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Re: st: Standardized interaction terms - which p-values hold?


From   Elisabeth Bublitz <elisabeth.bublitz@uni-jena.de>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Standardized interaction terms - which p-values hold?
Date   Wed, 16 Jan 2013 08:07:16 +0100

Thanks everyone! I know where to go from here.

-Elisabeth

Am 15.01.2013 20:20, schrieb Maarten Buis:
On Tue, Jan 15, 2013 at 5:59 PM, Elisabeth Bublitz wrote:
This leaves one more question open: How should you handle changing p-values?
The so far prefered option (A) returns something different than a regression
with unstandardized variables (B).

 From what I know, a standardization of variables should only change
coefficients not p-values.
That is not true when your model includes interactions. Say your model
has two variables: age (A) and breath (B) and an interactionterm A*B.
The effect of age is the effect of age when breath = 0 and similarly
the effect of breath is the effect of breath when age = 0. So if you
change the meaning of the value 0 of your variables by standardizing
the variables age and breath, than that involves a substantive change
in the null-hypothesis and should thus result in a change in p-values.

So the solution is, as always, to think carefully about which null
hypothesis you want to test before reporting p-values.

To get identical p-values as in the baseline
regression (with unstandardized variables) it is necessary to leave
variables unstandardized before creating the interaction. If I then
standardize the interaction term, it gives identical p-values (C).
As I explained above, that is true, but typically that is not what you want.

-- Maarten

---------------------------------
Maarten L. Buis
WZB
Reichpietschufer 50
10785 Berlin
Germany

http://www.maartenbuis.nl
---------------------------------
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