This study has been now published in **Journal of Experimental Psychology: General** - [Open access here][1] <br><br> **Abstract** Is metacognition a general resource shared across domains? Previous research has documented consistent biases in confidence judgments across tasks. However, the ability to discriminate between correct and incorrect answers (metacognitive sensitivity) is often held to be domain-specific, based on non-significant correlations across domains. Such null findings may be due to low statistical power and differences in task structure or performance, thereby masking a latent domain-generality in metacognition. We examined across-domain correlations in bias and sensitivity in a large sample (N=181). Participants performed four two-alternative-forced-choice tasks (episodic memory, semantic memory, executive function, and visual perception) with trial-by-trial confidence judgments. We found significant correlations between metacognitive biases across tasks. By applying a hierarchical Bayesian model to estimate cross-task covariance, we found significant correlations in metacognitive efficiency (meta-d’/d’) across tasks, even for pairs of tasks in which first-order performance was not correlated. This suggests a domain-general resource supporting metacognitive sensitivity in retrospective confidence. [1]: https://psycnet.apa.org/fulltext/2020-19836-001.html