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Finch, W. Holmes; Finch, Maria E. Hernández; Avery, Brooke – Learning Disabilities Research & Practice, 2023
Progress monitoring using curriculum-based measures administered to a student at multiple points in time is common in educational settings. Recent research has demonstrated that common approaches to identifying individuals in need of special services, such as the trend line or median techniques, can be negatively impacted by the nonlinear change…
Descriptors: Progress Monitoring, Curriculum Based Assessment, Student Evaluation, Identification
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Dawes, Jillian; Solomon, Benjamin; McCleary, Daniel F.; Ruby, Cutler; Poncy, Brian C. – Assessment for Effective Intervention, 2022
The current availability of research examining the precision of single-skill mathematics (SSM) curriculum-based measurements (CBMs) for progress monitoring is limited. Given the observed variance in administration conditions across current practice and research use, we examined potential differences between student responding and precision of…
Descriptors: Curriculum Based Assessment, Mathematics Curriculum, Progress Monitoring, Accuracy
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Forthmann, Boris; Förster, Natalie; Souvignier, Elmar – Journal of Intelligence, 2022
Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…
Descriptors: Learning Processes, Progress Monitoring, Robustness (Statistics), Bayesian Statistics
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Ethan R. Van Norman; David A. Klingbeil; Kristen Truman; Peter M. Nelson; David C. Parker – Grantee Submission, 2024
The transition from sounding out unfamiliar words to effortlessly reading connected text does not occur all at once nor at the same rate for students. The purpose of this study was to explore the accuracy of three decision rules (data point, median, and trend line) applied to progress monitoring outcomes of alphabetic principle (nonsense word…
Descriptors: Progress Monitoring, Outcomes of Education, Reading Rate, Word Recognition
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Ethan R. Van Norman; David A. Klingbeil; Kirsten Truman; Peter M. Nelson; David C. Parker – Remedial and Special Education, 2024
The transition from sounding out unfamiliar words to effortlessly reading connected text does not occur all at once or at the same rate for students. The purpose of this study was to explore the accuracy of three decision rules (data point, median, and trend line) applied to progress monitoring outcomes of alphabetic principle (nonsense word…
Descriptors: Progress Monitoring, Outcomes of Education, Reading Rate, Word Recognition
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D'Agostino, Jerome V.; Rodgers, Emily; Mauck, Susan – Reading Research Quarterly, 2018
The authors used nationally based, random sample data from three different years (2009-2010, 2011-2012, and 2014-2015) for nearly 20,000 first-grade students (n = 9,760, 3,657, and 3,121, respectively) to examine long-reported inadequacies of a commonly used early literacy assessment tool, the Observation Survey of Early Literacy Achievement…
Descriptors: Elementary School Students, Grade 1, Emergent Literacy, Student Evaluation
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Golovachyova, Viktoriya N.; Menlibekova, Gulbakhyt Zh.; Abayeva, Nella F.; Ten, Tatyana L.; Kogaya, Galina D. – International Journal of Environmental and Science Education, 2016
Using computer-based monitoring systems that rely on tests could be the most effective way of knowledge evaluation. The problem of objective knowledge assessment by means of testing takes on a new dimension in the context of new paradigms in education. The analysis of the existing test methods enabled us to conclude that tests with selected…
Descriptors: Expertise, Computer Assisted Testing, Student Evaluation, Knowledge Level
National Center on Response to Intervention, 2013
A valid screening system requires a screener that accurately predicts whether or not students are at risk given their current performance. To understand a screening measure's accuracy, predicted student performance data (i.e., screening data) must be compared with actual performance data. When these sets of data are compared in a setting where…
Descriptors: Screening Tests, Classification, Accuracy, Response to Intervention
Jimerson, Shane R., Ed.; Burns, Matthew K., Ed.; VanDerHeyden, Amanda M., Ed. – Springer, 2016
The second edition of this essential handbook provides a comprehensive, updated overview of the science that informs best practices for the implementation of response to intervention (RTI) processes within Multi-Tiered Systems of Support (MTSS) to facilitate the academic success of all students. The volume includes insights from leading scholars…
Descriptors: Response to Intervention, Student Evaluation, Reading Skills, Writing Skills