The Research Practices and Needs of Non-Profit Organizations in an Urban Center
The Journal of Sociology & Social Welfare
Volume 34
Issue 4 December
Article 6
2007
The Research Practices and Needs of Non-Profit Organizations in
an Urban Center
Randy Stoecker
University of Wisconsin
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Center," The Journal of Sociology & Social Welfare: Vol. 34 : Iss. 4 , Article 6.
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The Research Practices and Needs
of Non-Profit Organizations
in an Urban Center
RANDY STOECKER
University of Wisconsin
Department of Rural Sociology
Center for Community Economic Development
How do nonprofit organizationsuse data and research?What challenges do they face in conducting research and managing data?
In spring of 2004, 80 nonprofit organizationsin Toledo, Ohio returned a survey on their research and data needs and practices.
The survey found that nonprofits collect data on a wide variety
of topics, but do not use much of the data that they collect, and do
not collect much data that could be useful for other groups, particularly neighborhood organizations.The average nonprofit in the
survey hasfive employees andfour volunteers who, together, spend
56 hours per week collecting, managing, and reporting on data.
Nearly half of the organizations have no staff or volunteers with
formal research training.The others have only one or two people
with formal research training.More than half indicated a need for
trainingon how to conduct evaluations, how to use data management software, how to conduct research, and how tofindfunding.
Keywords: nonprofits, research methods, data management
Introduction
Of all the capacity issues facing nonprofit organizations
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in the United States, perhaps none has been so neglected as
their research data needs. There are numerous training and
technical assistance resources for various programming areas,
organizational development, and information technology. But,
outside of evaluation research, the crucial area of collecting,
managing, analyzing and using research data is neglected by
the trainers and the researchers working with nonprofits. And
that is a serious neglect. Grant proposals, evaluations, fiscal
monitoring, resource allocation, and overall project planning
are all dependent on tight research and solid information. The
types of research data needed for those activities can range
from census data to client case data to all varieties of specialty
data for different nonprofits, making research data practice a
highly complex and time-consuming part of nonprofit work.
What do I mean by "research data practice"? Basically, I
am concerned with the systematic collection of information
to inform nonprofit program development and evaluation.
This includes typically-recognized research practices such as
surveys. It also includes systematic collection of client or membership data that could be, though it is often not, analyzed for
patterns or categories. Research data practice does not have
to be informed by a theoretical or disciplinary-based question and, instead, may be informed by a practical need such
as "what are the best practices in the area of youth programming" (Stoecker, 2005). This research focuses on what research
data nonprofit organizations collect, how they use that data,
and what challenges they face in collecting and using research
data. It is important to understand that the concept of research
data includes most of the information that nonprofits collect,
including client-level data that may not be viewed as research
data by the organization. Such information, however, can often
be very informative in helping nonprofits understand trends
in who they are serving and in supplying the sampling frame
from which they can conduct evaluation research. That such
data is often not seen as research data is part of the problem.
The lack of focus on nonprofits' research data practice
needs has real consequences. This research project began as an
outgrowth of my experience conducting participatory evaluation research with a local neighborhood organization. As we
attempted to collect outcome data for the organization, we
Non-Profit Organizationsin an Urban Center
99
realized how little data there was, and how difficult it was to
fill the data gaps. Consequently, a group of us concerned about
this issue set out to determine the state of the art of nonprofit
information management.
The Lack of Data on Nonprofit Research
Needs and Practices
We know little about the research data needs, practices,
and capacities of small and medium size nonprofit organizations. In fact, in the broad area of nonprofit research, research
data practice is almost completely uncharted. That doesn't
mean we lack knowledge about research and data management methods that nonprofits could use. Indeed, there are
voluminous literatures on everything from needs assessments
and asset assessments to evaluation and a wide variety of other
data practices in between that are common to nonprofit organizations. But we simply have no knowledge of the extent to
which nonprofits effectively deploy those methods to collect,
manage, and use research data and other information. There
is only one published case study of a nonprofit's information
management strategies (Houchin, 2002), and one other published report on an attempt to build nonprofit research and
data capacity (Dattalo, 1998).
We do have some research suggesting that nonprofits'
needs in the area of research data practices are pronounced.
Perception gaps between nonprofit service recipients and
providers, for example, not only exist, but are often unrecognized, particularly for neighborhood organizations (Kissane
& Gingerich, 2004). And it is in neighborhood organizations
where the research data deficit may be most pronounced
because most data in the nonprofit realm is not coded by neighborhood. Nonprofits engaged in policy battles also need to
learn about and engage in policy research methods to have any
hope of impacting social policy (Fox, 2001; Appleton, 2003).
And nonprofit management experts (Letts, Ryan, & Grossman,
1999; Bryson, 1995) emphasize the importance of research for
effective nonprofit mission accomplishment.
It is in the arena of evaluation where research and data management issues have been most discussed (Mancini, Marek,
100
Journal of Sociology & Social Welfare
Byrne, & Huebner, 2004). Without developing their own data
and research ca (...truncated)