my colleague hoi suen ... has some meta analysis formulas ... have a look at
http://espse.ed.psu.edu/SUEN/meta-analysis/META.htm
various iterations of effect sizes
At 04:52 PM 6/23/00 -0700, Dale Glaser wrote:
>OKI'm going out on a limb here and I'm sure there will be much
>castigation for
OKI'm going out on a limb here and I'm sure there will be much
castigation for my strategy but here goes
On page 67 in Cohen's (1988) power analysis text, equation 2.5.3 offers the
standardized mean difference:
(d subscript s) = t * sqrt ((n1 + n2)/(n1*n2)), so I decided to work
bac
Do you mean for power analyses? I have a sas program that computes power
for various sample sizes and effect sizes for varying numbers of
predictors. If that will help, I'll be happy to send it.
At 03:19 PM 6/23/00 CDT, you wrote:
>Does anybody know of a asmple size program for regressoin? I see
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I am working on a power analysis project- we are reviewing old journal
articles to calculate observed effect sizes and power. Some of the
I am attempting to build a performance attribution model and have
multicollinearity among my variables. As I would prefer not to remove
variables, I am trying to program a PLS regression in SAS. I know from
a previous posting that SAS has PROC PLS. MATLAB code to perform PLS.
First, I need to kno
PASS released by NCSS can calculate sample size for OLS regression and
logistic regression.
Chong-ho (Alex) Yu, Ph.D., CNE, MCSE
Instruction and Research Support
Information Technology
Arizona State University
Tempe A
Does anybody know of a asmple size program for regressoin? I seem to
remember a program called R2, but a search of the Web didn't turn up
anything.
Also, does anybody know of a sample size program for logistic regression?
TIA
Karen Scheltema, M.A., M.S.
Statistician
HealthEast
1700 Universit
It is more usual, in situations like this, to divide at the
median rather than the mean. (For one thing, you're more likely
to end up with groups of at least approximately equal size.) Did
you have a reason for using the mean? Where did you put persons
whose score was equal to the mean?
==
If X and Y are different variables, say number of apples eaten per week
for X and number of words spelled correctly for Y, then the result would
be meaningless.
If X and Y are the same variable( say number of apples eaten per week)
for samples from two groups (say males and females) then the t-te
An elementary problem that should be discussed in adequate detail in
your textbook. Consult it.
On Fri, 23 Jun 2000, Rahat Bokhari wrote:
> Data for two indenedent variables let for X and Y is available as
> below:
>For Variable X Mean = 5.61SD= 0.68
>For Varable Y Mea
On Thu, 22 Jun 2000, Alex Yu wrote (slightly edited):
> ANOVA is said to be robust against assumption violations when the
> sample size is large. However, when the sample size is huge, it tends
> to overpower the test and thus the null may be falsely rejected.
> Which is a lesser evil? Your
Sig, if you really want help, your request ought to be accompanied by
a legitimate e-mail address. There's really no point in trying to reply
to you when it's evident that any such reply will not get to you:
sig <[EMAIL PROTECTED]>
Invalid indeed! (Some sort of sick joke?)
On Thu, 2
Data for two indenedent variables let for X and Y is available as
below:
For Variable X Mean = 5.61SD= 0.68
For Varable Y Mean = 5.10 SD= 1.01
Sample N=40
Can I calculate 't' by using such "Difference in Means"
Thanks.
==
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