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Thomas, Asia S.; January, Stacy-Ann A. – Assessment for Effective Intervention, 2021
Educators use universal screening to identify students who may be at risk for not meeting proficiency on the state assessment. Given the potential high-stakes of state tests, using accurate screeners is critical. Independent research is emerging on screeners such as the Measures of Academic Progress (MAP), a computer adaptive test, and the…
Descriptors: Reading Tests, Screening Tests, Test Validity, Accuracy
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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
Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
This technical report is an addendum to a study we initially reported on in 2014 (Wray, Lai, Saez, Alonzo, & Tindal, 2014). In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from the Wray et al study. This supplementary report presents the results of the…
Descriptors: Curriculum Based Assessment, Response to Intervention, Kindergarten, Grade 1
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Ball, Carrie R.; O'Connor, Edward – Assessment for Effective Intervention, 2016
This study examined the predictive validity and classification accuracy of two commonly used universal screening measures relative to a statewide achievement test. Results indicated that second-grade performance on oral reading fluency and the Measures of Academic Progress (MAP), together with special education status, explained 68% of the…
Descriptors: Oral Reading, Reading Fluency, Screening Tests, Achievement 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
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Truckenmiller, Adrea J.; Petscher, Yaacov; Gaughan, Linda; Dwyer, Ted – Regional Educational Laboratory Southeast, 2016
District and state education leaders frequently use screening assessments to identify students who are at risk of performing poorly on end-of-year achievement tests. This study examines the use of a universal screening assessment of reading skills for early identification of students at risk of low achievement on nationally normed tests of reading…
Descriptors: Prediction, Predictive Validity, Predictor Variables, Mathematics Achievement
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
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Lindsey, Beth A.; Nagel, Megan L. – Physical Review Special Topics - Physics Education Research, 2015
We have conducted an investigation into how well students in introductory science classes (both physics and chemistry) are able to predict which questions they will or will not be able to answer correctly on an upcoming assessment. An examination of the data at the level of students' overall scores reveals results consistent with the…
Descriptors: Accuracy, Self Evaluation (Individuals), Metacognition, Prediction
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Kim, Jennifer Sun; Vanderwood, Michael L.; Lee, Catherine Y. – Educational Assessment, 2016
This study examined the predictive validity of curriculum-based measures in reading for Spanish-speaking English learners (ELs) at various levels of English proficiency. Third-grade Spanish-speaking EL students were screened during the fall using DIBELS Oral Reading Fluency (DORF) and Daze. Predictive validity was examined in relation to spring…
Descriptors: Predictive Validity, Curriculum Based Assessment, English Language Learners, Language Proficiency
Laben, Joyce – ProQuest LLC, 2012
With the implementation of RTI, educators are attempting to find models that are the best fit for their schools. The problem solving and standard protocol models are the two most common. This study of 65 students examines a new model, the dynamic skills protocol implemented in an elementary school starting in their fourth quarter of kindergarten…
Descriptors: Response to Intervention, Reading Achievement, Elementary School Students, Predictive Validity