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Leyla Marandi; Eleanor Haworth; Vikram Koundinya; Katherine Webb-Martinez; Kit Alviz – Journal of Extension, 2024
During the COVID-19 pandemic, organizations increased virtual programming and adoption of online technologies. This article outlines the University of California assessment of tools for gathering data on participant learning outcomes from virtual educational programs. After assessing colleagues' experiences and searching for new web applications,…
Descriptors: Educational Technology, Online Courses, Data Collection, Information Storage
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John J. Siegfried – Journal of Economic Education, 2024
Undergraduate economics degrees awarded by U.S. colleges and universities increased almost 12 percent from 2013 through 2015, then stabilized at a little above the 2015 level until 2018, after which they began an accelerating decline over the past five years to end back at a little below 2015 levels.
Descriptors: Undergraduate Study, Bachelors Degrees, Economics Education, Statistical Data
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Shaun Bhatia; Leonard A. Jason – Journal of Disability Policy Studies, 2024
There have been numerous iterations of naming convention specified for myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS). As health care turns to "big data" analytics to gain insights, the Google Trends database was mined to ascertain worldwide trends of public interest in several ME- and CFS-related search categories…
Descriptors: Data Analysis, Chronic Illness, Search Strategies, Information Retrieval
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Kathleen Lynne Lane; Nathan Allen Lane; Mark Matthew Buckman; Katie Scarlett Lane Pelton; Kandace Fleming; Rebecca E. Swinburne Romine – Behavioral Disorders, 2025
We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…
Descriptors: Data Analysis, Decision Making, Data Use, Test Validity
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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
Bryant, Matt – Association for Institutional Research, 2021
Survey methodology is the dominant approach among universities in the United States for reporting employment outcomes for recent graduates. However, past studies have shown that survey methodology may yield upwardly biased results, which can result in overreporting of employment rates and salary outcomes. This case study describes the development…
Descriptors: Data Collection, Data Use, Labor Force, Institutional Research
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Rubin, Andee – Teaching Statistics: An International Journal for Teachers, 2021
The data sets used in statistics education have changed over time, from mathematically "well-behaved" ones that facilitated computation, to more context-rich sources and now, with the increasing influence of data science practices, to "found" data, often from open data sites. As data sources change, it is important for…
Descriptors: Statistics Education, Data, Teaching Methods, Data Collection
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Usova, Tatiana; Laws, Robert – Journal of Information Literacy, 2021
Data literacy skills are becoming critical in today's world as the quantity of data grows exponentially and becomes the 'currency' of power. In spring 2020, a team of two librarians piloted a new one-credit course in data literacy and data visualisation. This report explains the rationale behind the project and discusses the place of data literacy…
Descriptors: College Credits, Information Literacy, Data, Visualization
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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
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Iqbal AlShammari; Munirah AlAjmi – Asia-Pacific Education Researcher, 2025
Data- driven decision making DDDM in school settings is often guided and influenced by various sources of data that assist in improving students' outcomes. School principals as the main educational leaders, play a pivotal role in DDDM using the available school data. Semi-structured interviews with 24 school principals were conducted to…
Descriptors: Data Use, Decision Making, Principals, Administrator Role
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Axel Langner; Lea Sophie Hain; Nicole Graulich – Journal of Chemical Education, 2025
Often, eye-tracking researchers define areas of interest (AOIs) to analyze eye-tracking data. Although AOIs can be defined with systematic methods, researchers in organic chemistry education eye-tracking research often define them manually, as the semantic composition of the stimulus must be considered. Still, defining appropriate AOIs during data…
Descriptors: Organic Chemistry, Science Education, Eye Movements, Educational Research
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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
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Wendy Pothier; Patricia Condon – portal: Libraries and the Academy, 2025
Recent discourse and research in academic and business settings emphasize the growing importance of improving data and information literacy in both settings. This exploratory study examines the relevance of a set of proposed baseline business data literacy competencies for the workplace, developed by librarians for undergraduates. The authors…
Descriptors: Information Literacy, Data, Skill Development, Business Skills
Office for Civil Rights, US Department of Education, 2025
The U.S. Department of Education's (ED) Office for Civil Rights (OCR) administers the Civil Rights Data Collection (CRDC), which is a mandatory survey of all public schools and school districts in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico. To support school districts' timely submission of accurate data, OCR takes steps…
Descriptors: Civil Rights, Data Collection, School Surveys, Public Schools
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Lizet Van Ewijk; Katerina Hilari; Analisa Pais; Anna Volkmer – International Journal of Language & Communication Disorders, 2025
Background: Content validity is a key measurement property that should be considered when selecting or reviewing a patient-reported outcome measure (PROM). In the field of communication disorders, there are several PROMs available, most of which are disease specific. It is unknown what the quality of the content validity of these PROMs is. Aims:…
Descriptors: Communication Disorders, Patients, Outcome Measures, Adults
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