Do you want to learn how to analyze learning? In this second post of a two-part series, Jake Zureich discusses two approaches when comparing learning curves.
Do you want to learn how to analyze learning? In this first post of a two-part series, Jake Zureich discusses common pitfalls when comparing learning curves using an illustrative example.
Some accounting researchers argue that effect sizes do not matter in experiments. In this post, I explain why effect sizes do matter and why they can be particularly valuable for experiments in the field of accounting.
Choosing whether and on which level to cluster standard errors in experimental data turns out to be less straightforward that I originally thought. However, some practical advice for experimental researchers is emerging.