Beyond a coefficient: an interactive process for achieving inter-rater consistency in qualitative coding
| Autor: | E. Jean Gubbins, Carolyn M. Callahan, Vonna Hemmler, Allison W. Kenney, Shannon Holder, Susan Dulong Langley |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 05 social sciences 050401 social sciences methods 050301 education computer.software_genre Inter-rater reliability 0504 sociology History and Philosophy of Science Artificial intelligence business 0503 education computer Social Sciences (miscellaneous) Natural language processing Qualitative research Coding (social sciences) |
| Zdroj: | Qualitative Research. 22:194-219 |
| ISSN: | 1741-3109 1468-7941 |
| DOI: | 10.1177/1468794120976072 |
| Popis: | Though qualitative research has become more prevalent in practice over the last 30 years, there is still considerable uncertainty among researchers regarding how to ensure inter-rater consistency when teams are tasked with coding qualitative data. In this article, we offer an explanation of a methodology that our qualitative team used to achieve systematic coding of our dataset in a way that preserved the contextual, subjective nature of the data, lent itself to the deductive and inductive creation of a layered codebook, and ensured consistent application of the codebook to varied types of data. This methodology prepared us to draw logical and substantiated conclusions during subsequent analyses; hence, the process serves as a welcome addition to the literature on consistently coding qualitative data in a manner that honors its defining characteristics. |
| Databáze: | OpenAIRE |
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