Abstract
There is a long history of discussion about the ability of researchers to generalize their findings. But findings are not the only entity that researchers can attempt to generalize. Scientists have theories, empirical hypotheses, and statistical hypotheses too. The extent to which scientists can generalize these is an open issue. As a prerequisite to proposals about generalizing theories, empirical hypotheses, and statistical hypotheses; they must be distinguished from each other. Another prerequisite is to specify, across what, the researcher wishes to generalize. I show that theories may or may not generalize across auxiliary assumptions, empirical hypotheses may or may not generalize across statistical assumptions, and statistical hypotheses may or may not generalize across inferential assumptions. The reasoning to be presented, pertaining to generalization, militates against the typical practice of using p‐values to draw conclusions about hypotheses.