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Aguilar, Marisela; Cooper, Abbie R.; St. Peter, Claire C. – Education and Treatment of Children, 2023
Monitoring the fidelity with which implementers implement behavioral procedures is important, but individuals tasked with monitoring fidelity may have received little training. As a result, their data may be affected by variations in implementers' performance, such as the frequency of fidelity errors. To determine the extent to which the frequency…
Descriptors: Fidelity, Data Collection, Accuracy, Behavior
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Kali Defever; Becky Reimer; Michael Trierweiler; Elise Comperchio – Field Methods, 2024
Estimating prescription medicine use is challenging due to recall bias associated with surveys and coverage bias in administrative data. This study assesses how making operational improvements and combining both survey and administrative data sources can increase data quality on filled prescriptions. We use data from the Medicare Current…
Descriptors: Drug Therapy, Health Insurance, Databases, Medicine
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Turner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E. – Research Synthesis Methods, 2023
Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide…
Descriptors: Quasiexperimental Design, Graphs, Accuracy, Computation
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Dubrow, Joshua K. – International Journal of Social Research Methodology, 2022
The COVID 19 pandemic illuminates the role data has in public policy-making, i.e. datafication of society, and the importance of exploring the local sources of data to reveal errors in what has assuredly been from the beginning an undercount of cases and deaths. I note four interrelated error sources. The first two are common to any quantitative…
Descriptors: Data Use, COVID-19, Pandemics, Data Collection
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Galeriu, Calin – Physics Teacher, 2022
The determination of the speed of sound in air is a classical experiment, usually performed with a resonance tube apparatus. The measured value can be checked against Eq. (1), which describes the temperature dependence of the speed of sound in dry air. A modern implementation of this speed of sound investigation uses an Arduino Uno microcontroller…
Descriptors: Acoustics, Physics, Measurement Equipment, Motion
Mojgan Rashtchi; SeyyedeFateme Ghazi Mir Saeed – Sage Research Methods Cases, 2023
The reason for conducting the present case study was the problems the researchers encountered during data collection for another research project (Primary Study) entitled "The effects of virtual versus traditional flipped classes on EFL learners' grammar knowledge, self-regulation, and autonomy." Two online questionnaires were…
Descriptors: Data Collection, Questionnaires, Barriers, Research Methodology
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Sriram Sampath – Higher Education for the Future, 2025
Artificial intelligence (AI) has been put forth as a technological innovation which can change the way in which healthcare will be delivered in the near future. AI developers plan to deploy tools that will aid diagnosis, improve therapy, minimize errors, increase safety, and optimize systems and bring down costs. In addition, a paradigmatic shift…
Descriptors: Artificial Intelligence, Health Services, Technological Advancement, Innovation
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Çibik, Naz Fulya; Boz-Yaman, Burçak – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
The purpose of this paper is to integrate mathematical modeling and ecology by presenting an activity involving an authentic environmental problem, which is called "Pine Processionary Caterpillars Invasion." Adopting Mathematical Modeling and Education for Climate Action (EfCA) approaches, it was aimed to encourage pre-service teachers…
Descriptors: Mathematical Models, Ecology, Climate, Problem Solving