Measuring similarity judgments with machine-learning algorithms

  0
Contributors:
  3. Tanner Rasumussen

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This project uses machine-learning algorithms to predict similarity judgments to (1) investigate which algorithms best predict similarity judgments, (2) assess which predictors are most useful in predicting similarity judgments, and (3) determine the minimum number of questions required to accurately predict similarity judgments.

License: CC-By Attribution 4.0 International

Has supplemental materials for Improving measurements of similarity judgments with machine-learning algorithms on PsyArXiv

Wiki

Add important information, links, or images here to describe your project.

Files

Citation

Components

  • Data and R script

    Stevens, Rasumussen, Soh & 1 more
    Recent Activity

  • Figures and tables

    Stevens, Rasumussen, Soh & 1 more
    Recent Activity

Tags

Recent Activity

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.