Discover 6 practical ways AI can support your qualitative research – without replacing your analysis. Built for coders, not chatbots.
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Values coding deals with labeling the values, attitudes and belief systems that are expressed by participants.
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This article introduces emotion coding in qualitative research and offers a guide on using it effectively.
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Descriptive coding is where you code passages according to topic in order to summarize the topic of the data.
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This article covers all things line-by-line coding, shedding light on how this method works and providing a step-by-step guide to the process.
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Abductive coding helps researchers move between theory and data to uncover new insights. See how it works in practice and how tools like Delve support the process.
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In vivo codes use the direct language and terminology used by the participants rather than alternative methods where codes are researcher-derived.
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Find connections between ideas in your research using axial coding. Read more for a step by step example of the qualitative analysis method of axial coding.
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This article covers split coding and consensus coding, used by research teams to enhance the trustworthiness of their qualitative data analysis.
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Intercoder reliability ensures that when you have multiple researchers coding a set of data, that they come to the same conclusions.
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Thematic analysis involves reading through a data set and identifying patterns in meaning across the data.
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This article delves into inductive thematic analysis and deductive thematic analysis.
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This article introduces reflexive thematic analysis (RTA) in qualitative research, a flexible yet systematic approach to thematic analysis that values the researcher’s subjectivity.
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Choose a deductive approach to start with predefined codes, an inductive approach to let the data guide your coding, or blend both for flexibility in your qualitative research.
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Open coding, axial coding, and selective coding are all steps in the grounded theory method of analyzing qualitative data.
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Pattern coding groups qualitative data into sets, themes, and constructs.
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Structural coding when you to take a large set of semi-structured data, and structure it into smaller pieces for further analysis.
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Initial coding is where you break down your qualitative data into discrete excerpts and create codes to label them with.
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Learn how to create a codebook in thematic analysis, including best practices and tools to improve the quality of your research.
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Exploring the differences between grounded theory and qualitative content analysis helps you choose the right approach for your research.
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