Main content

Forked from osf.io/zdskx on

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This project is part of the Hagen Cumulative Science Project and replicates Pennycook, G., Cheyne, J. A., Barr, N., Koehler, D. J., & Fugelsang, J. A. (2015). On the reception and detection of pseudo-profound bullshit. Judgment and Decision Making, 10(6), 549-563.

Wiki

Original citation. Pennycook, G., Cheyne, J. A., Barr, N., Koehler, D. J., & Fugelsang, J. A. (2015). On the reception and detection of pseudo-profound bullshit. Judgment and Decision Making, 10(6), 549-563.

Target of replication. The target of our replication is to improve the Bullshit Sensitivity Scale, which aims to measure the ability to detect bullshit.

The project contains:

  1. Study Materials

Files

Files can now be accessed and managed under the Files tab.

Citation

Components

Literature | Forked: 2016-06-21 12:40 UTC


Recent Activity

Loading logs...

Pre-Data Report | Forked: 2016-06-21 12:40 UTC


Recent Activity

Loading logs...

Study Materials | Forked: 2016-06-21 12:40 UTC


Recent Activity

Loading logs...

Data | Forked: 2016-06-21 12:40 UTC


Recent Activity

Loading logs...

Analyses | Forked: 2016-06-21 12:40 UTC


Recent Activity

Loading logs...

Post-Data Report | Forked: 2016-06-21 12:40 UTC


Recent Activity

Loading logs...

Tags

bullshitbullshit detectiondual-process theoriesHagen Cumulative Science Project IJDMReplicationresponse bias

Recent Activity

Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

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.