Using Evidence-Based Decision Trees Instead of Formulas to Identify At-Risk Readers. REL 2014-036 /

Using Evidence-Based Decision Trees Instead of Formulas to Identify At-Risk Readers. REL 2014-036 / Sharon Koon, Yaacov Petscher and Barbara R. Foorman.

This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on n...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via ERIC)
Main Authors: Koon, Sharon, Petscher, Yaacov (Author), Foorman, Barbara R. (Author)
Corporate Authors: Regional Educational Laboratory Southeast, National Center for Education Evaluation and Regional Assistance (U.S.)
Format: eBook
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 2014.
Subjects:
At Risk Students.
Reading Difficulties.
Identification.
Reading Comprehension.
Classification.
Regression (Statistics)
Models.
Nonparametric Statistics.
Comparative Analysis.
Elementary School Students.
Grade 1.
Grade 2.
Public Schools.
Accuracy.
Prediction.

Internet

Full Text (via ERIC)

Online

Holdings details from Online
Call Number: ED545225
ED545225 Available

Similar Items