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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
McGuire, Michael Patrick – ProQuest LLC, 2010
Spatial or temporal data mining tasks are performed in the context of the relevant space, defined by a spatial neighborhood, and the relevant time period, defined by a specific time interval. Furthermore, when mining large spatio-temporal datasets, interesting patterns typically emerge where the dataset is most dynamic. This dissertation is…
Descriptors: Intervals, Research Methodology, Hypothesis Testing, Statistical Significance
Peer reviewedBoehnke, Klaus – Educational and Psychological Measurement, 1984
The effects of some restraints not included in the classical assumptions of the F- and H-Test (e.g., correlation of mean and sample size) were examined in a simulation design. Also simulated was a situation in which two assumptions were not met simultaneously. (Author/BW)
Descriptors: Analysis of Variance, Computer Simulation, Hypothesis Testing, Research Methodology
Peer reviewedZimmerman, Donald W.; And Others – Journal of Experimental Education, 1992
D. W. Zimmerman argues that the interpretation by J. D. Gibbons and S. Chakraborti of recent simulation results and their recommendations are misleading and suggests use of an alternate test when homogeneity of variance and normality are violated. Gibbons and Chakraborti review their differences with Zimmerman's position. (SLD)
Descriptors: Computer Simulation, Research Methodology, Research Reports, Sample Size

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