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Taber, Keith S. – Chemistry Education Research and Practice, 2020
This comment discusses some issues about the use and reporting of experimental studies in education, illustrated by a recently published study that claimed (i) that an educational innovation was effective despite outcomes not reaching statistical significance, and (ii) that this refuted the findings of an earlier study. The two key issues raised…
Descriptors: Chemistry, Educational Innovation, Statistical Significance, Statistical Inference
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Nussli, Natalie; Oh, Kevin; McCandless, Kevin – Journal of Educational Multimedia and Hypermedia, 2014
The purpose of this mixed methods study was to help pre-service teachers experience and evaluate the potential of Second Life, a three-dimensional immersive virtual environment, for potential integration into their future teaching. By completing collaborative assignments in Second Life, nineteen pre-service general education teachers explored an…
Descriptors: Preservice Teachers, Cooperative Learning, Science Education, Electronic Learning
Barnette, J. Jackson; McLean, James E. – 2000
The probabilities of attaining varying magnitudes of standardized effect sizes by chance and when protected by a 0.05 level statistical test were studied. Monte Carlo procedures were used to generate standardized effect sizes in a one-way analysis of variance situation with 2 through 5, 6, 8, and 10 groups with selected sample sizes from 5 to 500.…
Descriptors: Computer Simulation, Effect Size, Monte Carlo Methods, Probability
Martell, Richard F.; And Others – 1992
Relying on estimates of variance explained to assess the practical significance of research findings is now common practice. It is suggested that such estimates can offer an inaccurate picture, often underestimating the practical significance of statistically small effects. As an example, research on employment discrimination indicates that in…
Descriptors: Computer Simulation, Decision Making, Effect Size, Employed Women