methodology

Deductive Coding

Deductive coding is a qualitative data analysis method where researchers apply a pre-defined set of codes or categories to data, based on existing theories, frameworks, or hypotheses. It involves systematically labeling data segments according to these predetermined codes to test or refine theoretical concepts. This approach is often used in structured research to analyze interviews, documents, or observations in a top-down manner.

Also known as: Top-down coding, A priori coding, Theory-driven coding, Pre-defined coding, Structured coding
🧊Why learn Deductive Coding?

Developers should learn deductive coding when working on projects that involve qualitative data analysis, such as user research, content analysis, or thematic studies in software development contexts. It is particularly useful for validating hypotheses, applying established frameworks (e.g., usability heuristics), or ensuring consistency in coding across large datasets, making it valuable in fields like human-computer interaction or data science.

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