so really a couple of couple of things
to mention around this, this very central concept.
And we've covered this is several different ways
before, talking about putting the time in upfront.
But
I've found especially end survey research that creating
a good questionnaire or survey, actually is quite difficult.
It takes some time and, and we'll go through the different steps
of, of doing that the right way in the next several slides.
But, but if you do it, then, then you get to
the end of the study and the data are actually quite good.
Assuming you've, you've posed a good research question and, and
the data are quite easy to analyze and then you
know, you're own to publish your results.
On, on the flip side of that coin, simple questionnaires are easy to create.
You know, it's, it's quite easy to throw a bunch of questions in and, and not give
it a lot of thought, think you're getting
to, to the right answer with your research question.
Easy to roll those out very quickly, but but
a lot of times what you find is that you,
you take those shortcuts up front and, and you
get to the end of the study and you've got
data that's difficult or even impossible to analyze.
And so again because you're not in there in the room with the, the volunteer.
Because many times you're sending out many of these at once
and you've got, kind of got one shot to get it right.
It essential that you that you put good time
in up front even though it's difficult and takes time,
it'll save time and it'll certainly improve the quality
of your study to do it right from the beginning.
So, so with all of that in mind,
I'm going to go through a process where, where we look
at navigating the, the creation and administration of survey instruments.
Using seven different domains starting with
defining scope and ending with data analysis.
In each of these different domains we've got one or two
or sometimes more principles that, that we'll stress along the way.
So the first of those core areas is defining the scope.
So again it's a scientific study we're
talking about.
We want to make sure That, before we begin, we're defining specific aims.
We also need to, just as with any scientific study, we
want to make sure that we're defining the population of interest.