get with the hypothesis
test and more.
Consider the following two possible outcomes:
A. p = .051, and a 95% CI for d runs from -0.135 to 8.5415.
B. p = .051, and a 95% CI for d runs from -.0002 to .0782.
---
You are currently subscribed to tips as: archive@jab.org
To unsubscribe send
]
To: Teaching in the Psychological Sciences tips@acsun.frostburg.edu
Sent: Saturday, June 25, 2005 11:23 AM
Subject: Re: p = .051
Could you comment on how this comparison would look to you if instead of
just the p-value from the hypothesis test, you also included a measure
of effect size
: p = .051
Could you comment on how this comparison would look to you if instead of
just the p-value from the hypothesis test, you also included a measure
of effect size?
This is a very interesting discussion. Thanks,
Paul Smith
Karl L. Wuensch wrote:
My point is that the CI gives you
: Re: p = .051
Okay, that does clarify things quite a bit for me. If I'm reading your
argument correctly, you're saying that the difference between the two
examples in the upper ends of the CIs (8.5415 versus .0782) does a
better job of illustrating the differences between the examples than
does
Karl L. Wuensch wrote:
Yes, Paul, fair reading -- of course, in general, one should not ignore
the lower end of the CI, but in this case, they don't much differ between
examples.
Yes, as I assume was part of your intention in picking those particular
examples.
In case A the CI
would find ways to screw up the interpretation of CIs every bit as much as
they now do with hypothesis tests. Sigh.
My point is that the CI gives you everything you get with the hypothesis
test and more.
Consider the following two possible outcomes:
A. p = .051, and a 95% CI for d runs
on 6/24/05 2:03 PM, Karl L. Wuensch at [EMAIL PROTECTED] was all:
Consider the following two possible outcomes:
A. p = .051, and a 95% CI for d runs from -0.135 to 8.5415.
B. p = .051, and a 95% CI for d runs from -.0002 to .0782.
These two possible outcomes paint very different
