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Cox, Shawna; Gilary, Aaron; Simon, Dillon; Thomas, Teresa – National Center for Education Statistics, 2022
The National Center for Education Statistics (NCES) sponsors the National Teacher and Principal Survey (NTPS) on behalf of the U.S. Department of Education in order to collect data on public and private elementary and secondary schools in the United States. The NTPS is a large-scale, nationally representative sample survey of K-12 public and…
Descriptors: Teachers, Principals, Elementary Secondary Education, Administrators
Washick, Bonnie; Ridings, Aaron; Juste, Tessa – Gay, Lesbian and Straight Education Network (GLSEN), 2022
Collecting data on lesbian, gay, bisexual, transgender, queer-plus (LGBTQ+) issues and the experiences of LGBTQ+ young people is essential both for enforcing civil rights protections and advancing racial, gender, and disability justice outcomes in K-12 education systems across the country. The absence of this data: (1) Is a barrier to full…
Descriptors: Elementary Secondary Education, Students, Kindergarten, Young Children
Ali, Arisara; Pa-alisbo, Mark Anthony C. – Education Quarterly Reviews, 2021
This institutional survey research was used to improve administrative policies at International Montessori Center (IMC), a private international kindergarten in Bangkok, Thailand. The main goal of the study was to gather input from school stakeholders regarding daily conditions and functions, with the ultimate goal of improved administrative…
Descriptors: Data Use, Educational Administration, School Policy, Montessori Method
Shen, Ting; Konstantopoulos, Spyros – Journal of Experimental Education, 2022
Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…
Descriptors: Data Collection, Educational Research, Hierarchical Linear Modeling, Bayesian Statistics
Julia L. Ferguson; Amanda M. Rogue; Tracey D. Terhune; Christine M. Milne; Joseph H. Cihon; Maddison J. Majeski-Gerken; Justin B. Leaf; John McEachin; Ronald Leaf – Exceptionality, 2024
This study aimed to extend previous literature comparing continuous methods of data collection to estimation data, but this time implementing the data collection procedures within a group discrete trial teaching format with three individuals diagnosed with autism spectrum disorder. Group discrete trial teaching was conducted in a classroom setting…
Descriptors: Autism Spectrum Disorders, Kindergarten, Elementary School Students, Elementary School Teachers
MacGregor, Stephen W.; Cooper, Amanda – AERA Online Paper Repository, 2022
We interrogate the opportunities and challenges of using mixed methods (MM) within a developmental evaluation (DE) context by drawing on two illustrative cases that investigated educational change in Canada. Methods: Multi-case design and cross-case analysis, with a focus on examining common patterns across the two cases, enabling new ways of…
Descriptors: Mixed Methods Research, Evaluation Methods, Barriers, Educational Change
Perez, Zeke, Jr.; von Zastrow, Claus – Education Commission of the States, 2023
Data governance is a core obligation for leaders and staff across any agency that collects, stores or uses individuals' data. It ensures that individuals' personal information is protected, and can support the continuous improvement of data quality and use, particularly when it includes well-defined processes, structure and responsibilities.…
Descriptors: Governance, Data Use, Privacy, Information Management
Ackerman, Debra J. – Early Education and Development, 2020
Two consequentially related education policy topics in the United States are kindergarten entry assessments (KEAs) and the growing number of students who are "English learners" (ELs). In this study, I compared the content of, and home language use policies for six state KEAs, all of which were comprised of items from the GOLD®…
Descriptors: Kindergarten, Young Children, English Language Learners, School Readiness
Egan, Cate A.; Merica, Christopher B.; Paul, David R.; Bond, Laura; Rose, Seth; Martin, Andrew; Vella, Chantal – Health Education Journal, 2023
Objectives: In the USA, 18% of school-aged young people are classified as obese, and rural populations appear to be particularly at risk. Achieving high levels of fitness reduces the risk of obesity and underlying health conditions. To better understand youth obesity trends and fitness levels, annual fitness testing ([FT], that is, surveillance)…
Descriptors: Physical Fitness, Health Behavior, Teacher Attitudes, Distance Education
Punjabi, Maitri; Norman, Julianne; Edwards, Lauren; Muyingo, Peter – RTI International, 2021
School-related gender-based violence (SRGBV) remains difficult to measure because of high sensitivity and response bias. However, most SRGBV measurement relies on face-to-face (FTF) survey administration, which is susceptible to increased social desirability bias. Widely used in research on sensitive topics, Audio Computer-Assisted Self-Interview…
Descriptors: Foreign Countries, Gender Bias, Equal Education, Elementary School Students
Perry, Lindsey – AERA Online Paper Repository, 2017
Before an assessment is used to make decisions, the validity of the intended interpretation must be evaluated. The purpose of this paper is to describe how the argument-based approach and an interpretation/use argument (IUA) (Kane, 2013) were used to validate the interpretations made from the new Early Grade Mathematics Assessment (EGMA)…
Descriptors: Student Evaluation, Mathematics Tests, Test Interpretation, Inferences
Yang, Dandan; Zargar, Elham; Adams, Ashley Marie; Day, Stephanie L.; Connor, Carol McDonald – Assessment for Effective Intervention, 2021
Stealth assessment has been successfully embedded in educational games to measure students' learning in an unobtrusive and supportive way. This study explored the possibility of applying stealth assessment in a digital reading platform and sought to identify potential in-system indicators of students' digital learning outcomes. Utilizing the user…
Descriptors: Electronic Publishing, Books, Computer Assisted Instruction, Reading Processes
Christopoulos, Athanasios; Kajasilta, Henri; Salakoski, Tapio; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2020
The vast development and expansion of educational technology has led to the deconstruction of various barriers and challenges that the traditional approaches were incapable of overcoming. However, a field that still holds a great deal of interest and needs to be strengthened concerns the practices that surround mathematics education. Digital…
Descriptors: Elementary School Mathematics, Mathematics Instruction, Educational Technology, Technology Uses in Education
Deshais, Meghan A.; Fisher, Alyssa B.; Kahng, SungWoo – Education and Treatment of Children, 2018
We conducted a preliminary investigation of a randomized dependent group contingency to decrease disruptive behavior during hallway transitions. Two first-graders, identified by their classroom teacher, participated in this study. A multiple baseline across transitions was used to evaluate the effects of the randomized dependent group contingency…
Descriptors: Student Behavior, Behavior Problems, Discipline Problems, Prevention
Ennis, Robin Parks; Lane, Kathleen Lynne; Flemming, Sarah Cole – Exceptionality, 2021
Teachers may benefit from using classroom-delivered, low-intensity strategies to increase engagement of students at-risk for emotional and behavioral disorders and academic failure in the general education classroom. This project focused on empowering teachers to be involved in every step of the research process: screening, planning, data…
Descriptors: Classroom Techniques, Learner Engagement, Student Behavior, At Risk Students