Planning for Evidence

Bayesian statistics offers a very different path for sample-size determination: Planning for evidence.

One especially compelling version of this approach is called open-ended Sequential Bayes Factor (SBF) design, in which the researcher collects data until compelling evidence emerges for their hypothesis or the null.

Despite the best-laid plans, a module on planning for evidence is not ready for release yet. Please stay tuned. In the meantime, the most authoritative and accessible resources for this approach is (Schönbrodt and Wagenmakers 2017).

References

Schönbrodt, Felix D., and Eric-Jan Wagenmakers. 2017. “Bayes Factor Design Analysis: Planning for Compelling Evidence.” Psychonomic Bulletin & Review, 1–16. https://doi.org/10.3758/s13423-017-1230-y.