Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Achievement Tests | 2 |
| At Risk Students | 2 |
| Elementary School Students | 2 |
| Models | 2 |
| Reading Tests | 2 |
| Statistical Analysis | 2 |
| Accuracy | 1 |
| Alphabets | 1 |
| Classification | 1 |
| Comparative Analysis | 1 |
| Correlation | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 2 |
| Guides - Non-Classroom | 1 |
| Numerical/Quantitative Data | 1 |
Education Level
| Elementary Education | 2 |
| Early Childhood Education | 1 |
| Grade 1 | 1 |
| Grade 2 | 1 |
| Primary Education | 1 |
Audience
Location
| Florida | 2 |
Laws, Policies, & Programs
Assessments and Surveys
| Stanford Achievement Tests | 2 |
| Peabody Picture Vocabulary… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textKoon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
Foorman, Barbara R.; Petscher, Yaacov; Schatschneider, Chris – Florida Center for Reading Research, 2015
The Florida Center for Reading Research (FCRR) Reading Assessment (FRA) consists of computer-adaptive reading comprehension and oral language screening tasks that provide measures to track growth over time, as well as a Probability of Literacy Success (PLS) linked to grade-level performance (i.e., the 50th percentile) on the reading comprehension…
Descriptors: Elementary School Students, Middle School Students, High School Students, Written Language
