There is a growing trend of using practical anecdotes to signal relevance and importance of experimental research. However, it's important to be cautious about a hidden danger. Read this post to learn more.
In this post, I share simple techniques to filter participants before they take part in your online experiment. These techniques filter bots and participants using automated scripts plus participants who fake their geolocation using VPN/VPS, proxies, and server farms.
The COVID pandemic has increased the popularity of online experiments in the field of accounting, but, at the same time, our criticism of online participants has been mounting up rapidly. Does this mean online experiments are rubbish or are we perhaps a little too harsh?
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.
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 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.
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?
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.
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.