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Effective Evaluation |
| by Ben Johnson |
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| Introduction |
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| Evaluation is an issue that has steadily
risen up the agenda for all organisations involved in the funding
and delivery of Public Engagement with Science and Technology
(PEST) projects. The following is a very brief guide to some
of the most commonly encountered issues in evaluation, and some
of the ways in which they are resolved. |
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| 1.
Why evaluate? |
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There are several very good reasons why organisers of projects
should want to evaluate their work. My favourite two are:
- a) It is the easiest way to organise a project
- By dealing with evaluative issues at the very beginning of project
planning, you will arrive at a project plan (or business plan)
that will be coherent, rigorous and credible. You will have a
well identified audience, a suitably crafted message and a set
of measurable outcomes; in short you will know what you are trying
to achieve. Putting that plan into action, you will be able to
track what is happening within your project and whether or not
progress is being made. This should allow you to identify problems
early on, before they become critical or too expensive/difficult
to deal with.
- b) Funders like it
- And with good reason. Funders come from a wide variety of backgrounds
and have many different reasons to be involved in PEST. Virtually
the only thing they have in common is the need to demonstrate
that their money has been used efficiently and with the greatest
possible impact. This is good news. If you can demonstrate to
a funder that you are able to deliver a project on time, on budget
and with a set of measured outcomes you will be in a good position
to attract further funding from more sources.
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| 2.
What to do |
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| Design |
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Since evaluation and good project management go hand in
hand, you should be able to answer all of the following questions,
and in the process design both your project and your evaluation.
For illustrative purposes, examples have been drawn from the
Graphic Science project “Science on the Buses”.
- Aim
- What is the aim of your project? Can it be easily stated
in a few words? Can you point to some outcome that you believe
can be achieved?
E.g. To increase the level of participation in informal
debates around science.
- Audience
- Do you have a clearly defined audience in mind? Are they
able to deliver the aims above?
E.g. Young adults (16 – 35)
- Message
- What message do you wish to take to the audience? Does
it support the aims above?
E.g. Science is a major part of daily life.
- Medium
- How will your message be taken to the audience? What sort
of activities will you use?
E.g. Posters inside buses
- Indicators
- What are the indicators of success? How will you know
if you have reached the audience in mind with the message
you had planned?
E.g. Members of the target audience will suggest that science
is an integral part of everyday life.
- Measures
- How will you measure the indicators above? What results
will be considered a success?
E.g. In questionnaire based interviews conducted on buses
showing the campaign, a substantially higher proportion
of the target audience will respond as above when compared
to other age groups.
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| Data
Collection |
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With all of the above built into your project plan, it
should be clear to you where and how you will need to collect
data to evaluate the project. There are a number of methods
available, and your choice should be determined by the nature
of the information you wish to illicit and the nature and
needs of the audience. Some of the most popular methods are:
- Count them
- A simple record of the number of people who have attended
an event, been exposed to a poster etc. Very little can
be said about the experience of the audience or what impressions
they take away with them. This method is cheap, simple and
most useful when describing the scale of a project.
- Questionnaires
- A simple questionnaire can produce some fairly detailed
information on how an audience has reacted to a project.
However, questionnaires must be very brief if they are to
be filled in by members of the public, relying for the most
part on “closed” questions (i.e. responses are
chosen from a list). Response rates will usually be very
low (less than 10%)
- Interviews
- Talking to people and filling in questionnaires as you
go along (so called questionnaire based interviewing), will
generally allow you to probe more deeply and ask more “open”
questions (i.e. responses are statements framed by the respondent).
Care should be taken with questionnaire design and with
the conduct of the interviewers to avoid bias. This technique
is often very resource intensive.
- Focus Groups
- Focus groups can produce very detailed information. However,
they are difficult to arrange and manage and results should
be analysed with great caution. Ideally, this work should
be undertaken by professionals.
- Press Cuttings
- Media surveys will tell you very little about the effectiveness
of your project (unless the media were your target audience).
However, press cuttings can be a very influential chapter
of your final report, especially if you need to demonstrate
that the project really took place.
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| Analysis |
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Depending on the scale of your project, you may find yourself
with a greater or lesser amount of raw data. However you choose
to analyse your data, it is advisable to always enter it into
a spreadsheet; this has the advantage that other people can
check your results or possibly suggest new ways to investigate
the data you already have.
Data entry is made much easier if you number, not only the
questions on a questionnaire, but also each of the possible
responses in closed questions.
Open responses can also be entered into spread sheets for
keyword searches and so on. Open responses can be “coded”
for easier analysis. This involves reading through those responses
and looking for commonalities. Where it seems to you that
a group of respondents are broadly in agreement, each of these
comments can be assigned a standard code letter, and treated
as a statistical group.
Coding is a delicate matter of interpretation and should
conform to a well thought out set of coding criteria. It is
advisable after coding to ask an impartial colleague not familiar
with the project to code the same responses using your criteria
and then check the two versions for conflicts.
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| Reporting |
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Reports should be written in a clear, accessible style,
and should be as short as possible, without skipping any important
details. The length of the evaluation report should be proportional
to the overall budget for the project. Try to make your evaluation
report separate from your reports on financial and other management
matters.
You should always include a short summary of your main findings
and conclusions. Describe your methodology briefly and say
why you chose it. Present your findings clearly, using tables
and charts ONLY if they are obvious and will reduce the word
count substantially. Always ensure that your conclusions actually
do refer to findings presented in the body of the report.
You should try to be self critical throughout this process.
Remember that any mistakes you have made will certainly be
repeated by others if they cannot learn from your experience.
Try to disseminate your report; for example, you might offer
it, via the PSCI-COM
email list, to anyone interested in seeing it, or, if you
can summarise your experiences fairly fluently, why not offer
it to Science
and Public Affairs?
Above all, be honest. Your report is your
opportunity to tell the world exactly what you did and why.
No project has ever been an effortless road to glory, and
many others will be interested to learn from your experience.
Remember that funders, in particular, are always pleased to
find project managers who have learnt valuable lessons from
their experiences.
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