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Technology to Guide Data-Driven Intervention Decisions: Effects on Language Growth of Young Children at Risk for Language Delay
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Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Exceptional Children, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Technology to Guide Data-Driven Intervention Decisions: Effects on Language Growth of Young Children at Risk for Language Delay
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Grantee Submission, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Very Early Language Skills of Fifth-Grade Poor Comprehenders
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Justice, Laura; Mashburn, Andrew; Petscher, Yaacov – Journal of Research in Reading, 2013
This study tested the theory that future poor comprehenders would show modest but pervasive deficits in both language comprehension and production during early childhood as compared with future poor decoders and typical readers. Using an existing database (NICHD ECCRN), fifth-grade students were identified as having poor comprehension skills…
Descriptors: Reading Comprehension, Decoding (Reading), Language Processing, Expressive Language
Considerations for Test Selection: How Do Validity and Reliability Impact Diagnostic Decisions?
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Friberg, Jennifer C. – Child Language Teaching and Therapy, 2010
Nine preschool and school-age language assessment tools found to have acceptable levels of identification accuracy were evaluated to determine their overall levels of psychometric validity for use in diagnosing the presence/absence of language impairment. Eleven specific criteria based on those initially devised by McCauley and Swisher (1984) were…
Descriptors: Test Selection, Language Impairments, Test Validity, Psychometrics