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Factors affecting intercoder reliability: a Monte Carlo experiment

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  • Guangchao Feng

Abstract

Although it has long been a consensus that intercoder reliability is crucial to the validity of a content analysis study, the choice among them has been debated. This study reviewed and empirically tested most popular intercoder reliability indices, aiming to find the most robust index against prevalence and rater bias, by empirically testing their relationships with response surface methodology through a Monte Carlo experiment. It was found that Maxwell’s R.E is superior to Krippendorff’s α, Scott’s π, Cohen’s κ, I r of Perreault and Leigh, and Gwet’s AC 1 . More nuanced relationships among prevalence, sensitivity, specificity and the intercoder reliability indices were discovered through response surface plots. Both theoretical and practical implications were also discussed in the end. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Guangchao Feng, 2013. "Factors affecting intercoder reliability: a Monte Carlo experiment," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2959-2982, August.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:5:p:2959-2982
    DOI: 10.1007/s11135-012-9745-9
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    References listed on IDEAS

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    1. Matthijs Warrens, 2010. "A Formal Proof of a Paradox Associated with Cohen’s Kappa," Journal of Classification, Springer;The Classification Society, vol. 27(3), pages 322-332, November.
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    4. Janet Rosenbaum, 2010. "Bayesian Methods for Measures of Agreement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 270-270, January.
    5. de Mast, Jeroen, 2007. "Agreement and Kappa-Type Indices," The American Statistician, American Statistical Association, vol. 61, pages 148-153, May.
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