dence
intervals because of a few situations (probably contrived) where they don't
work, then we need to rewrite a lot of statistics texts. Maybe the
qualitative people have the right idea. Don't use numbers at all.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health
No more than hypothesis tests necessarily tell you when the null hypothesis
is false. Nothing is certain in statistics but uncertainty.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL
I use to find that students respoded well to the idea that the hypothesis
test told you, within the limits of likelihood set, where the parameter
wasn't while confidence intervals told you where the parameter was.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Sc
oday might be turned off to research and fail to solve a meaty problem
tomorrow.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of jim clark
Sent: Thursday, September 27,
if A&B occurs, hasn't A occurred?
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Nathaniel
Sent: Monday, September 17, 2001 12:38 PM
To: [EMAIL PROTECTED
is ratio scale?
OTOH, there is a two standard deviation difference, which is large enough to
practically hit you over the head. The significance test is more important
when the effect is smaller because small effects are much more likely to be
chance events.
Paul R. Swank, Ph.D.
Professor
What software are you using?
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Riddler
Sent: Tuesday, September 11, 2001 6:31 AM
To: [EMAIL PROTECTED]
Subject
In general, as these things always seem to go, many folks call any item from
a summated rating scale a Likert item. But, like the use of relationship
instead of relation, it seems to be a difficult practice to stamp out.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health
as bimodal (or
multimodal). In the bimodal case, some refer to the higher "hump" as the
major mode and the other as the minor mode.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTEC
Yes, there are 42 lambdas since 3 are fixed to one, 45 theta deltas, and 6
phis, three variances, three unique covariances.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On
logit
model to see if the data are approximately ordinal.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Silvert, Henry
Sent: Wednesday, August 15, 2001 10:36
Iowa City, IA:
American College Testing Program.
Shavelson, R. $ Webb, N. (1991). Generalizability Theory: A primer. Newbury
Park, CA: Sage.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTEC
begin no later than
September 1.
Send vita and three letters of reference to:
Dr. Susan Landry
Department of Pediatrics
University of Texas Houston Health Science Center
7000 Fannin, Suite 2401
Houston, Texas 77030
Or e-mail to:
[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
Paul R. Swank
==
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>=
>
>>
>>
>>
>
>
>
>=
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>===
when samples are small, the tests have no power to detect violations. There is no substitute for examining your data. If the data are badly skewed, you don't need a normality test to tell you that, a simple histogram will do it.
>>
>>
>>
>> ----
ty
>educational psychology, 8148632401
>http://roberts.ed.psu.edu/users/droberts/drober~1.htm
>
>
>=
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are availabl
PRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>=========
>
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston School of Nursi
e better of it. To me, it is not
>>very appropriate to be highly impressed at the mean-differences,
>>when TESTS that are attempted can't show anything. The samples
>>are small-ish, but the means must be wrecked a bit by outliers.
>>
>>>
>>> Maybe the following example will help make
>>> it clearer:
>> < snip rest, including
gt;
>
>
>=
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>===
ator.
Your formula above needs to indicate that it is the estimate of the standard error in the denominator.
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston School of Nursing
Center for Nursing Research
Phone (713)500-2031
Fax (713) 500-2033
ng this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>=
>
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston School
divide at the midpoint of the pretest to form two equal size groups.
At 01:37 PM 1/17/01 -0500, you wrote:
>At 12:28 PM 1/17/01 -0600, Paul R Swank wrote:
>>But if you group the subjects on the basis of their pretest scores, the
>>lowest group gains 23.1 points while the highest g
2024
> 29 1439
> 30 1143
>
>if you are thinking about regression to the mean in the typical way ... how
>come this "regression reversal" seems to have occured?
>
>
>
>
>=
>Instructions for joining and leaving this list and remarks abou
http://jse.stat.ncsu.edu/
>=
>
--------
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston School of Nursing
Center for Nursing Research
Phone (713)500-2031
Fax (713) 500-2033
Ý'
And get use to it. This is the way it is done in Texas and I expect there to be a big push out of Washington in the near future for everyoone to move in this direction.
--------
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston School of
ld be partially responsible for the results.
At 03:21 PM 1/11/01 -0400, you wrote:
>
>
>Paul R Swank wrote:
>>
>> Regression toward the mean occurs when the pretest is used to form the groups, which it appears is the case here.
>
> Of course it "occurs": - but remem
nd not regression to the mean - is the problem
>here, I
>think.
>
> -Robert Dawson
>
>
>=========
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>===
===
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>=
>
==
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>=========
>
-
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
> http://jse.stat.ncsu.edu/
>=
>
Paul R. Swank, PhD.
Pro
ination of the list.
>
>For information about this list, including information about the
>problem of inappropriate messages and information about how to
>unsubscribe, please see the web page at
>http://jse.stat.ncsu.edu/
>======
, including information about the
>problem of inappropriate messages and information about how to
>unsubscribe, please see the web page at
>http://jse.stat.ncsu.edu/
>===
>
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston
ut how to
>unsubscribe, please see the web page at
>http://jse.stat.ncsu.edu/
>=======
>
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston School of Nursing
Center for Nursing Research
Phone (713)500-2031
Fax (713) 500-2033
==
attitude scale construction, 1957,
>appleton-century-crofts, inc
>
>and also actually read likert's work ... to see what he said and did not
>say ... rensis likert, a technique for the measurement of attitudes,
>archives of psychology, #140, june 1932 ...
>
>bu
tion about how to
>unsubscribe, please see the web page at
>http://jse.stat.ncsu.edu/
>=======
>
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodolo
, including information about the
>problem of inappropriate messages and information about how to
>unsubscribe, please see the web page at
>http://jse.stat.ncsu.edu/
>===
>
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston School of
o
>unsubscribe, please see the web page at
>http://jse.stat.ncsu.edu/
>=======
>
Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston
At 12:55 PM 4/19/00 +1000, you wrote:
>Paul R Swank wrote:
>>
>> High alpha can be obtained when not all items are highly intercorrelated
>> with all the other items but it requires having enough items. Lack of item
>> homogeneity will certainly be greater probl
ndom split compared to alpha gives you more information than
either one alone.
At 03:53 PM 4/18/00 -0400, you wrote:
>Trying to have it both ways,
>on 18 Apr 2000 08:13:08 -0700, [EMAIL PROTECTED] (Paul R
>Swank) wrote:
>
>> Depends on whether you consider a lack of item homoge
ve to the bad split, and alpha is sensitive to lack of item
homogeneity. It's like any statistical model. If the model isn't
appropriate, the result is misleading.
At 07:47 PM 4/17/00 -0400, you wrote:
>At 04:26 PM 4/17/00 -0500, Paul R Swank wrote:
>>I disagree with the state
half
procedure, which is much less sensitive to item homogeneity, would fit the
bill nicely.
Paul R. Swank, PhD.
Advanced Quantitative Methodologist
UT-Houston School of Nursing
Center for Nursing Research
Phone (713)500-2031
Fax (713) 500-2033
MASTER about these messages because the postmaster has no
>way of controlling them, and excessive complaints will result in
>termination of the list.
>
>For information about this list, including information about the
>problem of inappropriate messages and information about how to
>
43 matches
Mail list logo
