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2000115-Strengthening-Communities-with-Neighborhood-Data

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Using <strong>Data</strong> for <strong>Neighborhood</strong> Improvement 189<br />

tems, variously defined and subject to myriad influences beyond those<br />

shaped by any given community-change effort. This complexity complicates<br />

efforts to outline theories of change that specify causal expectations<br />

between input and intended outcome and makes identifying comparison<br />

communities to establish a counterfactual difficult. In addition,<br />

community-change efforts themselves tend to be similarly complex,<br />

seeking to address several issue areas (social, economic, physical) across<br />

sectors (public, private, nonprofit) and at different levels (individual,<br />

organization, community). They also change over time in response to<br />

emerging challenges and opportunities, seeking to be responsive to local<br />

circumstances and local priorities—all of which makes process and<br />

organization as crucial to the understanding of the possibilities and limitations<br />

of these efforts as any measure of neighborhood change. Finally,<br />

some of the outcomes these efforts seek to effect—“strengthened community<br />

capacity, enhanced social capital, an empowered neighborhood”<br />

(Kubisch, Fulbright-Anderson, and Connell 1998, 4)—are imprecisely<br />

defined and present particular measurement problems for which there<br />

are few widely accepted solutions (Chaskin 2002; Kubisch et al. 1995,<br />

1998; Rossi 1999).<br />

A second set of challenges concerns the nature and availability of data<br />

about neighborhoods. Existing data are of differing quality and are collected<br />

on the basis of different units of analysis (census tracts, Zip Codes,<br />

police precincts, service catchment areas) and over different periods.<br />

Although tools and techniques for aggregating, mapping, and analyzing<br />

small-area data have improved dramatically (Coulton and Hollister<br />

1998), much information relevant to understanding community circumstances<br />

and dynamics—resident perceptions, behaviors, and relational<br />

networks, for example—is not available through existing data sources.<br />

Importantly, it is often these more elusive dimensions, such as the level of<br />

neighborhood social capital, that are of central interest to those involved<br />

in community-building efforts (Chaskin 2002; Kubisch et al. 1998).<br />

A third set of challenges concerns the inclination and capability of<br />

community actors—organizations and individuals—to collect and use<br />

information. Much existing data are held by actors outside the community,<br />

such as government agencies, universities, and private organizations.<br />

Gaining access to this information often requires time-consuming,<br />

sometimes difficult, and not always successful negotiation <strong>with</strong> agency<br />

personnel. In addition, community actors differ in their resources and<br />

capacity to ask researchable questions, work <strong>with</strong> existing information,

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