Accuracy of the DIBELS Oral Reading Fluency Measure for Predicting Third Grade Reading Comprehension Outcomes

• Published in: Journal of school psychology Vol. 46; no. 3; pp. 343 - 366
• Main Authors: Roehrig, Alysia D., Petscher, Yaacov, Nettles, Stephen M., Hudson, Roxanne F., Torgesen, Joseph K.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.06.2008; Elsevier
• Subjects: Academic achievement; At risk populations; Beginning Reading; Child; Cognition; Correlation; Educational Measurement; Educational Status; Federal Programs; Female; Florida; Florida Comprehensive Assessment Test; Grade 3; Humans; Male; No Child Left Behind Act 2001; Oral reading; Predictive Value of Tests; Predictor Variables; Prospective Studies; Reading; Reading Achievement; Reading Comprehension; Reading Fluency; Reading Programs; Reading Skills; Reading Tests; Risks; Stanford Achievement Tests; Students; Test Validity; Validity; Florida; Validity; At risk populations; Oral reading; Reading comprehension
• ISSN: 0022-4405; 1873-3506
• DOI: 10.1016/j.jsp.2007.06.006

We evaluated the validity of DIBELS ( Dynamic Indicators of Basic Early Literacy Skills) ORF ( Oral Reading Fluency) for predicting performance on the Florida Comprehensive Assessment Test (FCAT-SSS) and Stanford Achievement Test (SAT-10) reading comprehension measures. The usefulness of previously established ORF risk-level cutoffs [Good, R.H., Simmons, D.C., and Kame’enui, E.J. (2001). The importance and decision-making utility of a continuum of fluency-based indicators of foundational reading skills for third-grade high-stakes outcomes. Scientific Studies of Reading, 5, 257–288.] for third grade students were evaluated on calibration ( n S1 = 16,539) and cross-validation ( n S2 = 16,908) samples representative of Florida's Reading First population. The strongest correlations were the third (February/March) administration of ORF with both FCAT-SSS and SAT-10 ( r S = .70–.71), when the three tests were administered concurrently. Recalibrated ORF risk-level cut scores derived from ROC (receiver-operating characteristic) curve analyses produced more accurate identification of true positives than previously established benchmarks. The recalibrated risk-level cut scores predict performance on the FCAT-SSS equally well for students from different socio-economic, language, and race/ethnicity categories.