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Matthew J. Madison; Seungwon Chung; Junok Kim; Laine P. Bradshaw – Grantee Submission, 2023
Recent developments have enabled the modeling of longitudinal assessment data in a diagnostic classification model (DCM) framework. These longitudinal DCMs were developed to provide measures of student growth on a discrete scale in the form of attribute mastery transitions, thereby supporting categorical and criterion-referenced interpretations of…
Descriptors: Models, Cognitive Measurement, Diagnostic Tests, Classification
Ann C. Jolly; Kristen D. Beach; Heather H. Aiken; Steven J. Amendum – Grantee Submission, 2023
The field of education relies heavily on instructional coaches to build teacher capacity in the implementation of evidence-based practices (EBPs). Although observation tools are commonly used to measure the fidelity of implementation by teachers, fewer tools are available to identify specific coaching behaviors used during in situ coaching…
Descriptors: Coaching (Performance), Observation, Research Tools, Reliability
Dae Woong Ham; Luke Miratrix – Grantee Submission, 2024
The consequence of a change in school leadership (e.g., principal turnover) on student achievement has important implications for education policy. The impact of such an event can be estimated via the popular Difference in Difference (DiD) estimator, where those schools with a turnover event are compared to a selected set of schools that did not…
Descriptors: Trend Analysis, Faculty Mobility, Academic Achievement, Principals
Mantzicopoulos, Panayota; French, Brian F.; Patrick, Helen – Grantee Submission, 2018
Research Findings: We evaluated the score stability of the Mathematical Quality of Instruction (MQI), an observational measure of mathematics instruction. Three raters each scored, independently, 100 video-recorded lessons taught by 20 kindergarten teachers in the spring. Using generalizability theory analyses, we decomposed the MQI's score…
Descriptors: Kindergarten, Mathematics Instruction, Educational Quality, Classroom Observation Techniques
Josh Leung-Gagné; Sean F. Reardon – Grantee Submission, 2023
Recent studies have shown that U.S. Census-- and American Community Survey (ACS)--based estimates of income segregation are subject to upward finite sampling bias (Logan et al. 2018; Logan et al. 2020; Reardon et al. 2018). We identify two additional sources of bias that are larger and opposite in sign to finite sampling bias: measurement…
Descriptors: Income, Low Income Groups, Social Bias, Statistical Bias
Lekwa, Adam J.; Reddy, Linda A. – Grantee Submission, 2021
Paraprofessionals have become a significant portion of the educational workforce for students with or at risk for needing, or receiving special educational services. Although best practice and federal legislation require supervision of paraprofessionals by certified professional educators, research indicates that supervision rendered to…
Descriptors: Paraprofessional School Personnel, Special Education, Personnel Evaluation, Evaluation Methods
Kylie L. Anglin; Vivian C. Wong; Arielle Boguslav – Grantee Submission, 2021
Though there is widespread recognition of the importance of implementation research, evaluators often face intense logistical, budgetary, and methodological challenges in their efforts to assess intervention implementation in the field. This article proposes a set of natural language processing techniques called semantic similarity as an…
Descriptors: Natural Language Processing, Program Implementation, Measurement Techniques, Intervention
Natalie R. Charamut; Sarah J. Racz; Mo Wang; Andres De Los Reyes – Grantee Submission, 2022
Accurately assessing youth mental health involves obtaining reports from multiple informants who typically display low levels of correspondence. This low correspondence may reflect "situational specificity." That is, youth vary as to where they display mental health concerns and informants vary as to where and from what perspective they…
Descriptors: Youth, Parents, Mental Health, Researchers
Kristin Michod Gagnier; Steven J. Holochwost; Melissa Ceren; Kelly R. Fisher – Grantee Submission, 2024
American students continue to perform poorly on national and international assessments of Science, Technology, Engineering, and Mathematics (STEM) competencies, and achievement gaps spanning racial/ethnic and socioeconomic lines emerge early and widen over time. Scholars and practitioners agree that expanding access to high-quality STEM education…
Descriptors: Elementary School Students, STEM Education, Disproportionate Representation, Scientific Attitudes
Shannon Ryan; Thomas J. Power; Laura Pendergast; Bridget Poznanski; Jenelle Nissley-Tsiopinis; Howard Abikoff; Richard Gallagher; Katie Tremont; Jaclyn Cacia; Jennifer A. Mautone – Grantee Submission, 2024
Organization, time management, and planning (OTMP) skills are behavioral manifestations of executive functioning linked to academic outcomes. Interventions to improve OTMP skills have shown favorable outcomes. The Children's Organizational Skills Scale parent and teacher forms (COSS-P, COSS-T) are widely used for assessing OTMP skills, but there…
Descriptors: Psychometrics, Rating Scales, Executive Function, Time Management
Sarah Lindstrom Johnson; Ana Maria Meléndez Guevara; Ashley Preves – Grantee Submission, 2023
Introduction: Research suggests that one of the most pervasive consequences of traumatic events is the resulting dysregulation of emotions. Educators, including teachers, administrators, and student services staff, are instrumental in supporting students as they navigate overwhelming emotions by modeling and teaching skills to regulate emotional…
Descriptors: Teachers, Self Efficacy, Emotional Response, Self Management
Richard Correnti; Lindsay Clare Matsumura; Elaine Lin Wang; Diane Litman; Haoran Zhang – Grantee Submission, 2022
Recent reviews of automated writing evaluation systems indicate lack of uniformity in the purpose, design, and assessment of such systems. Our work lies at the nexus of critical themes arising from these reviews. We describe our work on eRevise, an automated writing evaluation system focused on elementary students' text-based evidence-use. eRevise…
Descriptors: Writing Evaluation, Feedback (Response), Automation, Elementary School Students
Baraldi Cunha, Andrea; Babik, Iryna; Harbourne, Regina; Cochran, Nathanial J.; Stankus, Jaclynn; Szucs, Kimberly; Lobo, Michele A. – Grantee Submission, 2019
Objective: To assess the convergent validity and reliability of joint angle measurements from a new video goniometer iPhone/iPad application separately in adults, older and young children. Design: Cross-sectional. Setting: Child care and university environments. Participants: Fifty-four adults (mean SD=22.5 [plus or minus] 4.5y), 20 older children…
Descriptors: Adults, Children, Measurement, Validity
Lillie Moffett; Carol Flannagan; Priti Shah – Grantee Submission, 2020
This study is an extension of an experiment where the reliability of children's environment was manipulated before children completed the Marshmallow Task (Cognition, 2013, Vol. 126, pp. 109-114). In that experiment, Kidd, Palmeri, and Aslin found a significant difference in waiting time between two conditions in which the experimenter…
Descriptors: Task Analysis, Delay of Gratification, Self Control, Rewards
Hedges, Larry V.; Schauer, Jacob M. – Grantee Submission, 2019
The problem of assessing whether experimental results can be replicated is becoming increasingly important in many areas of science. It is often assumed that assessing replication is straightforward: All one needs to do is repeat the study and see whether the results of the original and replication studies agree. This article shows that the…
Descriptors: Replication (Evaluation), Research Design, Research Methodology, Program Evaluation