…don’t forget that centering can make the y-intercept much more interpretable. That’s where I’ve used it the most.
Jeff
From: SPSSX(r) Discussion <[hidden email]> On Behalf Of Rich Ulrich
Sent: Tuesday, 25 September 2018 9:30 AM
To: [hidden email]
Subject: Re: Christine Blasey (Ford) - regression after centering
I'm happy to center only for computing the interactions, to avoid getting
statistics on the page (from confounding) that I have to go out of my way to explain.
According to her Wikipedia article, which is all of a week old,
"she specializes in designing statistical models for research projects".
--
Rich Ulrich
From: SPSSX(r) Discussion <[hidden email]> on behalf of Bruce Weaver <[hidden email]>
Sent: Monday, September 24, 2018 4:26 PM
To: [hidden email]
Subject: Re: Christine Blasey (Ford) - regression after centering
Hi Rich. When I search my articles folder for <Kraemer>, I find several
articles, but not that one. I was aware of it, because I'd noticed it when
looking at Christine Blasey's Google Scholar profile:
https://scholar.google.ca/citations?user=J2T7HxgAAAAJ&hl=en
Re centering variables prior to regression analysis, I'm generally less
enthusiastic about it than I used to be. Occasionally, it may be necessary
to deal with numerical problems that arise. But generally, if one has
software that makes it easy to compute and plot marginal values of Y, those
tables and plots are far more useful than the table of coefficients is in
helping a reader understand the nature of the model.
Rich Ulrich wrote
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
Free forum by Nabble | Edit this page |