A Facet Theory Analysis of the Structure of Cognitive Performance in New Zealand Robins (Petroica longipes)

P. Hackett, R. C. Shaw, N. Boogert, N. Clayton
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引用次数: 7

Abstract

In this report we analyse the cognitive performance of New Zealand Robins (Petroica longipes) using facet theory, smallest space analysis (SSA) and partial order scalogram analysis (POSA). The data set we analyse was originally subjected to principle component analysis in order to develop a test-battery for avian cognitive performance. We extend these analyses by proposing a two facet rather than a single component solution using SSA and we characterize individual birds by their scores on all tasks using POSA. We note problems with the small sample size and call for our exploratory analyses to be replicated using a larger sample of birds and for the development of further test items using the facet theory’s tool the mapping sentence. We suggest that facet theory and the mapping sentences are research approaches suitable for conceiving, designing, analysing and developing theory that may be used within avian cognitive research. We conclude by proposing a mapping sentence for avian cognition, which forms an adaptable template for future avian cognition research.
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新西兰知更鸟认知表现结构的小面理论分析
在本报告中,我们使用facet理论、最小空间分析(SSA)和偏阶尺度图分析(POSA)分析了新西兰罗宾斯(Petroica longipes)的认知表现。我们分析的数据集最初受到主成分分析,以开发鸟类认知性能的测试电池。我们通过使用SSA提出两个方面而不是单一组件的解决方案来扩展这些分析,并且我们使用POSA通过它们在所有任务中的得分来表征单个鸟类。我们注意到小样本量的问题,并呼吁使用更大的鸟类样本来复制我们的探索性分析,并使用facet理论的工具mapping句子来开发进一步的测试项目。我们认为面理论和映射句是适合于构思、设计、分析和发展理论的研究方法,可用于鸟类认知研究。最后,我们提出了一个鸟类认知的映射句,为未来的鸟类认知研究提供了一个可适应的模板。
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1.10
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审稿时长
12 weeks
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