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Use of Classification Agreement Analyses to Evaluate RTI Implementation

Bibliographic Data

ID4256207
AuthorsAmanda Vanderheyden, Amanda M Vanderheyden (corresponding author)
Year2010
Volume49
Issue4
Pages281-288
Publication date2010-10-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueTheory Into Practice (JOURNAL)
Journal identifiersISSN: 0040-5841 • E-ISSN: 1527-2532
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00405841.2010.510721
OpenAlexW2155127678
LanguageEN
References cited5

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 velocityhistorical
Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae