I wish I had thought of that.  It seems shady and I'm not sure the journal of 
neuroscience would have bought the argument, but hey...

--
Marc Carter, PhD
Associate Professor and Chair
Department of Psychology
College of Arts & Sciences
Baker University
--

> -----Original Message-----
> From: Jim Clark [mailto:j.cl...@uwinnipeg.ca]
> Sent: Friday, January 07, 2011 1:30 PM
> To: Teaching in the Psychological Sciences (TIPS)
> Subject: RE: [tips] Don't Be Surprised If Your Physics
> Colleagues Snicker When They Pass You In the Hall
>
> Hi
>
> But one-tailed is used generally (figuratively?) to refer to
> directional alternative hypotheses (e.g., u1 > u2), and the
> standard F test is non-directional (i.e., u1>u2 OR u2>u1),
> even though it only involves (literally) one-tail of the
> distribution.  Assuming only two groups or a single df
> contrast (e.g., linear), the directional F would have a p of
> .07/2 = .035.
>
> If you want to have some "fun" with students, try to explain
> to them why they need to look up the critical value of F for
> .10 to do a directional (i.e., figurative one-tail) test,
> although it does help for them to think of the t distribution
> folded over and that t**2 = F.
>
> Take care
> Jim
>
> James M. Clark
> Professor of Psychology
> 204-786-9757
> 204-774-4134 Fax
> j.cl...@uwinnipeg.ca
>
> >>> Marc Carter <marc.car...@bakeru.edu> 07-Jan-11 11:45 AM >>>
>
> Ever since one of my grad faculty asked me to do a one-tailed
> F-test, I hate one-tailed tests.
>
> I'm serious -- he really did.  The probability of getting the
> F we got was .07, and he said "Can't you do a one-tailed
> test?"  I explained -- calmly, I believe -- that F *is*
> effectively a one-tailed test...
>
> m
>
> --
> Marc Carter, PhD
> Associate Professor and Chair
> Department of Psychology
> College of Arts & Sciences
> Baker University
> --
>
> > -----Original Message-----
> > From: Jim Clark [mailto:j.cl...@uwinnipeg.ca]
> > Sent: Friday, January 07, 2011 11:27 AM
> > To: Teaching in the Psychological Sciences (TIPS)
> > Subject: RE: [tips] Don't Be Surprised If Your Physics Colleagues
> > Snicker When They Pass You In the Hall
> >
> > Hi
> >
> > I think of one-tailed (or Abelson's 1.5 tailed) tests as a kind of
> > quasi-bayesian adjustment to the standard non-directional
> test.  That
> > is, given empirical or theoretical grounds for expecting an
> outcome in
> > one direction, then one needs less evidence from the present study
> > before moving in that direction.  I also sometimes use a perceptual
> > metaphor ... primed to expect some stimulus (e.g., meeting
> someone in
> > a crowded room), one needs less perceptual input before identifying
> > the person.
> >
> > Also, it would appear that the same issues would arise with planned
> > versus post hoc comparisons.  That is, post hoc requires some
> > adjustment for multiple tests, whereas planned may not
> because of the
> > expectation of a predicted pattern.
> >
> > Take care
> > Jim
> >
> > James M. Clark
> > Professor of Psychology
> > 204-786-9757
> > 204-774-4134 Fax
> > j.cl...@uwinnipeg.ca
> >
> > >>> "Bourgeois, Dr. Martin" <mbour...@fgcu.edu> 07-Jan-11
> 11:06 AM >>>
> > Robert Abelson, in his excellent book Statistics as Principled
> > Argument, advocates the use of what he calls a
> one-and-a-half tailed
> > test for directional predictions; for example, you could
> set the alpha
> > level at .04 in the tail of the predicted direction and .01 in the
> > unpredicted direction.
> > I always thought that was a neat idea, but I've never seen
> anyone use
> > it.
> >
> > ________________________________________
> > From: sbl...@ubishops.ca [sbl...@ubishops.ca]
> > Sent: Friday, January 07, 2011 11:04 AM
> > To: Teaching in the Psychological Sciences (TIPS)
> > Subject: Re: [tips] Don't Be Surprised If Your Physics Colleagues
> > Snicker When They Pass You In the Hall
> >
> > On 6 Jan 2011, I wrote in response to Martin Bourgeois pointing out
> > that Bem used one-tailed tests:
> >
> > > That's interesting, disturbing, in fact. I've long argued
> that one-
> > > tailed tests are almost uniformly misused in psychology and
> > should be
> > > banned. Making a one-sided prediction is insufficient
> justification.
> > > One should only be allowed to use a one-tailed test if one can
> > > plausibly argue that not only do I not predict a result in
> > the "wrong"
> > > tail, but that if such a perverse result occurred, it would
> > either be
> > > meaningless or of no interest at all.
> >
> > I am happy to report that a paper hot off the press (or do
> they not do
> > that any more?), in what appears to be a brand-new journal, has an
> > excellent opinion piece which fully supports my view above.
> How they
> > got it into print so quickly after reading my post, I'll never know.
> >
> > The paper is this:
> >
> > Ruxton, G, and Neuhauser, M. (2010). When should we use one-tailed
> > hypothesis testing? Methods in Ecology and Evolution, 1, 114-117.
> >
> > After giving a great example of the tangled mess an unwary
> researcher
> > is faced with when a one-tailed test goes rogue, they say this:
> >
> > "On the basis of their statistical test, the scientist has
> no grounds
> > for treating an experiment where the birds having a spectacular
> > adverse reaction to the supplement any differently from the birds
> > having no reaction. This philosophical lack of ability to act in
> > response to unexpected results is the cost of one-tailed testing".
> >
> > Amen! Cut your costs! Help stamp out one-tailed tests!
> >
> > They also say "We rarely find ourselves in a position where we are
> > comfortable with using  a one-tailed test", and later,
> "Use of one-
> > tailed testing is more common than we would expect" [in ecology
> > journals], They report that none of these uses involved a
> satisfactory
> > explanation.
> >
> > The authors' summary, in modest and restrained language,
> offers this
> > good guide for the perplexed:
> > ----------------------------
> > Summary
> >
> > 1. Although one-tailed hypothesis tests are commonly used, clear
> > justification for why this approach is used is often missing
> > frompublished papers.
> >
> > 2. Here we suggest explicit questions authors should ask of
> themselves
> > when deciding whether or not to adopt one-tailed tests.
> >
> > 3. First, we suggest that authors should only use a
> one-tailed test if
> > they can explain why they are more interested in an effect in one
> > direction and not the other.
> >
> > 4. We suggest a further requirement that adoption of one-tailed
> > testing requires an explanation why the authors would treat a large
> > observed difference in the unexpected direction no
> differently from a
> > difference in the expected direction that was not strong enough to
> > justify rejection of the null hypothesis.
> >
> > 5. These justifications should be included in published
> works that use
> > one-tailed tests, allowing editors, reviewers and readers
> the ability
> > to evaluate the appropriateness of the adoption of
> one-tailed testing.
> >
> > 6. We feel that adherence to our suggestions will allow
> authors to use
> > one-tailed tests more appropriately, and readers to form their own
> > opinion about such appropriateness when one-tailed tests are used.
> > -------------------------
> >
> >
> > Stephen
> >
> > --------------------------------------------
> > Stephen L. Black, Ph.D.
> > Professor of Psychology, Emeritus
> > Bishop's University
> > Sherbrooke, Quebec, Canada
> > e-mail:  sblack at ubishops.ca
> > ---------------------------------------------
> >
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