From Text to Codings: Intercoder Reliability Assessment in Qualitative Content Analysis
By Laila Burla, Birte Knierim, Juergen Barth, Katharina Liewald, M. Duetz, Thomas Abel. Nursing Research, 2008
606 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/03e269687270584b71bf06ea12ae152225a3ac91
How researchers see this paper
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In Sociology and Political Science
- S. Langley
- S. Holder
- E. J. Gubbins
- O. K. Pedersen
- Vonna L. Hemmler
- Clíodhna O’Connor
- Helvi Kyngäs
- Carolyn M. Callahan
In Statistics and Probability
Citations in the corpus
- Beyond a coefficient: an interactive process for achieving inter-rater consistency in qualitative coding (2020, background): “What we reached in the end was not only a way to communicate consistency in our coding that did not hinge on a certain quantifiable level, but also a justifiable way to engage in single-coding the remaining data in a time- and costeffective manner (Burla et al., 2008; Saldaña, 2016).”
- Qualitative Content Analysis (2014, methodology): “It is recommended that the analysis be performed by more than one person to increase the comprehensivity and provide sound interpretation of the data (Burla et al., 2008; Schreier, 2012).”
- Intercoder Reliability in Qualitative Research: Debates and Practical Guidelines (2020, background): “This is important when data coding is distributed across multiple researchers, as large projects frequently necessitate (Burla et al., 2008; MacPhail et al., 2016).”
- Coding In-depth Semistructured Interviews (2013, background): “Others have argued that during the deployment stage, high values of intercoder reliability justify the choice for one rather than two or more coders using one set of codes (Burla et al. 2008:116; Dunn 1989:37).”