A comprehensive assessment of current methods for measuring metacognition

Dobromir Rahnev ()
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Dobromir Rahnev: Georgia Institute of Technology

Nature Communications, 2025, vol. 16, issue 1, 1-19

Abstract: 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.

Date: 2025
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DOI: 10.1038/s41467-025-56117-0

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