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Measures of interrater agreement for quantitative data

Author

Listed:
  • Daniela Marella

    (Università “La Sapienza”)

  • Giuseppe Bove

    (Università Roma TRE)

Abstract

In this paper measures of interrater absolute agreement for quantitative measurements based on the standard deviation are proposed. Such indices allow (i) to overcome the limits affecting the intraclass correlation index; (ii) to measure the interrater agreement on single targets. Estimators of the proposed measures are introduced and their sampling properties are investigated for normal and non-normal data. Simulated data are employed to demonstrate the accuracy and practical utility of the new indices for assessing agreement. Finally, an application to assess the consistency of measurements performed by radiologists evaluating tumor size of lung cancer is presented.

Suggested Citation

  • Daniela Marella & Giuseppe Bove, 2024. "Measures of interrater agreement for quantitative data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(4), pages 801-821, December.
    • Handle: RePEc:spr:alstar:v:108:y:2024:i:4:d:10.1007_s10182-023-00483-x
    DOI: 10.1007/s10182-023-00483-x
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    References listed on IDEAS

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    1. Giuseppe Bove & Pier Luigi Conti & Daniela Marella, 2021. "A measure of interrater absolute agreement for ordinal categorical data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(3), pages 927-945, September.
    2. Matthijs Warrens, 2010. "Inequalities between multi-rater kappas," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(4), pages 271-286, December.
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