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This analysis revealed that each participant's regression slope did not significantly differ from zero, using an alpha of 0.05, meaning there was no significant increase or decrease in efficiency over block order.
Using these data [37] to calculate an effect size (dz) of 1.63 and using an alpha of 0.05 and a power of 0.95, we get a minimum sample required of n = 6 for detecting a difference in strength, which was the primary outcome of our study.
Post hoc pairwise comparisons were conducted among Regions, Sites, and Colonies using an alpha of 0.05 while controlling the family-wise false discovery rate at or below 0.05 [54].
Two-tailed significance was evaluated using an alpha of 0.05.
Two-tailed statistical significance was evaluated using an alpha of 0.05.
Sample size for each experiment was calculated using an alpha of 0.05 and beta of 0.20.
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All analyses used an alpha of 0.05 and were conducted using SPSS (version 21).
All statistical tests were two-tailed and used an alpha of 0.05.
We used Wilcoxon signed rank tests to determine whether the mean percentage of choices towards the two previously rewarded cues were significantly different between Experiments 1 and 3. To maintain an overall alpha of 0.05, we used an alpha of 0.008 for each of the three comparisons of choice distribution that we carried out [24].
All follow-up statistical tests used an alpha of 0.05.
We used an alpha of 0.05 across the analyses.
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