At 12:52 PM 12/14/99 -0800, Dale Berger wrote:
>Just a reminder that transformations can be used on proportions as a dv to
reduce
>the skew, important if some values approach 0 or 1. These include arcsine,
>probit, and logit. Each needs special treatment when p=0 or p=1. Cohen
and Cohen
>(2nd e
When I asserted a few minutes ago that:
> In such non-normal situations, the indices are *not*
> defined in terms of means and standard deviations, but
> instead in terms of the straight-line ROC curve
... I should have warned that some computer programs may (incorrectly)
estimate the index
(PLEASE NOTE: This is a corrected version of a reply I posted earlier
but quickly canceled. My initial reply contained a typographical error
in its first expression for Sakitt's D.)
Victor A. Gombos wrote:
> I am using Systat 9.0 for my master's thesis data--the
> nature of my analyses depe
In article <[EMAIL PROTECTED]>,
Wouter Duyck <[EMAIL PROTECTED]> wrote:
> Hi to all...
>
> i have a question. I have n subjects. for each subject, i have a
> proportion. i wanna test if there are some differences in that
> proportion, depending on some independent variables (e.g. sexe) on
wich
>
Victor A. Gombos wrote:
> I am using Systat 9.0 for my master's thesis data--the
> nature of my analyses depend heavily on Signal Detection
> Theory. Therefore, of course I am using the Signal
> Detection Analysis program in Systat. Systat reports a
> number of things, including the ROC
"Patrick D. Rockwell" <[EMAIL PROTECTED]> wrote:
>I've posted this before,
Yes you have. In fact, you posted it the day before yesterday.
Twice.
I've posted this before, but right now I can't find the answers that
I've gotten, and I'd like to repost to see if I can get a simpler
solution than what I've gotten before.
Let's say that n people agree to meet between 2:00 P.M. and 3:00 P.M..
If each person
is willing to wait the same amount of
On 14 Dec 1999 09:08:58 -0800, [EMAIL PROTECTED] (tom reiland)
wrote:
< a bunch of stuff which my Newsreader suppresses, but it is just as
well, because none was worth reading, anyway. >
Hey, Tom,
SUCKER!!
SUCKER!!
You may be an well-intentioned, but you should leave it to somewhat
EXPER
Just a reminder that transformations can be used on proportions as a dv to reduce
the skew, important if some values approach 0 or 1. These include arcsine,
probit, and logit. Each needs special treatment when p=0 or p=1. Cohen and Cohen
(2nd ed. of Applied MR/C) has a section on transformation
Does anyone know the e-mail address to contact Pfizer Central Research in
Sandwich, Kent? I find their home page but can't locate an e-mail address.
Please respond directly to me rather than to the list.
Any help will be appreciated.
Dr. Robert C. Knodt
4949 Samish Way, #31
Bellingham, WA 98
In article <4F1F6C7CD038D111BC7F00805F19987A0591966C@LMIG-MSG-03>,
[EMAIL PROTECTED] (Chen, Peter) wrote:
> Is the sum still a better measure of the "trait" than any individual
item?
That is very often the case.
> It is not clear what inferences can be drawn from the sum of the four
items.
Tw
EAKIN MARK E wrote:
>
> It is my belief that if faculty do not give rules in methods classes, then
> students will infer the rules from the presentation. These
> student-developed rules may or may not be valid.
Excellent point. I don't mind offering rules provided they are sensible
(I don't t
--
"Statistics class is a lot like church, many attend but few understand."
(acknowledgment to Wes Westrum, former major league manager)
==>Thomas W Reiland email: [EMAIL PROTECTED]
==>Dept. of Statistics tel.
As I recall, there was an article by Lunney et al that appeared in the
Journal of Educational Measurement that examined the use of ANOVA with "1"
and "0" as the DV. I believe that they concluded that distortion was
minimal when the distributions were within an 80/20 split... I think that
the arti
- Original Message -
From: Donald F. Burrill <[EMAIL PROTECTED]>
To: Wouter Duyck <[EMAIL PROTECTED]>
Cc: <[EMAIL PROTECTED]>
Sent: Tuesday, December 14, 1999 9:03 AM
Subject: Re: ANOVA with proportions
> On Tue, 14 Dec 1999, Wouter Duyck wrote:
>
> > I have a question. I have n subjec
On Tue, 14 Dec 1999, Wouter Duyck wrote:
> I have a question. I have n subjects. For each subject, I have a
> proportion. I want to test if there are some differences in that
> proportion, depending on some independent variables (e.g. sex) on which
> the subjects differ.
>
> Can I use those p
Hi to all...
i have a question. I have n subjects. for each subject, i have a
proportion. i wanna test if there are some differences in that
proportion, depending on some independent variables (e.g. sexe) on wich
the subjects differ.
Can i use those proportions as a dependent variable in an ANOV
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