[R-sig-ME] Analysis of signal detection data
Ed Merkle
edgar.merkle at wichita.edu
Mon Nov 15 18:17:01 CET 2010
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. ~
More information about the R-sig-mixed-models
mailing list