Category: significance testing

Why the ban on P-Values? Understanding sampling error is key to improving the quality of research.

The weight placed on p-values and significance testing has come under increasing criticism, with one social psychology journal banning their use entirely. Nicole Radziwill argues that many of the issues come down to sampling errors. Inferential statistics is good because it lets us make decisions about a whole population based on one sample. But inferential statistics is bad if your sample size is too […]