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Campbell, Rebecca; Goodman-Williams, Rachael; Feeney, Hannah; Fehler-Cabral, Giannina – American Journal of Evaluation, 2020
The purpose of this study was to develop triangulation coding methods for a large-scale action research and evaluation project and to examine how practitioners and policy makers interpreted both convergent and divergent data. We created a color-coded system that evaluated the extent of triangulation across methodologies (qualitative and…
Descriptors: Mixed Methods Research, Action Research, Data Interpretation, Coding
de Alteriis, Martin – American Journal of Evaluation, 2020
This article examines factors that could have influenced whether evaluations of U.S. government--funded foreign assistance programs completed in 2015 had considered unintended consequences. Logit regression models indicate that the odds of considering unintended consequences were increased when all or most of seven standard data collection methods…
Descriptors: Federal Programs, International Programs, Program Evaluation, Influences
Daugherty, Lindsay – Grantee Submission, 2020
"Stackable credential programs" are designed to make it easier for students to earn multiple postsecondary certificates or degrees in a field as they advance in their careers. To examine the stacking of credentials in Ohio and inform ongoing efforts to scale stackable credential programs, the Ohio Department of Higher Education and the…
Descriptors: Data Use, Educational Improvement, Postsecondary Education, Credentials
White, Jamison – National Alliance for Public Charter Schools, 2020
Everyone knows what a school is, but the question of what constitutes an individual school is more complex than one would expect. Since not all individual records that appear in state or federal data files are schools, this creates a persistent challenge for educational researchers. In order to ensure that we have an accurate accounting of charter…
Descriptors: Charter Schools, Educational Research, Research Problems, Data Collection
Goldhaber, Dan; Grout, Cyrus; Wolf, Malcom; Martinkova, Patricia – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
There is growing interest in using measures of teacher applicant quality to improve hiring decisions, but the statistical properties of such measures are poorly understood. We present evidence on structured ratings solicited from teacher applicants' references. We find that the reference ratings capture only one underlying dimension of applicant…
Descriptors: Job Applicants, Teacher Selection, Interrater Reliability, Decision Making
Naian Yin – ProQuest LLC, 2020
Online networks, as digital images reflecting every aspects of real world especially under the current context of information technology, have become the most massive and opulent data source these days, where vast amount of information keeps being produced and transmitted. Their rapid expansion in scale and data volume draws wide attention and…
Descriptors: Sampling, Networks, Topology, Computer Mediated Communication
Quin-Anne Hinrichs; Chelsea R. Johnston; Laura Feuerborn; Ashli Tyre – Beyond Behavior, 2025
Implementation of a culturally responsive positive behavioral interventions and supports (PBIS) framework is associated with positive outcomes for secondary students when implemented schoolwide. Yet, educators often report more implementation challenges in secondary school as compared to elementary school settings. Difficulties obtaining student…
Descriptors: Behavior Modification, Positive Behavior Supports, Student Behavior, Behavior Problems
Kipton D. Smilie – Paedagogica Historica: International Journal of the History of Education, 2025
In the 1930s schooling in the United States underwent fundamental transformations, ultimately responding to the profound social, economic, and technological changes taking place in the early decades of the twentieth century. Students' social and emotional health needed support, especially for entry into a rapidly changing nation and world. One…
Descriptors: Educational History, Professional Autonomy, Data Collection, Student Characteristics
Ozair H. Naqvi; Aaron M. Wendelboe; Laurence Burnsed; Mike Mannell; Amanda Janitz; Stephanie Natt – Journal of School Nursing, 2025
Recent trends in vaccine hesitancy have brought to light the importance of using accurate school vaccination data. This study evaluated the accuracy of a pilot statewide kindergarten vaccination survey in Oklahoma. School vaccination and exemption data were collected from November 2017 to April 2018 via the Research Electronic Data Capture system.…
Descriptors: State Surveys, Immunization Programs, Accuracy, Data Collection
Provasnik, Stephen – Large-scale Assessments in Education, 2021
This paper presents the concepts and observations in the author's keynote address at the May 2019 "Opportunity versus Challenge: Exploring Usage of Log-File and Process Data in International Large-Scale Assessments" conference in Dublin, Ireland. This paper recaps briefly some key points that emerged at the December 2018 ETS symposium on…
Descriptors: Data Collection, Cognitive Processes, Ethics, Student Evaluation
Ward, Alessandra E.; Erickson, Joy Dangora – Reading Teacher, 2021
The authors present a plan for classroom teachers and literacy professionals to conduct case studies, particularly of students' reading motivations and engagement. The authors argue for case study as a way for practitioners to contribute important knowledge to the field that is grounded in practitioners' deep, contextual understanding of the…
Descriptors: Case Studies, Reading Motivation, Reading Habits, Inquiry
Mohammed, Abdul Hanan Khan; Jebamikyous, Hrag-Harout; Nawara, Dina; Kashef, Rasha – Journal of Computing in Higher Education, 2021
Data Analytics has become an essential part of the Internet of Things (IoT), mainly text analytics-related applications, since they can be utilized to benefit educational institutions, consumers, and enterprises. Text Analytics is excessively used in Smart Education after the emerging technologies such as personal computers, tablets, and even…
Descriptors: Internet, Equipment, Data Analysis, Electronic Learning
Sroka, Matthew J. – Impacting Education: Journal on Transforming Professional Practice, 2021
This essay describes my personal experience as a doctoral candidate collecting data for my dissertation during the COVID-19 pandemic. After providing the context for my own study, I lay out three main ideas that emerged while collecting data. These main ideas involve including participants in the decision-making process, sharing one another's…
Descriptors: Data Collection, Doctoral Dissertations, COVID-19, Pandemics
Stark, Brielle C.; Clough, Sharice – Journal of Speech, Language, and Hearing Research, 2021
Purpose: When we speak, we gesture, and indeed, persons with aphasia gesture more frequently. The reason(s) for this is still being investigated, spurring an increase in the number of studies of gesture in persons with aphasia. As the number of studies increases, so too does the need for a shared set of best practices for gesture research in…
Descriptors: Aphasia, Nonverbal Communication, Research Methodology, Research Design
Mouri, Kousuke; Suzuki, Fumiya; Shimada, Atsushi; Uosaki, Noriko; Yin, Chengjiu; Kaneko, Keiichi; Ogata, Hiroaki – Interactive Learning Environments, 2021
This paper describes a method to collect data of which section of pages learners were browsing in digital textbooks without eye-tracking technologies. In previous researches on digital textbook systems, it was difficult to collect such data without using eye-tackers. However, eye-trackers cost a massive budget. Our proposed system automatically…
Descriptors: Data Analysis, Textbooks, Electronic Publishing, Data Collection