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Improving behaviour classification consistency: a technique from biological taxonomy

Nieminen, Timo A. and Choi, Serene Hyun-Jin and Bahr, Mark and Bahr, Nan (2002) Improving behaviour classification consistency: a technique from biological taxonomy. [Conference Paper]

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Abstract

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.

Item Type:Conference Paper
Keywords:classification; behaviour analysis; binary keys
Subjects:Psychology > Behavioral Analysis
ID Code:3963
Deposited By: Nieminen, Dr Timo A.
Deposited On:29 Nov 2004
Last Modified:11 Mar 2011 08:55

References in Article

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Barlow, D. H. and Hersen, M. (1984). Single case experimental designs: strategies for studying behavior change, 2nd ed., Pergamon Press, New York.

Bekoff, M. (1977). Three areas of classical ethology. pp 1-46 in Hazlett, B. A. (ed), Quantitative methods in the study of animal behaviour, Academic Press, New York.

Dallwitz, M. J. (1974). A flexible computer program for generating identification keys. Syst. Zool., 23, 50-57.

Gay, L. R. (1996). Educational research: competencies for analysis and application, 5th ed., Prentice-Hall, Upper Saddle River, NJ.

Gittleman, J. L. and Decker, D. M. (1994). The phylogeny of behaviour. pp 80-105 in Slater, P. J. B. and Halliday, T. R. (eds), Behaviour and Evolution, Cambridge University Press, Cambridge, UK.

Herbert, J. and Attridge, C. (1975). A guide for developers and users of observation systems and manuals. American Educational Research Journal, 12, 1-20.

Meltzoff, J. (1998). Critical thinking about research: psychology and related fields, American Psychological Association, Washington, DC.

Metcalf, Z. P. (1954). The construction of keys. Syst. Zool., 3, 38-45.

Mitchell, M. and Jolley, J. (2001). Research design explained, 4th ed., Harcourt, Fort Worth, TX.

Osborne, D. V. (1963a). A numerical representation for taxonomic keys. New Phytologist, 62, 35-43.

Osborne, D. V. (1963b). Some aspects of the theory of dichotomous keys. New Phytologist, 62, 144-160.

Payne, R. W. and Preece, D. A. (1980). Identification keys and diagnostic tables: a review. J. R. Statist. Soc. A, 143, 253-292.

Slater, P. J. B. (1978). Data collection. pp 7-24 in Colgan, P. W. (ed), Quantitative Ethology, John Wiley, New York.

Whitley, B. E., Jr. (2002). Principles of research in behavioral science, 2nd ed., McGraw-Hill, Boston.

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