performing-axial-coding

To convert open codes into a grounded theory paradigm model, you process open-coding outputs to identify axial-coding categories, define category attributes, and map relationships. This organizes conditions, actions, and consequences into a structured paradigm.

Yes, you can use networkx to map category relationships in qualitative analysis. The skill leverages networkx alongside pandas and scikit-learn to process open codes and build structured category-to-category relationship files for theory construction.

The best way to integrate research notes into a systematic category system is applying axial coding to refine open codes. This identifies core categories and builds relationship structures, outputting structured JSON files for paradigm construction.

Yes, this axial coding skill requires an open-coding output file named codes.json. Running the skill's pipeline processes this input to generate categories.json, relationships.json, and paradigm.json in a consistent structured workflow.

A Strauss-style paradigm model organizes qualitative data by structuring phenomenon, conditions, action strategies, and consequences. This framework maps category relationships to support theoretical writing and narrative construction in grounded theory.

Automated axial coding for grounded theory requires pre-existing open codes and cannot generate theories independently. It processes structural relationships and paradigm models mechanically, meaning researchers must still interpret the narrative and theoretical context manually.