Use of Classification Agreement Analyses to Evaluate RTI Implementation
Bibliographic Data
| ID | 4256207 |
|---|---|
| Authors | Amanda Vanderheyden, Amanda M Vanderheyden (corresponding author) |
| Year | 2010 |
| Volume | 49 |
| Issue | 4 |
| Pages | 281-288 |
| Publication date | 2010-10-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Theory Into Practice (JOURNAL) |
| Journal identifiers | ISSN: 0040-5841 • E-ISSN: 1527-2532 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00405841.2010.510721 |
| OpenAlex | W2155127678 |
| Language | EN |
| References cited | 5 |
RTI as a framework for decision making has implications for the diagnosis of specific learning disabilities. Any diagnostic tool must meet certain standards to demonstrate that its use leads to predictable decisions with minimal risk. Classification agreement analyses are described as optimal for demonstrating the technical adequacy of RTI decisions. The benefits and limitations of commonly used classification agreement estimates are described in this article and suggestions are made for their use in ensuring technically adequate use of RTI
Agreement · Business · Linguistics · Machine learning · Management science · Risk analysis (engineering · Behavioral and Psychological Studies · Computer Science · Engineering · Psychology · Psychometric Methodologies and Testing · Reliability and Agreement in Measurement
| Citation velocity | historical |
|---|---|
| Highly cited | No |