So first, reliability.

And it's monitoring their reliability.

That's a pretty good reliability.

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

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.

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

Matching the reliability, base load is actually irrelevant.

If that, if that were a reliability, reliability estimate in my own research I would not wanna use that instrument again.

Cosby's argument concerns the reliability of the Hette Manuscript.

All he has going for him is his reliability.

I'm going to talk about three methods to estimate reliability.

The reliability of the device has not been the issue.

Just remember the magnitude of this correlation will depend on reliability. Easy way to remember that is the reliability of X refers to inaudible .

We'll walk through that. That's how we get estimates of reliability.

In other words, reliability is impossible unless there is a natural warmth.

Microscopy, the standard WHO procedure, reaches from 40 to 60 percent reliability.

And in lecture five, we'll talk a lot about assessment of reliability.

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

And if the correlation is high, that demonstrates some internal consistency or reliability.

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

So, the magnitude of correlations critically depends on the reliability of our measures.

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

That's OK, Chelsea, you need to have six cars. Energy is all about reliability.

So, the fact the reliability estimate is this high, I was, I was impressed.

That's its maximum. So the high correlation you can get is the reliability estimate.

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I don't doubt the reliability of his information because it comes from a trustworthy person.

Tariki (Other Power) and Jiriki (Self Power).

Just run the correlation between X1 and X2, and that provides you with a reliability estimate.

If, if a, if a measure X doesn't correlate with itself, meaning, it shows low reliability.

We are sceptical ourselves and we are running crosschecking routines to determine reliability of this conclusion.

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