Improving behaviour classification consistency: a technique from biological taxonomy
Choi, Serene Hyun-Jin , Nieminen, Timo , Bahr, Mark, & Bahr, Nan (2002) Improving behaviour classification consistency: a technique from biological taxonomy. In Jeffrey, Peter (Ed.) AARE 2002 Conference Papers, December 1-5, 2002, Brisbane, Queensland.
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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.
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|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > OTHER PSYCHOLOGY AND COGNITIVE SCIENCES (179900) > Psychology and Cognitive Sciences not elsewhere classified (179999)|
|Divisions:||Current > Research Centres > Office of Education Research
Current > QUT Faculties and Divisions > Faculty of Education
|Copyright Owner:||Copyright 2009 AARE: The Association for Academicic Researchers|
|Deposited On:||16 Jul 2009 00:09|
|Last Modified:||10 Aug 2011 16:32|
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