data

Analyzing learning rates (pt. 1): Common pitfalls

Do you want to learn how to analyze learning? In this first post of a two-part series, Jake Zureich discussed common pitfalls when comparing learning curves using an illustrative example.

How to set up a simple experiment in Qualtrics

Many doctoral students and researchers find it challenging to start conducting experiments. In this post, Razvan Ghita shows how to create a simple experiment using the Qualtrics platform.

Why ANOVA and linear regression are the same

Why do some experimentalists in accounting use ANOVA's while other use regressions? What's the difference? This post shows why they are merely different representations of the same thing.

'Effect sizes don't matter in experiments.' Or do they?

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.

When and how to cluster standard errors in experimental data?

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.