Computational protocol: Vigour in active avoidance

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Protocol publication

[…] We ran two power calculations to determine the sample sizes of Experiment 1 and 2, using G*Power 3.1.9.2; statistical test: difference between two dependent means (matched pairs). Experiment 1 was powered to detect a moderately-sized within-subjects effect: to detect a Cohen’s d of 0.6 with 80% power, we would need N = 24 (we used N = 28 to allow for attrition). While this sample size was sufficient to detect our primary effect, it was underpowered to detect correlation effects which would allow us to explore the relationship between behavior and subjective emotion. We therefore calculated that for a smaller effect size, Cohen’s d = 0.3, in a correlation test and 80% power, we would need 82 participants. For this reason, we recruited 90 new participants for Experiment 2 (mean age = 25.11, SD = 6.30; 67 female) with the aim of replicating our original effect and testing these subtler relationships. [...] We calculated the average grip force exerted by each participant in each block, allowing us to compare vigor exerted during high- and low-probability disaster blocks. We also computed the average subjective emotion scores measured in-task to analyze how this variable was modulated by baseline disaster probability. Lastly, we examined the relationship between these two factors: whether the degree to which a subject altered his or her effort related to levels of subjective emotion.Data were analyzed using MATLAB (2015) and the Statistical Package for the Social Sciences (IBM SPSS Statistics 22). […]

Pipeline specifications

Software tools G*Power, SPSS
Application Miscellaneous
Organisms Homo sapiens