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Despite frequent calls for the overhaul of null hypothesis significancetesting (NHST), this controversial procedure remains ubiquitous in behavioral,social and biomedical teaching and research. Little change seems possible oncethe procedure becomes well ingrained in the minds and current practice ofresearchers; thus, the optimal opportunity for such change is at the time theprocedure is taught, be this at undergraduate or at postgraduate levels. Thispaper presents a tutorial for the teaching of data testing procedures, oftenreferred to as hypothesis testing theories. The first procedure introduced isthe approach to data testing followed by Fisher (tests of significance); thesecond is the approach followed by Neyman and Pearson (tests of acceptance);the final procedure is the incongruent combination of the previous two theoriesinto the current approach (NSHT). For those researchers sticking with thelatter, two compromise solutions on how to improve NHST conclude the tutorial.

Fisher, Neyman-Pearson or NHST? A Tutorial for Teaching Data Testing