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TY - GEN ID - cogprints3963 UR - http://cogprints.org/3963/ A1 - Nieminen, Timo A. A1 - Choi, Serene Hyun-Jin A1 - Bahr, Mark A1 - Bahr, Nan TI - Improving behaviour classification consistency: a technique from biological taxonomy Y1 - 2002/// N2 - 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. AV - public KW - classification; behaviour analysis; binary keys ER -