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Crawford, Angela R.; Johnson, Evelyn S.; Moylan, Laura A.; Zheng, Yuzhu – Grantee Submission, 2018
This study describes the development and initial psychometric evaluation of a Recognizing Effective Special Education Teachers (RESET) teacher observation instrument. Specifically, the study uses generalizability theory to compare two versions of a rubric, one with general descriptors of performance levels and one with item-specific descriptors of…
Descriptors: Special Education Teachers, Direct Instruction, Observation, Teaching Methods
Forastiere, Laura; Mattei, Alessandra; Ding, Peng – Grantee Submission, 2018
In causal mediation analysis, the definitions of the natural direct and indirect effects involve potential outcomes that can never be observed, so-called a priori counterfactuals. This conceptual challenge translates into issues in identification, which requires strong and often unverifiable assumptions, including sequential ignorability.…
Descriptors: Identification, Attribution Theory, Guidelines, Comparative Analysis
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Lemons, Christopher J.; Vaughn, Sharon; Wexler, Jade; Kearns, Devin M.; Sinclair, Anne C. – Grantee Submission, 2018
In "Endrew F. v Douglas County School District RE-1," the U.S. Supreme Court affirmed the requirement that schools provide special education services designed to confer education benefit that is more than de minimus. "Endrew" offers an opportunity for the special education community to consider whether students with learning…
Descriptors: Special Education, Student Needs, Court Litigation, Learning Disabilities
Ariel, Robert; Karpicke, Jeffrey D. – Grantee Submission, 2018
Repeated retrieval practice is a powerful learning tool for promoting long-term retention, but students use this tool ineffectively when regulating their learning. The current experiments evaluated the efficacy of a minimal intervention aimed at improving students' self-regulated use of repeated retrieval practice. Across 2 experiments, students…
Descriptors: Self Management, Recall (Psychology), Retention (Psychology), Intervention
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Anderson, Cynthia M.; Smith, Tristram; Iovannone, Rose – Grantee Submission, 2018
There is a large gap between research-based interventions for supporting children with autism spectrum disorder (ASD) and current practices implemented by educators to meet the needs of these children in typical school settings. Myriad reasons for this gap exist including the external validity of existing research, the complexity of ASD, and…
Descriptors: Pervasive Developmental Disorders, Autism, Capacity Building, Intervention
Zimmerman, Kathleen N.; Ledford, Jennifer R.; Severini, Katherine E.; Pustejovsky, James E.; Barton, Erin E.; Lloyd, Blair P. – Grantee Submission, 2018
Tools for evaluating the quality and rigor of single case research designs (SCD) are often used when conducting SCD syntheses. Preferred components include evaluations of design features related to the internal validity of SCD to obtain quality and/or rigor ratings. Three tools for evaluating the quality and rigor of SCD (Council for Exceptional…
Descriptors: Research Design, Evaluation Methods, Synthesis, Validity
Zimmerman, Kathleen N.; Pustejovsky, James E.; Ledford, Jennifer R.; Barton, Erin E.; Severini, Katherine E.; Lloyd, Blair P. – Grantee Submission, 2018
Varying methods for evaluating the outcomes of single case research designs (SCD) are currently used in reviews and meta-analyses of interventions. Quantitative effect size measures are often presented alongside visual analysis conclusions. Six measures across two classes--overlap measures (percentage non-overlapping data, improvement rate…
Descriptors: Research Design, Evaluation Methods, Synthesis, Intervention
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Enders, Craig K.; Keller, Brian T.; Levy, Roy – Grantee Submission, 2018
Specialized imputation routines for multilevel data are widely available in software packages, but these methods are generally not equipped to handle a wide range of complexities that are typical of behavioral science data. In particular, existing imputation schemes differ in their ability to handle random slopes, categorical variables,…
Descriptors: Hierarchical Linear Modeling, Behavioral Science Research, Computer Software, Bayesian Statistics
Braithwaite, David W.; Siegler, Robert S. – Grantee Submission, 2018
Fraction arithmetic is among the most important and difficult topics children encounter in elementary and middle school mathematics. Braithwaite, Pyke, and Siegler (2017) hypothesized that difficulties learning fraction arithmetic often reflect reliance on associative knowledge--rather than understanding of mathematical concepts and procedures--to…
Descriptors: Correlation, Fractions, Arithmetic, Mathematics Instruction
Foreman-Murray, Lindsay; Fuchs, Lynn S. – Grantee Submission, 2018
Student explanations of their mathematical thinking and conclusions have become a greater part of the assessment landscape in recent years. With a sample of 71 4th-grade students at-risk for mathematics learning disabilities, we investigated the relation between student accuracy in comparing the magnitude of fractions and the quality of students'…
Descriptors: Elementary School Students, Grade 4, Elementary School Mathematics, Mathematics Skills
Pustejovsky, James E. – Grantee Submission, 2018
Methods for meta-analyzing single-case designs (SCDs) are needed to inform evidence-based practice in clinical and school settings and to draw broader and more defensible generalizations in areas where SCDs comprise a large part of the research base. The most widely used outcomes in single-case research are measures of behavior collected using…
Descriptors: Meta Analysis, Case Studies, Evidence Based Practice, Behavioral Science Research
Rittle-Johnson, Bethany; Zippert, Erica L.; Boice, Katherine L. – Grantee Submission, 2018
Because math knowledge begins to develop at a young age to varying degrees, it is important to identify foundational cognitive and academic skills that might contribute to its development. The current study focused on two important, but often overlooked skills that recent evidence suggests are important contributors to early math development:…
Descriptors: Preschool Children, Mathematics, Mathematics Skills, Knowledge Level
Liu, Ran; Stamper, John; Davenport, Jodi – Grantee Submission, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
Early, Diane M.; Sideris, John; Neitzel, Jennifer; LaForett, Doré R.; Nehler, Chelsea G. – Grantee Submission, 2018
The Early Childhood Environment Rating Scale-Third Edition (ECERS-3) is the latest version of one of the most widely used observational tools for assessing the quality of classrooms serving preschool-aged children. This study was the first assessment of its factor structure and validity, an important step given its widespread use. An ECERS-3…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Factor Structure
Johnson, Evelyn S.; Crawford, Angela R.; Moylan, Laura A.; Zheng, Yuzhu – Grantee Submission, 2018
The Evidence-Centered Design (ECD) framework was used to create a special education teacher observation system, Recognizing Effective Special Education Teachers (RESET). Extensive reviews of research informed the domain analysis and modeling stages, and led to the conceptual framework in which effective special education teaching is…
Descriptors: Evidence Based Practice, Special Education Teachers, Observation, Disabilities
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