Universal screening in reading is a common, and often required, practice in early elementary school. Computer-adaptive screening tools, such as (ISIP-ER), are often chosen for this purpose in schools. In our present study, we examine the validity evidence between the ISIP-ER in kindergarten and third grade (STAAR) reading scores, the classification accuracy of ISIP-ER to predict which students will meet STAAR reading expectations, and a cut score to maximize classification accuracy for the local context. The sample included 962 students ( = 6.19 years; = 0.37) from 15 elementary schools in one suburban school district in Texas. As for validity, the correlation between ISIP-ER in kindergarten and the third grade STAAR was moderate ( = 0.48). Classification accuracy analyses using the vendor-recommended cut score found sensitivity (0.63) and specificity (0.70) were all below recommended levels. Using a locally determined cut score, sensitivity (0.92) was improved, but specificity (0.33) was substantially decreased. The findings suggest ISIP-ER has some limitations in the accurate identification of students at risk for poor outcomes on a state-mandated reading test and will likely need to be combined with other assessments or progress monitoring data. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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January 2025
Department of ECE, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, India.
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January 2025
Institute for System Dynamics, University of Stuttgart, Waldburgstr. 19, 70563, Stuttgart, Germany.
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January 2025
Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain.
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