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Kuntz, Emily M.; Massey, Cynthia C.; Peltier, Corey; Barczak, Mary; Crowson, H. Michael – Teacher Education and Special Education, 2023
Through time-series graphs, teachers often evaluate progress monitoring data to make both low- and high-stakes decisions for students. The construction of these graphs--specifically, the presence of an aimline and the data points per x- to y-axis ratio (DPPXYR)--may impact decisions teachers make. The purpose of this study was to evaluate the…
Descriptors: Graphs, Preservice Teachers, Accuracy, Decision Making
Fatima, Saba – ProQuest LLC, 2023
Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…
Descriptors: Artificial Intelligence, Prediction, Outcomes of Education, At Risk Students
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Van Norman, Ethan R.; Klingbeil, David A.; McLendon, Katherine E. – Remedial and Special Education, 2019
Researchers and practitioners frequently use curriculum-based measures of reading (CBM-R) within single-case design (SCD) frameworks to evaluate the effects of reading interventions with individual students. Effect sizes (ESs) developed specifically for SCDs are often used as a supplement to visual analysis to gauge treatment effects. The degree…
Descriptors: Oral Reading, Error of Measurement, Progress Monitoring, Effect Size
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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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Kolovelonis, Athanasios; Goudas, Marios; Samara, Evdoxia – Journal of Experimental Education, 2022
This study examined the effects of a self-regulated learning teaching unit on students' performance calibration, goal attainment, and attributions in physical education. Participants were 101 fifth- and sixth-grade students who were randomly assigned to an experimental (57 students) and a control group (44 students). Calibration indexes were…
Descriptors: Physical Education, Grade 5, Grade 6, Performance
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Parker, David C.; Van Norman, Ethan; Nelson, Peter M. – Learning Disabilities Research & Practice, 2018
The accuracy of decision rules for progress monitoring data is influenced by multiple factors. This study examined the accuracy of decision rule recommendations with over 4,500 second-and third-grade students receiving a tier II reading intervention program. The sensitivity and specificity of three decision rule recommendations for predicting…
Descriptors: Progress Monitoring, Accuracy, Grade 2, Grade 3
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Van Norman, Ethan R.; Parker, David C. – Assessment for Effective Intervention, 2018
Recent simulations suggest that trend line decision rules applied to curriculum-based measurement of reading progress monitoring data may lead to inaccurate interpretations unless data are collected for upward of 3 months. The authors of those studies did not manipulate goal line slope or account for a student's level of initial performance when…
Descriptors: Comparative Analysis, Curriculum Based Assessment, Reading Tests, Progress Monitoring
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Van Norman, Ethan R.; Nelson, Peter M.; Parker, David C. – School Psychology Review, 2018
School psychologists regularly use decision rules to interpret student response to intervention in reading. Recent research suggests that the accuracy of those decision rules depends on the duration of progress monitoring, the number of observations available, and the amount of measurement error present. In this study, we extended existing…
Descriptors: Curriculum Based Assessment, School Psychologists, Decision Making, Accuracy
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de Bruin, Anique B. H.; Kok, Ellen M.; Lobbestael, Jill; de Grip, Andries – Metacognition and Learning, 2017
Being overconfident when estimating scores for an upcoming exam is a widespread phenomenon in higher education and presents threats to self-regulated learning and academic performance. The present study sought to investigate how overconfidence and poor monitoring accuracy vary over the length of a college course, and how an intervention consisting…
Descriptors: Self Esteem, College Students, Progress Monitoring, Intervention
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Volpe, Robert J.; Briesch, Amy M. – School Psychology Quarterly, 2015
Direct Behavior Rating-Multi-Item Scales (DBR-MIS) have been developed as formative measures of behavioral assessment for use in school-based problem-solving models. Initial research has examined the dependability of composite scores generated by summing all items comprising the scales. However, it has been argued that DBR-MIS may offer assessment…
Descriptors: Behavior Rating Scales, Outcome Measures, Progress Monitoring, Student Behavior