Confidence measurement in the light of signal detection theory

Sébastien Massoni (1) , Thibault Gajdos (2) , Jean-Christophe Vergnaud (3)

1 Queens land Behavioural Economics Group–School of Economics and Finance
2 GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille
3 CES - Centre d'économie de la Sorbonne

We compare three alternative methods for eliciting retrospective confidence in the context of a simple perceptual task: the Simple Confidence Rating (a direct report on a numerical scale), the Quadratic Scoring Rule (a post-wagering procedure), and the Matching Probability (MP; a generalization of the no-loss gambling method). We systematically compare the results obtained with these three rules to the theoretical confidence levels that can be inferred from performance in the perceptual task using Signal Detection Theory (SDT). We find that the MP provides better results in that respect. We conclude that MP is particularly well suited for studies of confidence that use SDT as a theoretical framework.

Keywords: confidence; scoring rules; psychophysics; signal detection theory; incentives; methodology

Domains: Physics [physics]; Physics [physics]; Cognitive science; Psychology

Sébastien Massoni, Thibault Gajdos, Jean-Christophe Vergnaud. Confidence measurement in the light of signal detection theory. Frontiers in Psychology, 2014, 5 ( 1455), ⟨10.3389/fpsyg.2014.01455⟩. ⟨hal-01239378⟩