On the assumptions behind metacognitive measurements: Implications for theory and practice.

ABSTRACT: Theories of visual confidence have largely been grounded in the gaussian signal detection framework. This framework is so dominant that idiosyncratic consequences from this distributional assumption have remained unappreciated. This article reports systematic comparisons of the gaussian signal detection framework to its logistic counterpart in the measurement of metacognitive accuracy. Because of the difference in their distribution kurtosis, these frameworks are found to provide different perspectives regarding the efficiency of confidence rating relative to objective decision (the logistic model intrinsically gives greater meta-d'/d' ratio than the gaussian model). These frameworks can also provide opposing conclusions regarding the metacognitive inefficiency along the internal evidence

SUBMITTER: Miyoshi K 

PROVIDER: S-EPMC9520519 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature