@misc{cogprints3963,
           title = {Improving behaviour classification consistency: a technique from biological taxonomy},
          author = {Timo A. Nieminen and Serene Hyun-Jin Choi and Mark Bahr and Nan Bahr},
            year = {2002},
           pages = {CHO02101},
        keywords = {classification; behaviour analysis; binary keys},
             url = {http://cogprints.org/3963/},
        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.}
}

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