Abstract

To test the agreement between two observers who categorize a number of objects when the categories have not been specified in advance, Brennan & Light (1974) developed a statistic A ′ and suggested a normal approximation for its distribution. In this paper it is shown that this approximation is inadequate particularly when one, or both, of the observers place a fairly equal number of objects in all of their categories. A chi‐squared approximation to the distribution of A ′ is developed and is shown to work well in a variety of situations. The relative powers of A ′ and the ordinary X 2 test for association are dependent on the type of ‘agreement between the observers’ that is assumed. However a simulation for a fairly general type of agreement indicates that the X 2 test is more powerful. As the X 2 test is also much easier to apply, it would seem preferable in most situations.

Keywords

MathematicsCategorizationTest (biology)Variety (cybernetics)Test statisticStatisticType (biology)Distribution (mathematics)StatisticsStatistical hypothesis testingComputer scienceMathematical analysisArtificial intelligence

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Publication Info

Year
1984
Type
article
Volume
37
Issue
2
Pages
271-282
Citations
48
Access
Closed

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Richard Brook, W. Douglas Stirling (1984). Agreement between observers when the categories are not specified in advance. British Journal of Mathematical and Statistical Psychology , 37 (2) , 271-282. https://doi.org/10.1111/j.2044-8317.1984.tb00805.x

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DOI
10.1111/j.2044-8317.1984.tb00805.x