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      Audience effect on domestic dogs’ behavioural displays and facial expressions

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          Abstract

          In the present study we investigated the influence of positive and negative arousal situations and the presence of an audience on dogs’ behavioural displays and facial expressions. We exposed dogs to positive anticipation, non-social frustration and social frustration evoking test sessions and measured pre and post-test salivary cortisol concentrations. Cortisol concentration did not increase during the tests and there was no difference in pre or post-test concentrations in the different test conditions, excluding a different level of arousal. Displacement behaviours of “looking away” and “sniffing the environment” occurred more in the frustration-evoking situations compared to the positive anticipation and were correlated with cortisol concentrations. “Ears forward” occurred more in the positive anticipation condition compared to the frustration-evoking conditions, was positively influenced by the presence of an audience, and negatively correlated to the pre-test cortisol concentrations, suggesting it may be a good indicator of dogs’ level of attention. “Ears flattener”, “blink”, “nose lick”, “tail wagging” and “whining” were associated with the presence of an audience but were not correlated to cortisol concentrations, suggesting a communicative component of these visual displays. These findings are a first step to systematically test which subtle cues could be considered communicative signals in domestic dogs.

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          Mixed-effects modeling with crossed random effects for subjects and items

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            The expression of the emotions in man and animals.

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              Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner's curse

              Fitting generalised linear models (GLMs) with more than one predictor has become the standard method of analysis in evolutionary and behavioural research. Often, GLMs are used for exploratory data analysis, where one starts with a complex full model including interaction terms and then simplifies by removing non-significant terms. While this approach can be useful, it is problematic if significant effects are interpreted as if they arose from a single a priori hypothesis test. This is because model selection involves cryptic multiple hypothesis testing, a fact that has only rarely been acknowledged or quantified. We show that the probability of finding at least one ‘significant’ effect is high, even if all null hypotheses are true (e.g. 40% when starting with four predictors and their two-way interactions). This probability is close to theoretical expectations when the sample size (N) is large relative to the number of predictors including interactions (k). In contrast, type I error rates strongly exceed even those expectations when model simplification is applied to models that are over-fitted before simplification (low N/k ratio). The increase in false-positive results arises primarily from an overestimation of effect sizes among significant predictors, leading to upward-biased effect sizes that often cannot be reproduced in follow-up studies (‘the winner's curse’). Despite having their own problems, full model tests and P value adjustments can be used as a guide to how frequently type I errors arise by sampling variation alone. We favour the presentation of full models, since they best reflect the range of predictors investigated and ensure a balanced representation also of non-significant results.
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                Author and article information

                Contributors
                giulia.pedretti@unipr.it
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 June 2022
                13 June 2022
                2022
                : 12
                : 9747
                Affiliations
                [1 ]GRID grid.10383.39, ISNI 0000 0004 1758 0937, Department of Medicine and Surgery, , University of Parma, ; Via Gramsci 14, 43126 Parma, Italy
                [2 ]GRID grid.10383.39, ISNI 0000 0004 1758 0937, Department of Chemistry, Life Science and Environmental Sustainability, , University of Parma, ; Viale delle Scienze 17/A, 43124 Parma, Italy
                [3 ]GRID grid.6583.8, ISNI 0000 0000 9686 6466, Domestication Lab, Wolf Science Center, Konrad-Lorenz-Institute for Ethology, , University of Veterinary Medicine, ; Veterinärplatz 1, 1210 Vienna, Austria
                [4 ]GRID grid.6583.8, ISNI 0000 0000 9686 6466, Unit of Physiology, Pathophysiology and Experimental Endocrinology, Department of Biomedical Sciences, , University of Veterinary Medicine, ; Veterinärplatz 1, 1210 Vienna, Austria
                Author information
                http://orcid.org/0000-0002-4440-351X
                http://orcid.org/0000-0001-9466-3662
                Article
                13566
                10.1038/s41598-022-13566-7
                9192729
                35697913
                3e066ce6-803e-480d-a260-94994c000643
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 March 2022
                : 25 May 2022
                Categories
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                © The Author(s) 2022

                Uncategorized
                emotion,social behaviour,stress and resilience,animal behaviour,animal physiology
                Uncategorized
                emotion, social behaviour, stress and resilience, animal behaviour, animal physiology

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