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. Author manuscript; available in PMC: 2021 Feb 25.
Published in final edited form as: Neuron Behav Data Anal Theory. 2020 Jul 21;3(5):https://nbdt.scholasticahq.com/article/13927-application-of-the-hierarchical-bootstrap-to-multi-level-data-in-neuroscience.

FIGURE 6.

FIGURE 6

Reanalysis of generalization in the headphones learning paradigm. a) The results when quantified using traditional statistics. As shown, both target and different type syllables differ significantly from zero over the last 3 days of the shift with target syllable moving adaptively and the different type syllables showing anti-adaptive generalization respectively. b) The results when quantified using summarized statistics when summarized over the syllables. In this case, the target syllable is significantly different from zero while the different type syllables are just over the threshold for significance. c) The results when bootstrap is applied over the hierarchical levels. The target syllable is significantly different from zero but the different type syllables are not.