to the householder – Householder responds verbally • Why? – Literacy rates among the community – Unfamiliarity with the technology – Standardization of questions and answers April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 49
    50. 50. Training • Back-end was sophisticated but front-end was very user friendly. • Training session has some ground rules: – Trust the programming – Don’t be pushy • And some golden rules: – Read the exact wording of the question as presented – Obtain consent – Work with your partner April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 50
    51. 51. Partnerships in Action • Morning Briefing (DCPNI Offices) – Community Resident: • Receive ten addresses, gift cards (4), survey receipts, door hangers, and a walkie talkie – Interviewer: • Receive same ten addresses and a tablet computer • Walk – Resident: Fill out tracking form to document address condition April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 51
    52. 52. Partnerships in Action • Doorstep – Community Resident: • Explain survey and present opportunity for giftcard • Answer questions householder may have • Document what happens – Interviewer: • Obtain consent • Administer survey • Administration (Interviewer & Community Resident) – At a comfortable place – Resident Role April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 52
    53. 53. Partnerships in Action • Post-Survey – Community Resident: • Offer respondent choice of incentives • Everyone signs receipt • What if no one is home? – Resident: • Leave door hanger • Document address so that another team could make attempt April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 53
    54. 54. Tablets are not Without Challenges • What isn’t done by hand must be done by computer – Careful time-intensive programming necessary • Technical difficulties – Potential for tablet failure (need for backup tablets) • Post-launch errors are data errors – Examples of missing answers or misplaced variables – Typing answers in leads to some data quality errors April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 54
    55. 55. But the Benefits? • Benefits greater than challenges (in our case) • Data/Tablet Security – End of day wipe and upload to UI SFTP – Confidential drives at UI – Cerberus for tablet security • Substantial results – Over four weekends in October and November, got 444 responses, a response rate of 59% overall April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 55
    56. 56. Audience Q&A April 28, 2014 DC Promise Neighborhood Initiative and The Urban Institute 56 Isaac Castillo Director of Data and Evaluation DC Promise Neighborhood Initiative @isaac_outcomes Samantha Greenberg Data and Evaluation Specialist DC Promise Neighborhood Initiative @eval_revolution Maia Woluchem Research Assistant Metropolitan Housing and Communities Policy Center Urban Institute Megan Gallagher Research Associate Metropolitan Housing and Communities Policy Center Urban Institute
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