A comprehensive assessment of current methods for measuring metacognition

Abstract One of the most important aspects of research on metacognition is the measurement of metacognitive ability. However, the properties of existing measures of metacognition have been mostly assumed rather than empirically established. Here I perform a comprehensive empirical assessment of 17 m...

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Main Author: Dobromir Rahnev
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-56117-0
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author Dobromir Rahnev
author_facet Dobromir Rahnev
author_sort Dobromir Rahnev
collection DOAJ
description Abstract One of the most important aspects of research on metacognition is the measurement of metacognitive ability. However, the properties of existing measures of metacognition have been mostly assumed rather than empirically established. Here I perform a comprehensive empirical assessment of 17 measures of metacognition. First, I develop a method of determining the validity and precision of a measure of metacognition and find that all 17 measures are valid and most show similar levels of precision. Second, I examine how measures of metacognition depend on task performance, response bias, and metacognitive bias, finding only weak dependences on response and metacognitive bias but many strong dependencies on task performance. Third, I find that all measures have very high split-half reliabilities, but most have poor test-retest reliabilities. This comprehensive assessment paints a complex picture: no measure of metacognition is perfect and different measures may be preferable in different experimental contexts.
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spelling doaj-art-192a33dc4b9e4117967c9ef9333b59952025-01-19T12:30:40ZengNature PortfolioNature Communications2041-17232025-01-0116111910.1038/s41467-025-56117-0A comprehensive assessment of current methods for measuring metacognitionDobromir Rahnev0School of Psychology, Georgia Institute of TechnologyAbstract One of the most important aspects of research on metacognition is the measurement of metacognitive ability. However, the properties of existing measures of metacognition have been mostly assumed rather than empirically established. Here I perform a comprehensive empirical assessment of 17 measures of metacognition. First, I develop a method of determining the validity and precision of a measure of metacognition and find that all 17 measures are valid and most show similar levels of precision. Second, I examine how measures of metacognition depend on task performance, response bias, and metacognitive bias, finding only weak dependences on response and metacognitive bias but many strong dependencies on task performance. Third, I find that all measures have very high split-half reliabilities, but most have poor test-retest reliabilities. This comprehensive assessment paints a complex picture: no measure of metacognition is perfect and different measures may be preferable in different experimental contexts.https://doi.org/10.1038/s41467-025-56117-0
spellingShingle Dobromir Rahnev
A comprehensive assessment of current methods for measuring metacognition
Nature Communications
title A comprehensive assessment of current methods for measuring metacognition
title_full A comprehensive assessment of current methods for measuring metacognition
title_fullStr A comprehensive assessment of current methods for measuring metacognition
title_full_unstemmed A comprehensive assessment of current methods for measuring metacognition
title_short A comprehensive assessment of current methods for measuring metacognition
title_sort comprehensive assessment of current methods for measuring metacognition
url https://doi.org/10.1038/s41467-025-56117-0
work_keys_str_mv AT dobromirrahnev acomprehensiveassessmentofcurrentmethodsformeasuringmetacognition
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