CLASSIFICATION ACCURACY OF ORAL READING FLUENCY AND MAZE IN PREDICTING PERFORMANCE ON LARGE‐SCALE READING ASSESSMENTS. Issue 6 (6th May 2014)

• Record Type: Journal Article
• Authors: Decker, Dawn M.; Hixson, Michael D.; Shaw, Amber; Johnson, Gloria
• Is Part Of: Psychology in the schools. Volume 51:Issue 6(2014)
• Page Start: 625
• Page End: 635
• Publication Date: 2014-05-06
• Subjects: Educational psychology -- Periodicals; Psychopédagogie -- Périodiques; 370.15
• DOI: 10.1002/pits.21773
• Languages: English
• ISSNs: 0033-3085

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>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.</p> </abstract>