Abstract
Modeling causal conditional reasoning data using SDT: caveats and new insights
Highlights
In deductive reasoning, people are asked to infer the truth of an argument’s conclusion given a set of premises
Formal modeling of deductive reasoning has often been successful by taking the traditional, normative approach
A case in point is the application of signal detection theory (SDT; Macmillan and Creelman, 2005) to the investigation of belief bias in syllogistic reasoning (Dube et al, 2010)
Summary
People are asked to infer the truth of an argument’s conclusion given a set of premises. A case in point is the application of signal detection theory (SDT; Macmillan and Creelman, 2005) to the investigation of belief bias in syllogistic reasoning (Dube et al, 2010).
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
