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Menglin Xu; Jessica Logan – Society for Research on Educational Effectiveness, 2021
Introduction: Planned missing designs are relatively new to the field of psychological and developmental research. These designs allow researchers to randomly assign participants to missing data conditions; participants are either randomly selected to receive or not receive particular measures or items during data collection (Little &…
Descriptors: Educational Research, Research Design, Data Collection, Longitudinal Studies
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Khim Raj Subedi – Online Submission, 2024
This study explores the complexities of qualitative fieldwork and unpacks the fieldwork dynamics drawing on critical reflections based on the experiences of interviewing primary level teachers in exploring their identities. I argue that qualitative fieldwork is not a one-shot, linear activity but a negotiated and relational task requiring a…
Descriptors: Qualitative Research, Data Collection, Field Studies, Doctoral Students
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Meng Qu – Education and Information Technologies, 2024
This paper introduces a Patron Counting and Analysis (PCA) system that leverages Wi-Fi-connection data to monitor space utilization and analyze visitor patterns in academic libraries. The PCA system offers real-time crowding information to the public and a comprehensive visitor analysis dashboard for library administrators. The system's…
Descriptors: Academic Libraries, Users (Information), Use Studies, Space Utilization
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Clery, Sue; Frye, Bobbie E. – New Directions for Community Colleges, 2018
This chapter identifies some of the challenges surrounding data collection and analysis regarding development students, including testing and identifying academic needs, placement determination, and measuring student outcomes.
Descriptors: Developmental Studies Programs, Data Collection, Data Analysis, Testing
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Cornman, Stephen Q.; Zhou, Lei; Ampadu, Osei; D'Antonio, Laura; Gromos, David; Wheeler, Stephen – National Center for Education Statistics, 2018
This report presents school-level finance data on expenditures by function from the School-Level Finance Survey (SLFS). The SLFS is an extension of two existing collections being conducted by the National Center for Education Statistics (NCES) in collaboration with the Census Bureau: the School District Finance Survey (F-33) and the state-level…
Descriptors: Educational Finance, Data Collection, Feasibility Studies, Elementary Secondary Education
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Boote, Stacy K.; Boote, David N. – Elementary School Journal, 2017
Students often struggle to interpret graphs correctly, despite emphasis on graphic literacy in U.S. education standards documents. The purpose of this study was to describe challenges sixth graders with varying levels of science and mathematics achievement encounter when transitioning from interpreting graphs having discrete independent variables…
Descriptors: Elementary School Mathematics, Elementary School Students, Middle School Students, Grade 6
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Wilson, Jahnette; Brower, Sam; Edgar, Teresa; Thompson, Amber; Culpepper, Shea – International Journal of Adult Education and Technology, 2020
Accountability and rigor in teacher education have been the focus of recent policy initiatives. Thus, data use practices have become increasingly critical to informing program improvement. Educational researchers have established self-study as a research methodology to intentionally be used by teacher educators to improve their practice. The…
Descriptors: Qualitative Research, Inquiry, Data Use, Teacher Education Programs
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Hung, Jeng-Fung; Tsai, Chun-Yen – Journal of Baltic Science Education, 2020
Previous studies on the effectiveness of virtual laboratories for learning have shown inconsistent results over the past decade. The purpose of this research was to explore the effects of a virtual laboratory and meta-cognitive scaffolding on students' data modeling competences. A quasi-experimental design was used. Three classes of eighth graders…
Descriptors: Metacognition, Computer Simulation, Comparative Analysis, Science Laboratories
Lin, Van-Kim; Crowne, Sarah – Early Childhood Data Collaborative, 2020
Home visiting programs typically collect sensitive information about family characteristics, risk factors, and services received. States may choose to integrate these data with other early childhood data to learn more about the reach and effectiveness of the services and supports that families receive. As more states begin to integrate data across…
Descriptors: Home Visits, Privacy, Information Security, Data Collection
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Altinay, Fahriye, Ed. – IntechOpen, 2020
This book has three sections on the role of technology in education. The first section covers the merits of online learning and environment. The second section of the book gives insight on new technologies in learning and teaching. The third section of the book underlines the importance of new tendencies for the technology in education. There is a…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Electronic Learning
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Felderer, Barbara; Blom, Annelies G. – Sociological Methods & Research, 2022
The ease at which online paradata can be captured in web surveys seems to increase social researchers' desire to collect such data. Yet little attention is paid to whether respondents actually approve of their collection. This article, therefore, studies online survey respondents' acceptance of automatically collecting their geographical…
Descriptors: Data Collection, Online Surveys, Geographic Location, Individual Characteristics
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Premaraja, Ruwan P. – International Journal of Learning and Change, 2022
This study focuses on the experimental design concept to test the association between academic achievement and sports participation of secondary students. This association was tested using qualitative and quantitative data analysis through a case study. Findings displayed a similarity with the conceptual model by Fejgin (1994), with three…
Descriptors: Data Collection, Student Participation, Athletics, Academic Achievement
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Tong, Stephanie Tom – Communication Teacher, 2022
Courses: Research methods for undergraduates or graduates. Objectives: The aims of this activity are: (1) to clarify the basics of experimental design; (2) to illustrate the concept of levels of measurement; (3) to demonstrate in-person/hands-on data collection procedures; (4) to understand and practice the steps in null hypothesis testing; and…
Descriptors: Experiential Learning, Research Design, Courses, Research Methodology
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Reniers, Jennifer; Mathany, Clarke; Farkas, Megan; Pollock, Heather; Husband, Brian C. – Canadian Journal for the Scholarship of Teaching and Learning, 2022
Curriculum mapping is the process of creating a visual representation of the teaching and assessment of learning outcomes in a degree, program or major. Best practice recommendations about curriculum mapping typically focus on mapping individual programs. Therefore, many recommendations, such as meeting individually with faculty as they map their…
Descriptors: Curriculum Development, Concept Mapping, Higher Education, Majors (Students)
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An, Lily Shiao; Ho, Andrew Dean; Davis, Laurie Laughlin – Educational Measurement: Issues and Practice, 2022
Technical documentation for educational tests focuses primarily on properties of individual scores at single points in time. Reliability, standard errors of measurement, item parameter estimates, fit statistics, and linking constants are standard technical features that external stakeholders use to evaluate items and individual scale scores.…
Descriptors: Documentation, Scores, Evaluation Methods, Longitudinal Studies
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