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Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
Published on: October 11, 2018
Use of a Measure of Reading Comprehension to Enhance Prediction on the State High Stakes Assessment
Edward S Shapiro1, Emily Solari1, Yaacov Petscher1
1Lehigh University, Center for Promoting Research to Practice; University of Texas Health Science Center Houston, Children's Learning Institute; Florida State University, Florida Center for Reading Research.
Abstract:
The current study examined the diagnostic accuracy of two screening measures of risk for future difficulties in reading comprehension, as well as the degree to which adding a screening measure of reading comprehension enhanced the prediction of Oral Reading Fluency to outcomes of student reading performance on the state high stakes assessment for grades 3 through 5. Data from fall and winter assessments of the DIBELS Oral Reading Fluency (DORF) and 4Sight Benchmark Assessment (4Sight) measures along with outcomes on the Pennsylvania System of School Assessment (PSSA) across a total of 1000 students from 6 schools were examined using indices of diagnostic efficiency, ROC curve, and logistic regression analyses. Results showed that the addition of a measure of reading comprehension (4Sight) to DORF enhanced the decision making process for identifying students at risk for reading difficulties, especially for those students at higher elementary grades and those who achieved benchmark levels on the DORF. Although DORF alone showed a good level of prediction to the statewide assessment, the combination of the DORF plus 4Sight measures resulted consistently in the best predictive outcomes. Suggestions are made to consider alternative cut points for the DORF and 4Sight measures.
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