Main content
Are Logical Intuitions Only Make-Believe? Reexamining the Logic-Liking Effect
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: This project addresses a recent debate in the literature on human reasoning as to whether there is an intuitive access to logicality or not. The finding that conclusions of logically valid inferences are liked more compared to conclusions of logically invalid ones – called the logic-liking effect – is one of the most prominent pieces of evidence in support of such logical intuitions. We study this issue in five experiments, where we reexamine the logic-liking effect. We investigate confoundings in terms of possibility and surface-feature atmosphere as well as demand effects that could account for the supposed emergence of a logic-liking effect in previous research.
This site contains data, experimental materials, and data analyses details relevant to the paper:
"Are Logical Intuitions Only Make-Believe? Reexamining the Logic-Liking Effect"
This paper investigates alternative accounts for the emergence of a supposed logic-liking effect.
The site is organised around the five experiments reported in the paper. Data, materials, and statistical analyses for each …
Files
Files can now be accessed and managed under the Files tab.
Citation
Components
Experiment 1
In Experiment 1, we reexamine the logic-liking effect by investigating confoundings in terms of possibility and surface-feature atmosphere for conditi...
Experiment 2 & 3
In Experiment 2 and 3, we reexamine the logic-liking effect by investigating confoundings in terms of possibility and surface-feature atmosphere for c...
Experiment 4 & 5
In Experiment 4 and 5, we reexamine the logic-liking effect by investigating confoundings in terms of possibility and surface-feature atmosphere for c...
Recent Activity
Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.