CLASSIFICATION ACCURACY OF ORAL READING FLUENCY AND MAZE IN PREDICTING PERFORMANCE ON LARGE-SCALE READING ASSESSMENTS

Autor:	Michael D. Hixson, Gloria Johnson, Amber Shaw, Dawn M. Decker
Rok vydání:	2014
Předmět:	media_common.quotation_subject education Predictor variables School district Education Developmental psychology Fluency Reading assessment Reading (process) Scale reading Developmental and Educational Psychology Predicting performance Psychology media_common Clinical psychology
Zdroj:	Psychology in the Schools. 51:625-635
ISSN:	0033-3085
DOI:	10.1002/pits.21773
Popis:	The purpose of this study was to examine whether using a multiple-measure framework yielded better classification accuracy than oral reading fluency (ORF) or maze alone in predicting pass/fail rates for middle-school students on a large-scale reading assessment. Participants were 178 students in Grades 7 and 8 from a Midwestern school district. The multiple-measure framework yielded classification accuracy rates that were either similar to, or better than, the individual predictors. Specificity was improved using a combined measure of ORF and maze versus individual predictors alone. Educational implications for identifying students in need of reading intervention are discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b4b42b4e0c48036b16d8e2f1b84ec9fd https://doi.org/10.1002/pits.21773 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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