TalkLab

Here is a re-posting of a walkthrough (Oct. 2007) of how to control for anticipatory baseline effects experimentally.  Looking at it today, there are two things I would do differently.  First, I would use random slopes for subjects and items.  Second, I would use permutation tests rather than the quasi-logit approximation.  Re-running the code today with an updated lme4 package gives me drastically different results than what I got in 2007, which worries me.

I hope to post soon about a new R package I have developed (gmpm) which enables estimation of p-values for an MLR model using permutation tests.  If you want to try out the new approach, install the package gmpm from R-forge like this:

install.packages("gmpm", repos="http://R-Forge.R-project.org")

Then have a look at the kb07 walkthrough (just type ?kb07 at the command line).

The TalkLab is the psycholinguistics laboratory of Dale Barr at the University of Glasgow.

Our research investigates spoken language processing and conversational interaction.

Still moving in... sorry for the barebones nature of this website at the moment, haven't had the chance yet to migrate all of my web data over from UCR.

News: Visual world researchers, be sure to have a look at my new paper (with Timothy Gann and Russell Pierce) in Acta Psychologica on anticipatory baseline effects (click the link for a preprint):

Barr, D. J., Gann, T. M., & Pierce, R. S. (in press).  Anticipatory baseline effects and information integration in visual world studies.  Acta Psychologica. doi:10.1016/j.actpsy.2010.09.011