Abstract
Researchers have ample reasons to take their experimental studies out of the lab and into the online wilderness. For some, it is out of necessity, due to an unforeseen laboratory closure or difficulties in recruiting on-site participants. Others want to benefit from the large and diverse online population. However, the transition from in-lab to online data acquisition is not trivial and might seem overwhelming at first. To facilitate this transition, we present an overview of actively maintained solutions for the critical components of successful online data acquisition: creating, hosting and recruiting. Our aim is to provide a brief introductory resource and discuss important considerations for researchers who are taking their first steps towards online experimentation.
Highlights
Introduction to Running BehavioralExperiments OnlineMarian Sauter 1, *, Dejan Draschkow 2 *and Wolfgang Mack 1Institute for Psychology, Bundeswehr University Munich, 85579 Neubiberg, Germany; Department of Psychiatry, Oxford Centre for Human Brain Activity, Wellcome Centre for IntegrativeReceived: 26 March 2020; Accepted: 20 April 2020; Published: 24 April 2020 AbstractResearchers have ample reasons to take their experimental studies out of the lab and into the online wilderness
This article is mainly aimed at cognitive psychology and behavioral neuroscience researchers who have none or limited prior experience in conducting behavioral experiments within an online ecosystem
Our focus is on providing a conceptual overview of the critical components of online experimentation
Summary
In midst of the Covid-19 pandemic [1], many researchers are bound to rethink lab-based behavioral experiments [2]. A big strength of online studies is that they scale very well, as recruiting larger samples does not require a higher workload and hard-to-reach populations become more readily accessible (e.g., [12,13,14,15,16]; see Figure 2). This can be especially useful for reaching clinical samples or for conducting experimental cross-cultural studies. We offer some considerations and rules of thumb for succeeding with online acquisition, mainly focusing on feasibility and data quality
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