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Seitidis, Georgios; Tsokani, Sofia; Christogiannis, Christos; Kontouli, Katerina-Maria; Fyraridis, Alexandros; Nikolakopoulos, Stavros; Veroniki, Areti Angeliki; Mavridis, Dimitris – Research Synthesis Methods, 2023
Network meta-analysis (NMA) is an established method for assessing the comparative efficacy and safety of competing interventions. It is often the case that we deal with interventions that consist of multiple, possibly interacting, components. Examples of interventions' components include characteristics of the intervention, mode (face-to-face,…
Descriptors: Networks, Network Analysis, Meta Analysis, Intervention
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Manolov, Rumen; Tanious, René; Fernández-Castilla, Belén – Journal of Applied Behavior Analysis, 2022
In science in general and in the context of single-case experimental designs, replication of the effects of the intervention within and/or across participants or experiments is crucial for establishing causality and for assessing the generality of the intervention effect. Specific developments and proposals for assessing whether an effect has been…
Descriptors: Intervention, Behavioral Science Research, Replication (Evaluation), Research Design
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Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
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
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McKenna, John William; Bettini, Elizabeth – Beyond Behavior, 2018
Students with emotional and behavioral disorders (EBD) often have deficient reading skills that require intensive intervention. Effective intervention is comprehensive in nature, addressing individual student needs. This article provides an overview and recommendations for one potential component of individualized support: the use of repeated…
Descriptors: Reading Fluency, Secondary School Students, Behavior Disorders, Intervention
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Wells, Jenny C.; Sheehey, Patricia H.; Sheehey, Michael – Beyond Behavior, 2017
Self-regulation skills have been found to be an important predictor of achievement in mathematics. Teaching a student to regulate his or her behavior during independent math work sessions using self-monitoring of performance with self-graphing focuses him or her on academic performance and results in increases in productivity and math proficiency.…
Descriptors: Productivity, Self Management, Mathematics Achievement, Predictor Variables
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Noell, George H.; Gansle, Kristin A.; Mevers, Joanna Lomas; Knox, R. Maria; Mintz, Joslyn Cynkus; Dahir, Amanda – Journal of Behavioral Education, 2014
Twenty-nine peer-reviewed journal articles that analyzed intervention implementation in schools using single-case experimental designs were meta-analyzed. These studies reported 171 separate data paths and provided 3,991 data points. The meta-analysis was accomplished by fitting data extracted from graphs in mixed linear growth models. This…
Descriptors: Meta Analysis, Peer Evaluation, Journal Articles, Intervention
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Schulze, Margaret A. – TEACHING Exceptional Children, 2016
Self-management is a set of procedures that students can be taught to apply to their own behaviors to change them. In self-management, students are taught to observe, assess, and modify their own behavior. These procedures include such things as self-identifying and observing a target behavior and setting a goal to change it. Self-management…
Descriptors: Self Management, Autism, Pervasive Developmental Disorders, Intervention
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Danos, Xenia – Design and Technology Education, 2013
The paper describes the importance of graphicacy as a key communication tool in our everyday lives. The need to better understand the development of graphicacy and its use in the school curriculum is emphasised. The need for a new research tool is explained and the development of a new taxonomy of graphicacy is described. The use of this tool…
Descriptors: Curriculum Development, Graphs, Visual Literacy, Taxonomy
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Hojnoski, Robin L.; Gischlar, Karen L.; Missall, Kristen N. – Young Exceptional Children, 2009
Child performance data collected frequently in natural settings are important for monitoring progress toward short-term and long-term goals and are an essential component of instruction designed to improve outcomes for children. Organizing child performance data into graphic displays can promote the systematic use of data in educational decision…
Descriptors: Graphs, Disabilities, Educational Change, Decision Making
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Porter, Rhiannon; Guarienti, Kristy; Brydon, Barbara; Robb, Jeanine; Royston, Ann; Painter, Heidi; Sutherland, Alex; Passmore, Cynthia; Smith, Martin H. – Science Teacher, 2010
As science teachers at a suburban California high school, the authors were concerned about the lab report conclusions written by their upper-level chemistry, biology, and ecology students--which were consistently of poor quality. Their work lacked inferences derived from data and support for their concluding statements. Working as part of a…
Descriptors: Biology, Chemistry, Ecology, Science Teachers
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Gischlar, Karen L.; Hojnoski, Robin L.; Missall, Kristen N. – Young Exceptional Children, 2009
This article is the third in a series describing the steps in using data-based decision making to inform intervention and, ultimately, improve outcomes for children. Whereas the first two articles describe identifying and measuring important behaviors to target for intervention, the purpose of this article is to describe basic considerations in…
Descriptors: Intervention, Graphs, Decision Making, Data Analysis
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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
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Lingo, Amy S.; Jolivette, Kristine; Barton-Arwood, Sally M. – Preventing School Failure, 2009
On a routine basis, educators collect data on their students' academic and social performance to make informed decisions regarding curricular and social instruction. The authors conducted a case study for a student with emotional and behavioral disorders. The student's teacher provided oral and visual feedback during reading instruction. Data…
Descriptors: Feedback (Response), Social Behavior, Behavior Disorders, Reading Instruction