CLASSIFICATION ACCURACY OF ORAL READING FLUENCY AND MAZE IN PREDICTING PERFORMANCE ON LARGE‐SCALE READING ASSESSMENTS |
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Authors: | Dawn M. Decker Michael D. Hixson Amber Shaw Gloria Johnson |
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Affiliation: | 1. Central Michigan University;2. Huron Intermediate School District |
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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. |
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