QUOTE(user @ Apr 11 2006, 12:16 PM)

No,
extrapolation of those tests (not only of those, please study some theory of experimentals) is only funny and not scientific,
not worth being posted.
With all the scientific/theoretical and experimental approaches of HA, this "extrapolation" is not possible.
You could "extrapolate" old tests with new tests, if you would have included the "comparable anchor format", ie. a tested encoder of an old test together with the new test probants.
Then you could say, that eg. 4.7 rating of new test matches 4.5 rating of old test or whatever, and to watch, how a relative ranking of newer formats has developed towards older formats/encoders.
I'm sorry, but I know of no formal proof that this or that extrapolation is a valid one and this or that one isn't. If you're looking for black and white, there won't be any.
The conditions for an extrapolation to be
valid are pretty much the same that are required for the test itself to be
valid. There must not be a way to show how it could, in a manner that has a reasonable likelihood of occuring, lead to wrong results. More abstractly and generally, what determines the goodness of a test is whether the results will lead to consistent improvement. And more specifically again: a test that is not solid wouldn't be able to lead to improvement at some point, or at the very least, it can be shown that this would happen.
What people will consider a valid test is also based on the above; but the above is not a black and white issue: the likelyhood the results could get flawed can vary, and the cirumstances under which it can happen, could too. By clearly stating the methodology, you allow everyone to make a decision for himself whether they consider the flaws important or not. If you use a good methodology, most people will consider that is not the case, and your results will be "accepted".
I wrote the above directly concerning this thread, but if you think about it, it's exactly the same what happens in science. If you call it unscientific and funny, you are wrong.
In a discussion, it's valid not to accept a conclusion, extrapolation or test results. But be aware that any data is still better than no data at all (and that's something different from "data so invalid you could as well toss a coin"). Waiving a result because of a minor issue is something you can do, but unless you're willing to come up with some results of your own, don't expect people to take you very seriously.
I'd like to see rjamorim's data and reasoning that leads him to believe an extrapolation would be valid. If we see it, we can think about what the flaws could be, how likely they are, and consequently, how much attention this extrapolation should get.