Matlab vr2017 2019a

We used a two-tailed α ≤ 0.05 for the analyses of our primary research questions: (1) Does taVNS modulate invigoration or effort maintenance across conditions (stimulation main effect)? (2) Does taVNS applied to the left side compared to the right side elicit effects that are less generalizable beyond food rewards as suggested by Han et al.?³ Other potential interaction effects with reward magnitude or difficulty were assessed at a corrected level, because there was no a priori hypothesis about specificity. Mixed-effects analyses were conducted with HLM v7⁷² and lmerTest in R⁷³ . To determine the evidence for the alternative hypothesis (i.e., taVNS facilitates motivational aspects of goal-directed behavior such as invigoration or effort maintenance) provided by our results, we calculated corresponding BFs based on order-corrected individual estimates of all stimulation effects (calculated using ordinary least squares). We used the default Cauchy prior r = 0.707 as implemented in JASP v0.9⁷⁴ or, for the cost-evidence accumulation model, in R. We also conducted a prior robustness analysis and changes in the prior would not have led to differences in evidential conclusions. Effort data was processed with MATLAB vR2017-2019a and SPSS v24. Results were plotted with R v3.4.0⁷⁵ .

We used a two-tailed α ≤ 0.05 for the analyses of our main research question: Do women and men differ in invigoration or effort maintenance? Mixed-effects analyses were conducted with HLM v7³⁵ and lmerTest in R^{36 (link)}. To determine the evidence for the alternative hypothesis provided by our results, we calculated corresponding BFs based on individual empirical Bayes estimates. Effort data was processed with MATLAB vR2017-2019a and SPSS v24. Results were plotted with R v4.1.0 (R Core Team, 2017).