Publication Date
| In 2015 | 0 |
| Since 2014 | 1 |
| Since 2011 (last 5 years) | 1 |
| Since 2006 (last 10 years) | 1 |
| Since 1996 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| At Risk Students | 1 |
| Classification | 1 |
| Comparative Analysis | 1 |
| Elementary School Students | 1 |
| Grade 1 | 1 |
| Grade 2 | 1 |
| Identification | 1 |
| Models | 1 |
| Nonparametric Statistics | 1 |
| More ▼ | |
Source
| Regional Educational… | 1 |
Publication Type
| Reports - Research | 1 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 1 | 1 |
| Grade 2 | 1 |
| Primary Education | 1 |
Audience
| Administrators | 1 |
| Parents | 1 |
| Policymakers | 1 |
| Teachers | 1 |
Showing one result
Peer reviewed
Download full textKoon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
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 nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
