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Amanda A. Wolkowitz; Russell Smith – Practical Assessment, Research & Evaluation, 2024
A decision consistency (DC) index is an estimate of the consistency of a classification decision on an exam. More specifically, DC estimates the percentage of examinees that would have the same classification decision on an exam if they were to retake the same or a parallel form of the exam again without memory of taking the exam the first time.…
Descriptors: Testing, Test Reliability, Replication (Evaluation), Decision Making
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Christine M. White; Christopher Schatschneider – Contemporary School Psychology, 2024
Universal screening to predict students' risk for reading problems is a foundational component of the Multi-Tiered Systems of Support framework and is required by law in many US states. School or district administrators are tasked with selecting screening assessments that are both technically adequate and feasible given the resources of their…
Descriptors: Screening Tests, Reading Tests, Reading Difficulties, Classification
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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
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Koller, Katherine A.; Hojnoski, Robin L.; Van Norman, Ethan R. – Assessment for Effective Intervention, 2022
A strong foundation in early literacy supports children's academic pursuits and impacts personal, social, and economic outcomes. Therefore, examining the adequacy of early literacy assessments as predictors of future performance on important outcomes is critical for identifying students at risk of reading problems. This study explored the…
Descriptors: Classification, Accuracy, Emergent Literacy, Predictive Validity
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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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Wu, Jiun-Yu; Hsiao, Yi-Cheng; Nian, Mei-Wen – Interactive Learning Environments, 2020
This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…
Descriptors: Social Media, Discussion Groups, Artificial Intelligence, Classification
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de León, Sara C.; Jiménez, Juan E.; García, Eduardo; Gutiérrez, Nuria; Gil, Verónica – Learning Disability Quarterly, 2021
The main purpose of this study was to validate the curriculum-based measure "Indicadores de Progreso de Aprendizaje en Matemáticas" (IPAM [Indicators of Basic Early Math Skills]) in a local, Spanish-speaking context. This tool has been designed to identify first-grade students at risk for mathematics learning disabilities. The IPAM…
Descriptors: Mathematics Skills, Curriculum Based Assessment, Grade 1, Elementary School Students
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Simpson, Adrian – Studies in Higher Education, 2017
Within higher education systems, different institutions deliver different patterns of disciplines. A simple analysis of the structure of that pattern of disciplines across institutions in one higher education system uncovers a surprising relationship. That is, the key dimensions which describe that structure align nearly perfectly with dimensions…
Descriptors: Higher Education, Classification, Intellectual Disciplines, Predictive Validity
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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
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Walker, Eddie G., II – Journal of Higher Education Policy and Management, 2016
The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was…
Descriptors: Higher Education, Predictive Measurement, Predictive Validity, Prediction
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Gargani, John; Strong, Michael – Journal of Teacher Education, 2015
In Gargani and Strong (2014), we describe The Rapid Assessment of Teacher Effectiveness (RATE), a new teacher evaluation instrument. Our account of the validation research associated with RATE inspired a review by Good and Lavigne (2015). Here, we reply to the main points of their review. We elaborate on the validity, reliability, theoretical…
Descriptors: Evidence, Teacher Effectiveness, Teacher Evaluation, Evaluation Methods
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Hartman, Kelsey; Gresham, Frank M.; Byrd, Shelby – Behavioral Disorders, 2017
Universal screening for emotional and behavioral risk in schools facilitates early identification and intervention for students as part of multitiered systems of support. Early identification has the potential to mitigate adverse outcomes of emotional and behavioral disorders. The purpose of this study was to extend existing research on the…
Descriptors: Behavior Problems, Screening Tests, Test Validity, Test Reliability
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Cahan, Sorel; Fono, Dafna; Nirel, Ronit – Journal of Learning Disabilities, 2012
The regression-based discrepancy definition of learning disabilities has been suggested by Rutter and Yule as an improvement of the well-known and much criticized achievement-intelligence discrepancy definition, whereby the examinee's predicted reading attainment is substituted for the intelligence score in the discrepancy expression. Even though…
Descriptors: Intelligence, Learning Disabilities, Predictive Validity, Definitions
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Bovin, Michelle J.; Marx, Brian P. – Psychological Bulletin, 2011
In the "Diagnostic and Statistical Manual of Mental Disorders" (4th ed., text rev., "DSM-IV-TR"; American Psychiatric Association, 2000), posttraumatic stress disorder (PTSD) Criterion A2 stipulates that an individual must experience intense fear, helplessness, or horror during an event that threatened the life or physical integrity of oneself or…
Descriptors: Posttraumatic Stress Disorder, Clinical Diagnosis, Criteria, Fear
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