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Dart, Evan H.; Van Norman, Ethan R.; Klingbeil, David A.; Radley, Keith C. – Journal of Behavioral Education, 2023
Curriculum-based measurement (CBM) represents a critical strategy for data-based decisionmaking within educational settings. Visual analysis is frequently used to analyze CBM data; thus, CBM vendors often automatically generate graphs based on student data to facilitate analysis. Differences in graph formatting are apparent across CBM vendors, and…
Descriptors: Graphs, Visual Aids, Curriculum Based Assessment, Vendors
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LaLonde, Kate; VanDerwall, Rena; Truckenmiller, Adrea J.; Walsh, Meagan – Psychology in the Schools, 2023
The current study used a randomized control trial to evaluate a decision-making model on special education preservice candidates' instructional decision-making and self-reported confidence ratings when analyzing graphed student data. Thirty-two special education preservice candidates viewed authentic curriculum-based measurement (CBM) graphs and…
Descriptors: Decision Making, Models, Special Education, Preservice Teachers
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Cynthia C. Massey; Emily M. Kuntz; Corey Peltier; Mary A. Barczak; H. Michael Crowson – International Journal for Research in Learning Disabilities, 2024
Enhancing special educators' data literacy is critical to informing instructional decision-making, especially for students with learning disabilities. One tool special educators commonly use is curriculum-based measurement (CBM). These data are displayed on time-series graphs, and student responsiveness is evaluated. Graph construction varies and…
Descriptors: Special Education Teachers, Preservice Teachers, Progress Monitoring, Information Literacy
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Newell, Kirsten W.; Christ, Theodore J. – Assessment for Effective Intervention, 2017
Curriculum-Based Measurement of Reading (CBM-R) is frequently used to monitor instructional effects and evaluate response to instruction. Educators often view the data graphically on a time-series graph that might include a variety of statistical and visual aids, which are intended to facilitate the interpretation. This study evaluated the effects…
Descriptors: Progress Monitoring, Graphs, Curriculum Based Assessment, Reading Tests
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Espin, Christine A.; Wayman, Miya Miura; Deno, Stanley L.; McMaster, Kristen L.; de Rooij, Mark – Learning Disabilities Research & Practice, 2017
In this special issue, we explore the decision-making aspect of "data-based decision-making". The articles in the issue address a wide range of research questions, designs, methods, and analyses, but all focus on data-based decision-making for students with learning difficulties. In this first article, we introduce the topic of…
Descriptors: Data Analysis, Decision Making, Curriculum Based Assessment, Graphs
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Wagner, Dana L.; Hammerschmidt-Snidarich, Stephanie M.; Espin, Christine A.; Seifert, Kathleen; McMaster, Kristen L. – Learning Disabilities Research & Practice, 2017
Teachers must be proficient at using data to evaluate the effects of instructional strategies and interventions, and must be able to make, describe, justify, and validate their data-based instructional decisions to parents, students, and educational colleagues. An important related skill is the ability to accurately read and interpret…
Descriptors: Preservice Teachers, Progress Monitoring, Curriculum Based Assessment, Teacher Competencies
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Zeuch, Nina; Förster, Natalie; Souvignier, Elmar – Learning Disabilities Research & Practice, 2017
Learning progress assessment (LPA) provides formative information about effectiveness of instructional decisions. Learning curves are usually presented as graphical illustrations. However, little is known about teachers understanding and interpreting of graphically presented information. An instrument to measure competencies in reading graphs from…
Descriptors: Instructional Effectiveness, Decision Making, Graphs, Knowledge Level