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?
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.
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.
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.