TY - DATA T1 - Table 4 from Humans recognize emotional arousal in vocalizations across all classes of terrestrial vertebrates: evidence for acoustic universals PY - 2017/07/24 AU - Piera Filippi AU - Jenna V. Congdon AU - John Hoang AU - Daniel L. Bowling AU - Stephan A. Reber AU - Andrius Pašukonis AU - Marisa Hoeschele AU - Sebastian Ocklenburg AU - Bart de Boer AU - Christopher B. Sturdy AU - Albert Newen AU - Onur Güntürkün UR - https://rs.figshare.com/articles/journal_contribution/Table_4_from_Humans_recognize_emotional_arousal_in_vocalizations_across_all_classes_of_terrestrial_vertebrates_evidence_for_acoustic_universals/5236072 DO - 10.6084/m9.figshare.5236072.v1 L4 - https://ndownloader.figshare.com/files/8947420 KW - emotional arousal KW - language evolution KW - vocal communication KW - cross-species communication KW - acoustic universals KW - emotional prosody N2 - (A) Values of the GLMMs computed separately for each animal species. For each species included in our stimuli set, we assessed acoustic predictors of humans’ ability to identify the vocalizations expressing higher levels of arousal. Bold type indicate p ≤0.05; degrees of freedom = 1 for all fixed factors. (B) Outcome of AICc ranking for GLMMs computed within each animal species. ∆AICc is the difference in AICc between each model and the best model. The Akaike's weights indicates the relative support that a given model has from the data, compared to other candidate models. Bold type indicates models with the highest power to explain variation in the dependent variable, based on lowest AICc. ER -