If a construct is, is truly valid and has strong, a lot of support for it, then it will demonstrate all of these different types of validity.

That gives you content validity. So that's real easy.

So to recap this segment.

So it's necessary to have both convergence, and divergence to establish, construct validity.

Now let's look at the different forms of validity.

And finally, up to 50 to 70 of software development effort is spent on validation and debugging.

It's not negative, because the line doesn't go down. It goes up.

Right? Uh, then you wanna make sure that the mediator and

Appropriate?

Does the test consist of words that children should know?

That's the inter item method and one of the most common ways we, we estimate reliability in psychology.

It's 2.10x10²⁰, and it's a typical situation in statistics.

normal, adequate, borderline, mildly.

What's fair?

Isolate discontinuities and recalibrate.

This test should be, correlated to a lesser degree with tests of spacial reasoning than it is, with a test of reading comprehension.

valid

25, Patty.

learning vocabulary, should show, lower scores or depressed scores on this test to show some nomological validity.

First we'll talk about reliability and validity in individual variables and individual, individual measures of psychological constructs, and then we'll talk about the idea of sampling.

Let me ask you where you would expect among those choices to be the most plausible prediction to be.

Security guard's looking good.

Pressure

Measure

It could simply be, motivation or the children's ability to take tests in general or, how happy they are in the school environment.

The explored set, on the other hand, is easier.

The second form of validity, convergent validity, is where statistics and correlations come in.

Now, I know what you must be thinking

And you do that by measuring the relative activation of the left prefrontal cortex in the fMRl, versus the right prefrontal cortex.

And then we'll use the ideas we just discussed in, in the section on validity to make sure we have valid instruments and valid constructs.

But as a statistician, looking at the data is really informative.

That way we've shown some, convergent validity.

And how to interpret arguments based on cor relational analysis.

Measurements counts

So I will spend a lot of time in this course talking about things like reliability and validity that you don't typically see in an introductory Statistics textbook or in a first course.

The Gorn's offer is reasonable.

I think it's a reasonable assumption to say that they're 9 equal slices.

We believe that in a one hour flight we can rewrite the textbook on Mars by making high resolution measurements of the atmosphere,

Measurement of an amount of matter.

Readouts are as follows

That meaning, it should converge with that other measure of that same construct.

This all would work out really well if the initial estimate was 5, but we're setting it to 0 with a very large uncertainty of 10,000.

And it doesn't just apply to computation.

We've talked about NHST when we talked about measurement issues and correlation, if you remember.

That fella treating you with kid gloves.