Publication Date
In 2025 | 16 |
Descriptor
Source
Author
Jennifer McCombs | 2 |
Julie Fitz | 2 |
Julie Woods | 2 |
Naomi Duran | 2 |
Daniel M. Maggin | 1 |
Gregory Chernov | 1 |
Irina Bauer | 1 |
Jennifer E. Scholla | 1 |
Julian Schuessler | 1 |
K. Kawena Begay | 1 |
Kary Zarate | 1 |
More ▼ |
Publication Type
Journal Articles | 13 |
Reports - Research | 8 |
Reports - Descriptive | 7 |
Numerical/Quantitative Data | 1 |
Reports - Evaluative | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 2 | 1 |
Grade 3 | 1 |
Primary Education | 1 |
Audience
Administrators | 1 |
Policymakers | 1 |
Teachers | 1 |
Location
Georgia | 2 |
Germany | 2 |
Louisiana | 2 |
Massachusetts | 2 |
Michigan | 2 |
New Mexico | 2 |
Oregon | 2 |
Tennessee | 2 |
Texas | 2 |
Vermont | 2 |
East Germany | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Katie Young; Kath Browne – International Journal of Social Research Methodology, 2025
This article considers the multiple relations that emerge from and between Facebook commenters, as well as between commenters, researchers, and the research project during recruitment. To do so, we draw on our experiences of recruiting individuals who have concerns about or are opposed to a range of recent social and legal changes in…
Descriptors: Social Media, Research Methodology, Data Collection, Recruitment
Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
Julian Schuessler; Peter Selb – Sociological Methods & Research, 2025
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of…
Descriptors: Data Collection, Graphs, Error of Measurement, Statistical Bias
Sarah Wallace; Mark Llewellyn – International Journal of Social Research Methodology, 2025
The use of social media platforms as a means of data collection for researchers is increasing. With the number of active users of Facebook across the globe exceeding two billion, the platform offers a means to reach and hear from diverse populations and gather information-rich data. Despite an increase of researchers utilising Facebook and…
Descriptors: Social Media, Research Methodology, Evaluation, Computer Mediated Communication
Robin Samuelsson – Journal of Mixed Methods Research, 2025
Video has become a widespread tool for capturing naturalistic behavioral data. While mixed methods show great potential in understanding the active nature of children's interaction, only a few studies have developed mixed methods for video-based interaction research. This paper presents a mixed methods embodied interaction model appropriate for…
Descriptors: Video Technology, Data Collection, Child Behavior, Interaction
Julie Fitz; Julie Woods; Naomi Duran; Jennifer McCombs – Learning Policy Institute, 2025
Student participation in summer programming can be an effective way to address students' academic and developmental needs. When well implemented and well attended, summer enrichment programs, academic programs, and employment programs have demonstrated positive outcomes for youth in areas related to program content, including academic achievement…
Descriptors: Summer Programs, Educational Opportunities, Educational Quality, Regional Characteristics
Julie Fitz; Julie Woods; Naomi Duran; Jennifer McCombs – Learning Policy Institute, 2025
As federal funding for summer learning as a pandemic recovery strategy phases out, state governments face decisions about their future role in supporting students' access to quality summer learning opportunities. This brief is based on the full report, "How States Are Expanding Quality Summer Learning Opportunities," and summarizes…
Descriptors: Summer Programs, Educational Opportunities, Educational Quality, Regional Characteristics
Irina Bauer; Tanja Kunz; Tobias Gummer – International Journal of Social Research Methodology, 2025
In web surveys, no interviewer is present to clarify question comprehension problems, which can be particularly prevalent among respondents with low literacy skills. Although plain language is used in various contexts to improve text comprehensibility, its use in social science questionnaires has not been investigated to date. Using a…
Descriptors: Foreign Countries, Online Surveys, Data Collection, Questionnaires
Seda Sakar; Sema Tan – Gifted Child Quarterly, 2025
Many articles have been published in gifted education in recent years. This study aims to provide a comprehensive review of the evolution of academic studies in gifted education. In this context, the structural topic modeling (STM) method was used to analyze the topics and trends in the field. STM is a machine learning technique that utilizes…
Descriptors: Gifted Education, Educational Trends, Educational Research, Research Methodology
Kary Zarate; Veronica Kang; Daniel M. Maggin – Preventing School Failure, 2025
Many of the decisions made related to student progress and intervention selection rely on data. In their roles, paraeducators often implement academic interventions; therefore, they must be prepared to monitor students' progress accurately and reliably. This pilot randomized control trial tested the effects of a remote training package on…
Descriptors: Paraprofessional School Personnel, Training, Data Collection, Reading Fluency
Melissa A. Gallagher; Jennifer E. Scholla – Mathematics Teacher: Learning and Teaching PK-12, 2025
Adaptive teachers use student data to guide instruction. Learn about using an anecdotal record form to support adaptive teaching. In this article, the authors describe how teachers can use learning trajectories to make adaptive decisions to meet the needs of their students. They provide an example using the U .S. Math Recovery Council's learning…
Descriptors: Mathematics Instruction, Learning Trajectories, Developmentally Appropriate Practices, Student Needs
Patricia Hadler – Sociological Methods & Research, 2025
Probes are follow-ups to survey questions used to gain insights on respondents' understanding of and responses to these questions. They are usually administered as open-ended questions, primarily in the context of questionnaire pretesting. Due to the decreased cost of data collection for open-ended questions in web surveys, researchers have argued…
Descriptors: Online Surveys, Discovery Processes, Test Items, Data Collection
Office for Civil Rights, US Department of Education, 2025
The 2021-22 Civil Rights Data Collection (CRDC) is a mandatory survey of all public school districts and schools serving students in preschool through grade 12 in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico and therefore includes data from 17,704 public school districts also known as local education agencies (LEAs) and…
Descriptors: Public Schools, School Districts, Data Collection, Access to Education
Miranda Kucera; K. Kawena Begay – Communique, 2025
While the field advocates for a diversified and comprehensive professional role (National Association of School Psychologists, 2020), school psychologists have long spent most of their time in assessment-related activities (Farmer et al., 2021), averaging about eight cognitive evaluations monthly (Benson et al., 2020). Assessment practices have…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
Steven Glazerman; Larissa Campuzano; Nancy Murray – Evaluation Review, 2025
Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…
Descriptors: Educational Experiments, Foreign Countries, Educational Assessment, Research Design
Previous Page | Next Page ยป
Pages: 1 | 2