>> Well suppose that I want to measure creativity and
I design a test for creativity.
But I'm not sure whether the tests measures what it is intended to measure.
So first I need a theory about creativity.
Which tells me without a, a theory.
You cannot evaluate whether a test measures,
what it should matter, measure of course.
And suppose that my theory says that creative people.
Are generally self employed whereas uncreative people
are generally employed by an employer.
>> Right.
>> And in an experimental research you can for
example to take a, compare two groups and see.
Whether in fact the people are self employed have
a higher score on my validity test than people who are employed by a employer.
Well, suppose that is true, that indeed people who are self employed.
Have a higher score on my creativity test than people employed by an employer.
Then, I have contributed a little bit to the validity but I am not done yet,
as you can possibly imagine.
>> Yeah. >> Lots of other research has been done
before we can safely say, well this test measures creativity.
And that's what I mean by the fact that.
It cannot, validity cannot be captured in a, say, by a single coefficient.
It it needs a lot of work, a lot of >> And a lot of different ways.
>> Academic research, and all kinds of different ways.
Yes. >> Mm 'kay.