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Direct linkEllison, George T. H. – Journal of Statistics and Data Science Education, 2021
Temporality-driven covariate classification had limited impact on: the specification of directed acyclic graphs (DAGs) by 85 novice analysts (medical undergraduates); or the risk of bias in DAG-informed multivariable models designed to generate causal inference from observational data. Only 71 students (83.5%) managed to complete the…
Descriptors: Statistics Education, Medical Education, Undergraduate Students, Graphs
Longford, Nicholas Tibor – Journal of Educational and Behavioral Statistics, 2016
We address the problem of selecting the best of a set of units based on a criterion variable, when its value is recorded for every unit subject to estimation, measurement, or another source of error. The solution is constructed in a decision-theoretical framework, incorporating the consequences (ramifications) of the various kinds of error that…
Descriptors: Decision Making, Classification, Guidelines, Undergraduate Students
Ayene, Mengesha; Kriek, Jeanne; Damtie, Baylie – Physical Review Special Topics - Physics Education Research, 2011
Quantum mechanics is often thought to be a difficult subject to understand, not only in the complexity of its mathematics but also in its conceptual foundation. In this paper we emphasize students' depictions of the uncertainty principle and wave-particle duality of quantum events, phenomena that could serve as a foundation in building an…
Descriptors: Quantum Mechanics, Physics, Measurement, Error of Measurement
