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Fujimoto, Ken A. – Educational and Psychological Measurement, 2019
Advancements in item response theory (IRT) have led to models for dual dependence, which control for cluster and method effects during a psychometric analysis. Currently, however, this class of models does not include one that controls for when the method effects stem from two method sources in which one source functions differently across the…
Descriptors: Bayesian Statistics, Item Response Theory, Psychometrics, Models
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Robertson, Rachel E.; Coy, Justin N. – TEACHING Exceptional Children, 2019
When student behavior problems persist despite effective classroom management and vary in intensity depending on factors outside of teacher control, teachers are often left feeling discouraged and ineffective (Clunies-Ross, Little, & Kienhuis, 2008). Teachers may know how to handle behavior problems associated with classroom-based antecedents…
Descriptors: Student Behavior, Behavior Problems, Environmental Influences, Intervention
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Mason, Rose A.; Schnitz, Alana. G.; Gerow, Stephanie; An, Zhe G.; Wills, Howard P. – Journal of Behavioral Education, 2019
The purpose of the present study was to assess the impact of coaching with performance feedback from teachers on accuracy of paraeducators' momentary time sampling (MTS) data of students' on-task behavior. Two lead teachers and three paraeducators participated in the study. The relation between coaching and accuracy of the data collection was…
Descriptors: Coaching (Performance), Accuracy, Data Collection, Paraprofessional School Personnel
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Croushore, Dean; Kazemi, Hossein S. – Journal of Economic Education, 2019
In this article, the authors illustrate the use of Bloomberg for analyzing topics in macroeconomics and monetary policy in economics and finance courses. The hands-on experience that students gain from such a course has many benefits, including deeper learning and clearer understanding of data. The authors describe goals and learning objectives,…
Descriptors: Economics Education, Macroeconomics, Financial Policy, Experiential Learning
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Klein, Carrie; Lester, Jaime; Rangwala, Huzefa; Johri, Aditya – Review of Higher Education, 2019
An instrumental case study was conducted at a large, public research university to understand the organizational barriers, incentives, and opportunities related to adoption of learning analytics tools by faculty members and professional advising staff. Data was culled from focus groups with six faculty and twenty-one advisors and from interview…
Descriptors: Higher Education, Decision Making, Leadership, Academic Advising
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Nahum-Shani, Inbal; Almirall, Daniel – National Center for Special Education Research, 2019
Education practice often requires teachers and other school personnel to adapt interventions over time in order to address between-student heterogeneity in response to intervention (e.g., what works for one student may not work for the other) or within-student heterogeneity (e.g., what works now may not work in the future for the same student). An…
Descriptors: Intervention, Media Adaptation, Instructional Design, Educational Research
Sadeghi, Marjan – ProQuest LLC, 2019
The asset portfolios of Higher Education Institutions (HEI) typically incorporate a highly diverse collection of buildings with various and often shared campus uses. These facilities are typically at different points in their operational lifecycle, have different characteristics, rehabilitation cost, maintenance costs, and mission criticality. In…
Descriptors: Colleges, School Buildings, Facilities Management, Information Management
Lin, Van-Kim – Early Childhood Data Collaborative, 2019
Integrating data across early childhood programs allows program staff and administrators, policymakers, and researchers to have a comprehensive picture of early childhood programs. While some states have taken significant steps to integrate data across many early childhood programs, home visiting data have seldom been included in these data…
Descriptors: Young Children, Home Visits, Information Management, Data Collection
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Ryu, Suna – International Association for Development of the Information Society, 2019
The present study explores how the visualization of an actor network enables researchers to understand mediating processes better by investigating relationships and effects among elements and entities other than human-actor accounts. In particular, the study presents how visualization may facilitate an understanding of the dynamics and structures…
Descriptors: Network Analysis, Data Analysis, Visualization, Educational Research
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Cooper, Harris, Ed.; Hedges, Larry V., Ed.; Valentine, Jeffrey C., Ed. – Russell Sage Foundation, 2019
Research synthesis is the practice of systematically distilling and integrating data from many studies in order to draw more reliable conclusions about a given research issue. When the first edition of "The Handbook of Research Synthesis and Meta-Analysis" was published in 1994, it quickly became the definitive reference for conducting…
Descriptors: Research Methodology, Synthesis, Meta Analysis, Data Analysis
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Kaiser, Justin T.; Herzberg, Tina S. – Journal of Visual Impairment & Blindness, 2021
Introduction: This study analyzed 39 data collection tools used by teachers of students with visual impairments when completing functional vision assessments (FVAs). Methods: In 2017, teachers of students with visual impairments submitted data collection tools used in the FVA process. These tools were then compared with the 23 FVA components…
Descriptors: Data Collection, Vision Tests, Visual Impairments, Visual Acuity
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Dahlawi, Saad; El Sharkawy, Mahmoud F. – International Journal of Sustainability in Higher Education, 2021
Purpose: Municipal solid waste (MSW) consists mainly of several recyclable materials such as paper and cardboard. Inside the educational institutes, especially universities, MSW is generated from several facilities including offices and cafeterias. Without an effective management program, solid waste can have detrimental impacts on the…
Descriptors: Universities, Municipalities, Sanitation, Recycling
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Kennedy-Clark, Shannon; Galstaun, Vilma; Reimann, Peter – Teachers and Teaching: Theory and Practice, 2021
In this paper, we put forward the OTTO Model as a means for developing data literacy in pre-service teacher education. The OTTO Model was developed using a combination of quantitative and qualitative data drawn from a three-year study investigating the nature and development of pre-service teachers' data literacy. The aim of the study was to…
Descriptors: Preservice Teachers, Teacher Effectiveness, Teacher Evaluation, Models
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Montoya, Amanda K.; Edwards, Michael C. – Educational and Psychological Measurement, 2021
Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the…
Descriptors: Goodness of Fit, Factor Analysis, Cutting Scores, Correlation
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Shatnawi, Raed; Althebyan, Qutaibah; Ghaleb, Baraq; Al-Maolegi, Mohammed – International Journal of Web-Based Learning and Teaching Technologies, 2021
Academic advising is a time-consuming activity that takes a considerable effort in guiding students to improve student performance. Traditional advising systems depend greatly on the effort of the advisor to find the best selection of courses to improve student performance in the next semester. There is a need to know the associations and patterns…
Descriptors: Academic Advising, Course Selection (Students), Educational Technology, Information Technology
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