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Ochs, Sarah; Keller-Margulis, Milena A.; Santi, Kristi L.; Jones, John H. – Assessment for Effective Intervention, 2020
Universal screening is the first mechanism by which students are identified as at risk of failure in the context of multitiered systems of supports. This study examined the validity and diagnostic accuracy of a reading computer-adaptive test as a screener to identify state achievement test performance for third through fifth graders (N = 1,696).…
Descriptors: Adaptive Testing, Computer Assisted Testing, Accuracy, Reading Tests
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Keller-Margulis, Milena; McQuillin, Samuel D.; Castañeda, Juan Javier; Ochs, Sarah; Jones, John H. – Journal of Applied School Psychology, 2018
Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening.…
Descriptors: At Risk Students, Multivariate Analysis, Adaptive Testing, Computer Assisted Testing
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Shamir, Haya – Journal of Educational Multimedia and Hypermedia, 2018
Assessing students' emerging literacy skills is crucial for identifying areas where a child may be falling behind and can lead directly to an increased chance of reading success. The Waterford Assessment of Core Skills (WACS), a computerized adaptive test of early literacy for students in prekindergarten through 2nd grade, addresses this need.…
Descriptors: Computer Assisted Testing, Adaptive Testing, Reading Tests, Preschool Children
Fomenko, Julie Ann Schwein – ProQuest LLC, 2017
Twenty-first-century healthcare is a complex and demanding arena. Today's hospital environment is more complex than in previous years while patients move through the system at a much faster pace. Newly graduated nurses are challenged in their first year with the healthcare needs of complex patients. Nurse educators and nurse leaders differ in…
Descriptors: Simulation, Nurses, Nursing Education, Competence