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Dart, Evan H.; Radley, Keith C. – Psychology in the Schools, 2023
Single-case design is a research methodology that entails repeated measurement to assess the influence of an independent variable on a dependent variable over time. Data collected in this manner are regularly analyzed using visual analysis of data displayed in a linear graph. Although there is agreement regarding critical elements of visual…
Descriptors: Research Design, Research Methodology, Data Collection, Data Analysis
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William McHenry – Journal of Management Education, 2024
The prevalent paradigm for understanding what constitutes a 'good' data visualization, and what we are likely teaching business students, relates to a conventional wisdom of efficiency, clarity, transparency, and faithful representation of truth. Teaching about the ethics of visualizations seems to be largely absent from business school curricula.…
Descriptors: Ethics, Management Development, Business Administration Education, Visual Aids
Mason, Erica N.; Smith, R. Alex – Intervention in School and Clinic, 2020
Intervention dosage is an often-overlooked aspect of implementation fidelity. Tracking intervention dosage is critical for ensuring students with disabilities were present for and received the intervention for as many minutes as intended. Used in tandem with student performance data, intervention dosage can provide a clearer picture of…
Descriptors: Intervention, Program Implementation, Fidelity, Students with Disabilities
Kabot, Susan; Reeve, Christine E. – National Professional Resources, Inc., 2016
Faced with increasing demands for accountability, teachers are having to base their instructional decisions and choice of interventions on data on student performance. This book shows how to make this otherwise daunting task much more manageable by means of case studies and countless evidence-based forms and graphs. Although this book often refers…
Descriptors: Data Collection, Data Analysis, Accountability, Decision Making
Eliason, Bert; Morris, Kelsey – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2015
Data-based decision making is enhanced by identifying a precise problem statement or question to explore. When looking at a problem, the nearer we get to the precise problem (e.g., where and when it is occurring, who is involved, and why the problem is continuing in context and location) the more quickly we can build an action plan to effectively…
Descriptors: Behavior Problems, Student Behavior, Discipline Problems, Problem Solving
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Idil, Feriha Hande; Narli, Serkan; Aksoy, Esra – International Journal of Education in Mathematics, Science and Technology, 2016
The aim of this study is to examine middle school students' attitude towards mathematics in the context of their mathematic learning preferences using data mining which is data analysis methodology that has been successfully used in different areas including educational domains. "How do I actually learn?" questionnaire and attitude scale…
Descriptors: Mathematics Instruction, Middle School Students, Student Attitudes, Secondary School Mathematics
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Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
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Olmos, Martin; Corrin, Linda – Australasian Journal of Educational Technology, 2012
The developing field of academic analytics seeks to turn data from educational systems into actionable intelligence for the improvement of teaching and learning. This paper reports on the implementation of analytics in a new medical school with an integrated curriculum and clinical focus. Analytics addressed two challenges in the curriculum:…
Descriptors: Medical Schools, Medical Education, Integrated Curriculum, Clinical Experience
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Hojnoski, Robin L.; Gischlar, Karen L.; Missall, Kristen N. – Young Exceptional Children, 2009
Collecting and graphing performance data are important parts of the educational process. Such procedures help educators, caregivers, and other important stakeholders make data-based decisions to accelerate child progress. With school-age children, collecting and graphing data have been associated with more frequent instructional changes to better…
Descriptors: Caregivers, Data Collection, Evaluation Methods, Graphs