title: Improving behaviour classification consistency: a technique from biological taxonomy
creator: Nieminen, Timo A.
creator: Choi, Serene Hyun-Jin
creator: Bahr, Mark
creator: Bahr, Nan
subject: Behavioral Analysis
description: Quantitative behaviour analysis requires the classification of behaviour to produce the basic data.  In practice, much of this work will be performed by multiple observers, and maximising inter-observer consistency is of particular importance.  Another discipline where consistency in classification is vital is biological taxonomy.  A classification tool of great utility, the binary key, is designed to simplify the classification decision process and ensure consistent identification of proper categories.  We show how this same decision-making tool - the binary key - can be used to promote consistency in the classification of behaviour.  The construction of  a binary key also ensures that the categories in which behaviour is classified are complete and non-overlapping.  We discuss the general principles of design of binary keys, and illustrate their construction and use with a practical example from education research.
date: 2002
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/3963/1/cho02101.pdf
identifier:   Nieminen, Timo A. and Choi, Serene Hyun-Jin and Bahr, Mark and Bahr, Nan  (2002) Improving behaviour classification consistency: a technique from biological taxonomy.  [Conference Paper]     
relation: http://cogprints.org/3963/