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A comprehensive assessment of current methods for measuring metacognition

Psychology

A comprehensive assessment of current methods for measuring metacognition

D. Rahnev

A comprehensive empirical assessment of 17 metacognition measures shows all are valid, most similarly precise, with weak links to response and metacognitive bias but strong dependence on task performance; split-half reliability is high while test-retest reliability is generally poor, suggesting no perfect metric and that different measures suit different contexts. Research conducted by Dobromir Rahnev.... show more
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.
Publisher
Nature Communications
Published On
Jan 15, 2025
Authors
Dobromir Rahnev
Tags
metacognition measurement
validity
precision
task performance dependence
response bias
split-half reliability
test-retest reliability
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