Improving behaviour classification consistency: a technique from biological taxonomy


Autoria(s): Choi, Serene Hyun-Jin; Nieminen, Timo; Bahr, Mark; Bahr, Nan
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

http://eprints.qut.edu.au/26325/

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