Analyzing learning rates (pt. 2): Two approaches

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.

Replications can help settle practical relevance discussions

Both replications and practical relevance are awkward discussion topics for most experimental accounting researchers. Yet, replications offer a concrete way to address concerns we may have about the 'practical relevance' of experimental findings.

Why we ignore free-form communication and why we shouldn't

People in workplace settings can typically communicate freely with each other, but many experiments scale communication down to a restricted form. Should we maintain this status quo or is there room for free-form communication? Read this post by Farah Arshad and Cardin Masselink to find out more.

oTree Tutorial (Updated for 2021)

We are happy to announce our updated tutorial series on oTree, which is an open-source platform for behavioral research. The tutorial is a three-part series created for doctoral students and researchers who are interested in using oTree for their survey and experimental research.

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 discusses common pitfalls when comparing learning curves using an illustrative example.

The role of exploratory analyses in accounting research

Developing theory after collecting data is problematic because the theoretical predictions are post hoc. However, does that imply that all exploratory analyses are pointless? In this post, Jeremy Bentley explains that exploratory analyses can still add value even when researchers prefer to pre-commit to ex-ante theoretical predictions.

Running your experiment on MTurk

With the increasing popularity of online experiments, many have asked us for advice on how to conduct experiments on Amazon's Mechanical Turk. In this post, Christian Peters provides a hands-on guide.

Are experiments that recruit from online subject pools field experiments or laboratory experiments?

Experiments that recruit from online participants pools such as MTurk and Prolific have become increasingly popular over the past two decades. However, since scholars have referred to such experiments as both laboratory and field experiments, which classification should we use?

Choosing the right participants for your experiment

Choosing the right participant pool for your experiment is challenging. Which experiments require professional participants? Does it matter whether you recruit students or online participants? In this post, Jeremy Bentley explains his approach to participant pool selection.

Introduction to oTree (Part 5) - Running your oTree app on MTurk

We are happy to announce the fifth video in a five-part series of introduction videos about oTree, which is an open-source platform for behavioral research. In this fifth video, Victor van Pelt shows how to run your oTree application on Amazon's Mechanical Turk.