Subject: [AUDITORY] SDT with continuous ratings From: Samuel Mathias <samuel.mathias@xxxxxxxx> Date: Thu, 22 Feb 2018 12:40:59 +0000 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>--_000_MWHPR14MB1855848C61AF36919244CAF6F9CD0MWHPR14MB1855namp_ Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Dear list, does anyone know of any work that has formally applied signal de= tection 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 =93def= initely old=94, =93maybe old=94, =93maybe new=94 =93definitely new=94, wher= eas the continuous version might require subjects to use a slider going fro= m 0 to 1. By formally, I mean that the model was actually fitted to the con= tinuous ratings and not to the data after artificially discretizing them, f= or 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 --_000_MWHPR14MB1855848C61AF36919244CAF6F9CD0MWHPR14MB1855namp_ Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable <!-- This file has been automatically generated. See web/README.md --> <html> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3DWindows-1= 252"> </head> <body> <div id=3D"compose-container" style=3D"direction: ltr" itemscope=3D"" itemt= ype=3D"https://schema.org/EmailMessage"> <span itemprop=3D"creator" itemscope=3D"" itemtype=3D"https://schema.org/Or= ganization"><span itemprop=3D"name" content=3D"Outlook Mobile for iOS"></sp= an></span> <div> <div style=3D"direction: ltr;">Dear list, does anyone know of any work that= has formally applied signal detection theory or a related framework to con= tinuous confidence ratings? By continuous, I mean a rating scale that is no= t 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 =93defini= tely old=94, =93maybe old=94, =93maybe new=94 =93definitely new=94, whereas= the continuous version might require subjects to use a slider going from 0 to 1. By formally, I mean that the model was act= ually fitted to the continuous ratings and not to the data after artificial= ly discretizing them, for example into quartiles.</div> <div><br> </div> <div class=3D"acompli_signature"> <div>--</div> <div>Samuel R. Mathias, Ph.D.</div> <div>Associate Research Scientist (ARS)</div> <div>Neurocognition, Neurocomputation and Neurogenetics (n3) Division</div> <div>Yale University School of Medicine</div> <div>40 Temple Street, Room 694</div> <div>New Haven CT 06510</div> <div>http://www.srmathias.com</div> </div> </div> </div> </body> </html> --_000_MWHPR14MB1855848C61AF36919244CAF6F9CD0MWHPR14MB1855namp_--