Members,
I could use help on two questions that I haven't been able to adequately
answer for one of my students:
1) When performing a multiple linear regression we have examined t-tests for
the null hypothesis that a coefficient is zero. If we examined the tests
for each variable in the model, should you correct for multiple comparisons
(e.g., use a Bonferroni-corrected alpha)?
2) When performing a multiple linear regression we have performed partial
f-tests with the sequential SS (Type I SS) to examine if a particular
variable "should be added" to a simpler model. If a series of these tests
are used to find a parsimonious model that still fits should we correct for
multiple comparisons?
I am not aware of correcting for multiple comparisons in these instances,
but I'm not sure why (if that is even true).
Thank you in advance for your help (you can send e-mails directly to me if
this is not worthy of a broader discussion).
Dr. Derek H. Ogle
Northland College
127 Bobb Hall
[EMAIL PROTECTED]
www.northland.edu/dogle/
===========================================================================
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/
===========================================================================
