Most sample size calculations for independent or paired samples are performed based on power to detect an effect of a certain size, assuming there’s no effect. Instead, Cumming and Calin-Jageman recommend that readers plan studies to detect precise effects. The 95% confidence interval (CI) indicates precision about effects. Therefore, it is possible to plan studies to detect narrow 95% CIs
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For science to move forward, it is essential that key research findings be reproducible. However, current publication and career progression models do not value replication. It is almost guaranteed that a replication study will be published in a journal with a lower impact factor than the journal where the original study was published. As pointed out by McLoughlin & Drummond
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In a previous post we learned how to use matplotlib’s gridspec to make subplots of unequal size. gridspec is quite powerful, but can be a little complicated to use. This is especially true if you are coming to Python from Matlab. In the current post we learn how to make figures and subplots in a manner that will be more
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Scientifically Sound 