Classification accuracy of oral reading fluency and maze in predicting performance on large-scale reading assessments

Dawn M. Decker, Michael D. Hixson, Amber Shaw, Gloria Johnson

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)625-635
Number of pages11
JournalPsychology in the Schools
Volume51
Issue number6
DOIs
StatePublished - Jul 2014

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