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Short answer It all depends on what you wish to measure; if you are after measurements where a few milliseconds matter, response boxes are the way to go. Background RT measurements are finicky; USB peripherals add polling latencies to your recorded response times. This can add unacceptable latencies (8 ms or so) to RT estimates. Apart from this effect on ...


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This type of data (repeated measures on a group of subjects) lends itself perfectly for a linear mixed model (LMM) analysis. I'm into psychophysics myself and I have mostly abandoned simple ANOVAs and switched to LMMs almost completely, especially because it can handle missing data, and because LMMs allow for inclusion of trial and session number to correct ...


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Short answer: It's currently unclear. In the 20+ years since the original paper was published, there have been many successful replications of the effect, including domains not involving written tests, such as debating, chess, bridge, bed-side manner, facial recognition, and yes, even driving. However, as Wikipedia summarizes: ... their conclusions are ...


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You could solve this problem telling your participant that they have to answer as soon as they spot the right answer or if you do not want them to answer before the end of the stimuli you can disable answers before the end of the stimuli (normally you write what you expect in the experiment introduction screen). If you let (want) your participant to answer ...


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I think there are many ways to accomplish this in terms of technical detail, but they will all boil down to measuring the arrival of an action potential along the axon on at least two points with known distance from each other on the axon. From these two arrival times the latency can be deducted. Then, by dividing the distance between the elektrodes by the ...


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Regardless of what the chance level exactly was, as alluded to in the comments, the scores leap from 0.1 to 0.8. This results in nearly vertical slopes that are prone to convergence errors and hence lead to suboptimal threshold estimates in terms of accuracy. MATLAB always warns me when that happens. I have no experience with PsychoPy unfortunately. If you ...


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LMM is a good suggestion, second that. Consider also fitting a log-normal to the RT's as recommended by Haines & friends https://psyarxiv.com/xr7y3/download/?format=pdf You will have more or less uncertainty depending on how many trials you got, but it won't matter that people did different numbers of trials. I find the arguments in this paper for 'one ...


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Limesurvey: Just to add to Robin Kramer's answer - a very useful platform is the fully open source Limesurvey. It runs on PHP and, in my opinion, has better capabilities than Surveymonkey plus you fully control it. You can easily install it on your web server, or you can use many hosting solutions that will offer automated LS installations (I know for sure ...


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