Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This page accompanies the paper "What predicts Stroop performance? A conditional random forest approach" by IJzerman and colleagues (2016).

Files

Loading files...

Citation

Components

Data

Here we have uploaded the data that we used for our analyses, which includes the variable order of the Stroop predictors. More information on the Many...

Recent Activity

Loading logs...

Analyses "History"


Recent Activity

Loading logs...

Script

This component has the link to the analysis script.

Recent Activity

Loading logs...

What Predicts Stroop Performance? A Conditional Random Forest Approach

An experimental science relies on solid and replicable results. The last few years have seen a rich discussion on the reliability and validity of psyc...

Recent Activity

Loading logs...

Recent Activity

Loading logs...

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.