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McCarthy, Kathryn S.; Magliano, Joseph P.; Snyder, Jacob O.; Kenney, Elizabeth A.; Newton, Natalie N.; Perret, Cecile A.; Knezevic, Melanie; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2021
The objective in the current paper is to examine the processes of how our research team negotiated meaning using an iterative design approach as we established, developed, and refined a rubric to capture comprehension processes and strategies evident in students' verbal protocols. The overarching project comprises multiple data sets, multiple…
Descriptors: Scoring Rubrics, Interrater Reliability, Design, Learning Processes
Ben-Michael, Eli; Feller, Avi; Stuart, Elizabeth A. – Grantee Submission, 2021
To limit the spread of the novel coronavirus, governments across the world implemented extraordinary physical distancing policies, such as stay-at-home orders, and numerous studies aim to estimate their effects. Many statistical and econometric methods, such as difference-in-differences, leverage repeated measurements and variation in timing to…
Descriptors: COVID-19, Pandemics, Public Policy, Disease Control
Benz, Sarah A.; Powell, Sarah R. – Grantee Submission, 2021
Some elementary students may exhibit challenging externalizing or internalizing behaviors in addition to difficulty with mathematics. In this study, we explored the behavioral patterns of 441 3rd-grade students with and without mathematics difficulty (MD). Compared to students without MD, students with MD demonstrated higher rates of externalizing…
Descriptors: Word Problems (Mathematics), Intervention, Mathematics Instruction, Learning Problems
Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Reading Processes, Memory, Schemata (Cognition)
Ionita, Remus Florentin; Dascalu, Mihai; Corlatescu, Dragos-Georgian; McNamara, Danielle S – Grantee Submission, 2021
Exploring new or emerging research domains or subdomains can become overwhelming due to the magnitude of available resources and the high speed at which articles are published. As such, a tool that curates the information and underlines central entities, both authors and articles from a given research context, is highly desirable. Starting from…
Descriptors: Prediction, Learning Analytics, Authors, Network Analysis
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…
Descriptors: Phrase Structure, Networks, Semantics, Feedback (Response)
Fallon, Lindsay M.; Veiga, Margarida; Sugai, George – Grantee Submission, 2021
Despite widespread implementation of multi-tiered systems of support for behavior (MTSS-B), evidence of racial discipline disproportionality persists. We argue MTSS-B must prioritize racial equity and healing in schools. We first discuss how discipline has centered Whiteness, providing a brief history of relevant events and sociopolitical forces…
Descriptors: Multi Tiered Systems of Support, Student Behavior, Discipline, Race
Moeyaert, Mariola; Yang, Panpan – Grantee Submission, 2021
This study introduces an innovative meta-analytic approach, two-stage multilevel meta-analysis that considers the hierarchical structure of single-case experimental design (SCED) data. This approach is unique as it is suitable to include moderators at the intervention level, participant level, and study level, and is therefore especially…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Case Studies
Fingerhut, Joelle; Xunyun, Xu; Moeyaert, Mariola – Grantee Submission, 2021
A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data…
Descriptors: Case Studies, Research Design, Research Tools, Decision Making
Moeyaert, Mariola; Yang, Panpan; Xu, Xinyun; Kim, Esther – Grantee Submission, 2021
Hierarchical linear modeling (HLM) has been recommended as a meta-analytic technique for the quantitative synthesis of single-case experimental design (SCED) studies. The HLM approach is flexible and can model a variety of different SCED data complexities, such as intervention heterogeneity. A major advantage of using HLM is that participant…
Descriptors: Meta Analysis, Case Studies, Research Design, Hierarchical Linear Modeling
Fallon, Lindsay M.; Cathcart, Sadie C.; Johnson, Austin H. – Grantee Submission, 2021
The "Assessment of Culturally and Contextually Relevant Supports" (ACCReS) was developed in response to the need for well-constructed instruments to measure teachers' cultural responsiveness and guide decision-making related to professional development needs. The current study sought to evaluate the presence of differential item…
Descriptors: Test Bias, Self Evaluation (Individuals), Culturally Relevant Education, Measures (Individuals)
Moeyaert, Mariola; Yang, Panpan; Xu, Xinyun – Grantee Submission, 2021
This study investigated the power of two-level hierarchical linear modeling (HLM) to explain variability in intervention effectiveness between participants in context of single-case experimental design (SCED) research. HLM is a flexible technique that allows the inclusion of participant characteristics (e.g., age, gender, and disability types) as…
Descriptors: Hierarchical Linear Modeling, Intervention, Research Design, Participant Characteristics
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Bradshaw, Catherine P.; Pas, Elise T.; Musci, Rashelle J.; Kush, Joseph; Ryoo, Ji Hoon – Grantee Submission, 2021
This study examined the impact of a state policy requiring that any school with a habitual truancy rate of 8% of higher to be trained in Tier 1 school-wide Positive Behavioral Interventions and Supports (SW-PBIS). A regression discontinuity (RD) design was used to examine how the schools' mandate status related to SW-PBIS training as well as…
Descriptors: State Policy, Middle Schools, High Schools, Truancy
Mercer, Sterett H.; Cannon, Joanna E.; Squires, Bonita; Guo, Yue; Pinco, Ella – Grantee Submission, 2021
We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1-12 who received 1:1 academic tutoring through a community-based organization completed…
Descriptors: Curriculum Based Assessment, Automation, Scoring, Writing Tests
Greenwood, Charles R.; Carta, Judith J.; Schnitz, Alana G.; Higgins, Susan; Buzhardt, Jay; Walker, Dale; Jia, Fan; Irvin, Dwight – Grantee Submission, 2021
Measures of young children's social development are needed in the MultiTier System of Supports (MTSS) approach to early childhood. In 2004, we reported initial development of an observational measure of infants' and toddlers' social skills designed for early educators, the Early Social Indicator (ESI). Here, we report preliminary findings on the…
Descriptors: Infants, Toddlers, Social Indicators, Child Development
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