A Comparison of Correlation and Regression Approaches for Multinomial Processing Tree Models

Lisa J. Jobst; Daniel W. Heck; morten moshagen

doi:None

Title	Authors

A Comparison of Correlation and Regression Approaches for Multinomial Processing Tree Models

Contributors:

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Here, we provide supplementary materials for the article: Jobst, L. J., Heck, D. W., & Moshagen, M. (2020). A comparison of correlation and regression approaches for multinomial processing tree models. Journal of Mathematical Psychology, 98, 102400.

Projects
Registrations

Results: All Projects Results: My Projects Results: All Registrations Results: My Registrations

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.

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.

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.

Create an Account Learn More Hide this message

Main content

A Comparison of Correlation and Regression Approaches for Multinomial Processing Tree Models

Files

Citation

Tags

Recent Activity

Start managing your projects on the OSF today.

Main content

Links to this project

A Comparison of Correlation and Regression Approaches for Multinomial Processing Tree Models

Link other OSF projects

Files

Citation

Tags

Recent Activity

Start managing your projects on the OSF today.