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      Measuring metacognitive performance: type 1 performance dependence and test-retest reliability

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          Abstract

          Research on metacognition—thinking about thinking—has grown rapidly and fostered our understanding of human cognition in healthy individuals and clinical populations. Of central importance is the concept of metacognitive performance, which characterizes the capacity of an individual to estimate and report the accuracy of primary (type 1) cognitive processes or actions ensuing from these processes. Arguably one of the biggest challenges for measures of metacognitive performance is their dependency on objective type 1 performance, although more recent methods aim to address this issue. The present work scrutinizes the most popular metacognitive performance measures in terms of two critical characteristics: independence of type 1 performance and test-retest reliability. Analyses of data from the Confidence Database (total N = 6912) indicate that no current metacognitive performance measure is independent of type 1 performance. The shape of this dependency is largely reproduced by extending current models of metacognition with a source of metacognitive noise. Moreover, the reliability of metacognitive performance measures is highly sensitive to the combination of type 1 performance and trial number. Importantly, trial numbers frequently employed in metacognition research are too low to achieve an acceptable level of test-retest reliability. Among common task characteristics, simultaneous choice and confidence reports most strongly improved reliability. Finally, general recommendations about design choices and analytical remedies for studies investigating metacognitive performance are provided.

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          An Analysis of Variance Test for Normality (Complete Samples)

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            How to measure metacognition

            The ability to recognize one's own successful cognitive processing, in e.g., perceptual or memory tasks, is often referred to as metacognition. How should we quantitatively measure such ability? Here we focus on a class of measures that assess the correspondence between trial-by-trial accuracy and one's own confidence. In general, for healthy subjects endowed with metacognitive sensitivity, when one is confident, one is more likely to be correct. Thus, the degree of association between accuracy and confidence can be taken as a quantitative measure of metacognition. However, many studies use a statistical correlation coefficient (e.g., Pearson's r) or its variant to assess this degree of association, and such measures are susceptible to undesirable influences from factors such as response biases. Here we review other measures based on signal detection theory and receiver operating characteristics (ROC) analysis that are “bias free,” and relate these quantities to the calibration and discrimination measures developed in the probability estimation literature. We go on to distinguish between the related concepts of metacognitive bias (a difference in subjective confidence despite basic task performance remaining constant), metacognitive sensitivity (how good one is at distinguishing between one's own correct and incorrect judgments) and metacognitive efficiency (a subject's level of metacognitive sensitivity given a certain level of task performance). Finally, we discuss how these three concepts pose interesting questions for the study of metacognition and conscious awareness.
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              A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings.

              How should we measure metacognitive ("type 2") sensitivity, i.e. the efficacy with which observers' confidence ratings discriminate between their own correct and incorrect stimulus classifications? We argue that currently available methods are inadequate because they are influenced by factors such as response bias and type 1 sensitivity (i.e. ability to distinguish stimuli). Extending the signal detection theory (SDT) approach of Galvin, Podd, Drga, and Whitmore (2003), we propose a method of measuring type 2 sensitivity that is free from these confounds. We call our measure meta-d', which reflects how much information, in signal-to-noise units, is available for metacognition. Applying this novel method in a 2-interval forced choice visual task, we found that subjects' metacognitive sensitivity was close to, but significantly below, optimality. We discuss the theoretical implications of these findings, as well as related computational issues of the method. We also provide free Matlab code for implementing the analysis. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Neurosci Conscious
                Neurosci Conscious
                nconsc
                Neuroscience of Consciousness
                Oxford University Press (UK )
                2057-2107
                2021
                25 November 2021
                25 November 2021
                : 2021
                : 1
                : niab040
                Affiliations
                departmentDepartment of Psychiatry and Neurosciences, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin , Charitéplatz 1, Berlin 10117, Germany
                Author notes
                *Correspondence address. Department of Psychiatry and Neurosciences, Charité—Universitätsmedizin Berlin, Charitéplatz 1, Berlin10117, Germany. Tel: +0049 30 450 517131; Fax: +0049 30 450 517944; E-mail: mg.corresponding@ 123456gmail.com
                [ † ]

                Matthias Guggenmos, http://orcid.org/0000-0002-0139-4123

                Author information
                https://orcid.org/0000-0002-0139-4123
                Article
                niab040
                10.1093/nc/niab040
                8633424
                34858637
                7aba0248-dc7b-42cc-b7d1-6f26c9fda7a0
                © The Author(s) 2021. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 June 2021
                : 25 October 2021
                : 02 November 2021
                : 29 October 2021
                : 22 November 2021
                Page count
                Pages: 14
                Funding
                Funded by: Deutsche Forschungsgemeinschaft, DOI 10.13039/501100001659;
                Award ID: GU 1845/1-1
                Categories
                Research Article
                AcademicSubjects/SCI01870
                AcademicSubjects/SCI01880
                AcademicSubjects/SCI01950
                AcademicSubjects/SCI02120
                AcademicSubjects/SCI02139

                metacognitionl,confidencel,decision makingl,metacognitive sensitivitl,test-retest reliability

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