Improving behaviour classification consistency: a technique from biological taxonomy
Contribuinte(s) |
Jeffrey, Peter |
---|---|
Data(s) |
2002
|
Resumo |
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. |
Formato |
text/html |
Identificador | |
Publicador |
AARE |
Relação |
http://eprints.qut.edu.au/26325/1/cho02101.htm http://www.aare.edu.au/02pap/cho02101.htm 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. |
Direitos |
Copyright 2009 AARE: The Association for Academicic Researchers |
Fonte |
Office of Education Research; Faculty of Education |
Palavras-Chave | #179999 Psychology and Cognitive Sciences not elsewhere classified #Biology #Taxonomy |
Tipo |
Conference Paper |