Paul R Swank wrote:
>
> I disagree with the statement that the split-half reliability coefficient
> is of no use anymore. Coefficient alpha, while being an excellent estimator
> of reliability, does have one rather stringent requirement. The items must
> be homogeneous. This is not always the cas
Wen-Feng Hsiao wrote:
>
> Dear Hartig,
>
> Thanks for your reply. I am sorry for my poor knowledge in statistics.
> But I wonder why the definition of 'linearity' of statistics is different
> from that of engineering mathematics, which defines 'linear' as:
>
> Each unknown xj appears to the
Hi, Robert and all --
Yes, there occasionally were discussions in our Air Force research
whether or not we were working with the POPULATION or a SAMPLE.
As Dennis comments:
|
| > the flaw here is that ... she has population data i presume ... or about
| as
| > close as one can come to it ... wi
At 04:26 PM 4/17/00 -0500, Paul R Swank wrote:
>I disagree with the statement that the split-half reliability coefficient
>is of no use anymore. Coefficient alpha, while being an excellent estimator
>of reliability, does have one rather stringent requirement. The items must
>be homogeneous.
i don
We have 2 groups reporting on the major problem for
attending college. We are trying to see if the different
response numbers are statistically significant. For example
one group responded with an answer 13 times and the other
group 32 times. Since a chi square takes the mean of the
two, it doe
At 08:07 PM 4/17/00 +, Charles D Madewell wrote:
>As a working engineer and part time graduate student I do not even
>understand why anyone would want to do away with hypothesis testing.
>I have spent many, many hours of my graduate school life learning,
>reading, calculating, and analyzing u
I disagree with the statement that the split-half reliability coefficient
is of no use anymore. Coefficient alpha, while being an excellent estimator
of reliability, does have one rather stringent requirement. The items must
be homogeneous. This is not always the case with many kinds of scales, no
Teo ha scritto nel messaggio...
>Anyone knows in what consist the Mahanalobis distance??
>I have to measure the distance between two histograms...
>
from the StatSoft website (Glossary):
"Mahalanobis distance. One can think of the independent variables
(in a regression equation) as defining a
As a working engineer and part time graduate student I do not even
understand why anyone would want to do away with hypothesis testing.
I have spent many, many hours of my graduate school life learning,
reading, calculating, and analyzing using hypothesis tests.
Hypothesis testing is not bad. It
Response embedded within message:
In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] wrote:
>
> The way this world is ---
>A master's candidate, or a phD candidate, or a professor,
>or a working scientist, has put a lot into his project.
>In terms of time, in terms of money, and more
Since clustering methods begin with pairwise distances among observations,
why not measure these distances as minimum arc-lengths along the
best-fitting circle (or min chord lengths, or min angular deviations with
respect to the centroid, etc)? This is how geographic distances are
measured (in 2
- Original Message -
From: dennis roberts
> At 10:32 AM 4/17/00 -0300, Robert Dawson wrote:
>
> > There's a chapter in J. Utts' mostly wonderful but flawed low-math
intro
> >text "Seeing Through Statistics", in which she does much the same. She
> >presents a case study based on some o
On 15 Apr 2000, Donald F. Burrill wrote:
> > > (2) My second objection is that if the positive-discrete
> > > probability is retained for the value "0" (or whatever value the former
> > > "no" is held to represent), the distribution of the observed quantity
> > > cannot be one of the stand
At 10:32 AM 4/17/00 -0300, Robert Dawson wrote:
> There's a chapter in J. Utts' mostly wonderful but flawed low-math intro
>text "Seeing Through Statistics", in which she does much the same. She
>presents a case study based on some of her own work in which she looked at
>the question of gende
( how did we get to HERE, from Data Mining?)
On 15 Apr 2000 17:50:05 GMT, [EMAIL PROTECTED] (Radford Neal)
wrote:
> In article <[EMAIL PROTECTED]>,
> Rich Ulrich <[EMAIL PROTECTED]> wrote:
>
> >One thing that remains true about stock investment schemes: There may
> >be some overall growth, s
I would appreciate feedback on the following from list members.
I recently participated in a discussion at a conference that revolved around
effect sizes. The discussion had to do with the clinical value of a set of
predictors based on field studies. In these studies, the predictors (which
were
busker writes:
>I'm completely new to statistics but am putting together a
>customer satisfaction survey, thanks to which I am daily
>becoming fascinated by my whole new world of Means and
>Medians and Variabilities and Variances, and so forth.
I deleted the two questions about split half coeffi
Bill Knight wrote:
> The way this world is ---
...
> SUMMARY:
> * Don't be like a certain social sciences graduate
> * student at our university who, after failing to reject her
> * null hypothesis, nevertheless went on to draw conclusions
> * from her data. (Worse than that, her department
>
Milo Schield wrote:
>
> I agree with Dennis that students need to be exposed to the use of Bayesian
> priors within the process of teaching classical hypothesis testing.
Using Bayesian priors can be very difficult for some students. (Why do
we take the
uniform prior ??? )
For to teach decissi
The Mahalanobis distance (MD) is distance between each observation and the
mean of the others.
For the obs. i MD(i)*MD(i)=(X(i)-mean(X))*inverse(S)*transpose(X(i)-mean(X))
where mean(X) is the mean of variables X, X(i) is values of variables X for
i, S is the variance-covariance matrix of X.
A rel
20 matches
Mail list logo
