We talked about validity, and reliability, and using NH, NHST as a way to get at reliability of correlations.

So, in this first segment the focus will be on reliability and validity.

The important topics to take away from this segment are validity and reliability.

So, content validity, convergent validity, divergent validity and nomological validity.

Validity

Validity

Validity...

And it's monitoring their reliability.

Validity period

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And finally, there's 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.

So first, reliability.

But remember we are assuming univariate normal distributions, we're assuming linear relationships among variables, we are assuming homoscedasticity, reliability of validity and so on.

So, one, it will depend on the reliability of the, of the variables, so the reliability of x and the reliability of y.

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Checking folder validity

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

And one of the reasons we're not quite ready to jump into inferential statistics is you saw that the, the validity of correlation based arguments depends on the reliability and validity of the measures that go into the correlational analysis.

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The first content validity is the easiest, and there's no statistics involved in evaluating content validity.

That's a pretty good reliability.

I will cover reliability validity measurement theory in more detail then most other books or other courses would and again because I think they are just so essential.

Check the document for validity

We have confirmed its validity.

Is, a difference in predictive validity.

He has a good name for reliability.

I can assure you of his reliability.

That's it's, that's it's estimate of reliability.

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.

As well as, divergent validity. If we only show, convergent validity then we can't be really sure.

And again nice and high again not great reliability estimates but, but good.

Not enough information to check signature validity.

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Then we would be demonstrating convergent validity.

You also need to show, divergent validity.

That way we've shown some, convergent validity.

So, let me first talk about validity.

What's the validity in the real world?

Matching the reliability, base load is actually irrelevant.