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Abolhasani, Hamideh; Golparvar, Seyyed Ehsan; Robatjazi, Mohammad Ali – Journal of Psycholinguistic Research, 2022
Research on integrated writing tasks is increasing, while there is a paucity of empirical findings on graph-based writing, as one type of these tasks. The present study purports to examine the contribution of L2 writing anxiety to university students' graph writing performance and the strategies they employ for these tasks. The participants of…
Descriptors: College Students, Second Language Learning, Writing Apprehension, Writing (Composition)
Joao M. Souto-Maior; Kenneth A. Shores; Rachel E. Fish – Annenberg Institute for School Reform at Brown University, 2025
Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…
Descriptors: Control Groups, Predictor Variables, Correlation, Selection Criteria
Belmonte-Mulhall, Colleen P.; Harrison, Judith R. – Journal of Applied School Psychology, 2023
Students with or at-risk of High Incidence Disabilities (HID) experience negative short and long-term outcomes. To intervene, many schools have elected to implement evidence-based practices within Multi-Tiered Systems of Support (MTSS), such as Response to Intervention (RTI). MTSS target the academic and behavioral progress of students deemed 'at…
Descriptors: Multi Tiered Systems of Support, Students with Disabilities, Student Behavior, Data Interpretation
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
Bowers, Alex J.; Zhou, Xiaoliang – Journal of Education for Students Placed at Risk, 2019
Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently emerged as an attractive domain for states and school districts interested in predicting student outcomes using data that schools already collect with the intention to better time and tailor interventions. However, current diagnostic measures used across the domain do not…
Descriptors: Accuracy, Predictor Variables, Outcomes of Education, Educational Diagnosis
Bodner, Todd E. – Journal of Educational and Behavioral Statistics, 2016
This article revisits how the end points of plotted line segments should be selected when graphing interactions involving a continuous target predictor variable. Under the standard approach, end points are chosen at ±1 or 2 standard deviations from the target predictor mean. However, when the target predictor and moderator are correlated or the…
Descriptors: Graphs, Multiple Regression Analysis, Predictor Variables, Correlation
Oslund, Eric L.; Elleman, Amy M.; Wallace, Kelli – Journal of Learning Disabilities, 2021
In tiered instructional systems (Response to Intervention [RTI]/Multitier System of Supports [MTSS]) that rely on ongoing assessment of students at risk of experiencing academic difficulties, the ability to make informed decisions using student data is critical for student learning. Prior research has demonstrated that, on average, teachers have…
Descriptors: Data Use, Decision Making, Data Interpretation, Professional Development
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
Robertson, Bill – Science and Children, 2014
At first glance it seems easy to attribute cause and effect when it's not applicable, either through mistakenly taking every correlation as a cause and effect relationship, misinterpreting the meaning of independent and dependent variables, or not focusing on direct causes. Sometimes it's easy to help students understand where…
Descriptors: Science Instruction, Elementary School Science, Scientific Concepts, Correlation
Likens, Aaron D.; McCarthy, Kathryn S.; Allen, Laura K.; McNamara, Danielle D. – Grantee Submission, 2018
Self-explanations are commonly used to assess on-line reading comprehension processes. However, traditional methods of analysis ignore important temporal variations in these explanations. This study investigated how dynamical systems theory could be used to reveal linguistic patterns that are predictive of self-explanation quality. High school…
Descriptors: Reading Comprehension, High School Students, Content Area Reading, Sciences
Cromley, Jennifer G.; Booth, Julie L.; Wills, Theodore W.; Chang, Briana L.; Tran, Nhi; Madeja, Michael; Shipley, Thomas F.; Zahner, William – Mathematical Thinking and Learning: An International Journal, 2017
Spatial skills have been shown in various longitudinal studies to be related to multiple science, technology, engineering, and math (STEM) achievement and retention. The specific nature of this relation has been probed in only a few domains, and has rarely been investigated for calculus, a critical topic in preparing students for and in STEM…
Descriptors: Spatial Ability, Regression (Statistics), STEM Education, Majors (Students)
Stapel, Martin; Zheng, Zhilin; Pinkwart, Niels – International Educational Data Mining Society, 2016
The number of e-learning platforms and blended learning environments is continuously increasing and has sparked a lot of research around improvements of educational processes. Here, the ability to accurately predict student performance plays a vital role. Previous studies commonly focused on the construction of predictors tailored to a formal…
Descriptors: Teaching Methods, Academic Achievement, Electronic Learning, Mathematics Instruction
Chimhande, Tinoda; Naidoo, Ana; Stols, Gerrit – Africa Education Review, 2017
This article reports on a study of six Grade 11 learners' levels of understanding of concepts related to the function definition and representation. Task-based clinical interviews were used to elicit the learners' interpretations and reasoning when working with these function-related concepts. Indicators for Action-Process-Object-Schema (APOS)…
Descriptors: Grade 11, Mathematics Instruction, Mathematical Concepts, Case Studies
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
Gage, Nicholas A.; Lewis, Timothy J. – Journal of Special Education, 2014
The identification of evidence-based practices continues to provoke issues of disagreement across multiple fields. One area of contention is the role of single-subject design (SSD) research in providing scientific evidence. The debate about SSD's utility centers on three issues: sample size, effect size, and serial dependence. One potential…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Sample Size

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