Hi all.
I have a question regarding analysis of data using repeated measures.
I can easily analyse the data using a standard, factorial approach
(entering each observation as a row in SPSS). However, I can not
figure out how to do a repeated measures analysis.
The study I am trying to analyse ha
[EMAIL PROTECTED] (Christopher J. Mecklin) wrote in message
news:<[EMAIL PROTECTED]>...
> Judith, Rich, Art, edstat-l list;
>
> My thanks to your replies and my apologies for not articulating my question
> better in my initial post. To be somewhat less vague about my question
> (I'll probably
Re: panel data - fixed effects
I've been playing with some regressions
The sample is 500 listed firms in Malaysia.
I'm using MV/BV as a performance measure and various variables such as
ownership structure, log of sales etc etc.
Someone has suggested I use panel data - fixed effects method
Is t
Francis Dermot Sweeney wrote:
=
> If I have two normal distributions N(m1, s1) and N(m2, =
> s2), what is a good measure of the distance between them? =
> I was thinking of something like a K-S distance like =
> max|phi1-phi2|. I know it probably depende on what I
> want it for, or what
seems, as you have said, depends what you want to do with it
if there is considerable overlap, then whatever distance you use will have
some of both distributions included ... if there is essentially no overlap
... then any pair of values ... one from each ...will reflect a real difference
of
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Judith, Rich, Art, edstat-l list;
My thanks to your replies and my apologies for not articulating my question
better in my initial post. To be somewhat less vague about my question
(I'll probably be still a little vague because of my lack of knowledge),
the colleague of mine who asked about "
Hi,
I tried to run a workfile on EViews 3.1 that I had created in EViews
4.0. It is a three equation system estimated via full information
maximum likelihood. It worked fine in 4.0. Now, I'm using 3.1 and it
opens the 4.0 workfile no problem but when I hit the estimate button
(via FIML) it return
If I have two normal distributions N(m1, s1) and N(m2, s2), what is a
good measure of the distance between them? I was thinking of something
like a K-S distance like max|phi1-phi2|. I know it probably depende on
what I want it for, or what exactly I mean by distance, but any ideas
would be help
I can't help it. the last paragraph in this post absolutely _demands_ a
response.
Wuzzy wrote:
> > You made a model with the "exact same exposure in different units",
> > which is something that no one would do,
>
> Hehe, translation is don't post messages until you've thought them
> through.
>
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I do know that in epidemiology and medical science the purpose is to find
out how "sensitive" the test is . This ia what I think of when talking
sensitivity analysis. Further info can be obtained from P Armitage & G
Berry, "Statistical Methods in Medical Research", Blackwell Scientific
Publicati
On 31 Jan 2002 10:06:36 -0800, [EMAIL PROTECTED]
(Christopher J. Mecklin) wrote:
> I had a colleague (a biologist) ask me about sensitivity analysis. I am
> not familiar with the technique (above and beyond knowing that the
> technique exists). What books/articles/websites/etc. would be good s
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I'm russian student/
Alex Seregin/
=
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Dear Wuzzy
The answer is yes they can.
Consider the case where x1 is highly correlated to x2 and Y is
correlated with X1-X2.
I on a simulation of this for 100 cases got a R-squared for the
regression model of .998 but the individual correlations
x1 vs y = -.072 p=.476
x2 vs y=-.105 p=.301
x
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