Analyze, Report and Use your Findings
This is a crucial component of any evaluation. If you don’t take
the time to analyze and then report and act on your findings, the entire
exercise is nothing more than a research exercise. You need to be able
to use the information you have so carefully gathered to make informed
decisions leading to program improvement.
The first thing to do is double check for errors. It is all too easy
to make a mistake when tabulating data, so check for accuracy. Once
you have done that, you can calculate totals, percents, averages and
so on.
Next, you might want to break out the information into key characteristics,
particularly if you have identified factors that could potentially influence
outcomes. For example, you might want to look at gender, age, previous
education, training goal, etc. as we discussed earlier in the workshop.
If possible, have someone review your work … are there other
sources of data that could have been used? For example, did you use
both the IMS and the exit survey to research goal achievements. Do your
numbers add up? Is your analysis fair and accurate and does it clearly
represent the results of the evaluation? Does the analysis make sense?
Did you use clear language? Does the report give you enough information
without being too concise or is it too long?
Factors that can Influence Outcomes
Naturally, levels of achievement of outcomes will be
different for each individual. But remember, although
you are collecting individual data, you are not reporting
on individual results – you
are reporting on program results. You do this by first collecting and
analyzing individual data and then compiling the information. For example,
you could conduct a series of 20 individual interviews with parents
from your family literacy program but then report that 15 respondents
(or 75%) indicate they are regularly reading to their children.
When you start to analyze the data you have collected, you will notice
trends. For example, you might discover that more male learners report
reading to their children than female learners. Or you might discover
that older learners are less likely to use a banking machine than younger
learners.
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