Observer ratings: validity and value as a tool for animal welfare research

By R. Meagher. 2009

229 citations recorded by the source corpus.

Subfields: Animal Science and Zoology, Small Animals

View Paper: https://www.semanticscholar.org/paper/f1e6f401e2fe74bfb1d0c911b29b2fc485e45231

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In Animal Science and Zoology

In Small Animals

Citations in the corpus

On-Farm Qualitative Behaviour Assessment of Dairy Goats in Different Housing Conditions (2016, background): “However, we should also aim to achieve better robustness for scores on second and third principal components, which may well provide valuable additional information (Meagher, 2009).”
Observer bias in animal behaviour research: can we believe what we score, if we score what we believe? (2014, background): “Very explicit criteria for each value on a scale make the ratings less dependent on personal experience or other factors that will make the judgement vary greatly between individuals (Meagher, 2009).”
The contribution of qualitative behavioural assessment to appraisal of livestock welfare (2016, methodology): “Their innovation was to design a formal statistical methodology so that aspects of the animal’s Journal compilation CSIRO 2016 www.publish.csiro.au/journals/an body language, such as ‘arousal’ and ‘engagement’, could be quantified and therefore compared objectively (Meagher 2009).”
The Emotional Lives of Companion Animals: Attachment and Subjective Claims by Owners of Cats and Dogs (2016, background): “In detailed reviews the value of observer assessments (when used in careful experimental design) in investigating animal welfare are described (Wemelsfelder 1997; Meagher 2009).”
Validity and feasibility of qualitative behavior assessment for the evaluation of Nellore cattle temperament (2013, background): “The principal advantage of these methods is their integrative nature that permits the observer to combine multiple factors into a single characteristic or scale, which is different from standardized objective methods that commonly divide the information in categories (Meagher, 2009).”