?
[EMAIL PROTECTED] (Magill, Brett) wrote in message
news:[EMAIL PROTECTED]...
Also check out R, a GNU implementation of the S language, most prominently
known through its use in S-Plus. R is a fully featured statisitical
programming environment. In its MVA (Multivariate) package, it includes
Also check out R, a GNU implementation of the S language, most prominently
known through its use in S-Plus. R is a fully featured statisitical
programming environment. In its MVA (Multivariate) package, it includes
routines for factor analysis using maximum liklihood estimation with varimax
and
Rosenberg, Morris. 1968. The Logic of Survey Analysis. New York: Basic Books
An older book, but nice treatment of the elaboration model using tables.
Might be hard to find now however. I think it is in the process of being
updated by another author.
-Original Message-
From: John
Don and Dennis,
Thanks for your comments, I have some points and futher questions on the
ussue below.
For both Dennis and Don: I think the option of aggregating the information
is a viable one. Yet, I cannot help but think there is some way to do this
taking into account the fact that there
A colleague has a data set with a structure like the one below:
ID X1 X2 Y
1 1 0.700.40
2 1 0.800.40
3 1 0.650.40
4 2 1.200.25
5 2 1.100.25
6 3 0.900.30
7 4 0.500.50
8
Does anyone know of a resource that lists symbols often used in statistics
and probability. What I am looking for is something with the symbol, its
name, and some common uses. In particular, I would like web sources, but I
would be grateful for any suggestions.
Best,
Brett
These both sound to me as if multi-level models would be appropriate to
handle the type of data to which you are referring.
Look at this site for some basic info on multi-level models (MLM):
http://www.ioe.ac.uk/multilevel/
Interested in learning more... then dowload this classic text on
G*Power is a powere analysis package that is freely available. You can
download it at:
http://www.psychologie.uni-trier.de:8000/projects/gpower.html
You can calculate a sample size for a given effect size, alpha level, and
power value.
-Original Message-
From: Scheltema, Karen
It has created controversy, as witnessed by the replies it has
generated, therefore it is controversial.
I am not sure why the results that were presented need to be terribly
controversial. Democratic supporters tend to be minority, older, poorer,
and less educated than their republican
I believe the issue is that the questionable balloting method was used in
predominantly democratic districts and therefore disproportionately affected
democratic voters, i.e. Gore supporters. Furthermore some have argued that
they did in fact ask for a new ballot, which was denied.
I don't know enough about time series really to provide much advice.
However, I have seen methods by which a slope was calculated across time for
each subject with the first measurement as the incercept (within subjects).
Subsequently, the individual slope was regressed on other factors. Thus,
Is there a difference between a Nested Model in general and what is referred
to as a hierarchical linear model?
Thanks,
Brett Magill
=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE
of the variation and the result is that the slope
describes the relationship or B = r.
Brett
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]
Sent: Friday, May 19, 2000 11:43 AM
To: [EMAIL PROTECTED]
Subject: Re: Correlation
Magill, Brett [EMAIL PROTECTED] wrote:
Mike
Mike,
In the bivariate case, regression and correlation are identical. Assuming
you want to select one of your proxy measures to use in place of the
expensive 'true" measure, run the regression models--"true" measure
regressed on each of the "different techniques". The r's that you will get
can
Clip from earlier message...
"The Player may choose to play exactly the same rules
as the Dealer is REQUIRED to play; or the Player may choose some of the
other
options. Since the Player has more choices or options in play than does the
Dealer, why does the Dealer have the statistical advantage?
Seems to me that the notion of power in a pilot study is moot. Typically, a
pilot study is a test of the research methodology and instruments. As such,
your sample size is a pragmatic decision and should consist of enough
observations to test your design and research instruments. For instance,
Mike,
With randomization pre, it is not necessary to take a pre-intervention
measurement. Test the difference in confidence following the training. If
it is significant, there is a difference. Decide what direction it is in
and attribute the difference to the training. You can make this
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