The ROC Toolbox: A toolbox for analyzing receiver-operating characteristics derived from confidence ratings.

ABSTRACT: Signal-detection theory, and the analysis of receiver-operating characteristics (ROCs), has played a critical role in the development of theories of episodic memory and perception. The purpose of the current paper is to present the ROC Toolbox. This toolbox is a set of functions written in the Matlab programming language that can be used to fit various common signal detection models to ROC data obtained from confidence rating experiments. The goals for developing the ROC Toolbox were to create a tool (1) that is easy to use and easy for researchers to implement with their own data, (2) that can flexibly define models based on varying study parameters, such as the number of response options (e.g., confidence ratings) and experimental conditions, and (3) that provides optimal routines (e.g.,

SUBMITTER: Koen JD 

PROVIDER: S-EPMC5332475 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature