This is a multi-part message in MIME format.
--------------D067C2990B362FB062366649
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit
I am working on a power analysis project- we are reviewing old journal
articles to calculate observed effect sizes and power. Some of these
articles, for example reporting t-test results, only give means and
t-test, no standard deviation. thus, no effect size calculation is
possible. I was hoping to estimate an effect size by converting a t to
an r. I seem to remember a formula that relates the two, but am having
a dickens of a time tracking one down. The one I did track down, for
calculating t from r, is not that helpful:
t= r * sqrt(n-2)
-------------
sqrt(1-r^2)
I want to be able to calculate r from t. I tried algebraically
manipulating the formula, but never quite got it to where I could do
this. Any advice?
Alternatively, a formula for converting t or F to eta-squared, which is
roughly analogous to r-squared, would also be helpful (I know they are
not exactly analogous).
Thanks in advance,
Jason
--------------D067C2990B362FB062366649
Content-Type: text/x-vcard; charset=us-ascii;
name="josborne.vcf"
Content-Transfer-Encoding: 7bit
Content-Description: Card for Jason Osborne, Ph.D.
Content-Disposition: attachment;
filename="josborne.vcf"
begin:vcard
n:Osborne, Ph.D;Jason W.
tel;fax:405-325-6655
tel;work:405-325-1067
x-mozilla-html:FALSE
url:http://faculty-staff.ou.edu/O/Jason.W.Osborne-1/home.html
org:Department of Educational Psychology;University of Oklahoma
adr:;;820 Van Vleet Oval;Norman;OK;73019;USA
version:2.1
email;internet:[EMAIL PROTECTED]
title:Assistant Professor
fn:Jason W. Osborne, Ph.D
end:vcard
--------------D067C2990B362FB062366649--
===========================================================================
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about these messages because the postmaster has no
way of controlling them, and excessive complaints will result in
termination of the list.
For information about this list, including information about the
problem of inappropriate messages and information about how to
unsubscribe, please see the web page at
http://jse.stat.ncsu.edu/
===========================================================================