Improving behaviour classification consistency: A technique from biological taxonomy

Choi, Serene Hyun-Jin, Nieminen, Timo A., Bahr, Mark and Bahr, Nan (2002). Improving behaviour classification consistency: A technique from biological taxonomy. In: P. L. Jeffery, Problematic Futures: Educational Research in an Era of ... Uncertainty. Australian Association for Research in Education Annual Conference 2002 (AARE2002), Brisbane, Australia, (). 1-5 December, 2002.

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Author Choi, Serene Hyun-Jin
Nieminen, Timo A.
Bahr, Mark
Bahr, Nan
Title of paper Improving behaviour classification consistency: A technique from biological taxonomy
Conference name Australian Association for Research in Education Annual Conference 2002 (AARE2002)
Conference location Brisbane, Australia
Conference dates 1-5 December, 2002
Proceedings title Problematic Futures: Educational Research in an Era of ... Uncertainty
Publication Year 2002
Sub-type Fully published paper
ISBN 1324 - 9320
Editor P. L. Jeffery
Language eng
Abstract/Summary 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.
Subjects 220000 Social Sciences, Humanities and Arts - General
Keyword classification
behaviour analysis
binary keys
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Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

 
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Created: Thu, 11 Mar 2004, 10:00:00 EST by Timo Nieminen on behalf of School of Mathematics & Physics