Subject: Re: [AUDITORY] SDT with continuous ratings From: Tak-Shing Chan <takshingchan@xxxxxxxx> Date: Fri, 23 Feb 2018 16:38:10 +0800 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>How about fuzzy signal detection theory? Parasuraman, R., Masalonis, A. J., & Hancock, P. A. (2000). Fuzzy signal detection theory: Basic postulates and formulas for analyzing human and machine performance. Human Factors, 42, 636-659. Tak-Shing On Thu, Feb 22, 2018 at 8:40 PM, Samuel Mathias <samuel.mathias@xxxxxxxx> wrote: > Dear list, does anyone know of any work that has formally applied signal > detection theory or a related framework to continuous confidence ratings?= By > continuous, I mean a rating scale that is not discretized. For example, s= ay > we have a recognition memory task in which subjects are presented with ol= d > or new stimuli. The discretized version might have response options > =E2=80=9Cdefinitely old=E2=80=9D, =E2=80=9Cmaybe old=E2=80=9D, =E2=80=9Cm= aybe new=E2=80=9D =E2=80=9Cdefinitely new=E2=80=9D, whereas the > continuous version might require subjects to use a slider going from 0 to= 1. > By formally, I mean that the model was actually fitted to the continuous > ratings and not to the data after artificially discretizing them, for > example into quartiles. > > -- > Samuel R. Mathias, Ph.D. > Associate Research Scientist (ARS) > Neurocognition, Neurocomputation and Neurogenetics (n3) Division > Yale University School of Medicine > 40 Temple Street, Room 694 > New Haven CT 06510 > http://www.srmathias.com