An effect size can be expressed in terms of the coefficients of the
underlying regression model for the experimental design being used. The
standard errors for an effect can therefore be obtained from the standard
errors of the coefficients.
You need to be careful about the relationship between t
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In article <[EMAIL PROTECTED]>,
Thomas Peter Burg <[EMAIL PROTECTED]> wrote:
>Does anyone know if there's an answer to the following problem:
>I'm given a function of time Y(t), with the property that all values of
>Y are
>random variables which are drawn from a time dependent distribution with
Our sincere apologies for cross posting! Thank-you.
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let's say that one designs a simple experiment about the effectiveness of a
weight change program ...
you set your sights on a power of .7 ... (beta therefore being .3) ...
select a two tailed alpha of .05 ... because the situation is such that
this program could actually make you gain weight
is there a standard error ... for an effect size?
as an example ... say you were looking at differences between means between
control and treatment ... and, the effect size came out to be ... for sake
of argument ... .3 ... in favor of the treatment
is there (in this case) some standard error
On 19 Apr 2000 16:30:07 GMT, [EMAIL PROTECTED] (Wen-Feng
Hsiao) wrote:
> The 5-point scale is obvious ordinal scale, while the bipolar scale can
> be interval scale. However, we usually use analyses such as ANOVA,
> Regression, etc. to analyze the collected 5-point data. Is there any
> reasoni
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"Alexandre Martins Lima" <[EMAIL PROTECTED]> Wrote:
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In article <8dj5g7$5er$[EMAIL PROTECTED]>, wende598@my-
deja.com says...
> Hi,
>
> I'm a grad student in social science. My use of satistics software has
> been limited to SPSS because its simple user interface allowed me to
> easily do some simple non-parametric tests. But now, I am interested i
Can't be done without knowledge of the joint distributions of
Y(t1), Y(t2),..., Y(t).
Jon Cryer
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To: [EMAIL PROTECTED]
Date: Wed, 19 Apr 2000 16
Dear all,
I am confused by the following question:
The 5-point scale is obvious ordinal scale, while the bipolar scale can
be interval scale. However, we usually use analyses such as ANOVA,
Regression, etc. to analyze the collected 5-point data. Is there any
reasoning behind it? Please indica
I am looking for a source of "portable staistics", i.e. techniques that
are easy to remember and use, that can be applied without a calculator
or software program or and do not need reference tables.
Examples are: Tukey-Duckworth two sample test, and the quadrant sum
test for association (Omstead
Does anyone know if there's an answer to the following problem:
I'm given a function of time Y(t), with the property that all values of
Y are
random variables which are drawn from a time dependent distribution with
known time dependent density f(t). I.e. the probability that Y(t)>x is
Integral(f
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 problem with short scales. With
>> respe
It's a good definition for the MD, but for outliers identification MD is not
robust because of masking and swamping phenomena: outliers could have low MD
and high MD means not in each cases outliers. See eg Barnet V, Lewis T.
(1994). Outliers in statistical data. John Wiley and Sons, New-York.,
Ro
Minitab is a very good Windows integrated soft with some robust statistics
(non parametrics and robust rebression) and has a powerfull programmation
language (a lot of these macros are avaliable from the net). And moreover...
it's not expensive, even for student :-)) (as I am). But I am not really
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