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st: RE: Re: Re: ST: one-tailed test
In cases in which the P-value is left behind as
a returned value (see results of -return list- or
-ereturn li-), dividing by 2 will give you
several decimal digits of precision.
As usual, that precision could be spurious if underlying
assumptions are not valid, or if data are coarsely or poorly
measured, etc., but you can get a lot of precision
out of Stata.
In cases in which there is no such returned P-value,
you may have to dig down and fire up a function
or two, but the precision is there in principle.
The key point is that you are _not_ limited to
taking what is printed out and dividing _that_
> thanks again,
> but i do not think this is precise, are there other way to go?
> > Levy Lee asks how to perform a one-tailed test after a
> regression and
> > Richard Williams responds: "ust look at the printout, and
> see (a) is
> > the coefficient for x2 positive, and (b) is it significant
> at the .10
> > level (or double whatever alpha level it is you want to
> chose). You
> > don't need
> > to do any additional analyses, the information you need is already
> > there."
> > Well, not quite. Stata (annoyingly) always reports 2-tailed tests,
> > whereas one-tailed tests are clearly more appropriate. So
> you need to
> > divide the p level by 2.
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