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Mixed-effects design analysis for experimental phonetics
It is common practice in the statistical analysis of phonetic data to draw conclusions on the basis of statistical significance, often judged by the size of a p-value. While p-values reflect the probability of incorrectly concluding a null effect is real, they do not provide information about other types of error that are also important for interpreting statistical results. In particular, it is possible to fail to detect a true effect, to exaggerate the magnitude of an effect, or even todoi:10.31234/osf.io/y8xcf fatcat:3gxgbmjylnfyllpm5ptuaiqeke