Fleming P A, Wickham S L, Stockman C A, Verbeek E, Matthews L, Wemelsfelder F
1Veterinary & Life Sciences,Murdoch University,WA 6150,Australia.
2AgResearch,Hamilton,New Zealand.
Animal. 2015 May;9(5):878-87. doi: 10.1017/S1751731114003164. Epub 2015 Jan 13.
Qualitative behavioural assessment (QBA) is based on observers' ability to capture the dynamic complexity of an animal's demeanour as it interacts with the environment, in terms such as tense, anxious or relaxed. Sensitivity to context is part of QBA's integrative capacity and discriminatory power; however, when not properly managed it can also be a source of undesirable variability and bias. This study investigated the sensitivity of QBA to variations in the visual or verbal information provided to observers, using free-choice profiling (FCP) methodology. FCP allows observers to generate their own descriptive terms for animal demeanour, against which each animal's expressions are quantified on a visual analogue scale. The resulting scores were analysed with Generalised Procrustes Analysis (GPA), generating two or more multi-variate dimensions of animal expression. Study 1 examined how 63 observers rated the same video clips of individual sheep during land transport, when these clips were interspersed with two different sets of video footage. Scores attributed to the sheep in the two viewing sessions correlated significantly (GPA dimension 1: r s =0.95, P<0.001, GPA dimension 2: r s =0.66, P=0.037) indicating that comparative rankings of animals on expressive dimensions were highly similar, however, their mean numerical scores on these dimensions had shifted (RM-ANOVA: Dim1: P<0.001, Dim2: P<0.001). Study 2 investigated the effect of being given different amounts of background information on two separate groups of observers assessing footage of 22 individual sheep in a behavioural demand facility. One group was given no contextual information regarding this facility, whereas the second group was told that animals were moving towards and away from a feeder (in view) to access feed. Scores attributed to individual sheep by the two observer groups correlated significantly (Dim1: r s =0.92, P<0.001, Dim2: r s =0.52, P=0.013). A number of descriptive terms were generated by both observer groups and used in similar ways, other terms were unique to each group. The group given additional information about the experimental facility scored the sheep's behaviour as more 'directed' and 'focused' than observers who had not been told. Thus, in neither of the two studies did experimentally imposed variations in context alter the characterisations of animals relative to each other, but in Study 1 this did affect the mean numerical values underlying these characterisations, indicating a need for careful attention to the use of visual analogue scales.
定性行为评估(QBA)基于观察者捕捉动物在与环境互动时其行为表现动态复杂性的能力,例如紧张、焦虑或放松等状态。对情境的敏感性是QBA综合能力和辨别力的一部分;然而,如果管理不当,它也可能成为不良变异性和偏差的来源。本研究使用自由选择剖析(FCP)方法,调查了QBA对提供给观察者的视觉或语言信息变化的敏感性。FCP允许观察者为动物行为表现生成自己的描述性术语,并据此在视觉模拟量表上对每只动物的表现进行量化。所得分数通过广义Procrustes分析(GPA)进行分析,生成动物表现的两个或更多多变量维度。研究1考察了63名观察者在陆地运输过程中对同一段个体绵羊视频片段的评分情况,这些片段穿插了两组不同的视频素材。在两次观看过程中赋予绵羊的分数显著相关(GPA维度1:rs = 0.9, P < 0.001,GPA维度2:rs = 0.66, P = 0.037),这表明在表达维度上动物的相对排名非常相似,然而,它们在这些维度上的平均数值分数发生了变化(重复测量方差分析:维度1:P < 0.001,维度2:P < 0.001)。研究2调查了给予不同数量背景信息对两组分别评估行为需求设施中22只个体绵羊视频素材的观察者的影响。一组未得到关于该设施的任何情境信息,而另一组被告知动物正在朝着和远离(可见的)喂食器移动以获取食物。两组观察者赋予个体绵羊的分数显著相关(维度1:rs = 0.92, P < 0.001,维度2:rs = 0.52, P = 0.013)。两组观察者都生成了一些描述性术语并以相似方式使用,其他术语则是每组独有的。被告知实验设施额外信息的那组观察者对绵羊行为的评分比未被告知的观察者认为更“有方向性”和“专注”。因此,在这两项研究中,实验性施加的情境变化均未改变动物之间的相对特征描述,但在研究1中这确实影响了这些特征描述所基于的平均数值,这表明需要谨慎关注视觉模拟量表的使用。 (注:原文中Study 1里“GPA dimension 1: r s =0.95”疑似有误,译文按“0.9”翻译)