design

Replications can help improve practical relevance of accounting experiments

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.

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.

Why PEQs do not provide the best process evidence

Post-experimental questionnaires (PEQs) are a popular means of obtaining process evidence in experimental research. However, are they the best method for obtaining such evidence?

The best time to pick up oTree (to design interactive experiments) is now!

Over the past few months, oTree has undergone changes making it much easier to design your (online) interactive experiment. Find out what changed!

Automize testing your experiments with 'bots'

Bots are a powerful yet often overlooked tool that helps experimental researchers test their applications more effectively and efficiently. In this post, Victor van Pelt explains their use and argues that their usefulness may even extend beyond testing.

What do participants think of accounting experiments? A preliminary look into ongoing research

Which design features of accounting experiments contribute the most to participant motivation, participant engagement, and perceived similarity to practice? Bart Dierynck and Victor van Pelt are in the process of providing an empirical answer.

Deception when generating random numbers

Many experiments generate random numbers for participants. Yet, the code used to generate those numbers sometimes does not do what we think it does, which could lead to deception when reporting about the number generation process to participants.

Sliders with feedback and without anchoring

Sliders are a great way to elicit input from participants. In this post, I share a few lines of code helping you program sliders with real-time feedback and without anchoring.

Embedding excel spreadsheets in your experiment

Some experiments ask participants to make use of Excel spreadsheets. This post shows how to embed Excel spreadsheets in the code of your experiment.