10.6084/m9.figshare.5236081.v1 Piera Filippi Piera Filippi Jenna V. Congdon Jenna V. Congdon John Hoang John Hoang Daniel L. Bowling Daniel L. Bowling Stephan A. Reber Stephan A. Reber Andrius Pašukonis Andrius Pašukonis Marisa Hoeschele Marisa Hoeschele Sebastian Ocklenburg Sebastian Ocklenburg Bart de Boer Bart de Boer Christopher B. Sturdy Christopher B. Sturdy Albert Newen Albert Newen Onur Güntürkün Onur Güntürkün Table 3 from Humans recognize emotional arousal in vocalizations across all classes of terrestrial vertebrates: evidence for acoustic universals The Royal Society 2017 emotional arousal language evolution vocal communication cross-species communication acoustic universals emotional prosody 2017-07-24 11:51:36 Journal contribution https://rs.figshare.com/articles/journal_contribution/Table_3_from_Humans_recognize_emotional_arousal_in_vocalizations_across_all_classes_of_terrestrial_vertebrates_evidence_for_acoustic_universals/5236081 (A) Values of the GLMMs computed across animal species. We assessed acoustic predictors of humans’ ability to identify vocalizations expressing higher levels of arousal across terrestrial tetrapods. Bold type indicate p ≤0.05; degrees of freedom = 1 for all fixed factors. (B) Outcome of AICc ranking for GLMMs computed across 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.