2020
DOI: 10.3758/s13428-020-01395-3
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A primer on running human behavioural experiments online

Abstract: Moving from the lab to an online environment opens up enormous potential to collect behavioural data from thousands of participants with the click of a button. However, getting the first online experiment running requires familiarisation with a number of new tools and terminologies. There exist a number of tutorials and hands-on guides that can facilitate this process, but these are often tailored to one specific online platform. The aim of this paper is to give a broad introduction to the world of online test… Show more

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Cited by 71 publications
(86 citation statements)
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“…The analyses were conducted in the statistical program R (R Core Team, 2014) with the brms package (using Stan) (Bürkner, 2017(Bürkner, , 2018 R Core Team, 2014). Similar approaches have been used previously in Escudero et al, (2020) and Smit et al, (2019;2020;2020a). A comprehensive overview of the methods is described in Smit et al, (2019) and Escudero et al, (2020).…”
Section: Bayesian Regressionmentioning
confidence: 99%
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“…The analyses were conducted in the statistical program R (R Core Team, 2014) with the brms package (using Stan) (Bürkner, 2017(Bürkner, , 2018 R Core Team, 2014). Similar approaches have been used previously in Escudero et al, (2020) and Smit et al, (2019;2020;2020a). A comprehensive overview of the methods is described in Smit et al, (2019) and Escudero et al, (2020).…”
Section: Bayesian Regressionmentioning
confidence: 99%
“…In contrast with null-hypothesis significant testing (NHST), we here assess the evidence for a hypothesis by using evidence ratios (probability ratios or odds) which quantify the likelihood of the tested hypothesis against its alternative (Escudero et al, 2020;Smit et al, 2019;2020;2020a). Following Smit et al, (2019;2020;2020a,), and Escudero et al, (2020), we also use the guidelines that were proposed by Jeffreys (1998) as cited by Kruschke (2018):…”
Section: Bayesian Regressionmentioning
confidence: 99%
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