Quite often, significance testing appears like a sort of gambling. And we may have become somewhat addicted to this game—it is satisfying to feed data into the machine and find out whether the right variables have turned significant. https://t.co/tk6oWZqA4T
Whenever we use effect sizes, confidence intervals, AIC, posteriors, Bayes factors, likelihood ratios, or false discovery rates in decision heuristics for interpreting selected results, we create biases and invalidate the answers we give to our questions. https://t.co/PvNvK2WOu2