Coding
The process of assigning labels to segments of qualitative data to categorize, summarize, and capture their primary meaning.
What is Coding?
Coding is the foundational analytical step in qualitative research where researchers systematically break down raw data (text, audio, images) and attach descriptive or conceptual labels (codes) to specific excerpts. These codes serve as building blocks that are later aggregated into broader themes or categories.
Why Coding Matters
Coding is what transitions raw, chaotic qualitative data into an organized, analyzable structure. Without systematic coding, qualitative research would just be anecdotal storytelling rather than rigorous, traceable scientific inquiry.
Example
While analyzing a transcript about remote work, a researcher highlights the sentence 'I feel completely isolated from my team' and assigns it the code 'Lack of connection.'
Common Mistakes
- Over-coding data by assigning hundreds of overly specific codes, making it impossible to synthesize them into meaningful themes.
- Under-coding by only assigning broad, superficial labels that miss the nuance and complexity of the participants' actual statements.