The time is about
to come when all those fresh-faced final year empirical project students will
be filing through our office doors looking for the study that’s going to give
them the first class degree they are craving for.
Unfortunately, as
a supervisor you’ll find that their mind isn’t focused on doing scientific
research – it’s focused on getting a good mark for their project. This means
that most of your time as a supervisor will be spent not on training your
undergraduate supervisees to do research (as it should be), but on (1) telling
them what they have to do to write up a good project, and (2) reassuring them
that they’ve understood what you said is required for writing up a good
project.
As an empirical
scientist you might believe that the most important part of the training for
your undergraduate project students is learning about experimental design and
about statistical analysis. Wrong. Absolutely no over-arching information about
experimental design will be absorbed by the student – only that they lie awake
at night needing to know how many participants they will need to test and –
more importantly – how will they get those participants?
Most project
students have a small notebook they’ve bought from W H Smiths and in which they
write down the pressing questions they need to ask their supervisor at the next
supervision session (just in case they may forget). Questions like “Can I do
this experiment in my bathroom in my student flat?”, “Can I test my mother’s
budgerigar if I’m short of participants?”, “Will it matter if my breath smells
of cider when I’m coding my data?”, “Do I need to worry about where I put the
decimal point?”, “Will it affect my participants’ behaviour if I dye my hair
day-glow orange in the middle of the study?”… and so on.
I believe that
project students ask these kinds of questions because none of these questions
are properly addressed or answered in standard Research Methods textbooks – an
enormous oversight! Research Methods textbooks mince around talking about
balanced designs, counterbalancing, control groups, demand effects, and so on.
But what about the real practical issues facing a final year empirical project
student? “How will I complete my experiment if I split up with my boyfriend and
can’t use his extended local family as participants?”, “Where can I find those
jumbo paper clips that I need to keep all the response sheets together?”, “Why
do I need to run a control condition when I could be skiing in Austria?”
Perhaps we need
some new, young, motivated research methods authors to provide us with the
textbooks that will answer the full range of questions asked by undergraduate
empirical project students. Sadly, at present, these textbooks answer the
questions that students aren’t interested in asking – let’s get real with
undergraduate research training!
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