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Kelly Farquharson; K. Brooke Ott; Anne C. Reed – Grantee Submission, 2024
Purpose: Dyslexia, a neurobiological phonological processing deficit, can be identified early; however, there is a substantial variation between and within states regarding who makes this diagnosis and when. Dyslexia evaluations are often challenging to obtain and very expensive for families who need to seek them outside of the school setting. The…
Descriptors: Dyslexia, Clinical Diagnosis, Educational Diagnosis, Allied Health Personnel
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Christy Derrick; Catherine Snyder; Kristin LaRoche; Stephanie Marshall; Kathy Dowell – Grantee Submission, 2024
Union County Public Schools (UCPS) received a U.S. Department of Education Teacher and School Leader Incentive Program grant in 2017, supporting the EPIC program aimed at transforming education in 13 low-performing, high-poverty schools. The EPIC initiative had two primary goals: redesigning the Human Capital Management System and…
Descriptors: Public School Teachers, Teacher Effectiveness, Teacher Evaluation, Performance Based Assessment
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Sonia Q. Cabell; Tricia A. Zucker – Grantee Submission, 2024
Engaging in frequent, meaningful conversation during the early years of schooling is foundational for children's literacy development. Specifically, developing oral language through daily conversations is essential for language comprehension, and eventually, reading comprehension. In this article, we discuss how teachers can use the…
Descriptors: Interpersonal Communication, Language Skills, Oral Language, Preschool Education
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Olga Rodriguez; Daniel Payares-Montoya; Kevin Cook – Grantee Submission, 2024
The pandemic created daunting challenges for higher education. The federal government provided California Community Colleges billions of dollars in aid for students and institutions. How did they use these funds? How well did their pandemic recovery activities and investments help reengage students? What will institutions do when the money runs…
Descriptors: Community Colleges, Federal Aid, COVID-19, Pandemics
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Seohyeon Choi; Kristen L. McMaster; Nidhi Kohli; Emma Shanahan; Seyma Birinci; Jechun An; McKinzie Duesenberg-Marshall; Erica S. Lembke – Grantee Submission, 2024
For students with intensive learning needs for whom standard, validated interventions do not effectively promote academic growth, data-based instruction (DBI) is suggested as an effective, fine-grained approach to individualization. Key to DBI's success is making instructional changes based on individual students' progress monitoring data. The…
Descriptors: Individualized Instruction, Writing Difficulties, Special Needs Students, Elementary School Students
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Seohyeon Choi; Kristen L. McMaster; Erica S. Lembke; Manjary Guha – Grantee Submission, 2024
Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…
Descriptors: Data Use, Writing Instruction, Knowledge Level, Elementary School Teachers
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Eli Ben-Michael; Lindsay Page; Luke Keele – Grantee Submission, 2024
In a clustered observational study, a treatment is assigned to groups and all units within the group are exposed to the treatment. We develop a new method for statistical adjustment in clustered observational studies using approximate balancing weights, a generalization of inverse propensity score weights that solve a convex optimization problem…
Descriptors: Research Design, Statistical Data, Multivariate Analysis, Observation
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Ting Ye; Ted Westling; Lindsay Page; Luke Keele – Grantee Submission, 2024
The clustered observational study (COS) design is the observational study counterpart to the clustered randomized trial. In a COS, a treatment is assigned to intact groups, and all units within the group are exposed to the treatment. However, the treatment is non-randomly assigned. COSs are common in both education and health services research. In…
Descriptors: Nonparametric Statistics, Identification, Causal Models, Multivariate Analysis
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Judy Paulick; Melissa Lucas; Tatiana Yasmeen Hill-Maini – Grantee Submission, 2024
Collaborative relationships between nondominant families and the teachers of elementary-aged children are complicated by teachers' lack of training for family engagement and by hierarchical and racialized power differentials. Home visiting can create a space for teachers to center and honor families' ways of knowing and being, but those home…
Descriptors: Home Visits, Interpersonal Relationship, Teacher Student Relationship, Family Involvement
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Andrea Negrete; Laura Ramirez-Arellano; Melissa Lucas; Noelle Hurd – Grantee Submission, 2024
Anti-immigration policies have been on the rise over the past four decades. The present study explored how anti-immigration policies and rhetoric impacted the psychological and material experiences of Latinx immigrant young adults across legal statuses. Furthermore, the present study examined the ways the COVID-19 pandemic was experienced by…
Descriptors: Young Adults, Immigrants, Immigration, Experience
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Philip Capin; Sharon Vaughn; Joseph E. Miller; Jeremy Miciak; Anna-Mari Fall; Greg Roberts; Eunsoo Cho; Amy E. Barth; Paul K. Steinle; Jack M. Fletcher – Grantee Submission, 2024
Purpose: This study investigated the reading profiles of middle school Spanish-speaking emergent bilinguals (EBs) with significantly below grade level reading comprehension and whether these profiles varied in their reading comprehension performance over time. Method: Latent profile analyses were used to classify Grade 6 and 7 Hispanic EBs (n =…
Descriptors: Profiles, Reading Comprehension, Reading Difficulties, Middle School Students
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Jessica E. Whittaker; Tara Hofkens; Virginia E. Vitiello; Robert C. Pianta; Jamie DeCoster; Arya Ansari – Grantee Submission, 2024
This study used a person-centered approach to identify school readiness profiles in a sample of kindergartners (n=1,826) from a large and diverse school district in the United States. Using latent profile analyses and multilevel modeling, we examined three aims: 1) whether patterns of readiness skills at kindergarten entry could be detected, 2)…
Descriptors: Kindergarten, Social Emotional Learning, School Readiness, Student Characteristics
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Kevin R. Binning; Danny Doucette; Beverly G. Conrique; Chandralekah Singh – Grantee Submission, 2024
Gender diversity signals inclusivity, but meta-analyses suggest that it does not boost individual or group performance. This research examined whether a social-psychological intervention can unlock the benefits of gender diversity on college physics students' social and academic outcomes. Analyses of 124 introductory physics classrooms at a large…
Descriptors: Sex, Student Diversity, Intervention, College Students
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Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
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Sarah Narvaiz; Qinyun Lin; Joshua M. Rosenberg; Kenneth A. Frank; Spiro J. Maroulis; Wei Wang; Ran Xu – Grantee Submission, 2024
Sensitivity analysis, a statistical method crucial for validating inferences across disciplines, quantifies the conditions that could alter conclusions (Razavi et al., 2021). One line of work is rooted in linear models and foregrounds the sensitivity of inferences to the strength of omitted variables (Cinelli & Hazlett, 2019; Frank, 2000). A…
Descriptors: Statistical Analysis, Computer Software, Robustness (Statistics), Statistical Inference
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