[R-sig-ME] Analysis of signal detection data

[Mike Lawrence]

Thanks all for your responses and input! :O)

Cheers,

Mike

--
Mike Lawrence
Graduate Student
Department of Psychology
Dalhousie University

Looking to arrange a meeting? Check my public calendar:
http://tr.im/mikes_public_calendar

~ Certainty is folly... I think. ~



On Mon, Nov 15, 2010 at 1:17 PM, Ed Merkle <edgar.merkle at wichita.edu> wrote:
> Mike,
>
> I would add the following paper, which discusses Bayesian SDT models.
> Rouder's website may have software to estimate the models.
>
>
> @ARTICLE{RouLu05,
>  author = {J. N. Rouder and J. Lu},
>  title = {An introduction to {B}ayesian hierarchical models with an
> application in the theory of signal detection},
>  journal = {Psychonomic Bulletin and Review},
>  year = {2005},
>  volume = {12},
>  pages = {573-604}
> }
>
>
> Ed
>
> --
> Ed Merkle, PhD
> Assistant Professor
> Department of Psychology
> Wichita State University
> Wichita, KS, USA 67260
> http://psychology.wichita.edu/merkle
>
>
>
> -----Original Message-----
> From: r-sig-mixed-models-bounces at r-project.org on behalf of Mike Lawrence
> Sent: Sun 11/14/2010 9:58 PM
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] Analysis of signal detection data
>
>
> I know mixed effects modelling can handle binomially distributed
> error, but is there any way to handle this sort of signal detection
> data? My first thought is that glmmer with 4 categories corresponding
> to the hit, miss, false alarm, and correction categorization of
> responses, but I don't immediately see how this would properly connect
> the hit-vs-miss data to reflect a hit rate and the
> false-alarm-vs-correct-rejection data to reflect a FA rate.
>
> Thoughts?
>
> Mike
>
> --
> Mike Lawrence
> Graduate Student
> Department of Psychology
> Dalhousie University
>
> Looking to arrange a meeting? Check my public calendar:
> http://tr.im/mikes_public_calendar
>
> ~ Certainty is folly... I think. ~
>
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>