When two (or more) observers independently classify objects or observations into the same set of mutually exclusive and exhaustive k categories, it may be worthwhile to use a measure that summarizes the extent to which observers conform in their classifications. The Kappa coefficient, first proposed by Cohen (1960), is such a measure. . If you have access to journalistic content through a university, library or employer, sign up here. If you have access to the journal through a company or associations, read the instructions below To define this measure, let pij be the proportion of items assigned to The Observer Category i 1 and The Observer Category J 2. In addition, you leave the proportion of objects assigned to Observer Category i and the percentage of objects assigned to The J category of Observer 2. If these proportions or sampling probabilities are represented in a two-sided contingency table with k-lines and k columns, pij becomes the probability in the cell corresponding to line i and column j. With the i line, which is like column i 1, …, k, the diagonal of this table presents probabilities pii (i 1, …, k) the… Contact us if you have trouble connecting.

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