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Prathiba Natesan Batley; Erica B. McClure; Brandy Brewer; Ateka A. Contractor; Nicholas John Batley; Larry Vernon Hedges; Stephanie Chin – Grantee Submission, 2023
N-of-1 trials, a special case of Single Case Experimental Designs (SCEDs), are prominent in clinical medical research and specifically psychiatry due to the growing significance of precision/personalized medicine. It is imperative that these clinical trials be conducted, and their data analyzed, using the highest standards to guard against threats…
Descriptors: Medical Research, Research Design, Data Analysis, Effect Size
Adam Rajcan; Edgar A. Burns – Australian Universities' Review, 2024
As part of a study investigating research productivity of sociology PhD students in Australia, an application to the federal government's Department of Education, Skills and Employment (DESE) aimed to establish a baseline count of completed sociology doctorates by university. It was anticipated that university totals might be different from PhD…
Descriptors: Foreign Countries, Sociology, Doctoral Students, Graduation Rate
Demir, Seda; Doguyurt, Mehmet Fatih – African Educational Research Journal, 2022
The purpose of this research was to compare the performances of the Fixed Effect Model (FEM) and the Random Effects Model (REM) in the meta-analysis studies conducted through 5, 10, 20 and 40 studies with an outlier and 4, 9, 19 and 39 studies without an outlier in terms of estimated common effect size, confidence interval coverage rate and…
Descriptors: Meta Analysis, Comparative Analysis, Research Reports, Effect Size
Khanal, Shristi Shakya; Prasad, P.W.C.; Alsadoon, Abeer; Maag, Angelika – Education and Information Technologies, 2020
The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendation systems. The latter are, generally, based on machine learning techniques and algorithms and…
Descriptors: Electronic Learning, Barriers, Online Courses, Accuracy