A pilot study is a “pre-study” of your fuller study. You may think of it
as a
miniature version
of your project. You may limit it by your using fewer subjects
than you plan to
include in the full study, or you may limit it
because your
scope is smaller
in some other way; for example, the range of types of subjects
may be more
limited (e.g., you use only undergraduates in the pilot when you
plan to use a
broader range of the general population in the full study) or the
procedures may be
more limited (e.g., you test people on their ability to recall a
certain kind of
word when in the full study you plan to examine
people’s ablity
to recall a
greater range of words). A pilot study can help you work out
some of
the procedural
bugs even though you know it is not likely to add anything new
or important to
your main study. Here are
some more reasons to consider a
pilot study:
1. It permits
preliminary testing of the hypotheses that leads to testing more
precise
hypotheses in the main study. It may lead to
changing some
hypotheses,
dropping some, or developing new hypotheses.
2. It often
provides the researcher with ideas, approaches, and clues you may
not have foreseen
before conducting the pilot study. Such ideas and
clues
increase the
chances of getting clearer findings in the main study.
3. It permits a
thorough check of the planned statistical and analytical
procedures,
giving you a chance to evaluate their usefulness for the data.
You may then be
able to make needed alterations in the data collecting
methods, and
therefore, analyze data in the main study more
efficiently.
4. It can greatly
reduce the number of unanticipated problems because you
have an
opportunity to redesign parts of your study to overcome
difficulties
that the pilot study reveals.
5. It may save a
lot of time and money. Unfortunately, many research ideas
that seem to
show great promise are unproductive when actually carried out.
The pilot study almost always provides
enough data for the researcher to
decide whether
to go ahead with the main study.
6. In the pilot study, the researcher may
try out a number of alternative
measures and
then select those that produce the clearest results for the main
study.