So that's weighted response rate, and here's what comes out of that.

I've got in this column mean, in this column median,

in this column weighted response rate, and I've got those separately for

each of the five response propensity classes.

And you scan across here there's some difference, but

they're not tremendous, so the biggest

difference is in that first one that had a string of outliers in there.

So you might in this case pick

maybe the median response rate, and it certainly be

a intermediate choice between weighted response rate in the mean,

at least in that first response propensity class.

But, that, it's partly a matter of taste.

There is some theory, or some empirical evidence that says

you might just want to use the underweighted response rate.

But, it's a choice that you make as an analyst, so

that covers what I wanted to say about non-response adjustments in

the non-response software that's available to do it.

The other algorithm I mentioned earlier was regression trees, so

I haven't given you a numerical or software example of that.

But that's certainly still good option, and you should keep that in mind.