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Underlying determinants driving agreement among coders

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Abstract

There are plenty of intercoder reliability indices, whereas the choice of them has been debated. With a Monte Carlo simulation, the determinants of the agreement indices were empirically tested. The chance agreement of Bennett’s S is found to be only affected by the number of categories. Consequently, S is a category based index. The chance agreements of Krippendorff’s \(\alpha \), Scott’s \(\pi \) and Cohen’s \(\kappa \) are affected by the marginal distribution, the level of difficulty and the interaction between them, and yet the difficulty level influences their chance agreements abnormally. The three indices are hence in general distribution based indices. Gwet’s \(AC_1\) reversed the direction of the three aforementioned indices, but its chance agreement is additionally affected by the number of categories and the interaction between the number of categories and the marginal distribution. \(AC_1\) can be classified into a class based on the number of categories, the marginal distribution and the level of difficulty. Both theoretical and practical implications were also discussed in the end.

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Notes

  1. Finn’s r is designed for continuous ratings, but it can be used for binary nominal data.

  2. Its formula of chance agreement is \(\frac{1}{k^{(n-1)}}\) , where n is the number of raters. Therefore, it is the only one in the S family applicable to multiple raters.

  3. Although \(I_r\) cannot be classified into the S family according to Feng (2012), they share the same formula of calculating chance agreement. Consequently, the results of S also apply to \(I_r\).

  4. The correlation with the unfolded distribution is higher, but their relationship is actually nonlinear. Therefore, correlation is not applicable.

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Acknowledgments

The author would like to thank Prof. Xinshu Zhao for his helpful comments and suggestions.

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Correspondence to Guangchao Charles Feng.

Appendix: R code used in simulation

Appendix: R code used in simulation

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Feng, G.C. Underlying determinants driving agreement among coders. Qual Quant 47, 2983–2997 (2013). https://doi.org/10.1007/s11135-012-9807-z

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