
On Oct 29, 2010, at 10:23 AM, Mike Lawrence wrote:

> 
> fit = lmer(
>    formula = response ~ (1|id) + group*cue*soa
>    , family = binomial( link='probit' )
>    , data = a
> )
> 
> employs the probit link, but of course yields estimates for the slope
> and intercept of a linear model on the probit scale, and I'm not sure
> how (if it's even possible) to convert the conclusions drawn on this
> scale to conclusions about the bias and variability parameters of
> interest.

I would think that the means of the group*cue effects are your bias parameters and the interactions with SOA are the effects on variance.

- Pete



---
Peter Dixon
Department of Psychology
University of Alberta
Edmonton, Alberta, Canada
T6G 2E9
780-492-2318
780-492-1768 (fax)
peter.dixon@ualberta.ca



	[[alternative HTML version deleted]]


