Re: [AUDITORY] SDT with continuous ratings

[Tak-Shing Chan <takshingchan@xxxxxxxxx>]

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@xxxxxxxxx> 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, say
> we have a recognition memory task in which subjects are presented with old
> or new stimuli. The discretized version might have response options
> “definitely old”, “maybe old”, “maybe new” “definitely new”, 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