Table 2.
Inferential statistics of the latency data in Experiment 2. Here we conducted an ANOVA with the factors previous outcome, condition and part of the experiment.
Effect DFn DFd MSE F p ges BF10 
Start RT previous outcome 99 5749.59 3.42 .07 0.00 0.48 
condition 99 5954.52 6.93 .01 0.00 3.48 
part of the experiment 99 13770.53 27.87 < .001 0.03 > 100 
previous outcome x condition 99 3145.98 2.68 .11 0.00 0.23 
previous outcome x part of the experiment 99 2458.19 0.80 .37 0.00 0.13 
condition x part of the experiment 99 3462.51 3.99 .05 0.00 0.38 
previous outcome x condition x part of the experiment 99 2401.71 0.31 .58 0.00 0.18 
Choice RT previous outcome 99 17253.70 5.17 .03 0.00 3.35 
condition 99 18410.76 1.66 .20 0.00 0.28 
part of the experiment 99 20257.63 94.50 < .001 0.05 > 100 
previous outcome x condition 99 5460.04 0.30 .58 0.00 0.12 
previous outcome x part of the experiment 99 7454.79 8.26 .01 0.00 0.15 
condition x part of the experiment 99 6494.40 1.25 .27 0.00 1.42 
previous outcome x condition x part of the experiment 99 4597.98 0.45 .51 0.00 0.19 
Effect DFn DFd MSE F p ges BF10 
Start RT previous outcome 99 5749.59 3.42 .07 0.00 0.48 
condition 99 5954.52 6.93 .01 0.00 3.48 
part of the experiment 99 13770.53 27.87 < .001 0.03 > 100 
previous outcome x condition 99 3145.98 2.68 .11 0.00 0.23 
previous outcome x part of the experiment 99 2458.19 0.80 .37 0.00 0.13 
condition x part of the experiment 99 3462.51 3.99 .05 0.00 0.38 
previous outcome x condition x part of the experiment 99 2401.71 0.31 .58 0.00 0.18 
Choice RT previous outcome 99 17253.70 5.17 .03 0.00 3.35 
condition 99 18410.76 1.66 .20 0.00 0.28 
part of the experiment 99 20257.63 94.50 < .001 0.05 > 100 
previous outcome x condition 99 5460.04 0.30 .58 0.00 0.12 
previous outcome x part of the experiment 99 7454.79 8.26 .01 0.00 0.15 
condition x part of the experiment 99 6494.40 1.25 .27 0.00 1.42 
previous outcome x condition x part of the experiment 99 4597.98 0.45 .51 0.00 0.19 

Note: ges = Generalized Eta-Squared measure of effect size; BF10 = Bayes Factor 10; To determine statistical significance, we used an alpha of .05.

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