Secondary data collection. Collecting Data International Intelligence.
Agenda for Children Tomorrowrfp.cofcca.org/Docs/ACT_Presentation_1.pdf3 Presentation Overview: Using...
Transcript of Agenda for Children Tomorrowrfp.cofcca.org/Docs/ACT_Presentation_1.pdf3 Presentation Overview: Using...
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Community and the ACS RFP Informational Forum
October 28 and 30, 2008
Agenda for Children TomorrowFitting the Pieces Together for Children and Families
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New York City Children’s ServicesRequest For Proposal
Child Welfare Services Including Community Coalitions
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Presentation Overview:Using data to support your proposal
Why do you need data?Questions to ask before collecting dataExamples of relevant data and how to search for dataVisualizing the dataQuestions to ask when analyzing the dataInterpreting dataData indicating the needs of the familiesTips for presenting data in the proposalCommunity assets
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Data supports needData substantiates argumentsData indicates trendsData helps narrow focusData helps broaden perspective
Why do you need data?
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What is the demography of my constituency? What is my niche and what data do I need to substantiate my role?What available data addresses the child welfare issues in my constituency?What are the contributing factors and trends?What are the needs of the families? Are the needs of the families being met?Based on your data, what are the “community assets”?
Questions to ask before collecting data
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Demographic informationRace, ethnicity, religion, national origin, # of families, children, age group, composition of household
Social informationEnglish language proficiency, crime rate, # of children enrolledin school, child care data, foster care placement, types of abuse/neglect reports, drug/alcohol addiction….
Economic information(Un)employment rate, median income, home ownership or home sales (or foreclosure), number of CBOs, health care and social assistance
Examples of relevant data available
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Sources:NYC Children’s Services/Statistics & links (http://www.nyc.gov/html/acs/html/statistics/child_youlfare_links.shtml)
Citizens’ Committee for Children (Keeping Track) (http://www.cccnewyorkkeepingtrack.org/Community_Search1.asp)
Council of Family and Child Caring Agencies (COFCCA) (http://rfp.cofcca.org/Introduction.aspx)
NYC Department of Health & Mental Hygiene (Community Data)
(http://www.nyc.gov/html/doh/html/data/data.shtml)
Kids’ Well-being Indicators Clearinghouse (http://www.nyskwic.org)
Department of Education (http://schools.nyc.gov/default.htm)
NYC Department of City Planning (GeoQuery) (Census FactFinder)
(http://www.nyc.gov/html/dcp/home.html)
U.S. Census Bureau (www.census.gov)
Where and how to find data
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Abuse/Neglect Report by Community District
2003 - 2007
Examples of available data on ACS’s website(http://www.nyc.gov/html/acs/html/statistics/child_wellfare_links.shtml)
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Example of available data on ACS’s website (http://www.nyc.gov/html/acs/html/statistics/child_wellfare_links.shtml)
Placement Statistics by Community District
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Example of available data on ACS’s website (http://www.nyc.gov/html/acs/html/statistics/child_wellfare_links.shtml)
Community Snapshot
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Example of how to search for data
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Example (continued)
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Example (continued)
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Example (continued)
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Example (continued)
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Example (continued)
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Example (continued)
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End of Example
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Demography of Highbridge
Latino66%
Other2%
White1%
Asian1%
Black30%
What is the demography of your constituency?
What is my niche? What data do you need to substantiate my role?
Visualizing the data
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Ethnic Subgroups: Latinos
Other59%
Puerto Rican35%
Cuban1%
Mexican5%
* Data Discrepancy:Latinos: 29,662 (ACS)Latinos: 89,852 (CCC)
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Demographic Data and Child Welfare
BX04: Families living below poverty line
1.843
8.602
02468
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Below PovertyLine (2 Family)
Below PovertyLine (Single)
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Children <18 living under poverty line:
Total Pop. of children <18 = 142,191Living under poverty line = 49% ~ 69,674
* Total population of BX04: Highbridge/Concourse = 142,191 (ACS)Percentage of People living below poverty line = 6%
•Avoid broad, general data that is not a strong indicator of child welfare. •Compare it with the “larger picture”. Look at it critically. •Ask what the data is and is not telling you.
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Visualizing the data (continued)
Abuse/Neglect Trend in Highbridge
1.5
2
2.5
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3.5
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2003 2004 2005 2006 2007
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Reports Children
What data do you need to substantiate your role?
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Examples of questions to ask when analyzing data:
Is there a trend in reports of abuse/neglect? Why?Is the demography changing? What are the contributing factors?
Is there a correlation? What do the experts say?What are the trends?
Compare with 2006 data (or prior)Identify the patterns and trends (upward or downward?)
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Interpreting dataHighbridge:
Child victimization rate (25.8% ~ 16.7% NYC)Reported domestic violence incidents (961 ~ 30,884 NYC)Number of preventive services (638 ~ 13,713 NYC)Number of foster care placement (overall) (729 ~ 16,911 NYC)Reasons for placement (Abuse/Neglect, PINS, JD, Volun, Other)Head Start/Child Care enrollment rate ( 1,618 ~ 54,557 NYC)What else do you need to know? Should you compare data?
What do these numbers tell you? Do these numbers relate to your experience? Where do you stand vis-à-vis the city? Does it matter?
What does your internal documentation and your on-the-ground experience tell you? How do you substantiate that?
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Data indicating the needs of the familiesNow that you have data, contributing factors, and trends, can you infer the needs of the families?
What kind of preventive services do they need?What kind of support services do the families need?
* Tips:Emphasize on the needs through data that are relevant for this contract, and the needs that directly affect the well-being of children
Are the needs of the families being met?Does the data indicate service gaps?Who is providing these services?
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Tips for presenting data in the proposalAddress what was asked in the RFPChoose 3-5 contributing factors that your CBO can address or has expertise inAvoid “junk data” (Too much data can be distracting)Use graphs to show trends (pictures speak a thousand words)Use data to back-up your claim. Avoid too much dependence on dataGive anecdotal information from your work on the groundEnsure that your data substantiates what you are proposingBe precise and relevant
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