Re: Green's likelihood procedure in Matlab ("Marvit, Peter" )


Subject: Re: Green's likelihood procedure in Matlab
From:    "Marvit, Peter"  <PMarvit(at)SOM.UMARYLAND.EDU>
Date:    Mon, 5 Apr 2004 11:05:02 -0400

I have some routines for MML (Method of Maximum Likelihood, Green 1990, 1993) in both Pascal and (at least for simulations) MATLAB. At the risk of tooting my own horn, I can also offer code for the ZEST adaptive procedure (that currently we're successfully using for humans and animals). In a recent paper, (Marvit, et al., 2003, JASA 113(6):3348-3361), we offered empirical and simulated comparisons of the classic Levitt (2-down, 1-up), two variations of MML (Green, 1993), and ZEST (King-Smith, et al, 1994). Our target was a level-discrimination difference limen, using a cued yes-no and a 2AFC paradigm. A quick summary, based on our data and analysis: session-to-session subject performance variance can be much greater than within-procedure variance, so that it may be much more advantageous to take many (short) estimates) rather than few (long, but putatively precise) estimates; the efficiency (measured by sweat factor) of the ZEST and our variation of the up-down was far greater than the MML; contrary to some published reports (and simulations), 2AFC seemed to produce lower estimate variance than a cued yes-no paradigm. In our opinion, the ZEST procedure with 2AFC paradigm is an excellent candidate for short, relatively accurate estimates obtainable in as few as 12-15 trials. An interleaved Up-Down provides different advantages (e.g., fewer assumptions about underlying psychometric function) at the expense of clock time (~85 trials for three interleaved tracks). I am pleased to provide the MATLAB code I have for ZEST (and MML), with the usual caveats of "as-is", no warranties, guarantees, etc. Until I can get a web site working, email me for details. Cheers, Peter : Peter Marvit, PhD <pmarvit(at)som.umaryland.edu> : : Dept. Anatomy and Neurobiology University of Maryland Medical School: : 685 W. Baltimore Street, HSF 222 Baltimore, MD 21201 : : phone 410-706-1272 fax 410-706-2512 :


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