Skip to main content

Breadcrumb

Home arrow_forward_ios Resource Librar ... arrow_forward_ios Branching Out: ...
Home arrow_forward_ios ... arrow_forward_ios Branching Out: ...
Resource Librar ...
Resource Training Material

Branching Out: Using Decision Trees to Inform Education Decisions

REL Appalachia
Author(s):
Neil Seftor,
Lisa Shannon,
Stephanie Wilkerson,
Mary Klute
Publication date:
December 2021

Summary

Classification and Regression Tree (CART) analysis is a statistical modeling approach that uses quantitative data to predict future outcomes by generating decision trees. This guide introduces CART analysis as an approach that allows data analysts to generate actionable analytic results that can inform educators' decisions about the allocation of extra supports for students.

Download, view, and print

Training Material
REL Appalachia

Branching Out: Using Decision Trees to Inform Education Decisions

By: Neil Seftor, Lisa Shannon, Stephanie Wilkerson, Mary Klute
Download and view this document Study Infographic

Share

Icon to link to Facebook social media siteIcon to link to X social media siteIcon to link to LinkedIn social media siteIcon to copy link value

Tags

Data and Assessments

You may also like

Zoomed in IES logo
Other

Expanding School Supports for Kinship Caregivers a...

January 16, 2026
Read More
Zoomed in IES logo
Other Resource

Improving Data Dashboards: A Feedback Process to E...

Author(s): U.S. Department of Education
Read More
Zoomed in IES logo
Workshop/Training

Innovation Science for Education Analytics (ISEA)

January 01, 2026
Read More
icon-dot-govicon-https icon-quote