Literature DB >> 16900832

Signal detection theory, the approach of choice: model-based and distribution-free measures and evaluation.

Diana Eugenie Kornbrot1.   

Abstract

New and old methods of analyzing two-choice experiments with confidence ratings are evaluated. These include the theory of signal detectability (TSD), Luce's choice theory,nonparametric techniques based on areas under receiver-operating characteristic (ROC) functions, andmethods based on S' and omega, proposed by Balakrishnan and his colleagues. New methods for assessing the bias of a complete ROC function are proposed, together with an additional area-based measure of response bias. Area measures of both sensitivity and bias proved the most consistent. Response bias for a full ROC function was larger than bias at the cut point and also provided additional information. Participants showed voluntary control of bias for all measures except omega. Unequal variance versions of TSD and choice models gave similar fits to data, with the choice model closer to an equal variance version. Discrimination data from Balakrishnan (1999) formed the empirical test bed.

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Mesh:

Year:  2006        PMID: 16900832     DOI: 10.3758/bf03193685

Source DB:  PubMed          Journal:  Percept Psychophys        ISSN: 0031-5117


  22 in total

1.  Decision criteria do not shift: commentary on Mueller and Weidemann (2008).

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2.  A signal detection-item response theory model for evaluating neuropsychological measures.

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4.  Correlated individual differences suggest a common mechanism underlying metacognition in visual perception and visual short-term memory.

Authors:  Jason Samaha; Bradley R Postle
Journal:  Proc Biol Sci       Date:  2017-11-29       Impact factor: 5.349

5.  Addiction vulnerability and the processing of significant cues: Sign-, but not goal-, tracker perceptual sensitivity relies on cue salience.

Authors:  Kyra B Phillips; Martin Sarter
Journal:  Behav Neurosci       Date:  2020-01-09       Impact factor: 1.912

6.  Prefrontal contributions to metacognition in perceptual decision making.

Authors:  Stephen M Fleming; Josefien Huijgen; Raymond J Dolan
Journal:  J Neurosci       Date:  2012-05-02       Impact factor: 6.167

7.  Spontaneous Neural Oscillations Bias Perception by Modulating Baseline Excitability.

Authors:  Luca Iemi; Maximilien Chaumon; Sébastien M Crouzet; Niko A Busch
Journal:  J Neurosci       Date:  2017-01-25       Impact factor: 6.167

8.  Young children bet on their numerical skills: metacognition in the numerical domain.

Authors:  Vy A Vo; Rosa Li; Nate Kornell; Alexandre Pouget; Jessica F Cantlon
Journal:  Psychol Sci       Date:  2014-06-27

9.  Training Visual Imagery: Improvements of Metacognition, but not Imagery Strength.

Authors:  Rosanne L Rademaker; Joel Pearson
Journal:  Front Psychol       Date:  2012-07-10

10.  Relating introspective accuracy to individual differences in brain structure.

Authors:  Stephen M Fleming; Rimona S Weil; Zoltan Nagy; Raymond J Dolan; Geraint Rees
Journal:  Science       Date:  2010-09-17       Impact factor: 47.728

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