SOFTWARE-SUPPORTED AND SIMULATION-BASED INTRODUCTION TO SIGNIFICANCE TESTS

Karin Binder, Michael Rößner

Keywords: significance test, simulations, p-value, software

Short Summary: The results of significance tests and p-values are associated with many misconceptions. Misconceptions are, for example, that one could now say something about the probability of the null hypothesis, or the equation of large effects or relevant effects. But even if traditional significance tests are controversial, they are still used intensively in research. And when used correctly, they can be very useful and provide valuable insights. This contribution presents a study with 41 gifted or interest students (grades 8-12), who attended an intensive workshop on significance tests for a week (see also Rößner, Binder & Ufer, under review). Some of the misconceptions occur only rarely after the workshop.

Topic Area: Learning Materials

Presenting Author: Karin Binder

Presentation Type: Short Presentation (ca. 20 min)

Submission Number: 2