Qualitative Research · 2020 · 174 citations · 42 references
EngineeringInteractive ProcessQualitative TeamCommunicationSemanticsQualitative InterpretationData ScienceComputational LinguisticsManagementAffective ComputingData IntegrationConversation AnalysisData CodingContent AnalysisInter-rater ConsistencySemantic InterpretationInformation ManagementCode RepresentationQualitative CodingAutomated ReasoningQualitative AnalysisData PracticeLayered CodebookHuman-computer InteractionQualitative MethodSurvey MethodologyData Modeling
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.
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Using thematic analysis in psychology
Virginia Braun, Victoria Clarke · Qualitative Research in Psychology · 2006 · 169.5K citations · Full text
Yvonna S. Lincoln, Egon G. Guba, Joseph J. Pilotta · International Journal of Intercultural Relations · 1985 · 32.1K citations
Lorelli Nowell, Jill M. Norris, Deborah White et al. · International Journal of Qualitative Methods · 2017 · 11.6K citations · Full text