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Standish, Cassandra M.; Lambert, Joseph M.; Copeland, Bailey A.; Bailey, Kathryn M.; Banerjee, Ipshita; Lamers, Mallory E. – Journal of Behavioral Education, 2023
Trial-based functional analysis (TBFA) is an accurate and ecologically valid assessment of challenging behavior. Further, there is evidence to suggest that individuals with minimal exposure to behavior analytic assessment methodology (e.g., parents, teachers) can quickly be trained to conduct TBFAs in naturalistic settings (e.g., schools, homes).…
Descriptors: Functional Behavioral Assessment, Behavior Problems, Evaluation Methods, Training
Colorado Department of Higher Education, 2023
Colorado has led the nation in supporting the success of all Coloradans, enacting bold policies, and continuing to build a Colorado for all. These efforts have all been informed by robust stakeholder engagement paired with data analysis. Various initiatives over the years have improved the state's ability to use data to inform these goals. With…
Descriptors: Data Analysis, Decision Making, Data Use, Career Pathways
Nongluk Weerasiri; Pinanta Chatwattana – Journal of Education and Learning, 2025
The community-based learning model via game simulation to promote community public health diagnosis skills, or CBL model via game simulation, is a research tool that was devised based on the concepts of public health diagnosis using the seven community tools (geo-social mapping, genogram, community organization chart, local health system,…
Descriptors: Public Health, Educational Games, Computer Simulation, Game Based Learning
Mariana Torres – ProQuest LLC, 2024
Retention, persistence, and academic achievement for first-generation students have become increasingly prevalent with increasing access to higher education. Beyond access, the most discernible challenge relates to their identity as a first-generation college student and the lack of mentorship from their parents in navigating the college…
Descriptors: First Generation College Students, Mentors, Educational Experience, Teacher Student Relationship
von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy M. – Grantee Submission, 2021
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
Zachary J. Hyder; Gresham D. Collom; J. Patrick Biddix – Texas Education Review, 2024
We utilize a difference-in-difference design to examine the effect of adopting a statewide promise program on the enrollment of community college students across socio-economic status. Limited by a small sample size for treated units, we find inferential evidence that the adoption of a state-wide, last-dollar promise program for community colleges…
Descriptors: Low Income Students, Unemployment, Public Colleges, Community Colleges
Jiang Li; Chen Zhu; Mark Goh – Research Evaluation, 2025
Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…
Descriptors: Foreign Countries, Research and Development, COVID-19, Pandemics
Virginia S. Lovison – Education Next, 2024
Since its founding 34 years ago, Teach For America has prepared nearly 70,000 recent college graduates and career-changers to teach in high-poverty schools across the United States. Unlike traditional teacher-preparation programs, it places "corps members" in short-staffed public schools after an intensive summer seminar, before they are…
Descriptors: Teacher Recruitment, Alternative Teacher Certification, Beginning Teachers, Disadvantaged
Meg Bates – Illinois Workforce and Education Research Collaborative, Discovery Partners Institute, 2024
As part of its evaluation of the Illinois State Board of Education's Preschool Development Birth through Five Planning Grant (PDG B-5), Illinois Workforce and Education Research Collaborative (IWERC) completed an overview and evaluation of strengths and weaknesses in the current early childhood data systems. To complete this review, IWERC examined…
Descriptors: State Boards of Education, Early Childhood Education, Preschool Education, Data Collection
Killion, Joellen; Sommers, William A.; Delehant, Ann – Solution Tree, 2022
Collaborative staff development in education is the vehicle to student success, and research shows that the closer professional learning is to daily practice, the more meaningful and impactful it will be. Written with deep respect for the work educators do in their classrooms each day, this practical resource illustrates the importance of…
Descriptors: Professional Development, Workplace Learning, Cooperation, Cooperative Learning
Houchins, David E.; Hitchcock, John H.; Conroy, Maureen A. – Behavioral Disorders, 2023
The use of singular methodologies has dominated emotional and behavioral disorder (EBD) intervention research, and by extension, the field has not deployed mixed-methods research (MMR). The purpose of this article is to provide an overview of MMR and demonstrate its utility for conducting EBD intervention research. The basic tenants and design…
Descriptors: Behavior Disorders, Emotional Disturbances, Mixed Methods Research, School Psychology
National College Attainment Network, 2021
Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…
Descriptors: College Programs, Success, Data Collection, Data Analysis
Stewart, Joshua; Joyce, Jeanette; Haines, Mckenzie; Yanoski, David; Gagnon, Douglas; Luke, Kyle; Rhoads, Christopher; Germeroth, Carrie – Regional Educational Laboratory Central, 2021
Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. The Program Evaluation Toolkit provides tools and resources to support individuals responsible for evaluating and monitoring local, state, or federal programs. The toolkit comprises eight modules that cover critical steps in program…
Descriptors: Program Evaluation, Program Effectiveness, State Programs, Federal Programs
Corey Rosso – ProQuest LLC, 2022
This study sought to better understand present-day relationships between institutional and programmatic characteristics and their impact on student outcomes at postsecondary career and technical schools. This is critical given: (a) the existence of a significant middle-skills gap impacting the U.S. economy; (b) a lack of research and guidance for…
Descriptors: Institutional Characteristics, Outcomes of Education, Academic Achievement, Vocational Education
Ositelu, Monique O.; Ogundana, Ewaoluwa; Palmer, Iris – New America, 2022
Since the existing literature on the impact of early alert systems (EAS) focuses on four-year institutions, we lack widespread understanding of EAS effectiveness for community college students. In addition, very few studies evaluate racial equity implications for EAS, which makes it challenging for community college leaders to translate results to…
Descriptors: Community Colleges, Two Year College Students, At Risk Students, Racism

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