Determining Sample
Size
Sample size refers to the number of questionaires, interviews, surveys,
etc. you will distribute or conduct during the needs assessment process.
Having a large enough sample to prevent one sample from skewing the
results is important. But, the size of your sample is not nearly as
important as the proper design or the survey instruments. However, if
there is bias in the data, it is unlikely to go away as you collect
more data.
It is more important to obtain a representative sample than a large
sample. Identify the groups you need and put more effort into getting
a high response rate (e.g. by phoning, or sending reminders) rather
than sending out huge numbers of questionnaires and letting a few undefined
volunteers return them.
If you have the time, contacts and/or resources to be more rigorous
about a sampling scheme, you might identify someone familiar with determining
things like margin of error, degree of accuracy, standard deviation,
mean degree of accuracy, etc. With pilot data in hand, a resource person
with some experience could help you work out the total sample size you
need for the kind of accuracy you choose.