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Kayla V. Campaña; Benjamin G. Solomon – Assessment for Effective Intervention, 2025
The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…
Descriptors: Accuracy, Classification, Diagnostic Tests, Adaptive Testing
Backes, Ben; Cowan, James – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Prior work has documented a substantial penalty associated with taking the Partnership for Assessment of Readiness for College and Careers (PARCC) online relative to on paper (Backes & Cowan, 2019). However, this penalty does not necessarily make online tests less useful. For example, it could be the case that computer literacy skills are…
Descriptors: Predictive Validity, Test Validity, Computer Assisted Testing, Comparative Analysis
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
Kent, Shawn C.; Wanzek, Jeanne; Yun, Joonmo – Assessment for Effective Intervention, 2019
This study examined the predictive validity and classification accuracy of individual- and group-administered screening measures relative to student performance on a year-end state reading assessment in two states. A sample of 321 students was assessed in the areas of word-level and text fluency, as well as reading comprehension in the fall of…
Descriptors: Screening Tests, Grade 4, Elementary School Students, At Risk Students
Kent, Shawn C.; Wanzek, Jeanne; Yun, Joonmo – Grantee Submission, 2019
This study examined the predictive validity and classification accuracy of individual and group-administered screening measures relative to student performance on a year-end state reading assessment in two states. A sample of 321 students were assessed in the areas of word-level and text fluency, as well as reading comprehension in the fall of…
Descriptors: Screening Tests, Grade 4, Elementary School Students, At Risk Students
Salaschek, Martin; Souvignier, Elmar – Frontline Learning Research, 2013
The purpose of our research was to examine a web-based tool for mathematics progress monitoring in first grade. The newly developed assessment tool uses several robust indicators and curriculum-based measures forming three competences (Basic Precursors, Advanced Precursors, and Computation) to determine comprehensive early numeracy skills in…
Descriptors: Progress Monitoring, Grade 1, Elementary School Mathematics, Computer Assisted Testing
Kettler, Ryan J. – Journal of Psychoeducational Assessment, 2011
The final regulations of the "No Child Left Behind" Act (U.S. Department of Education, 2007a, 2007b) indicate that a small group of students with disabilities can be counted as proficient through an alternate assessment based on modified academic achievement standards. This new policy gives individualized education program teams the…
Descriptors: Alternative Assessment, Computer Assisted Testing, Disabilities, Testing Accommodations
Frick, Theodore W. – 1986
The sequential probability ratio test (SPRT), developed by Abraham Wald, is one statistical model available for making mastery decisions during computer-based criterion referenced tests. The predictive validity of the SPRT was empirically investigated with two different and relatively large item pools with heterogeneous item parameters. Graduate…
Descriptors: Achievement Tests, Adaptive Testing, Classification, Comparative Analysis

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