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An approach for selecting and using a method of inter-coder reliability in information management research

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  • Nili, Alireza
  • Tate, Mary
  • Barros, Alistair
  • Johnstone, David

Abstract

Qualitative researchers in information management research often need to evaluate inter-coder reliability (ICR) to test the trustworthiness of their content analysis. A suitable method of evaluating ICR enables researchers to rigorously assess the degree of agreement among two or more independent qualitative coders. This allows researchers to identify mistakes in the content analysis before the codes are used in developing and testing a theory or a measurement model and avoid any associated time, effort and financial cost. Different methods have been proposed, but little guidance is available on which approach to evaluating ICR should be used. In this paper, we review and compare leading ICR methods that are suitable for qualitative information management research. We propose an approach for selecting and using an ICR method, supported by an illustrative example. The five steps in our proposed approach include: selecting an ICR method based on its characteristics and requirements of a project; developing a coding scheme; selecting and training independent coders; calculating the ICR coefficient and resolving discrepancies; and reporting the process of evaluating ICR and its results.

Suggested Citation

  • Nili, Alireza & Tate, Mary & Barros, Alistair & Johnstone, David, 2020. "An approach for selecting and using a method of inter-coder reliability in information management research," International Journal of Information Management, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ininma:v:54:y:2020:i:c:s0268401219308564
    DOI: 10.1016/j.ijinfomgt.2020.102154
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    Cited by:

    1. Xusen Cheng & Ying Bao & Bo Yang & Sihua Chen & Yiting Zuo & Mikko Siponen, 2023. "Investigating Students’ Satisfaction with Online Collaborative Learning During the COVID-19 Period: An Expectation-Confirmation Model," Group Decision and Negotiation, Springer, vol. 32(4), pages 749-778, August.
    2. Sebastian Schötteler & Sven Laumer & Heidi Schuhbauer, 2023. "Consequences of Enterprise Social Media Network Positions for Employees," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 425-440, August.
    3. Aman, Sadaf & Seuring, Stefan, 2022. "Interestingly it's innovation: Reviewing sustainability performance management in the base of the pyramid (BoP)," Technovation, Elsevier, vol. 112(C).

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