This contribution gives a short overview over the mechanics of significance testing in inferential statistics, in particular linear models, and tries to put the discussion about the usefulness of p-values into a broader perspective of scientific practise. This discussion needs to be embedded into the larger debate about the credibility crises faced by empirical social science research. In particular, it seems of utmost importance to discuss what the profession as a whole, journals, publishers, as well as editors can do to encourage better research practise that generates reliable and useful empirical findings.
This contribution gives a short overview over the mechanics of significance testing in inferential statistics, in particular linear models, and tries to put the discussion about the usefulness of p-values into a broader perspective of scientific practise. This discussion needs to be embedded into the larger debate about the credibility crises faced by empirical social science research. In particular, it seems of utmost importance to discuss what the profession as a whole, journals, publishers, as well as editors can do to encourage better research practise that generates reliable and useful empirical findings.